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Hire Dr. Adeniyi Francis F.

United Kingdom

USD 50 /hr

Decades of expereience in Health data science, Biostatistics and Monitoring and Evaluation,

Profile Summary

I am a Biostatistician, Health Data Scientist and Monitoring and Evaluation, Consultant. I am a First-Class Honours graduate of Statistics in addition to a Master’s Degree in Medical Statistics, Public Health, Monitoring and Evaluation and a Doctorate degree in Biostatistics with a keen interest in Health Data Science, Data Analytics, Application of Statistics and Demography in Human Health. I have consulted, taught and mentored several Undergraduate and Postgraduate students and also conducted research and surveys which centered on disease modelling and applications of Biostatistics, survival analysis, time series analysis, project development, monitoring and evaluation, and curriculum development as well as data management and reporting. Am proficient in the use of most statistical software packages such as R, Stata, Power BI, Tableau, SPSS, Python, Epi Info, MS Excel etc. I have published research and academic papers that utilized advanced statistical techniques and methodologies in peer-reviewed journals. I have also participated in several rounds of national HIV/AIDS and health surveys and in scores of medical and health studies within the University.

Subject Matter Expertise

Services

Research
Consulting
Data & AI

Research Meta-Research, Scientific and Technical Research, Secondary Data Collection

Consulting Business Strategy Consulting, Digital Strategy Consulting, Healthcare Consulting, Operations Consulting, Scientific and Technical Consulting, Financial Consulting

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

Work Experience

University of St Andrews

- Present

Assistant Professor / Associate Professor

University of Ibadan

January 2007 - Present

Education

PhD

University of Ibadan

September 2009 - February 2012

Certifications

Implememntation Science

WHO TDR

January 2017 - Present

Publications

JOURNAL ARTICLE

Adeniyi Francis Fagbamigbe, Adeponle O. Adeoye, Yewande T. Nejo, Chinwe L. Ochu, Josephine Bayigga, Rodgers R. Ayebare, Adedayo O. Faneye, Charles O. Adewemimo, Oluwaseun Emmanuel Falayi, Prosper Okonkwo, et al. (2025). Perspectives of healthcare stakeholders in Nigeria on the impact of COVID-19 on health services . Journal of Public Health in Africa.

Igumbor J, Malomane R, Zingoni ZM et al. Comparative Analysis of Factors Influencing Optimal and Timely Antenatal Care Uptake in Kenya, South Africa, and Nigeria: A Cross-Section Study [version 1; peer review: awaiting peer review] Wellcome Open Res 2024, 9:644 (https://doi.org/10.12688/wellcomeopenres.22930.1) .

Jude Igumbor, Rixongile Malomane, Zvifadzo Matsena Zingoni, Kennedy Otwombe, Ike Adeoye, Margaret Akinwaare, Violet Bosire, Singilizwe Moko, Tumaini Malenga, Adeniyi Fagbamigbe, et al. (2024). Comparative Analysis of Factors Influencing Optimal and Timely Antenatal Care Uptake in Kenya, South Africa, and Nigeria: A Cross-Section Study . Wellcome Open Research.

Adeniyi Francis Fagbamigbe, Elizabeth Bodley‐Scott, Rebecca J. Ward, Jennifer Tarabay, Stephanie Barker, Nick Maguire (2024). The effectiveness of psychological interventions for people experiencing homelessness: A systematic review and meta‐analysis . Journal of Community & Applied Social Psychology.

Elisante Abraham, Cindy Gray, Adeniyi F. Fagbamigbe, Fabrizio Tediosi, Brianna Otesinky, Joke Haafkens, Grace Mhalu, Sally Mtenga (2024). Barriers and facilitators to health insurance enrolment among people working in the informal sector in Morogoro, Tanzania . Open Research Africa.

Olawuyi MO, Olaniyan FA, Olowookere OO, Fagbamigbe AF(2024). Functional Disability and Social Support in Older Patients attending Chief Tony Anenih Geriatrics Center (CTAGC) University College Hospital, Ibadan Southwestern, Nigeria . West African journal of medicine.

Prendes, C.F., Rantner, B., Hamwi, T., Stana, J., Feigin, V.L., Stavroulakis, K., Tsilimparis, N., Fernandez Prendes, C., Rantner, B., Hamwi, T., et al.(2024). Burden of Stroke in Europe: An Analysis of the Global Burden of Disease Study Findings from 2010 to 2019 . Stroke. 55. (2). p. 432-442.

Spatio-temporal analysis of childhood vaccine uptake in Nigeria @article{f8f6e3df67fb4333b1bb5fb18cead5b4, title = "Spatio-temporal analysis of childhood vaccine uptake in Nigeria: a hierarchical Bayesian Zero-inflated Poisson approach", abstract = "Background: Globally, child mortality and morbidity remain a serious health challenge and infectious diseases are the leading causes. The use of count models together with spatial analysis of the number of doses of childhood vaccines taken is limited in the literature. We used a Bayesian zero-inflated Poisson regression model with spatio-temporal components to assess the number of doses of childhood vaccines taken among children aged 12–23 months and their associated factors. Methods: Data of 19,564 children from 2003, 2008, 2013 and 2018 population-based cross-sectional Nigeria Demographic and Health Survey were used. The childhood vaccines include one dose of Bacillus-Calmette-Gu{\'e}rin; three doses of Diphtheria-Pertussis-Tetanus; three doses of Polio and one dose of Measles. Uptake of all nine vaccines was regarded as full vaccination. We examined the multilevel factors associated with the number of doses of childhood vaccines taken using descriptive, bivariable and multivariable Bayesian models. Analysis was conducted in Stata version 16 and R statistical packages, and visualization in ArcGIS. Results: The prevalence of full vaccination was 6.5% in 2003, 14.8% in 2008, 21.8% in 2013 and 23.3% in 2018. Full vaccination coverage ranged from 1.7% in Sokoto to 51.9% in Anambra. Factors associated with the number of doses of childhood vaccines taken include maternal age (adjusted Incidence “risk” Ratio (aIRR) = 1.05; 95% Credible Interval (CrI) = 1.03–1.07) for 25–34 years and (aIRR = 1.07; 95% CrI = 1.05–1.10) for 35–49 years and education: (aIRR = 1.11, 95% CrI = 1.09–1.14) for primary and (aIRR = 1.16; 95% CrI = 1.13–1.19) for secondary/tertiary education. Other significant factors are wealth status, antenatal care attendance, working status, use of skilled birth attendants, religion, mother{\textquoteright}s desire for the child, community poverty rate, community illiteracy, and community unemployment. Conclusion: Although full vaccination has remained low, there have been improvements over the years with wide disparities across the states. Improving the uptake of vaccines by educating women on the benefits of hospital delivery and vaccines through radio jingles and posters should be embraced, and state-specific efforts should be made to address inequality in access to routine vaccination in Nigeria.", keywords = "Bayesian, Child vaccination, Immunization, MCMC, Multilevel, Nigeria, Zero-inflated Poisson", author = "Lawal, {Temitayo Victor} and Atoloye, {Kehinde Adebola} and Adebowale, {Ayo Stephen} and Fagbamigbe, {Adeniyi Francis}", note = "Funding Information: The authors are grateful to ICF Macro, USA, for granting the authors the request to use the Demographic and Health Survey data. Publisher Copyright: {\textcopyright} 2023, BioMed Central Ltd., part of Springer Nature.", year = "2023", month = dec, doi = "10.1186/s12887-023-04300-x", language = "English", volume = "23", journal = "BMC Pediatrics", issn = "1471-2431", publisher = "BioMed Central", number = "1", } . BMC Pediatrics.

Adeniyi Francis Fagbamigbe, Sreeram V. Ramagopalan, Utkarsh Agrawal, Amaya Azcoaga-Lorenzo, Briana MacKerron, Eda Bilici Özyiğit, Daniel C. Alexander, Ashley Akbari, Rhiannon K. Owen, Jane Lyons, et al. (2023). Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland . PLOS ONE.

Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland @article{8fea5f67471b42b9b192dbc94e525d8c, title = "Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland", abstract = "There is still limited understanding of how chronic conditions co-occur in patients with multimorbidity and what are the consequences for patients and the health care system. Most reported clusters of conditions have not considered the demographic characteristics of these patients during the clustering process. The study used data for all registered patients that were resident in Fife or Tayside, Scotland and aged 25 years or more on 1st January 2000 and who were followed up until 31st December 2018. We used linked demographic information, and secondary care electronic health records from 1st January 2000. Individuals with at least two of the 31 Elixhauser Comorbidity Index conditions were identified as having multimorbidity. Market basket analysis was used to cluster the conditions for the whole population and then repeatedly stratified by age, sex and deprivation. 318,235 individuals were included in the analysis, with 67,728 (21·3%) having multimorbidity. We identified five distinct clusters of conditions in the population with multimorbidity: alcohol misuse, cancer, obesity, renal failure, and heart failure. Clusters of long-term conditions differed by age, sex and socioeconomic deprivation, with some clusters not present for specific strata and others including additional conditions. These findings highlight the importance of considering demographic factors during both clustering analysis and intervention planning for individuals with multiple long-term conditions. By taking these factors into account, the healthcare system may be better equipped to develop tailored interventions that address the needs of complex patients.", author = "Fagbamigbe, {Adeniyi Francis} and Utkarsh Agrawal and Amaya Azcoaga-Lorenzo and Briana MacKerron and {\"O}zyiğit, {Eda Bilici} and Alexander, {Daniel C.} and Ashley Akbari and Owen, {Rhiannon K.} and Jane Lyons and Lyons, {Ronan A.} and Spiros Denaxas and Paul Kirk and Miller, {Ana Corina} and Gill Harper and Carol Dezateux and Anthony Brookes and Sylvia Richardson and Krishnarajah Nirantharakumar and Bruce Guthrie and Lloyd Hughes and Kadam, {Umesh T.} and Kamlesh Khunti and Abrams, {Keith R.} and Colin McCowan", note = "Funding: CMC: This work was supported by Health Data Research UK (HDR UK) Measuring and Understanding Multimorbidity using Routine Data in the UK (HDR-9006; CFC0110). Health Data Research UK (HDR-9006) is funded by: UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, the National Institute for Health Research (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome Trust. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. NO", year = "2023", month = nov, day = "29", doi = "10.1371/journal.pone.0294666", language = "English", volume = "18", journal = "PloS ONE", issn = "1932-6203", publisher = "PUBLIC LIBRARY SCIENCE", number = "11", } . PloS ONE.

Modupe O. Coker, Olayinka A. Kotila, Taiwo O. Adigun, Temitayo V. Lawal, Adeniyi F. Fagbamigbe, Angela U. Makolo, Mobolaji M. Salawu, David T. Ajayi, Paul E. Oluniyi, Judith U. Oguzie, et al. (2023). Data science training needs in sub-Saharan Africa: Implications for biomedical research and therapeutics capacity . Open Research Africa.

Coker MO, Kotila OA, Adigun TO et al. Data science training needs in sub-Saharan Africa: Implications for biomedical research and therapeutics capacity [version 1; peer review: awaiting peer review] Open Res Africa 2023, 6:21 (https://doi.org/10.12688/openresafrica.14109.1) .

Detection and evaluation of signals associated with exposure to individual and combination of medications in pregnancy @article{2f67de3d2eb942578bb8e1f69db97ad4, title = "Detection and evaluation of signals associated with exposure to individual and combination of medications in pregnancy: A signal detection study protocol", abstract = "Introduction Considering the high prevalence of polypharmacy in pregnant women and the knowledge gap in the risk–benefit safety profile of their often-complex treatment plan, more research is needed to optimise prescribing. In this study, we aim to detect adverse and protective effect signals of exposure to individual and pairwise combinations of medications during pregnancy.Methods and analysis Using a range of real-world data sources from the UK, we aim to conduct a pharmacovigilance study to assess the safety of medications prescribed during the preconception period (3 months prior to conception) and first trimester of pregnancy. Women aged between 15 and 49 years with a record of pregnancy within the Clinical Practice Research Datalink (CPRD) Pregnancy Register, the Welsh Secure Anonymised Information Linkage (SAIL), the Scottish Morbidity Record (SMR) data sets and the Northern Ireland Maternity System (NIMATS) will be included. A series of case control studies will be conducted to estimate measures of disproportionality, detecting signals of association between a range of pregnancy outcomes and exposure to individual and combinations of medications. A multidisciplinary expert team will be invited to a signal detection workshop. By employing a structured framework, signals will be transparently assessed by each member of the team using a questionnaire appraising the signals on aspects of temporality, selection, time and measurement-related biases and confounding by underlying disease or comedications. Through group discussion, the expert team will reach consensus on each of the medication exposure–outcome signal, thereby excluding spurious signals, leaving signals suggestive of causal associations for further evaluation.Ethics and dissemination Ethical approval has been obtained from the Independent Scientific Advisory Committee, SAIL Information Governance Review Panel, University of St. Andrews Teaching and Research Ethics Committee and Office for Research Ethics Committees Northern Ireland (ORECNI) for access and use of CPRD, SAIL, SMR and NIMATS data, respectively.", author = "Anuradhaa Subramanian and Lee, {Siang Ing} and Sudasinghe, {Sudasing Pathirannehelage Buddhika Hemali} and Steven Wambua and Katherine Phillips and Megha Singh and Amaya Azcoaga-Lorenzo and Neil Cockburn and Jingya Wang and Adeniyi Fagbamigbe and Muhammad Usman and Christine Damase-Michel and Christopher Yau and Lisa Kent and Colin McCowan and Dermot OReilly and Gillian Santorelli and Holly Hope and Jonathan Kennedy and Mohamed Mhereeg and Abel, {Kathryn Mary} and Kelly-Ann Eastwood and Mairead Black and Maria Loane and Ngawai Moss and Sinead Brophy and Peter Brocklehurst and Helen Dolk and Catherine Nelson-Piercy and Krishnarajah Nirantharakumar", note = "This work is independent research funded by the Strategic Priority Fund 'Tackling multimorbidity at scale' programme (grant number MR/W014432/1) delivered by the Medical Research Council and the National Institute for Health Research in partnership with the Economic and Social Research Council and in collaboration with the Engineering and Physical Sciences Research Council. The views expressed are those of the author and not necessarily those of the funders, the NIHR or the UK Department of Health and Social Care. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.This work was also supported by Health Data Research UK (HDRUK2023.0030), which is funded by UK Research and Innovation, the Medical Research Council, the British Heart Foundation, Cancer Research UK, the National Institute for Health and Care Research, the Economic and Social Research Council, the Engineering and Physical Sciences Research Council, Health and Care Research Wales, Health and Social Care Research and Development Division (Public Health Agency, Northern Ireland), Chief Scientist Office of the Scottish Government Health and Social Care Directorates", year = "2023", month = oct, day = "9", doi = "10.1136/bmjopen-2023-073162", language = "English", volume = "13", journal = "BMJ Open", issn = "2044-6055", publisher = "BMJ Publishing Group", number = "10", } . BMJ Open.

Ethnic inequalities in positive SARS-CoV-2 tests, infection prognosis, COVID-19 hospitalisations and deaths @article{339b5c55955c4367acd50b4c2d4b173a, title = "Ethnic inequalities in positive SARS-CoV-2 tests, infection prognosis, COVID-19 hospitalisations and deaths: Analysis of 2 years of a record linked national cohort study in Scotland", abstract = "Background This study aims to estimate ethnic inequalities in risk for positive SARS-CoV-2 tests, COVID-19 hospitalisations and deaths over time in Scotland. Methods We conducted a population-based cohort study where the 2011 Scottish Census was linked to health records. We included all individuals ≥ 16 years living in Scotland on 1 March 2020. The study period was from 1 March 2020 to 17 April 2022. Self-reported ethnic group was taken from the census and Cox proportional hazard models estimated HRs for positive SARS-CoV-2 tests, hospitalisations and deaths, adjusted for age, sex and health board. We also conducted separate analyses for each of the four waves of COVID-19 to assess changes in risk over time. Findings Of the 4 358 339 individuals analysed, 1 093 234 positive SARS-CoV-2 tests, 37 437 hospitalisations and 14 158 deaths occurred. The risk of COVID-19 hospitalisation or death among ethnic minority groups was often higher for White Gypsy/Traveller (HR 2.21, 95% CI (1.61 to 3.06)) and Pakistani 2.09 (1.90 to 2.29) groups compared with the white Scottish group. The risk of COVID-19 hospitalisation or death following confirmed positive SARS-CoV-2 test was particularly higher for White Gypsy/Traveller 2.55 (1.81-3.58), Pakistani 1.75 (1.59-1.73) and African 1.61 (1.28-2.03) individuals relative to white Scottish individuals. However, the risk of COVID-19-related death following hospitalisation did not differ. The risk of COVID-19 outcomes for ethnic minority groups was higher in the first three waves compared with the fourth wave. Interpretation Most ethnic minority groups were at increased risk of adverse COVID-19 outcomes in Scotland, especially White Gypsy/Traveller and Pakistani groups. Ethnic inequalities persisted following community infection but not following hospitalisation, suggesting differences in hospital treatment did not substantially contribute to ethnic inequalities.", keywords = "COVID-19, epidemiology, ethnic groups, health inequalities, public health", author = "Sarah Amele and Eliud Kibuchi and Ronan McCabe and Anna Pearce and Paul Henery and Kirsten Hainey and Fagbamigbe, {Adeniyi Francis} and Amanj Kurdi and Colin McCowan and Simpson, {Colin R.} and Chris Dibben and Duncan Buchanan and Evangelia Demou and Fatima Almaghrabi and Gina Anghelescu and Harry Taylor and Holly Tibble and Igor Rudan and James Nazroo and Laia B{\'e}cares and Luke Daines and Patricia Irizar and Sandra Jayacodi and Serena Pattaro and Aziz Sheikh and Katikireddi, {Srinivasa Vittal}", note = "Funding Information: This work was supported by the ESRC (grant number ES/W000849/1). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. SA, EK, RM, AP, KH, ED and SVK are supported by Medical Research Council (MC_UU_00022/2) and the Scottish Government Chief Scientist Office (SPHSU17). SVK acknowledges funding from a National Records of Scotland Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_00022/2) and the Scottish Government Chief Scientist Office (SPHSU17). AP acknowledges funding from Wellcome Trust (205412/Z/16/Z). Publisher Copyright: {\textcopyright} Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.", year = "2023", month = oct, day = "1", doi = "10.1136/jech-2023-220501", language = "English", volume = "77", pages = "641--648", journal = "Journal of Epidemiology and Community Health", issn = "0143-005X", publisher = "BMJ Publishing Group", number = "10", } . Journal of Epidemiology and Community Health.

Adeniyi Francis Fagbamigbe, Temitayo Victor Lawal, Kehinde Adebola Atoloye, Ayo Stephen Adebowale (2023). Spatio-temporal analysis of childhood vaccine uptake in Nigeria: a hierarchical Bayesian Zero-inflated Poisson approach . BMC Pediatrics.

Understanding and reporting odds ratios as rate-ratio estimates in case-control studies @article{2dbf3eeb5e90475eb8471b8ff50d9273, title = "Understanding and reporting odds ratios as rate-ratio estimates in case-control studies", abstract = "Background: We noted that there remains some confusion in the health-science literature on reporting sample odds ratios as estimated rate ratios in case-control studies. Methods: We recap historical literature that definitively answered the question of when sample odds ratios (ORs) from a case-control study are consistent estimators for population rate ratios. We use numerical examples to illustrate the magnitude of the disparity between sample ORs in a case-control study and population rate ratios when sufficient conditions for them to be equal are not satisfied. Results: We stress that in a case-control study, sampling controls from those still at risk at the time of outcome event of the index case is not sufficient for a sample OR to be a consistent estimator for an intelligible rate ratio. In such studies, constancy of the exposure prevalence together with constancy of the hazard ratio (HR) (i.e., the instantaneous rate ratio) over time is sufficient for this result if sampling time is not controlled; if time is controlled, constancy of the HR will suffice. We present numerical examples to illustrate how failure to satisfy these conditions adds a small systematic error to sample ORs as estimates of population rate ratios. Conclusions: We recommend that researchers understand and critically evaluate all conditions used to interpret their estimates as consistent for a population parameter in case-control studies.", author = "Steven Kerr and Sander Greenland and Karen Jeffrey and Tristan Millington and Stuart Bedston and Lewis Ritchie and Simpson, {Colin R.} and Fagbamigbe, {Adeniyi Francis} and Amanj Kurdi and Chris Robertson and Aziz Sheikh and Igor Rudan", note = "Funding: EAVE II is funded by the Medical Research Council (MR/R008345/1) with the support of BREATHE – The Health Data Research Hub for Respiratory Health [MC_PC_19004], which is funded through the UK Research and Innovation Industrial Strategy Challenge Fund and delivered through Health Data Research UK. Additional support has been provided through Public Health Scotland and Scottish Government DG Health and Social Care). SVK acknowledges funding from a NRS Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_00022/2) and the Scottish Government Chief Scientist Office (SPHSU17).", year = "2023", month = sep, day = "15", doi = "10.7189/jogh.13.04101", language = "English", volume = "13", journal = "Journal of Global Health", issn = "2047-2978", publisher = "Edinburgh University Global Health Society", } . Journal of Global Health.

Adeniyi Francis Fagbamigbe, Amaya Azcoaga-Lorenzo, Utkarsh Agrawal, Mairead Black, Muhammad Usman, Siang Ing Lee, Kelly-Ann Eastwood, Ngawai Moss, Rachel Plachcinski, Catherine Nelson-Piercy, et al. (2023). Maternal multimorbidity and preterm birth in Scotland: an observational record-linkage study . BMC Medicine.

Maternal Multimorbidity and preterm birth in Scotland @article{1692baed98f6407b834e561c3347a3f7, title = "Maternal Multimorbidity and preterm birth in Scotland: An Observational Record-Linkage Study ", abstract = "BackgroundMultimorbidity is common in women across the life course. Preterm birth is the single biggest cause of neonatal mortality and morbidity. We aim to estimate the prevalence of multimorbidity in pregnant women and to examine the association between maternal multimorbidity and PTB.MethodsThis is a retrospective cohort study using electronic health records from the Scottish Morbidity Records. All pregnancies among women aged 15 to 49 with a conception date between 1 January 2014 and 31 December 2018 were included. Multimorbidity was defined as the presence of two or more pre-existing long-term physical or mental health conditions, and complex multimorbidity as the presence of four or more. It was calculated at the time of conception using a predefined list of 79 conditions published by the MuM-PreDiCT consortium. PTB was defined as babies born alive between 24 and less than 37 completed weeks of gestation. We used Generalised Estimating Equations adjusted for maternal age, socioeconomic status, number of previous pregnancies, BMI, and smoking history to estimate the effect of maternal pre-existing multimorbidity. Absolut rates are reported in the results and tables, whilst Odds Ratios (ORs) are adjusted (aOR).Results30, 557 singleton births from 27,711 pregnant women were included in the analysis. The prevalence of pre-existing multimorbidity and complex multimorbidity was 16.8% (95% CI: 16.4-17.2) and 3.6% (95% CI: 3.3-3.8), respectively. The prevalence of multimorbidity in the youngest age group was 10.2%(95% CI: 8.8-11.6), while in those 40 to 44, it was 21.4% (95% CI: 18.4-24.4), and in the 45 to 49 age group, it was 20% (95% CI: 8.9-31.1). In women without multimorbidity, the prevalence of PTB was 6.7%; it was 11.6% in women with multimorbidity and 15.6% in women with complex multimorbidity. After adjusting for maternal age, socioeconomic status, number of previous pregnancies, Body Mass Index (BMI), and smoking, multimorbidity was associated with higher odds of PTB ( aOR= 1.64, 95% CI: 1.48-1.82)ConclusionsMultimorbidity at the time of conception was present in one in six women and was associated with an increased risk of preterm birth. Multimorbidity presents a significant health burden to women and their offspring. Routine and comprehensive evaluation of women with multimorbidity before and duringpregnancy is urgently needed. ", keywords = "Multimorbidity, pregnancy, Premature birth, Electronic health records, Generalised Estimating Equation", author = "Amaya Azcoaga-Lorenzo and Adeniyi Fagbamigbe and Utkarsh Agrawal and Mairead Black and Muhammad Usman and Lee, {Siang Ing} and Eastwood, {Kelly Ann} and Ngawai Moss and Rachel Plachcinski and Catherine Nelson-Piercy and Sinead Brophy and Dermot O´Reilly and Krishnarajah Nirantharakumar and Colin McCowan and {MuM-PreDiCT Group}", note = "Acknowledgements We acknowledge the support of the Health Informatics Centre, University of Dundee for managing and supplying the anonymised data and NHS Tayside and Fife for the original data source. Funding This work was funded by Northwood Charitable Trust and by the Strategic Priority Fund “Tackling multimorbidity at scale” programme (grant number MR/W014432/1) delivered by the Medical Research Council and the National Institute for Health Research in partnership with the Economic and Social Research Council and in collaboration with the Engineering and Physical Sciences Research Council. The views expressed are those of the author and not necessarily those of the funders, the NIHR, or the UK Department of Health and Social Care. The funders had no role in study design, data collection and analysis, decision to publish, or manuscript preparation.", year = "2023", month = sep, day = "12", doi = "10.1186/s12916-023-03058-4", language = "English", volume = "21", journal = "BMC medicine ", issn = "1741-7015", publisher = "BioMed Central", } . BMC medicine.

Kerr S, Greenland S, Jeffrey K, Millington T, Bedston S, Ritchie L, Simpson CR, Fagbamigbe AF, Kurdi A, Robertson C, et al.(2023). Understanding and reporting odds ratios as rate-ratio estimates in case-control studies . Journal of global health.

Adeniyi Francis Fagbamigbe, Siang Ing Lee, Stephanie Hanley, Zoe Vowles, Rachel Plachcinski, Ngawai Moss, Megha Singh, Chris Gale, Amaya Azcoaga-Lorenzo, Anuradhaa Subramanian, et al. (2023). The development of a core outcome set for studies of pregnant women with multimorbidity . BMC Medicine.

A multilevel Bayesian Markov Chain Monte Carlo Poisson modelling of factors associated with components of antenatal care offered to pregnant women in Nigeria @article{3042ce164ebc403abd90ff452c2fffad, title = "A multilevel Bayesian Markov Chain Monte Carlo Poisson modelling of factors associated with components of antenatal care offered to pregnant women in Nigeria", abstract = "Background: The most recent WHO guideline on antenatal care (ANC) utilization reaffirmed the necessary and compulsory care and services a pregnant woman should receive to maximize the importance and gains of ANC. While most studies focused on the time of initiation and number of ANC contacts, emphasis was rarely placed on the components of ANC offered to women. This study assessed how complete the components of ANC received by pregnant women are as a proxy for the quality of ANC services offered in Nigeria. We also assessed the clustering of the components and state-level differentials and inequalities in the components of ANC received in Nigeria. Methods: We used nationally representative cross-sectional data from the 2018 Nigeria Demographic Health Survey. We analysed the data of 11,867 women who had at least one ANC contact during the most recent pregnancy within five years preceding the survey. The assessed components were tetanus injection, blood pressure, urine test, blood test, iron supplement, malaria intermittent preventive treatment in pregnancy (IPTp), and told about danger signs. Others are intestinal parasite drugs (IPD)intermittent and HIV/PMTCT counsel. Descriptive statistics, bivariable and multivariable multilevel Bayesian Monte Carlo Poisson models were used. Results: In all, 94% had blood pressure measured, 91% received tetanus injection, had iron supplement-89%, blood test-87%, urine test-86%, IPTp-24%, danger signs-80%, HIV/PMTC-82% and IPD-22%. The overall prevalence of receiving all 9 components was 5% and highest in Ogun (24%) and lowest in Kebbi state (0.1%). The earlier the initiation of ANC, the higher the number of contacts, and the higher the quality of ANC received. Respondents with higher education have a 4% (adjusted incidence risk ratio (aIRR): 1.04, 95% credible interval (CrI): 1.01–1.09) higher risk of receiving more components of ANC relative to those with no education. The risk of receiving more ANC components was 5% (aIRRR: 1.05, 95% CI: 1.01–1.10) higher among pregnant women aged 40 to 49 years than those aged 15 to 19 years. Women who decide their healthcare utilization alone had a 2% higher risk of getting more components than those whose spouses are the only decision taker of healthcare use. Other significant factors were household wealth status, spouse education, ethnicity, place of ANC, and skill of ANC provider. Pregnant women who had their blood pressure measured were very likely to have blood and urine tests, tetanus injections, iron supplements, and HIV talks. Conclusions: Only one in every 20 pregnant women received all the 9 ANC components with wide disparities and inequalities across the background characteristics and the States of residence in Nigeria. There is a need to ensure that all pregnant women receive adequate components. Stakeholders should increase supplies, train, and create awareness among ANC providers and pregnant women in particular.", keywords = "ANC components, ANC contacts, Antenatal care, Nigeria, Quality of care, Supplements, WHO guidelines", author = "Fagbamigbe, {Omon Stellamaris} and Olaseinde, {Olugbenga Sunday} and Bello, {Oluwasomidoyin O.} and Vincent Setlhare and Nyaberi, {Jackline Mosinya} and Wegbom, {Anthony Ike} and Adebowale, {Ayo Stephen} and Fagbamigbe, {Adeniyi Francis}", note = "Funding Information: The authors thank the ICF for granting access to the dataset.", year = "2023", month = jul, day = "5", doi = "10.1186/s12913-023-09710-2", language = "English", volume = "23", journal = "BMC Health Services Research", issn = "1472-6963", publisher = "BioMed Central", number = "1", } . BMC Health Services Research.

Global burden of chronic respiratory diseases and risk factors, 1990–2019 @article{ab392fd6655d4e248a32452f1b484900, title = "Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019", abstract = "BackgroundUpdated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019.MethodsUsing data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input.FindingsIn 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6–4.3) with a prevalence of 454.6 million cases (417.4–499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4–225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9–3.6) deaths. With 262.4 million (224.1–309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively.InterpretationAlbeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries.", keywords = "Asthma, Chronic obstructive pulmonary disease, Epidemiology, Interstitial lung disease, Lung disease, Morbidity, Mortality, Pneumoconiosis, Pulmonary emphysema", author = "Sara Momtazmanesh and Moghaddam, {Sahar Saeedi} and Ghamari, {Seyyed Hadi} and Rad, {Elaheh Malakan} and Negar Rezaei and Parnian Shobeiri and Amirali Aali and Mohsen Abbasi-Kangevari and Zeinab Abbasi-Kangevari and Michael Abdelmasseh and Meriem Abdoun and Abdulah, {Deldar Morad} and {Md Abdullah}, {Abu Yousuf} and Aidin Abedi and Hassan Abolhassani and Zahra Abrehdari-Tafreshi and Basavaprabhu Achappa and Adane, {Denberu Eshetie Adane} and Adane, {Tigist Demssew} and Addo, {Isaac Yeboah} and Mohammad Adnan and Adnani, {Qorinah Estiningtyas Sakilah} and Sajjad Ahmad and Ali Ahmadi and Keivan Ahmadi and Ali Ahmed and Ayman Ahmed and Rashid, {Tarik Ahmed} and {Al Hamad}, Hanadi and Fares Alahdab and Astawus Alemayehu and Alif, {Sheikh Mohammad} and Aljunid, {Syed Mohamed} and Sami Almustanyir and Altirkawi, {Khalid A.} and Nelson Alvis-Guzman and Dehkordi, {Javad Aminian} and Mehrdad Amir-Behghadami and Robert Ancuceanu and Andrei, {Catalina Liliana} and Tudorel Andrei and Antony, {Catherine M.} and Anyasodor, {Anayochukwu Edward} and Jalal Arabloo and Judie Arulappan and Tahira Ashraf and Athari, {Seyyed Shamsadin} and Attia, {Engi F.} and Fagbamigbe, {Adeniyi Francis} and Santosh Gaihre and {GBD 2019 Chronic Respiratory Diseases Collaborators}", note = "Acknowledgments S Aljunid acknowledges the International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia and Department of Community Medicine, School of Medicine, International Medical University, Malaysia for the approval and support to participate in this research project. A Cohen was supported by the Health Effects Institute, Boston, MA, USA. D Dereje acknowledges the research team. A Douiri acknowledges support by King's Health Partners / Guy{\^a}s and St Thomas Charity MLTC Challenge Fund (grant number EIC180702) and the NIHR Applied Research Collaboration (ARC) South London at King{\textquoteright}s College Hospital NHS Foundation Trust. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. T Ekundayo thanks the African-German Network of Excellence in Science, the Federal Ministry of Education and Research and the Alexander von Humboldt Foundation for financial support. R Erkhembayar is partially funded by the WHO. A Fatehizadeh acknowledges support from the Department of Environmental Health Engineering of Isfahan University of Medical Sciences, Isfahan, Iran. S Gahre acknowledges the Institute of Applied Health Sciences (IAHS), School of Medicine, Medical Sciences and Nutrition (SMMSN), University of Aberdeen for their institutional support for this work. V K Gupta acknowledges funding support from NHMRC (National Health and Medical Research) Australia. R Hartono thanks IHME who provide the GBD Data. C Herteliu is partially supported by a grant of the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported from Operational Programme Research, Development and Education Project, Postdoc2MUNI(No. CZ.02.2.69/0.0/0.0/18_053/0016952). BF Hwang was partially supported by China Medical University (CMU111-MF-55). M Jakovlievic declares that the serbian part of this GBD contribution was co-funded through Grant OI 175 014 of the Ministry of Education Technological Development and Science of the Republic of Serbia. T Joo acknowledges support from the National Research, Development and Innovation Office in Hungary (RRF-2.3.1-21-2022-00006, Data-Driven Health Division of National Laboratory for Health Security). N Joseph thanks the Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India for encouraging research activities. H Kandel is supported by the Kornhauser Research Fellowship at The University of Sydney. M Khan is the recipient of College of Medicine and Health Sciences research grant, Grant numbers G00003634, G00003569 and UAEU Sustainable Development Goals Grant, Grant number 1976. K Krishan acknowledges Non-financial support from UGC Centre of Advanced Study, CAS II, Department of Anthropology, Panjab University, Chandigarh, India, outside the submitted work. K Latief acknowledges Taipei Medical University. MC Li was supported by the National Science and Technology Council in Taiwan (NSTC 111-2410-H-003-100-SSS). G Liu was supported by a CREATE scientific fellowship from Lung Foundation Australia. T H Malihi would like to acknowledge the support and encouragement from Deanship of Scientific Research at Jouf University, Saudi Arabia to actively Participate in this project. D Malta acknowledges CNPQ - Conselho Nacional de Desenvolvimento Cientifico e Tecnologico. E Mathews is supported by a Clinical and Public Health Early Career Fellowship (grant number IA/CPHE/17/1/503345) from the DBT India Alliance/Wellcome Trust{\^a}€ Department of Biotechnology, India Alliance. AF A Mentis would like to acknowledge Anna Gkika for her continuous moral support during this study. L Monasta was supported by the Italian Ministry of Health, through a contribution given to the Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy. M Moniruzzaman was supported by The University of Queensland Postdoctoral Fellowship. J R Padubidri acknowledges Kasturba Medical College, Mangalore and Manipal Academy of Higher Education, Manipal for their constant support towards collaborative research. P Pedersini declares support and funding by the Italian Ministry of Health - Ricerca Corrente 2022. S Rahmani acknowledges the primary investigator for all their support. M Rodrigues acknowledges support from the Portuguese Council for Health and Environment. K E Rudd is supported by NIH/NIGMS grant 1K23GM141463-02. U Saeed acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad Pakistan. A M Samy acknowledges the support from Ain Shams University and the Egyptian Fulbright Mission Program F Thienemann is supported by the European Union (grant number RIA2017T-2004-StatinTB). X Xu is supported by Scientia Program at the University of New South Wales, Australia. This study was solely funded by the Bill & Melinda Gates Foundation. The funders of the study had no role in study design; collection, analysis, and interpretation of data; or writing of the report. The corresponding author had full access to the data and had responsibility for final submission of the manuscript. Funding Bill & Melinda Gates Foundation", year = "2023", month = may, day = "23", doi = "10.1016/j.eclinm.2023.101936", language = "English", volume = "59", journal = "EClinicalMedicine", issn = "2589-5370", publisher = "Lancet Publishing Group", } . EClinicalMedicine.

Radiomic analysis in contrast-enhanced mammography using a multivendor data set @article{5ff03abb854e4f16b13c1c008948615d, title = "Radiomic analysis in contrast-enhanced mammography using a multivendor data set: accuracy of models according to segmentation techniques", abstract = "OBJECTIVE: Radiomic analysis of contrast-enhanced mammographic (CEM) images is an emerging field. The aims of this study were to build classification models to distinguish benign and malignant lesions using a multivendor data set and compare segmentation techniques. METHODS: CEM images were acquired using Hologic and GE equipment. Textural features were extracted using MaZda analysis software. Lesions were segmented with freehand region of interest (ROI) and ellipsoid_ROI. Benign/Malignant classification models were built using extracted textural features. Subset analysis according to ROI and mammographic view was performed. RESULTS: 269 enhancing mass lesions (238 patients) were included. Oversampling mitigated benign/malignant imbalance. Diagnostic accuracy of all models was high (>0.9). Segmentation with ellipsoid_ROI produced a more accurate model than with FH_ROI, accuracy:0.947 vs 0.914, AUC:0.974 vs 0.86, p < 0.05. Regarding mammographic view all models were highly accurate (0.947-0.955) with no difference in AUC (0.985-0.987). The CC-view model had the greatest specificity:0.962, the MLO-view and CC + MLO view models had higher sensitivity:0.954, p < 0.05. CONCLUSIONS: Accurate radiomics models can be built using a real-life multivendor data set segmentation with ellipsoid-ROI produces the highest level of accuracy. The marginal increase in accuracy using both mammographic views, may not justify the increased workload. ADVANCES IN KNOWLEDGE: Radiomic modelling can be successfully applied to a multivendor CEM data set, ellipsoid_ROI is an accurate segmentation technique and it may be unnecessary to segment both CEM views. These results will help further developments aimed at producing a widely accessible radiomics model for clinical use.", author = "Savaridas, {Sarah L.} and Utkarsh Agrawal and Fagbamigbe, {Adeniyi Francis} and Tennant, {Sarah L.} and Colin McCowan", year = "2023", month = apr, day = "1", doi = "10.1259/bjr.20220980", language = "English", volume = "96", pages = "20220980", journal = "The British journal of radiology", issn = "1748-880X", number = "1145", } . The British journal of radiology.

Adeniyi Francis Fagbamigbe, Clement Kevin Edet, Anthony Ike Wegbom, Kitoye Gentle Samuel, Leesi Sapira-Ordu, Ishmeal Daniel Jaja, Janet Ene-Peter, Isaac Harold, Chinemere Onyema, Biteegeregha Godfrey Pepple (2023). Prevalence and Factors Influencing Self-Medication among Pregnant Women Attending Antenatal Clinics in Urban Tertiary Hospitals in Nigeria . BioMed.

Prevalence of polypharmacy in pregnancy @article{d548cd4daee64f199bc26f5f5ba4212a, title = "Prevalence of polypharmacy in pregnancy: a systematic review", abstract = "Objectives: The use of medications among pregnant women has been rising over the past few decades but the reporting of polypharmacy has been sporadic. The objective of this review is to identify literature reporting the prevalence of polypharmacy among pregnant women, the prevalence of multimorbidity in women taking multiple medications in pregnancy and associated effects on maternal and offspring outcomes. Design: MEDLINE and Embase were searched from their inception to 14 September 2021 for interventional trials, observational studies and systematic reviews reporting on the prevalence of polypharmacy or the use of multiple medications in pregnancy were included. Data on prevalence of polypharmacy, prevalence of multimorbidity, combinations of medications and pregnancy and offspring outcomes were extracted. A descriptive analysis was performed. Results: Fourteen studies met the review criteria. The prevalence of women being prescribed two or more medications during pregnancy ranged from 4.9% (4.3%-5.5%) to 62.4% (61.3%-63.5%), with a median of 22.5%. For the first trimester, prevalence ranged from 4.9% (4.7%-5.14%) to 33.7% (32.2%-35.1%). No study reported on the prevalence of multimorbidity, or associated pregnancy outcomes in women exposed to polypharmacy. Conclusion: There is a significant burden of polypharmacy among pregnant women. There is a need for evidence on the combinations of medications prescribed in pregnancy, how this specifically affects women with multiple long-term conditions and the associated benefits and harms. Tweetable abstract: Our systematic review shows significant burden of polypharmacy in pregnancy but outcomes for women and offspring are unknown.", keywords = "EPIDEMIOLOGY, Maternal medicine, OBSTETRICS", author = "Astha Anand and Katherine Phillips and Anuradhaa Subramanian and Lee, {Siang Ing} and Zhaonan Wang and Rebecca McCowan and Utkarsh Agrawal and Fagbamigbe, {Adeniyi Frances} and Catherine Nelson-Piercy and Peter Brocklehurst and Christine Damase-Michel and Maria Loane and Krishnarajah Nirantharakumar and Amaya Azcoaga-Lorenzo", note = "Funding Information: This work was funded by the Strategic Priority Fund 'Tackling multimorbidity at scale' programme (grant number MR/W014432/1) delivered by the Medical Research Council and the National Institute for Health Research in partnership with the Economic and Social Research Council and in collaboration with the Engineering and Physical Sciences Research Council. ", year = "2023", month = mar, day = "6", doi = "10.1136/bmjopen-2022-067585", language = "English", volume = "13", journal = "BMJ Open", issn = "2044-6055", publisher = "BMJ Publishing Group", number = "3", } . BMJ Open.

Adeniyi Francis Fagbamigbe, Siang Ing Lee, Holly Hope, Dermot O’Reilly, Lisa Kent, Gillian Santorelli, Anuradhaa Subramanian, Ngawai Moss, Amaya Azcoaga-Lorenzo, Catherine Nelson-Piercy, et al. (2023). Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK . BMJ Open.

Adeniyi Francis Fagbamigbe, Oyewole Kazeem Oyedele, Odunayo Joshua Akinyemi, Ayo Stephen Adebowale (2023). Coverage-level and predictors of maternity continuum of care in Nigeria: implications for maternal, newborn and child health programming . BMC Pregnancy and Childbirth.

Adeniyi Francis Fagbamigbe, Anuradhaa Subramanian, Amaya Azcoaga-Lorenzo, Astha Anand, Katherine Phillips, Siang Ing Lee, Neil Cockburn, Christine Damase-Michel, Christopher Yau, Colin McCowan, et al. (2023). Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019 . BMC Medicine.

Adeniyi Francis Fagbamigbe, Anthony Ike Wegbom, Clement Kevin Edet, Amaka Azubuike Ogba, Benjamin Osarolaka Osaro, Agiriye M. Harry, Biteegeregha Godfrey Pepple (2023). Determinants of Depression, Anxiety, and Stress among Pregnant Women Attending Tertiary Hospitals in Urban Centers, Nigeria . Women.

Mensah, G.A., Habtegiorgis Abate, Y., Abbasian, M., Abd-Allah, F., Abdollahi, A., Abdollahi, M., Morad Abdulah, D., Abdullahi, A., Abebe, A.M., Abedi, A., et al.(2023). Global Burden of Cardiovascular Diseases and Risks, 1990-2022 . Journal of the American College of Cardiology. 82. (25). p. 2350-2473.

Adeniyi Francis Fagbamigbe, Siang Ing Lee, Amaya Azcoaga-Lorenzo, Utkarsh Agrawal, Jonathan I. Kennedy, Holly Hope, Anuradhaa Subramanian, Astha Anand, Beck Taylor, Catherine Nelson-Piercy, et al. (2022). Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018: a population-based cross-sectional study . BMC Pregnancy and Childbirth.

Gender differentials in the timing and prognostic factors of pubarche in Nigeria <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . PLOS ONE.

Adeniyi Francis Fagbamigbe, Daniela Raccanello, Roxana Balbontín-Alvarado, Denilson da Silva Bezerra, Roberto Burro, Maria Cheraghi, Beata Dobrowolska, MoezAlIslam Ezzat Faris, Thais França, Belinka González-Fernández, et al.(2022). Higher education students’ achievement emotions and their antecedents in e-learning amid COVID-19 pandemic: A multi-country survey . Learning and Instruction. 80. p. 101629. Elsevier {BV}

Adeniyi Francis Fagbamigbe, Chibuzor Christopher Nnanatu (2022). Modelling the Spatial Distribution and the Factors Associated with Under-Five Mortality in Nigeria . Spatial Demography.

Adeniyi Francis Fagbamigbe, Juma Joseph, Alfred Owino Odongo, Dominic Mogere, John Kariuki (2022). Evaluation of the awareness and utilization of oral rehydration salt and zinc in managing diarrhoea among under-five children in Oyo State, Nigeria . International Journal Of Community Medicine And Public Health.

Adeniyi Francis Fagbamigbe, Joseph Juma, John Kariuki (2022). Barriers to utilisation of oral rehydration solution and zinc in managing diarrhoea among under-5 children in Oyo State, Nigeria . BMJ Paediatrics Open.

Adeniyi Francis Fagbamigbe, Oyewole Kazeem Oyedele (2022). Multivariate decomposition of trends, inequalities and predictors of skilled birth attendants utilisation in Nigeria (1990–2018): a cross-sectional analysis of change drivers . BMJ Open.

David Fraile-Navarro, Amaya Azcoaga-Lorenzo, Utkarsh Agrawal, Bhautesh Jani, Adeniyi Fagbamigbe, Dorothy Currie, Alexander Baldacchino, Frank Sullivan(2022). Development of an algorithm to classify primary care electronic health records of alcohol consumption: experience using data linkage from UK Biobank and primary care electronic health data sources . BMJ Open. 12. (2). p. e054376. {BMJ}

Adeniyi Francis Fagbamigbe, Olukemi Grace Adebola, Natisha Dukhi, Omon Stellamaris Fagbamigbe, Olalekan A. Uthman (2021). Exploring the socio-economic determinants of educational inequalities in diarrhoea among under-five children in low- and middle-income countries: a Fairlie decomposition analysis . Archives of Public Health.

A comparative analysis of the influence of contraceptive use and fertility desire on the duration of second birth interval in four sub-Saharan African countries @article{2021, doi = {10.1186/s12905-021-01486-z}, url = {https://doi.org/10.1186%2Fs12905-021-01486-z}, year = 2021, month = {oct}, publisher = {Springer Science and Business Media {LLC}}, volume = {21}, number = {1}, author = {Rotimi Felix Afolabi and Adeniyi Francis Fagbamigbe and Martin Enock Palamuleni}, title = {A comparative analysis of the influence of contraceptive use and fertility desire on the duration of second birth interval in four sub-Saharan African countries}} . BMC Women's Health.

A. F. Fagbamigbe, F. F. Oyinlola, O. M. Morakinyo, A. S. Adebowale, O. S. Fagbamigbe, A. O. Uthman(2021). Mind the gap: what explains the rural-nonrural inequality in diarrhoea among under-five children in low and medium-income countries? A decomposition analysis . BMC Public Health. 21. (1). Springer Science and Business Media {LLC}

Adeniyi Francis Fagbamigbe, Olugbenga Olaseinde, Vincent Setlhare (2021). Sub-national analysis and determinants of numbers of antenatal care contacts in Nigeria: assessing the compliance with the WHO recommended standard guidelines . BMC Pregnancy and Childbirth.

Adeniyi Francis Fagbamigbe, Segun Bello, Mobolaji M Salawu, Rotimi F Afolabi, Babatunde M Gbadebo, Ayo S Adebowale (2021). Trend and decomposition analysis of risk factors of childbirths with no one present in Nigeria, 1990–2018 . BMJ Open.

Prevalence of multimorbidity of cardiometabolic conditions and associated risk factors in a population-based sample of South Africans: A cross-sectional study @article{2021, doi = {10.1016/j.puhip.2021.100193}, url = {https://doi.org/10.1016%2Fj.puhip.2021.100193}, year = 2021, month = {nov}, publisher = {Elsevier {BV}}, volume = {2}, pages = {100193}, author = {Ronel Sewpaul and Anthony David Mbewu and Adeniyi Francis Fagbamigbe and Ngianga-Bakwin Kandala and Sasiragha Priscilla Reddy}, title = {Prevalence of multimorbidity of cardiometabolic conditions and associated risk factors in a population-based sample of South Africans: A cross-sectional study}} . Public Health in Practice.

Adeniyi Francis Fagbamigbe, Damijana Keržič, Dejan Dragan, Jogymol Kalariparampil Alex, Roxana Pamela Balbontín Alvarado, Denilson da Silva Bezerra, Maria Cheraghi, Beata Dobrowolska, MoezAlIslam Ezzat Faris, Thais França, et al. (2021). Academic student satisfaction and perceived performance in the e-learning environment during the COVID-19 pandemic: Evidence across ten countries . PLOS ONE.

Abraham E, Gray C, Fagbamigbe A et al. Barriers and facilitators to health insurance enrolment among people working in the informal sector in Morogoro, Tanzania [version 1; peer review: awaiting peer review] AAS Open Res 2021, 4:45 (https://doi.org/10.12688/aasopenres.13289.1) .

Elisante Abraham, Cindy Gray, Adeniyi F. Fagbamigbe, Fabrizio Tediosi, Brianna Otesinky, Joke Haafkens, Grace Mhalu, Sally Mtenga (2021). Barriers and facilitators to health insurance enrolment among people working in the informal sector in Morogoro, Tanzania . Open Research Africa.

Timing of first antenatal care contact, its associated factors and state-level analysis in Nigeria: a cross-sectional assessment of compliance with the WHO guidelines @article{2021, doi = {10.1136/bmjopen-2020-047835}, url = {https://doi.org/10.1136%2Fbmjopen-2020-047835}, year = 2021, month = {sep}, publisher = {{BMJ}}, volume = {11}, number = {9}, pages = {e047835}, author = {Adeniyi Francis Fagbamigbe and Olugbenga Olaseinde and Omon Stellamaris Fagbamigbe}, title = {Timing of first antenatal care contact, its associated factors and state-level analysis in Nigeria: a cross-sectional assessment of compliance with the {WHO} guidelines}} . BMJ Open.

COVID-19 hospital admissions and deaths after BNT162b2 and ChAdOx1 nCoV-19 vaccinations in 2·57 million people in Scotland (EAVE II): a prospective cohort study @article{2021, doi = {10.1016/s2213-2600(21)00380-5}, url = {https://doi.org/10.1016%2Fs2213-2600%2821%2900380-5}, year = 2021, month = {sep}, publisher = {Elsevier {BV}}, author = {Utkarsh Agrawal and Srinivasa Vittal Katikireddi and Colin McCowan and Rachel H Mulholland and Amaya Azcoaga-Lorenzo and Sarah Amele and Adeniyi Francis Fagbamigbe and Eleftheria Vasileiou and Zoe Grange and Ting Shi and Steven Kerr and Emily Moore and Josephine L K Murray and Syed Ahmar Shah and Lewis Ritchie and Dermot O{\textquotesingle}Reilly and Sarah J Stock and Jillian Beggs and Antony Chuter and Fatemah Torabi and Ashley Akbari and Stuart Bedston and Jim McMenamin and Rachael Wood and Ruby S M Tang and Simon de Lusignan and F D Richard Hobbs and Mark Woolhouse and Colin R Simpson and Chris Robertson and Aziz Sheikh}, title = {{COVID}-19 hospital admissions and deaths after {BNT}162b2 and {ChAdOx}1 {nCoV}-19 vaccinations in 2$\cdotp$57 million people in Scotland ({EAVE} {II}): a prospective cohort study}} . The Lancet Respiratory Medicine.

Adeniyi Francis Fagbamigbe, Olugbenga Olaseinde, Omon Stellamaris Fagbamigbe (2021). Timing of first antenatal care contact, its associated factors and state-level analysis in Nigeria: a cross-sectional assessment of compliance with the WHO guidelines . BMJ Open.

The dynamics of COVID-19 outbreak in Nigeria: A sub-national analysis @article{2021, doi = {10.1016/j.sciaf.2021.e00914}, url = {https://doi.org/10.1016%2Fj.sciaf.2021.e00914}, year = 2021, month = {sep}, publisher = {Elsevier {BV}}, volume = {13}, pages = {e00914}, author = {Kayode P. Ayodele and Hafeez Jimoh and Adeniyi F. Fagbamigbe and Oluwatoyin H. Onakpoya}, title = {The dynamics of {COVID}-19 outbreak in Nigeria: A sub-national analysis}} . Scientific African.

Adeniyi Francis Fagbamigbe, Rotimi Felix Afolabi, Mobolaji M. Salawu, Babatunde Makinde Gbadebo, Adetokunbo T. Salawu, Ayo Stephen Adebowale (2021). Ethnicity as a cultural factor influencing complete vaccination among children aged 12-23 months in Nigeria . Human Vaccines & Immunotherapeutics.

Approximation of the Cox survival regression model by MCMC Bayesian Hierarchical Poisson modelling of factors associated with childhood mortality in Nigeria <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Scientific Reports.

Adeniyi Francis Fagbamigbe, Y Zhan, Emma Norrman, Christina Bergh, Ulla-Britt Wennerholm, Max Petzold (2021). Comparison of the performances of survival analysis regression models for analysis of conception modes and risk of type-1 diabetes among 1985–2015 Swedish birth cohort . PLOS ONE.

Adeniyi Francis Fagbamigbe, Susan A. Bartels, Imran Oludare Morhason-Bello, Yusuf Olushola Kareem, Erhabor Sunday Idemudia (2021). Hierarchical modelling of factors associated with the practice and perpetuation of female genital mutilation in the next generation of women in Africa . PLOS ONE.

(2021). Hierarchical disentanglement of contextual from compositional risk factors of diarrhoea among under-five children in low- and middle-income countries . Scientific reports.

A.F. Fagbamigbe, O.P. Ologunwa, E.K. Afolabi, O.S. Fagbamigbe, A.O. Uthman(2021). Decomposition analysis of the compositional and contextual factors associated with poor-non-poor inequality in diarrhoea among under-five children in low- and middle-income countries . Public Health. 193. p. 83--93. Elsevier {BV}

A.F. Fagbamigbe (2021). How soon does modern contraceptive use starts after sexual debut in Africa? Survival analysis of timing and associated factors among Never-In-Union Women . Scientific African.

Adeniyi Francis Fagbamigbe, Feng Chen, Karolina Karlsson, Jan Derks, Max Petzold (2021). Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty . PLOS ONE.

Adeniyi Francis Fagbamigbe, Rachana Desai, Ronel Sewpaul, Ngianga-Bakwin Kandala, Derrick Sekgala, Priscilla Reddy (2020). Age at the onset of tobacco smoking in South Africa: a discrete-time survival analysis of the prognostic factors . Archives of Public Health.

A. F. Fagbamigbe, N. B. Kandala, O. A. Uthman(2020). Decomposing the educational inequalities in the factors associated with severe acute malnutrition among under-five children in low- and middle-income countries . BMC Public Health. 20. (1). Springer Science and Business Media {LLC}

Mary Y. Kodaolu, Adeniyi F. Fagbamigbe, IkeOluwapo O. Ajayi(2020). Stocking pattern for anti-malarial medications among proprietary patent medicine vendors in Akinyele Local Government Area, Ibadan, Nigeria . Malaria Journal. 19. (1). Springer Science and Business Media {LLC}

Adeniyi Francis Fagbamigbe and Ngianga-Bakwin Kandala and Olalekan A. Uthman(2020). Mind the gap: What explains the poor-non-poor inequalities in severe wasting among under-five children in low- and middle-income countries? Compositional and structural characteristics . PLOS ONE. 15. (11). p. e0241416. Public Library of Science ({PLoS})

Aloui-Zarrouk Z, El Youssfi L, Badu K et al. The wearing of face masks in African countries under the COVID-19 crisis: luxury or necessity? [version 1; peer review: 1 approved, 1 approved with reservations] AAS Open Res 2020, 3:36 (https://doi.org/10.12688/aasopenres.13079.1) .

Adeniyi Francis Fagbamigbe, Zohra Aloui-Zarrouk, Lahcen El Youssfi, Kingsley Badu, Damaris Matoke-Muhia, Caroline Ngugi, Natisha Dukhi, Grace Mwaura(2020). The wearing of face masks in African countries under the COVID-19 crisis: luxury or necessity? . AAS Open Research. 3. p. 36. F1000 Research Ltd

Broderick O. Oluyede, B. Mashabe, A. Fagbamigbe, B. Makubate, D. Wanduku(2020). The exponentiated generalized power series . Heliyon. 6. (8). p. e04653. Elsevier {BV}

(2020). Demystifying the factors associated with rural-urban gaps in severe acute malnutrition among under-five children in low- and middle-income countries: a decomposition analysis . Scientific reports.

(2020). Severe acute malnutrition among under-5 children in low- and middle-income countries: A hierarchical analysis of associated risk factors . Nutrition.

Badu K, Thorn JPR, Goonoo N et al. Africa’s response to the COVID-19 pandemic: A review of the nature of the virus, impacts and implications for preparedness [version 1; peer review: 2 approved with reservations] AAS Open Res 2020, 3:19 (https://doi.org/10.12688/aasopenres.13060.1) .

Adeniyi Francis Fagbamigbe, Kingsley Badu, Jessica P.R. Thorn, Nowsheen Goonoo, Natisha Dukhi, Benard W. Kulohoma, Kolapo Oyebola, Sara I. Abdelsalam, Wesley Doorsamy, Olawale Awe, et al.(2020). Africa’s response to the COVID-19 pandemic: A review of the nature of the virus, impacts and implications for preparedness . AAS Open Research. 3. p. 19. F1000 Research Ltd

(2020). Association between Knowledge of Sexually Transmitted Infections and Sources of the Previous Point of Care among Nigerians: Findings from Three National HIV and AIDS Reproductive Health Surveys . International Journal of Reproductive Medicine.

Adeniyi Francis Fagbamigbe, Ayo Stephen Adebowale, IkeOluwapo Ajayi(2019). An assessment of the nutritional status of ART receiving HIV-orphaned and vulnerable children in South-West Nigeria . Heliyon. 5. (12). p. e02925. Elsevier {BV}

Adeniyi Francis Fagbamigbe(2019). On the discriminatory and predictive accuracy of the RDT against the microscopy in the diagnosis of malaria among under-five children in Nigeria . Malaria Journal. 18. (1). Springer Science and Business Media {LLC}

Adeniyi Francis Fagbamigbe, Clearance Abel, Baitshephi Mashabe, Ayo Stephen Adebowale(2019). Survival analysis and prognostic factors of the timing of first antenatal care visit in Nigeria . Advances in Integrative Medicine. 6. (3). p. 110--119. Elsevier {BV}

Adeniyi Francis Fagbamigbe, Rotimi F. Afolabi, Oyindamola B. Yusuf (2019). Trend analysis of teenage pregnancy in Nigeria (1961-2013): how effective is the contraceptive use campaign . International Journal of Public Health Science (IJPHS).

P. Mdlongwa, B.O. Oluyede, A.K.A. Amey, A.F. Fagbamigbe, B. Makubate(2019). Kumaraswamy log-logistic Weibull distribution: model, theory and application to lifetime and survival data . Heliyon. 5. (1). p. e01144. Elsevier {BV}

(2018). The Ristić and Balakrishnan Lindley-Poisson Distribution:Model, Theory and Application .

Oyewale M. Morakinyo, Folusho M. Balogun, Adeniyi F. Fagbamigbe(2018). Housing type and risk of malaria among under-five children in Nigeria: evidence from the malaria indicator survey . Malaria Journal. 17. (1). Springer Nature

Broderick Oluyede, Boikanyo Makubate, Adeniyi Fagbamigbe, Precious Mdlongwa (2018). A New Burr XII-Weibull-Logarithmic Distribution for Survival and Lifetime Data Analysis: Model, Theory and Applications . Stats.

(2018). A New Burr XII-Weibull-Logarithmic Distribution for Survival and Lifetime Data Analysis: Model, Theory and Applications . Stats.

Adeniyi Francis Fagbamigbe, Rotimi Felix Afolabi, Erhabor Sunday Idemudia (2018). Demand and Unmet Needs of Contraception Among Sexually Active In-Union Women in Nigeria: Distribution, Associated Characteristics, Barriers, and Program Implications . Sage Open.

Fagbamigbe, A.F., Afolabi, R.F., Idemudia, E.S.(2018). Demand and Unmet Needs of Contraception Among Sexually Active In-Union Women in Nigeria: Distribution, Associated Characteristics, Barriers, and Program Implications . SAGE Open. 8. (1).

Akinyemi, A.I., Fagbamigbe, A.F., Omoluabi, E., Agunbiade, O.M., Adebayo, S.O.(2018). Diarrhoea management practices and child health outcomes in Nigeria: Sub-national analysis . Advances in Integrative Medicine. 5. (1). p. 15-22.

Fagbamigbe, A.F., Awoyelu, I.E., Akinwale, O.L., Akinwande, T.Y., Enitilo, B.K., Bankole, O.(2018). Factors contributing to the duration of postpartum abstinence among Nigerian women: semi-parametric survival analysis . Heliyon. 4. (12).

Fagbamigbe, A.F., Obiyan, M.O., Fawole, O.I.(2018). Parametric survival analysis of menarche onset timing among Nigerian girls . Heliyon. 4. (12).

Gil-Alana, L.A., Yaya, O.O.S., Fagbamigbe, A.F.(2018). Time series analysis of quarterly rainfall and temperature (1900–2012) in sub-Saharan African countries . Theoretical and Applied Climatology.

Morakinyo, O.M., Balogun, F.M., Fagbamigbe, A.F.(2018). Housing type and risk of malaria among under-five children in Nigeria: Evidence from the malaria indicator survey . Malaria Journal. 17. (1).

Adeniyi Francis Fagbamigbe, Adesola Victor Makanjuola (2017). Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach . Neuropsychiatric Disease and Treatment.

A. F. Fagbamigbe, A. M. Lawal, E. S. Idemudia(2017). Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country . SAHARA-J: Journal of Social Aspects of HIV/AIDS. 14. (1). p. 140--152. Informa {UK} Limited

Fagbamigbe, A.F., Lawal, A.M., Idemudia, E.S.(2017). Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country . Sahara J. 14. (1). p. 140-152.

Morakinyo, O.M., Fagbamigbe, A.F.(2017). Neonatal, infant and under-five mortalities in Nigeria: An examination of trends and drivers (2003-2013) . PloS one. 12. (8). p. e0182990.

Okwor, V.C., Fagbamigbe, A.F., Fawole, O.I.(2017). Survivorship of patients with head and neck cancer receiving care in a tertiary health facility in Nigeria . Cancer Management and Research. 9. p. 331-338.

Foya, S., Oluyede, B.O., Fagbamigbe, A.F., Makubate, B.(2017). The gamma log-logistic Weibull distribution: Model, properties and application . Electronic Journal of Applied Statistical Analysis. 10. (1). p. 206-241.

Fagbamigbe, A.F., Hurricane-Ike, E.O., Yusuf, O.B., Idemudia, E.S.(2017). Trends and drivers of skilled birth attendant use in Nigeria (1990-2013): Policy implications for child and maternal health . International Journal of Women's Health. 9. p. 843-853.

Fagbamigbe, A.F., Idemudia, E.S.(2017). Wealth and antenatal care utilization in Nigeria: Policy implications . Health Care for Women International. 38. (1). p. 17-37.

Fagbamigbe, A.F., Makanjuola, V.A.(2017). Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: A survival analysis approach . Neuropsychiatric Disease and Treatment. 13. p. 1967-1974.

Oluyede, B.O. and Huang, S. and Mashabe, B. and Fagbamigbe, A.F.(2017). A New Class of Distributions for Survival and Lifetime Data Analysis : Theory and Applications. J of Prob and Statistical Sc. 15. (2). p. 153--187.

Fagbamigbe, A. F. and Adebowale, SA and Bamgboye, EA(2017). A Survival Analysis Model for Measuring Association between Bivariate Censored Outcomes: Validation Using Mathematical Simulation . American Journal of Mathematics and Statistics. 7. (1). p. 7--14.

Fagbamigbe, A. F. and Morakinyo, O. M. and Abatta, E.(2017). Analysis of Regional Variations in Influence of Household and Environmental Characteristics on Prevalence of Diarrhoea among Under-Five Children in Nigeria. Ann Med Health Sci Res. 7. (119-130). p. 119--130.

Akinyemi, J. O. and Yusuf, B. O and Fagbamigbe, A. F. and Bamgboye, E. A. and Issa, B. K and Ngige, E. and Amida, P and Bashorun, A(2017). Derivation and appraisal of maternal mortality estimats in Nigeria from the 2012 National HIV/AIDS and Reproductive Health Survey. Afr Journal of Medicine and Medical sciences. 46. (1). p. 159--166.

Fagbamigbe, A.F., Mashabe, B., Lepetu, L., Abel, C.(2017). Are the timings and risk factors changing? Survival analysis of timing of first antenatal care visit among pregnant women in Nigeria (2003-2013) . International Journal of Women's Health. 9. p. 807-819.

Shodimu, M. A. and Yusuf, O. B. and Akinyemi, J. O. and Fagbamigbe, A. F. and Bamgboye, E. A. and Ngige, E and Issa, K and Abatta, E and Amida, P and Bashorun, A(2017). Determinants of perceived stigmatizing and discriminating attitudes towards people living with HIV / AIDS among women of reproductive age in Nigeria . Journal of AIDS and HIV Research. 9. (6). p. 139--151.

Fagbamigbe, A. F. and Idemudia, E. S.(2017). Diversities in timing of sexual debut among Nigerian youths aged 15-24 years : parametric and non-parametric survival analysis approach . African Health Sciences. 17. (1). p. 39--51.

Fagbamigbe, A.F., Idemudia, E.(2017). Diversities in timing of sexual debut among Nigerian youths aged 15-24 years: Parametric and non-parametric survival analysis approach . African Health Sciences. 17. (1). p. 39-51.

Obiyan, M. O. and Fagbamigbe, A. F. and Adetutu, O. M. and Oyinlola, F. F.(2017). Fertility, labour force participation and poverty among married women in Nigeria . African Population Studies. 31. (1). p. 3408--20.

Fagbamigbe, A. F. and Ojebuyi, B. R.(2017). Influence of Spousal Communication about Family Planning and HIV/AIDS-related Issues on Modern Contraceptive Use in Nigeria . Journal of Health Management. 19. (2). p. 1--14.

Fagbamigbe, A.F., Ojebuyi, B.R.(2017). Influence of Spousal Communication about Family Planning and HIV/AIDS-related Issues on Modern Contraceptive Use in Nigeria . Journal of Health Management. 19. (2). p. 320-333.

Alo, Oluwafemi D and Akinyemi, Joshua O and Akpa, Matthew O and Yusuf, Oyindamola B and Fagbamigbe, A. F. and Bamgboye, Elijah A and Adebayo, Samson B and Kawu, Issa and Agbi, Perpetual and Ezire, Onoriode(2017). Level and determinants of pharmacovigilance programme awareness in Nigeria : A multilevel analysis . African Journal of Pharmacy and Pharmacology. 11. (29). p. 342--348.

Fagbamigbe, A F and Lawal, A M and Idemudia, E S(2017). Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country . SAHARA-J: Journal of Social Aspects of HIV/AIDS. 14. (1). p. 140--152.

Morhason-Bello, I.O., Fagbamigbe, A.F., Mumuni, T.O., Adesina, O.A., Abdus-Salam, A.R., Ifemeje, A., Ojengbede, O.A.(2016). Evaluation of correct knowledge of key danger signs in pregnancy among antenatal clinic attendees at a tertiary health facility in Nigeria . Nigerian Journal of Clinical Practice. 19. (2). p. 227-232.

Eze, Peter N and Mosokomani, Valiant S and Udeigwe, Theophilus K and Oyedele, Opeoluwa F and Fagbamigbe, A. F.(2016). Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana . Data in Brief. 9. p. 764--770. Elsevier

Eze, P.N., Mosokomani, V.S., Udeigwe, T.K., Oyedele, O.F., Fagbamigbe, A.F.(2016). Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana . Data in Brief. 9. p. 764-770.

Fagbamigbe, A. F. and Adebayo, S. B. and Idemudia, E. S.(2016). Marital status and HIV prevalence among women in Nigeria: Ingredients for evidence-based programming . International Journal of Infectious Diseases. 48. p. 57--63. Elsevier

Fagbamigbe, A.F., Adebayo, S.B., Idemudia, E.(2016). Marital status and HIV prevalence among women in Nigeria: Ingredients for evidence-based programming . International Journal of Infectious Diseases. 48. p. 57-63.

Adebowale, A. S. and Fagbamigbe, A. F. and Adebayo, A. M.(2016). Regional Differences in Adolescent Childbearing in Nigeria . Journal of Population and Social Studies. 24. (2). p. 101--116.

Fagbamigbe, A. F. and Idemudia, E. S.(2016). Survival analysis and determinants of timing of first birth after marriage in Nigeria . Afr Popul Stud. 30. (2). p. 2444--57.

Fagbamigbe, A. F. and Idemudia, E. S.(2016). Survival analysis and prognostic factors of timing of first childbirth among women in Nigeria . BMC Pregnancy and Childbirth. 16. (102). p. 1--12. BMC Pregnancy and Childbirth

Fagbamigbe, A.F., Idemudia, E.S.(2016). Survival analysis and prognostic factors of timing of first childbirth among women in Nigeria . BMC Pregnancy and Childbirth. 16. (1).

Fagbamigbe, A. F. and Idemudia, E. S.(2016). Wealth and antenatal care utilization in Nigeria: Policy implications . Health Care for Women International. 38. (1). p. 17--37. Taylor {\&} Francis

Adeniyi Francis Fagbamigbe, Ayo Stephen Adebowale, ImranOludare Morhason-Bello (2015). Survival analysis of time to uptake of modern contraceptives among sexually active women of reproductive age in Nigeria . BMJ Open.

Fagbamigbe, A.F., Adebowale, A.S., Morhason-Bello, I.(2015). Survival analysis of time to uptake of modern contraceptives among sexually active women of reproductive age in Nigeria . BMJ Open. 5. (12).

Ezire, O. and Okekearu, I and Fagbamigbe, A. F. and Faweya, O(2015). Analysis of Health Facility Based Barriers and Facilitators to use of Sexual and Reproductive Health Care Services among Most at Risk Populations (MARPS): Evidence from a Mystery Client Survey in Nigeria . Journal of Tropical Diseases and Public Health. 3. (4). p. 1--5.

Fagbamigbe, A. F. and Idemudia, E. S.(2015). Assessment of quality of antenatal care services in Nigeria : evidence from a population-based survey . Reproductive Health. 12. (8). p. 1--9. Reproductive Health

Fagbamigbe, A.F., Idemudia, E.S.(2015). Assessment of quality of antenatal care services in Nigeria: Evidence from a population-based survey . Reproductive Health. 12. (1).

Fagbamigbe, A.F., Idemudia, E.S.(2015). Barriers to antenatal care use in Nigeria: Evidences from non-users and implications for maternal health programming . BMC Pregnancy and Childbirth. 15. (1).

Fagbamigbe, A. F. and Idemudia, E. S.(2015). Does Gender and Age at Sexual Initiation affect Modern Contraceptive Use among Teenagers and Young adults in Nigeria?. Gender and Behaviour. 13. (2). p. 6710--9.

Fagbamigbe, A.F., Bamgboye, E.A., Yusuf, B.O., Akinyemi, J.O., Issa, B.K., Ngige, E., Amida, P., Bashorun, A., Abatta, E.(2015). The Nigeria wealth distribution and health seeking behaviour: evidence from the 2012 national HIV/AIDS and reproductive health survey . Health Economics Review. 5. (1). p. 1-10.

Olatoregun, O., Fagbamigbe, A.F., Akinyemi, O.J., Yusuf, O.B., Bamgboye, E.A.(2014). A comparative analysis of fertility differentials in Ghana and Nigeria . African journal of reproductive health. 18. (3). p. 36-47.

Fagbamigbe, A.F., Adebowale, A.S.(2014). Current and predicted fertility using Poisson regression model: evidence from 2008 Nigerian Demographic Health Survey . African journal of reproductive health. 18. (1). p. 71-83.

Fagbamigbe, A. F. and Olalere, A(2014). Differentials and Correlates of Infants Mortality in Nigeria : A Comparative Survival Analysis between North East and South West Nigeria. International Journal of TROPICAL DISEASE & Health. 4. (8). p. 869--886.

Ogboi, Johnbull S and Agu, Polycarp U and Fagbamigbe, A. F. and Audu, Onyemocho and Akubue, Augustine and Obianwu, Ifeyinwa(2014). Misdiagnosis of malaria using wrong buffer substitutes for rapid diagnostic tests in poor resource setting in Enugu , southeast Nigeria. Malaria World Journal. 5. (6). p. 4--9.

Ogboi, Sonny Johnbull and Uche, Agu P and Kesiena, Akpoigbe J and Fagbamigbe, A. F. and Oyemocho, Audu and Im, Obianwu and Akabueze, J(2014). Prevalence and Risk Factors of Malaria in HIV-Infected Pregnant Women . AIDS and clinical research. 5. (7).

Adebowale, Stephen A and Fagbamigbe, A. F. and Bamgboye, Elijah Afolabi(2014). Re-analysis of Nigerian 2006 Census Age Distribution using Growth Rate and Mortality Level. Southern African Journal of Demography. 15. (1). p. 81--99.

Fatiregun, A.A., Adebowale, A.S., Fagbamigbe, A.F.(2014). Epidemiology of measles in Southwest Nigeria: An analysis of measles case-based surveillance data from 2007 to 2012 . Transactions of the Royal Society of Tropical Medicine and Hygiene. 108. (3). p. 133-140.

Fagbamigbe, A. F. and {Akanbiemu F A} and {Adebowale A S} and {Olumide A M} and Korter, G(2013). Practice, Knowledge and Perceptions of Antenatal Care Services among Pregnant Women and Nursing Mothers in Southwest Nigeria . International Journal of Maternal and Child Health. 1. (1). p. 7--16.

Adebowale, A.S., Titiloye, M., Fagbamigbe, A.F., Akinyemi, O.J.(2013). Statistical modeling of social risk factors for sexually transmitted diseases among female youths in Nigeria . Journal of Infection in Developing Countries. 7. (1). p. 17-27.

Fatiregun, Akinola Ayoola and Adebowale, Ayo Stephen and Ayoka, Rita Ogechi and Fagbamigbe, A. F.(2013). Assessing full immunisation coverage using lot quality assurance sampling in urban and rural districts of southwest Nigeria . Trans R Soc Trop Med Hyg. p. 1--10.

Fatiregun, A.A., Adebowale, A.S., Ayoka, R.O., Fagbamigbe, A.F.(2013). Assessing full immunisation coverage using lot quality assurance sampling in urban and rural districts of southwest Nigeria . Transactions of the Royal Society of Tropical Medicine and Hygiene. 107. (11). p. 731-740.

Akanbiemu, A. F. and Olumide, M. A and Fagbamigbe, A. F. and Adebowale, A. S.(2013). Effect of Perception and Free Maternal Health Services on Antenatal Care Facilities Utilization in Selected Rural and Semi-Urban Communities of Ondo State , Nigeria. British Journal of Medicine & Medical Research. 3. (3). p. 681--697.

Fatiregun, Akinola A and Adebowale, Ayodeji S and Fagbamigbe, A. F.(2013). Epidemiology of measles in Southwest Nigeria : an analysis of measles case-based surveillance data from 2007 to 2012 . Trans R Soc Trop Med Hyg. p. 1--8.

Adebowale, S.A. and Fagbamigbe, A. F. and Bello, S(2012). Refined age Distribution and Demographic parameters Estimation in Nigeria: An Indirect approach. Journal of Statistics and Management Sciences. 15. (1). p. 29--48.

Adebowale, S.A., Fagbamigbe, F.A., Okareh, T.O., Lawal, G.O.(2012). Survival analysis of timing of first marriage among women of reproductive age in Nigeria: regional differences . African journal of reproductive health. 16. (4). p. 95-107.

Adebowale, A.S., Yusuf, B.O., Fagbamigbe, A.F.(2012). Survival probability and predictors for woman experience childhood death in Nigeria: Analysis of north-south differentials . BMC Public Health. 12. (1).

Abiona, TO and Adebowale, SA and Fagbamigbe, A. F.(2012). Time Series Analysis of Admission in the Accident and Emergency Unit of University College Hospital, Ibadan, Southwestern Nigeria. American Journal of Computational and Applied Mathematics. 2. (1). p. 1--9.

Adebowale, S. A. and Adepoju, O.T. and Fagbamigbe, A. F.(2011). Child Spacing and Parity Progression: Implication for Maternal Nutritional Status among Women in Ekiti Communities, Southwestern Nigeria . Pakistan Journal of Nutrition. 10. (5). p. 485--491.

Adebowale, S.A., Adepoju, O.T., Fagbamigbe, F.A.(2011). Child spacing and parity progression: Implication for maternal nutritional status among women in Ekiti communities, Southwestern Nigeria . Pakistan Journal of Nutrition. 10. (5). p. 485-491.

Fagbamigbe, A. F. and Adebowale, A S and Olaniyan, F A(2011). A Comparative Analysis of Condom Use Among Unmarried Youths in Rural Community in Nigeria . Journal of Public Health Research. 1. (1). p. 8--16.

Adebowale, S.A., Fagbamigbe, F.A., Bamgboye, E.A.(2011). Contraceptive use: implication for completed fertility, parity progression and maternal nutritional status in Nigeria . African journal of reproductive health. 15. (4). p. 60-67.

Fagbamigbe, A.F., Akinyemi, J.O., Adedokun, B.O., Bamgboye, E.A.(2011). Gender variation in self-reported likelihood of HIV infection in comparison with HIV test results in rural and urban Nigeria . AIDS Research and Therapy. 8.

Apau, G.S., Fagbamigbe, A.F., Adebowale, S.A., Bamgboye, E.A.(2011). Modelling morbidity related absenteeism among workers in University of Ibadan community, Nigeria: Poisson regression . International Journal of Physical Sciences. 6. (18). p. 4458-4465.

Adebowale, S.A., Adepoju, O.T., Okareh, O.T., Fagbamigbe, F.A.(2011). Social epidemiology of adverse nutritional status outcomes among women in Nigeria: NDHS, 2008 . Pakistan Journal of Nutrition. 10. (9). p. 888-898.

Fagbamigbe, A. F. and Adebowale, A. S.(2010). A model for measuring association between bivariate censored outcomes. Journal of Modern Mathematics and Statistics. 4. (4). p. 127 --136.

Yusuf, O B and Adebowale, A S and Fagbamigbe, A. F. and Bamgboye, E A and Oyediran, A B O O(2010). Profile of academic and senior non-teaching staff in a Nigerian university. International Journal of Educational Administration and Policy Studies. 2. (7). p. 92--98.

WORKING PAPER

Identifying Long Covid Using Electronic Health Records @techreport{5f82e52a0f154e29a18bfe024dd5b252, title = "Identifying Long Covid Using Electronic Health Records: A National Observational Cohort Study in Scotland ", abstract = "Background: Long COVID is a debilitating multisystem condition. To estimate prevalence and identify risk factors, we analysed routinely collected data from almost the entire adult population of Scotland.Methods: A cohort of adults (≥18 years) resident in Scotland between March 1, 2020, and October 20, 2022, was created by linking data from primary care, secondary care, laboratory testing and prescribing. Four outcome measures were used to identify long COVID: clinical codes, free text in primary care records, free text on sick notes, and a novel operational definition. The latter was developed using Poisson regression to identify clinical encounters indicative of long COVID from a sample of negative and positive COVID-19 cases matched on time-varying propensity to test positive for SARS-CoV-2.Findings: Of 5,104,198 participants, 90,712 (1·8%) were identified as having long COVID by one or more outcome measures. Clinical codes were rarely recorded (n=1,092, 0·02%). More people were identified using free text (n= 8,368, 0·2%), sick notes (n=14,471, 0·3%) and the operational definition (n=73,767, 1·4%). Compared with the general population, a higher proportion of people with long COVID were female, middle-aged, overweight/obese, had at least two comorbidities, were immunosuppressed, shielding, or hospitalised within 28 days of testing positive, and had tested positive before Omicron became the dominant variant.Interpretation: The prevalence of long COVID presenting in general practice was estimated to be 0·02 - 1·8%, depending on the measure used. Of the four outcome measures used, clinical codes identified the fewest cases. With limited use of long COVID clinical codes, we consider free text analysis to be the most promising approach should future surveillance of long COVID at a national level be required.Funding: Chief Scientist Office (Scotland) and Medical Research Council.Declaration of Interest: AS reports grants from HDRUK, grants from NIHR, grants from MRC, grants from ICSF, during the conduct of the study; and Member of Scottish Government's CMO COVID-19 Advisory Group and Standing Committee on Pandemics. CR reports support from PHS and MRC. CS reports grants from MBIE (New Zealand), Ministry of Health (New Zealand), and HRC (New Zealand). JKQ reports grants from MRC, HDR UK, GlaxoSmithKline, BI, Asthma+Lung UK, and AstraZeneca and consulting fees from GlaxoSmithKline, Evidera, AstraZeneca, Insmed. All other authors declare no competing interests.Ethical Approval: The EAVE II study obtained approvals from the West of Scotland Research Ethics Committee (reference: 22/WS/0071), and the Public Benefit and Privacy Panel for Health and Social Care (reference: 1920-0279).", keywords = "Long COVID, population surveillance, primary health care, clinical coding, matched-pair analysis", author = "Karen Jeffrey and Lana Woolford and Rishma Maini and Siddharth Basetti and Ashleigh Batchelor and David Weatherill and Chris White and Vicky Hammersley and Tristan Millington and Calum Macdonald and Quint, {Jennifer K} and Robin Kerr and Steven Kerr and Shah, {Syed Ahmar} and Adeniyi Fagbamigbe and Simpson Colin and Katikireddi, {Srinivasa Vittal} and Chris Robertson and Ritchie, {Lewis D} and Aziz Sheikh and Luke Daines", note = "Funding: Chief Scientist Office (Scotland) and Medical Research Council.", year = "2023", month = mar, day = "7", doi = "https://dx.doi.org/10.2139/ssrn.4376992", language = "English", publisher = "SSRN", type = "WorkingPaper", institution = "SSRN", } .

PREPRINT

K. A. Atoloye, T. V. Lawal, A. S. Adebowale, A.F. Fagbamigbe (2022). A spatio-temporal mapping and bayesian modelling of risk factors of pneumonia symptoms in under-five children in Nigeria .

Adeniyi Francis Fagbamigbe, Siang Ing Lee, Holly Hope, Dermot O’Reilly, Lisa Kent, Gillian Santorelli, Anuradhaa Subramanian, Ngawai Moss, Amaya Azcoaga-Lorenzo, Catherine Nelson-Piercy, et al. (2022). Maternal and children’s outcomes for pregnant women with pre-existing multiple long-term conditions: a study protocol of an observational study in the United Kingdom .

Owen R, Lyons J, Akbari A, Guthrie B, Agrawal U, Alexander D, Azcoaga-Lorenzo A, Brookes A, Denaxas S, Dezateux C, et al.(2022). Temporal sequencing in multimorbidity using population-scale linked data for 1.7 million individuals with 20-year follow-up .

Adeniyi Francis Fagbamigbe, Adeola Fowotade, Folasade Bamidele, Boluwatife Egbetola, Babatunde Ayodeji Adeagbo, Bolanle Olufunlola Adefuye, Ajibola Olagunoye, Temitope Olumuyiwa Ojo, Akindele Olupelumi Adebiyi, Omobolanle Ibitayo Olagunju, et al.(2022). Efficacy and safety of nitazoxanide combined with ritonavir-boosted atazanavir for the treatment of mild to moderate COVID-19 . Cold Spring Harbor Laboratory

Fagbamigbe AF, Fagbamigbe OS, Olaseinde OS, Bello OO, Setlhare V, Nyaberi JM(2021). A Multilevel Bayesian Markov Chain Monte Carlo Poisson Modelling of Factors Associated With Number of Components of Antenatal Care Offered Pregnant Women In Nigeria .

Adeniyi Francis Fagbamigbe, Ngianga-Bakwin Kandala, Olalekan A. Uthman (2020). Decomposing the educational inequalities in the factors associated with severe acute malnutrition among under-five children in Low- and Middle-Income Countries .

Adeniyi Francis Fagbamigbe, Ngianga- Bakwin Kandala, Olalekan Uthman (2020). Decomposing the educational inequalities in the factors associated with severe acute malnutrition among under-five children in Low- and Middle-Income Countries .

Adeniyi Francis Fagbamigbe, Ngianga- Bakwin Kandala, Olalekan Uthman (2019). Decomposing the educational inequalities in the risk factors of severe acute malnutrition among under-five children in low and middle-income countries .

REPORT

Adeniyi Francis Fagbamigbe, Francois Daudelin, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Hamid Mehmood (2021). Mapping WASH-related disease risk: A review of risk concepts and methods .

OTHER

A. F. Fagbamigbe, A. O. Akintayo, O. Oshodi, F. T. Makinde, M. Babalola, E. A. Damilola, O. C. Enabor(2019). Survival Analysis and Prognostic Factors of Time to First Domestic Violence after Marriage among Married Women in Africa . Cold Spring Harbor Laboratory

CONFERENCE PAPER

Oladele, A. S. and Fagbamigbe, A. F. and Bafitlhile, T. M.(2016). Modelling climate change effects on sustainable transport facilities through time series and rainfall trend analysis of Palapye - Botswana . IASTED International Conference on Modelling and Simulation (AfricaMS 2016). (6). p. 293--300.

level-one heading

Decades of expereience in Health data science, Biostatistics and Monitoring and Evaluation,

University of St Andrews

Assistant Professor / Associate Professor

University of Ibadan

PhD

University of Ibadan

Implememntation Science

WHO TDR