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Prof Eric Ohuma

Professor of Medical Statistics and Epid

United Kingdom

I am a Professor of Medical Statistics and Epidemiology, with a DPhil (PhD) in Medical Statistics from the University of Oxford (UK), and an MSc in Medical Statistics from London School of Hygiene & Tropical Medicine (LSHTM). Before joining LSHTM, I was a Child Growth & Development Senior Research Fellow at the Centre for Global Child Health (SickKids) - Canada. Previous to this, I was at the University of Oxford as the Lead Statistician of the INTERGROWTH-21st Project, an international multi-centre project that resulted in some key publications i.e., the international standards for pregnancy dating, standards for monitoring fetal size during pregnancy, neonatal size at birth, postnatal standards for monitoring preterms, and gestational weight gain standards among others. The international growth standards are currently used in several hospitals/countries and have contributed to changes in clinical practise. I started my research carreer at the Kenya Medical Research Institute (KEMRI)/Wellcome Trust Research Centre as a Statistics intern and then was employed as a Medical Statistician.

Affiliations

Department of Infectious Disease Epidemiology and International Health
Faculty of Epidemiology and Population Health

Centres

Centre for Maternal Adolescent Reproductive & Child Health

Teaching

Eric is one of the module organisers for Statistical Methods in Epidemiology. He teaches on Statistical Methods in Epidemiology and Advanced Statistical Methods in Epidemiology. Currently supervising MSc and PhD students.

Research

My research interests are particularly in maternal, newborn, and child health. Specifically, statistical methodology and applications for child growth and development, clinical prediction modelling, and impact evaluation of complex interventions.
Research Area
Bayesian analysis
Capacity development
Child health
Complex interventions
Global health
Statistical methods
Perinatal health
Maternal health
Newborn health
Health impact analysis
Health systems
Modelling
Country
Brazil
Kenya
Ghana
Tanzania
Malawi
Nigeria
Region
Sub-Saharan Africa (developing only)
Least developed countries: UN classification

Selected Publications

Neonatal indicator data in Tanzania District Health Information System: evaluation of availability and quality of selected newborn indicators, 2015-2022.
Shabani, J; Salim, N; Bohne, C; DAY, LT; Kumalija, C; Makuwani, AM; Bundala, F; Ismail, H; LAWN, JE; OHUMA, EO;
2025
BMC pediatrics
Comparison of INTERGROWTH- 21st and Fenton growth standards to assess size at birth and at discharge in preterm infants in the United Arab Emirates.
Cheikh Ismail, L; Mohamad, MN; OHUMA, EO; ElHalik, MS; Dash, SK; Osaili, TM; Hasan, H; Hashim, M; Saleh, ST; Daour, RA; Parker, SR; Ali, HI; Stojanovska, L; Al Dhaheri, AS;
2024
BMC pediatrics
Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: a scoping review protocol.
AKUZE, J; Ngatia, B; Amare, SY; Wanduru, P; Otieno, GP; Kananura, RM; Fati, K-S; Amouzou, A; Estifanos, AS; OHUMA, E;
2024
BMJ open
Post-term births as a risk factor for small for gestational age births and infant mortality in Brazil, Mexico, and Palestinian refugees: An analysis of electronic birth records.
JAMALUDDINE, Z; Suarez Idueta, L; PAIXAO, ES; PESCARINI, JM; Ghattas, H; Sato, M; Seita, A; Martinez-Juarez, LA; Barreto, ML; OHUMA, EO; DAY, LT; CAMPBELL, OM R; BLENCOWE, H;
2024
Paediatric and perinatal epidemiology
Strategies for data harmonisation in preterm health research: Bridging the gap.
OHUMA, EO; AKUZE, J;
2024
Paediatric and perinatal epidemiology
Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: A scoping review protocol
Joseph, A; NGATIA, B; Amare, SY; Wanduru, P; Otieno, GP; Kananura, RM; Kirakoya-Samadoulougou, F; Amouzou, A; Estifanos, AS; OHUMA, EO;
2024
Cold Spring Harbor Laboratory
Stillbirth risk by fetal size among 126.5 million births in 15 countries from 2000 to 2020: A fetuses-at-risk approach.
OKWARAJI, YB; Suárez-Idueta, L; OHUMA, EO; BRADLEY, E; Yargawa, J; Pingray, V; Cormick, G; Gordon, A; Flenady, V; Horváth-Puhó, E; Sørensen, HT; Abuladze, L; Heidarzadeh, M; Khalili, N; Yunis, KA; Al Bizri, A; Barranco, A; Van Dijk, AE; Broeders, L; Alyafei, F; Olukade, TO; Razaz, N; Söderling, J; Smith, LK; Matthews, RJ; ... National Vulnerable Newborn Mortality Collaborativ,
2024
BJOG : an international journal of obstetrics and gynaecology
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