Henry Owoko Odero

ORCID: 0000-0002-3678-4332
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About
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Research Areas
  • Global Maternal and Child Health
  • Global Public Health Policies and Epidemiology
  • Healthcare Systems and Reforms
  • Obesity, Physical Activity, Diet
  • Data-Driven Disease Surveillance
  • Infant Development and Preterm Care
  • Child Nutrition and Water Access
  • Global Health and Epidemiology
  • Mobile Health and mHealth Applications
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare
  • Consumer Attitudes and Food Labeling

African Population and Health Research Center
2023-2025

Background Observational health data are collected in different formats and structures, making it challenging to analyze with common tools. The Medical Outcome Partnership (OMOP) Common Data Model (CDM) is a standardized model that can harmonize observational data. Objective This paper demonstrates the use of OMOP CDM COVID-19 sero-surveillance from Nairobi Urban Health Demographic Surveillance System (HDSS). Methods In this study, we extracted HDSS database mapped CDM. We used open-source...

10.3389/fdgth.2025.1423621 article EN cc-by Frontiers in Digital Health 2025-01-28

Kenya is experiencing a significant increase in the prevalence of non-communicable diseases (NCDs) such as cardiovascular diseases, hypertension, Type 2 diabetes, and certain cancers (bowel, lung, prostate, uterine). This case not unique to but common many Low Middle-Income Countries (LMICs) Africa. Many NCDs, are linked diets high added sugars, sodium, saturated fat, low fiber. There notable lack information regarding demographic differences among supermarket customers their purchasing...

10.1177/00469580251319905 article EN cc-by-nc INQUIRY The Journal of Health Care Organization Provision and Financing 2025-01-01

Introduction Understanding the determinants of disease burden is imperative in enhancing population health outcomes. This study uses data from Iganga-Mayuge Health and Demographic Surveillance Site, to understand demographic socioeconomic factors influencing morbidity. Methods We analysed secondary 2018 2023. employed graphs tables present morbidity patterns across different sociodemographic applied mixed-effects multinomial multivariate logistic regression model correlates Results The...

10.1136/bmjph-2024-000898 article EN cc-by-nc BMJ Public Health 2024-11-01

Between 2019 and 2022, the digital dividend project (DDP), a technology-based intervention that combined care (MomCare) quality improvement (SafeCare) bundles to empower mothers access during pregnancy, labor, delivery, postnatally, was implemented in Kenya Tanzania aiming improve maternal newborn health outcomes. We describe experiences of accessing utilizing services under bundles, workers providing services. November December we conducted qualitative evaluation across facilities Tanzania....

10.1371/journal.pone.0294536 article EN cc-by PLoS ONE 2023-11-16
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