Skip to main content

Faculty & Staff Profiles

Assistant Professor, Department of Health Informatics and Data Science

Health Science Campus

Ifeoma Ozodiegwu holds the position of Assistant Professor in the Department of Health Informatics and Data Science at Loyola University. She serves as a Principal Investigator at the Urban Malaria Project—a consortium of universities conducting research in Nigeria to comprehend the burden and determinants of urban malaria transmission. Previously, she functioned as a Research Assistant Professor at Northwestern University's Feinberg School of Medicine.

During her tenure at Northwestern University, she led the development of the first mathematical model designed to inform subnational intervention tailoring in Nigeria. The outcomes of this project have been published in the Malaria Journal. Following this initiative, Ifeoma contributed to Nigeria’s National Malaria Elimination Program by aiding in the development of a mixed-methods prioritization framework. This framework aims to identify low-risk malaria areas and was successfully piloted in Ilorin, the capital city of Kwara in Nigeria, during the 2023 Integrated (bednet and chemoprevention) mass campaign.

Ifeoma Ozodiegwu completed her postdoctoral training in mathematical modeling at Northwestern University. She holds a Doctor of Public Health (DrPH) degree in Epidemiology, along with a Master of Public Health (MPH) in Health Services Administration from East Tennessee State University in the United States.

  • Doctor of Public Health, East Tennessee State University
  • Master of Public Health, East Tennessee State University



  1. Liu Y, Ozodiegwu ID, Yu Y, Hess R, Bie R. An Association of Health Behaviors with Depression and Metabolic Risks: Data from 2007 to 2014 U.S. National Health and Nutrition Examination Survey. Journal of Affective Disorders. 2017; 190-196.

2.      Liu Y, Ozodiegwu ID, Nickel JC, Wang K, Iwasaki LR. Self-reported health and behavioral factors are associated with metabolic syndrome in Americans aged 40 and over. Preventive Medicine Reports. 2017; 7, 193-197.

3.      Ariyo O, Ozodiegwu ID, Doctor HV. The influence of the social and cultural Environment on maternal mortality in Nigeria. Evidence from the 2013 Demographic and Health Survey. PLoS ONE, 2017; 12(12): e0190285

4.      Quinn M, Caldara G, Collins K, Owens H, Ozodiegwu ID, Loudermilk E, Stinson J. D. Methods for understanding childhood trauma: modifying the Adverse Childhood Experiences International Questionnaire for cultural competency. International Journal of Public Health. 2018; 63(1), 149-151.

5.      Ozodiegwu ID, Littleton MA, Nwabueze C, Famojuro O, Quinn M, Wallace R, Mamudu HM. A qualitative evidence synthesis of contextual factors contributing to female overweight and obesity over the life course in sub-Saharan Africa. PLoS ONE, 2019; 14(11): e0224612

6.      Ozodiegwu ID, Mamudu HM, Wang L, Wallace R, Quinn M, Liu Y, Doctor HV. Country-Level analysis of the association between maternal obesity and neonatal neortality in 34 sub-Saharan African Countries. Annals of Global Health. 2019; 85(1):139.

7.      Wang N, Ozodiegwu ID, Gong S, Wang K, X Xie. Multivariate Analyses of Social-Behavioral Factors with Health Insurance Coverage among Asian Americans in California. Quantitative Finance and Economics. 2019; 3(3):473-48

8.      Liu Y, Ozodiegwu ID, Wang K, Wang L, Ning Shunbin, Zheng Shimin, Lu Yongke. Prevalence of metabolic conditions differentiated by BMI in U.S. adults. Journal of Integrative Cardiology Open Access. 2015; doi: 10.31487/j.JICOA.2019.04.07.

9.      Ozodiegwu ID, Doctor HV, Quinn M, Mercer LD, Omoike EO, Mamudu HM. Is the positive association of middle income and rich household wealth on adult sub-Saharan African women’s overweight status modified by the level of education attainment? A cross-sectional study of 22 countries. BMC Public Health. 2020; 20, 996.

10.   Ntakirutimana T, O’Connell B, Quinn M, Scheuerman P, Sunday F, Ozodiegwu ID, Mbarushimana V, Franck GSH, Rubuga Kitema Felix. Linkage between water, sanitation, hygiene, and child health in Bugesera District, Rwanda: a cross-sectional study. Waterlines. 2021; 40(1). doi: 10.3362/1756-3488.20-00008

11.   Ozodiegwu ID, Ambrose M, Galatas B, Runge M, Nandi A, Okuneye K, Parveen ND, Ehler T, Maikore I, Uhomoibhi P, Bever C, Noor A, Gerardin J. Application of mathematical modeling to inform national malaria intervention planning in Nigeria. Malaria Journal. 2023; 22, 137.doi: 10.1186/s12936-023-04563-w

12.   Ozodiegwu ID, Ogunwale A, Surakat O, Akinyemi J, Bamboye E, Fagbamigbe A, Bello MM, Adamu AY, Uhomobhi P, Ademu C, Okoronokwo C, Adeleke M, Ajayi I. Description of the design of a mixed-methods study to assess the burden and determinants of malaria transmission for tailoring of interventions (microstratification) in Ibadan and Kano metropolis. Malaria Journal. 2023; 22, 255. doi: 10.1186/s12936-023-04684-2

13.   Diallo OO, Ozodiegwu ID, Camara A, Galatas B, Gerardin J. Factors associated with the ownership and use of insecticide-treated nets in Guinea: an analysis of the 2018 Demographic and Health Survey (DHS). Malaria Journal. 2023; 22, 29. doi: 10.1186/s12936-023-04463-z

14.   Chiziba C, Ousmane Diallo, Bertozzi-Villa A, Weiss D, Mercer L, Gerardin J, Ozodiegwu ID. Socioeconomic, demographic and environmental factors may inform malaria intervention prioritization in urban Nigeria. Int. J. Environ. Res. Public Health. 2024; 21, 78. doi.org/10.3390/ijerph21010078.


  • Ozodiegwu ID, Ambrose M, Battle K, Bever C, Diallo O, Galatas B, Runge M, Gerardin Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy. Malaria Journal, dot: 10.1186/s12936-021-03646-w.