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CV:
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Background:
Welcome to the Computational Epidemiology Lab
New NSF award on addressing the opioid crisis ("Community-Driven Data Engineering for Substance Abuse Prevention in the Rural Midwest").
Presentation on Smart Cities and Public Health given at the 2017 Midwest Big Data Hub All-Hands Meeting in Omaha, Nebraska.
I work on "big picture" public health issues that leverage data analytics, systems thinking, and complex systems modeling to translate data into action.
Check out my research group website, CompEpiLab. I regularly update it with posts and links to data, events, coding tips, and videos.
Current Research Projects
1. Birth Outcomes/Infant mortality
-Systems Modeling of Infant Mortality in Ohio
-Agent-Based Models of Preterm Birth in the US
-Community Based System Dynamics for Reproductive Health Policy in Ohio
2. Food Insecurity
-Smart Foodsheds in Ohio and California
-Agent-based model of Food Insecurity and Diet-related Health Outcomes in Franklin County, Ohio
-Smart Columbus Hackathon on food access
-Cost-effectiveness of Food Prescription Programs by Health Care Providers
3. Air Pollution
-Citizen Scientists for Monitoring Local Air Quality using Low-Cost Air Quality Sensors
-K-12 STEM Education for Translational Data Analytics in Environmental Health
4. Opioid Epidemic
-Franklin County Opioid Recovery Deserts
-OpenOD: A Framework for Open-Source Opioid-related Data in Rural Settings
-Systems Models for Opioid Epidemic
Funding: OSU Internal Seed Grants (InFACT, Opioid Innovation Fund, IPR), NSF (Midwest Big Data Hub, EAGER, Smart and Connected Communities), Foundation, and State of Ohio (Infant Mortality Research Partnership).
Research Interests:
Systems Science, Agent-Based Modeling, Birth Outcomes/Infant Mortality, Environmental Epidemiology, Air Pollution, Citizen Science, Opioid epidemic, Food insecurity, Smart Cities, Health Economics
Education:
Courses:
Selected Publications:
Koh, K., Reno, R., and Hyder, A. Examining Disparities in Food Accessibility among Households in Columbus, Ohio: An Agent-Based Model. Accepted in Food Security.
Hyder, A. 2018. Public Funding for Genomics and the Return on Investment: A Public Health Perspective. Perspect Biol Med 61 (4), 572-583
Reno, R., and Hyder, A. The Evidence Base for Social Determinants of Health as Risk Factors for Infant Mortality: A Systematic Scoping Review. Journal of Health Care for the Poor and Underserved. 29 (4), 1188-1208
Koh, K., Reno, R., and Hyder, A. 2018. Designing an Agent-Based Model using Group Model Building: Application to Food Insecurity Patterns in a U.S. Midwestern Metropolitan City. Journal of Urban Health. 95 (2), 278-289
Hosseinichimeh N, MacDonald R, Hyder A, Ebrahimvandi A, Porter L, Reno R, Maurer J, Andersen DL, Richardson G, Hawley J, Andersen DF. Group Model Building Techniques for Rapid Elicitation of Parameter Values, Effect Sizes, and Data Sources. System Dynamics Review. 2017 Jan 1;33(1):71-84.
Qiao, Y., Hyder, A., Bae, S., Zarin, W., O’Neill, T., Marcon, N., Stein, L. and Hla-Hla Thein. 2015. Screening and surveillance of Barrett’s esophagus for esophageal adenocarcinoma: A systematic review and meta-analysis. Clinical and Translational Gastroenterology. 6 (12), e131
Hyder, A., and B. Leung. 2015. Social deprivation and burden of influenza: Testing hypotheses and gaining insights from a simulation model for the spread of influenza. Epidemics. 11 :71-79.
Hyder, A., Lee, H.J., Ebisu, K., Koutrakis, P., Belanger, K., and M.L. Bell. 2014. PM2.5 Exposure and Birth Outcomes: Use of Satellite- and Monitor-Based Data. Epidemiology. 25(1):58-67.
Hyder, A., Buckeridge, D.L., and B. Leung. 2013. Predictive validation of an influenza spread model. PLoS One. 8(6): e65459.
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