Ayaz Hyder, PhD

Ayaz Hyder, PhD
Assistant Professor
Affiliated Faculty, Translational Data Analytics
Environmental Health Sciences
Phone: 614-247-4936
Email: hyder.22@osu.edu
CV: PDF icon CV_Ayaz Hyder_July_2019.pdf
Website: http://u.osu.edu/hyder.22/
1841 Neil Ave.
380D Cunz Hall
Columbus, OH, 43210

Background:

Welcome to the Public Health Intelligence Lab (PHIL)

Vision

A prophetic public health system that sense and counteracts emerging threats to human health.

Mission

Develop a theory of public health.

Design tools for sensing threats to human health (focus on non-infectious diseases).

Refine existing frameworks for translation of data --> knowledge --> action.

Discover and engineering consequential solutions for complex public health issues.


I work on "big picture" public health issues that leverage data analytics, systems thinking, and complex systems modeling to translate data into action.


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
-Healing Communities Study (Health Economics and Simulation Modeling)

-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), NIH (Healing Communities Study), 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:

Research Associate, Health Services Research, University of Toronto, 2013-2015
Postdoctoral training, Environmental Epidemiology, Yale University, 2011-2013
PhD, Biology, McGill University, 2012
BSc, Biology, McMaster University, 2005

Awards/Honors:

2nd Place in Poster Session #2 at Society for Epidemiological Research Conference 2019.

Courses:

PUBHEHS 3310 Current Issues in Global Environmental Health
PUBHEHS 7411 Environmental Epidemiology
PUBHHLTH 5015 Data Analytics in Public Health I
PUBHHLTH 7015 Data Analytics in Public Health II

Selected Publications:

 

Hollander, A. D., Hoy, C., Huber, P., Hyder, A., Lange, M. C., Latham, A., Lewis, S., Quinn, J. F., Riggle, C., Tomich, T. P. Towards smart foodsheds: using stakeholder engagement to improve informatics frameworks for regional food systems. Submitted to 2020 Special Issue of the Annals of the American Association of Geographers on the topic of "Smart Spaces  and Places”. (Accepted in Annals of the American Association of Geographers)

Koh, K., Reno, R., and Hyder, A. Examining Disparities in Food Accessibility among Households in Columbus, Ohio: An Agent-Based Model. Food Insecurity. 11 (2), 317-331.

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.