Darryl B. Hood
Environmental Science · The Ohio State University
Publications
117
Citations
3,061
Est. group size
~4
Recurring co-author estimate
Active years
36
Publishing since 1991
Darryl B. Hood's research examines how environmental exposures—such as air pollution, particulate matter, and green space—affect human health, cognition, and racial health disparities. Recent work combines traditional toxicology and epidemiology with computational and machine-learning approaches to study community-level exposures, chronic disease risk, and health equity. Much of the research involves community-based participatory methods and data-sharing frameworks for studying environmental health at population scale.
Publication output has fluctuated over the last decade with no clear upward or downward trend, generally ranging between 2 and 8 papers per year and averaging about 5 per year recently.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Dataset for: Spatial-Temporal Variation of Green Space and Racial Disparities in the United States
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Dataset for: Spatial-Temporal Variation of Green Space and Racial Disparities in the United States
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Spatial-temporal variation of green space and racial disparities in the United States
Environmental Research Health · 2026
- Particulate matter 2.5 (PM <sub>2.5</sub> ) - associated cognitive impairment and morbidity in humans and animal models: a systematic review
Journal of Toxicology and Environmental Health Part B · 2025
- Altered nasal and oral microbiomes define pediatric sickle cell disease
mSphere · 2025
- Computational Ethnography: Scaling Community-Based Participatory Research and Planning
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
- The Modifying Role of Resilience on Allostatic Load and Cardiovascular Disease Risk in the Jackson Heart Study
UNC Libraries · 2025
- A long and winding road: culture change on data sharing in exposomics
Exposome · 2024
- Association between Autism Spectrum Disorder and Environmental Quality in the United States
ISPRS International Journal of Geo-Information · 2024
- Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health
Milbank Quarterly · 2024
- A multidimensional tool to measure farm stressors: development and initial validation of the farmer stress assessment tool (FSAT)
BMC Psychology · 2024
- Sickle Cell Disease Microbiologic and Immunologic Links to Health Equity (SMILE)
2024
- Stress, Mental Health, and Resilience among Western Prairie Farmers in Canada: A Cross-Sectional Comparison Study
Research Square · 2024
- ML/AI, Data Science, and Exposure Science: Lessons Learned from Engagement with Communities and Public Health/Policy Planning for the Future
Annals of Epidemiology · 2024
- Community-level exposomics: a population-centered approach to address public health concerns
Exposome · 2023
- International Journal of Environmental Research and Public Health×5
- Circulation×5
- Elsevier eBooks×4
- Exposome×2
- Annals of Epidemiology×2
- Claire E. Bollinger
Environmental Science · The Ohio State University
- Mingjie Shen
Environmental Science · Purdue University West Lafayette
- Ronald A. Hites
Environmental Science · Indiana University
- Marta Venier
Environmental Science · Indiana University
- Amarnath Singh
Environmental Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile