Using spatial epidemiology to better understand COVID in Ohio
Dimensions
Cuadros, Diego F. and Devi, Chayanika and MacKinnon, Neil J. (2023) Using spatial epidemiology to better understand COVID in Ohio. In: Ohio under COVID. University of Michigan Press, United States of America, pp. 167-193. ISBN 9780472055722
|
Text
- Published Version
Restricted to Registered users only Download (3MB) | Request a copy |
Abstract
In this research piece, scholars of health geography, bioinformatics, and population health analyze COVID trends in Ohio, with a particular focus on how the state’s rural versus urban divide bucks national trends and demands its own targeted interventions.
| Item Type: | Book Section |
|---|---|
| Authors: | Cuadros, Diego F. and Devi, Chayanika and MacKinnon, Neil J. |
| Editors: | Editors Email ORCID Sorrels, Katherine UNSPECIFIED UNSPECIFIED Carbonell, Vanessa UNSPECIFIED UNSPECIFIED Bessett, Danielle UNSPECIFIED UNSPECIFIED Arduser, Lora UNSPECIFIED UNSPECIFIED Wallace, Edward V. UNSPECIFIED UNSPECIFIED McGowan, Michelle L. UNSPECIFIED UNSPECIFIED |
| Document Language: | Language English |
| Subjects: | Technology > Medicine & health Technology > Medicine & health > Diseases Public Health |
| Divisions: | Azim Premji University - Bengaluru |
| Full Text Status: | Restricted |
| URI: | http://publications.azimpremjiuniversity.edu.in/id/eprint/6861 |
| Publisher URL: | https://press.umich.edu/ |
Actions (login required)
![]() |
View Item |
PlumX Metrics

Dimensions
Dimensions