Zan M Dodson
Biographic Data
| ID | 6080560 |
|---|---|
| NAME | Zan M Dodson |
| GIVEN NAMES | Zan M |
| FAMILY NAME | Dodson |
| SIGNATURE | DODSON Z M |
| AFFILIATIONS | Zan M. Dodson is with the Public Health Dynamics Laboratory, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA. Eun-Hye Enki Yoo is with the Department of Geography, State University of New York at Buffalo. Christian Martin-Gill and Ronald Roth are with the Department of Emergency Medicine, University of Pittsburgh. |
| ORCID | 0000-0003-0839-0720 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 0 |
Spatial Methods to Enhance Public Health Surveillance and Resource Deployment in the Opioid Epidemic
Objectives. To improve public health surveillance and response by using spatial optimization. Methods. We identified cases of suspected nonfatal opioid overdose events in which naloxone was administered from April 2013 through December 2016 treated by the city of Pittsburgh, Pennsylvania, Bureau of Emergency Medical Services. We used spatial modeling to identify areas hardest hit to spatially optimize naloxone distribution among pharmacies in Pit…
Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa
Systematically monitoring clustered populations with low vaccination coverage can inform supplemental immunization activities and strengthen elimination programs. Metrics of spatial heterogeneity should be used routinely to determine the success of immunization programs and the risk of disease persistence
No prominent works on this page.
Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa
Systematically monitoring clustered populations with low vaccination coverage can inform supplemental immunization activities and strengthen elimination programs. Metrics of spatial heterogeneity should be used routinely to determine the success of immunization programs and the risk of disease persistence
Spatial Methods to Enhance Public Health Surveillance and Resource Deployment in the Opioid Epidemic
Objectives. To improve public health surveillance and response by using spatial optimization. Methods. We identified cases of suspected nonfatal opioid overdose events in which naloxone was administered from April 2013 through December 2016 treated by the city of Pittsburgh, Pennsylvania, Bureau of Emergency Medical Services. We used spatial modeling to identify areas hardest hit to spatially optimize naloxone distribution among pharmacies in Pit…
Environmental health (2 works) · Medicine (2 works) · Public health (2 works) · (+)-Naloxone (1 work) · Biostatistics (1 work) · Data-Driven Disease Surveillance (1 work) · Emergency Medicine (1 work) · Emergency Medicine (1 work) · Epidemiology (1 work) · Family medicine (1 work)