Yellow Fever In Ghana: Predicting Emergence And Ecology From Historical Outbreaks.
| dc.contributor.author | Judson, S.D. | |
| dc.contributor.author | Kenu, E. | |
| dc.contributor.author | Fuller, T. | |
| dc.contributor.author | Asiedu-Bekoe, F. | |
| dc.contributor.author | Biritwum-Nyarko, A. | |
| dc.contributor.author | Schroeder, L.F. | |
| dc.contributor.author | Dowdy, D.W. | |
| dc.date.accessioned | 2025-07-15T11:10:15Z | |
| dc.date.issued | 2024-10-21 | |
| dc.description | Research Article | |
| dc.description.abstract | Understanding the epidemiology and ecology of yellow fever in endemic regions is critical for preventing future outbreaks. Ghana is a high-risk country for yellow fever. In this study we estimate the disease burden, ecological cycles, and areas at risk for yellow fever in Ghana based on historical outbreaks. We identified 2387 cases and 888 deaths (case fatality rate 37.7%) from yellow fever reported in Ghana from 1910 to 2022. During the approxi mately 30-year periods before and after the implementation of routine childhood vaccination in 1992, the reported mean annual number of cases decreased by 80%. The geographic distri bution of yellow fever cases has also changed over the past century. While there have been multiple large historical outbreaks of yellow fever in regions throughout Ghana, recent out breaks have originated in northern regions. Comparing the locations where yellow fever out breaks have emerged, we find patterns with seasons and different ecological transmission cycles. Using an ecological niche modelling framework, we predict areas in Ghana that are similar to where prior yellow fever outbreaks have originated based on temperature, precipi tation, vegetation, and human population density. We find that these predictions differ depending on the ecological cycles of outbreaks. Ultimately, these findings and methods could be used to inform further subnational risk assessments for yellow fever in Ghana and other high-risk countries. | |
| dc.description.sponsorship | This work was supported by the National Institute of Health (T32AI007291-32 to SDJ; R01AI136977 to DWD, LFS, FA, and EK). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. | |
| dc.identifier.citation | Judson SD, Kenu E, Fuller T, Asiedu Bekoe F, Biritwum-Nyarko A, Schroeder LF, et al. (2024) Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks. PLOS Glob Public Health 4(10): e0003337. | |
| dc.identifier.uri | https://doi.org/10.1371/journal.pgph.0003337 | |
| dc.identifier.uri | https://ugspace.ug.edu.gh/handle/123456789/43420 | |
| dc.language.iso | en | |
| dc.publisher | PLOS Global Public Health | |
| dc.subject | Yellow Fever | |
| dc.subject | Ghana | |
| dc.subject | Ecology | |
| dc.title | Yellow Fever In Ghana: Predicting Emergence And Ecology From Historical Outbreaks. | |
| dc.type | Article |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Yellow Fever In Ghana Predicting Emergence And Ecology From Historical Outbreaks.pdf
- Size:
- 1.41 MB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description:
