Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria.
- DOI
- 10.4081/gh.2026.1316
- Published
- 2026 Feb 2
- Container
- Geospatial health
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.4081/gh.2026.1316,
title = {Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria.},
author = {Sanni AO and Jonker A and Johnson OO and Gayawan E and Shittu A and Fasanmi OG and Adebowale OA and Fasina FO},
year = {2026},
journal = {Geospatial health},
doi = {10.4081/gh.2026.1316},
url = {https://doi.org/10.4081/gh.2026.1316}
}RIS
TY - JOUR TI - Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria. AU - Sanni AO AU - Jonker A AU - Johnson OO AU - Gayawan E AU - Shittu A AU - Fasanmi OG AU - Adebowale OA AU - Fasina FO PY - 2026 JO - Geospatial health DO - 10.4081/gh.2026.1316 UR - https://doi.org/10.4081/gh.2026.1316 ER -
APA
AO, S., A, J., OO, J., E, G., A, S., OG, F., OA, A., & FO, F. (2026). Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria.. Geospatial health. https://doi.org/10.4081/gh.2026.1316
Source records
- pubmed · retrieved 2026-09-26T20:02:33.812Z