Identifying Malaria Hotspots Regions in Ghana Using Bayesian Spatial and Spatiotemporal Models.

Iddrisu AK, Otoo D, Hinneh G, Kanyiri YD, Samuel KY, Kubio C, Veriegh FBD

DOI: 10.1097/id9.0000000000000116
Published: 2024 Apr
Container: Infectious diseases & immunity
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1097/id9.0000000000000116,
  title = {Identifying Malaria Hotspots Regions in Ghana Using Bayesian Spatial and Spatiotemporal Models.},
  author = {Iddrisu AK and Otoo D and Hinneh G and Kanyiri YD and Samuel KY and Kubio C and Veriegh FBD},
  year = {2024},
  journal = {Infectious diseases \& immunity},
  doi = {10.1097/id9.0000000000000116},
  url = {https://doi.org/10.1097/id9.0000000000000116}
}

RIS

TY  - JOUR
TI  - Identifying Malaria Hotspots Regions in Ghana Using Bayesian Spatial and Spatiotemporal Models.
AU  - Iddrisu AK
AU  - Otoo D
AU  - Hinneh G
AU  - Kanyiri YD
AU  - Samuel KY
AU  - Kubio C
AU  - Veriegh FBD
PY  - 2024
JO  - Infectious diseases & immunity
DO  - 10.1097/id9.0000000000000116
UR  - https://doi.org/10.1097/id9.0000000000000116
ER  -

APA

AK, I., D, O., G, H., YD, K., KY, S., C, K., & FBD, V. (2024). Identifying Malaria Hotspots Regions in Ghana Using Bayesian Spatial and Spatiotemporal Models.. Infectious diseases & immunity. https://doi.org/10.1097/id9.0000000000000116

Source records

pubmed · retrieved 2026-09-26T18:29:56.363Z