The influence of jittering DHS cluster locations on geostatistical model-based estimates of malaria risk in Cameroon
In Cameroon, the malaria risk estimates obtained from the jittered data were comparable to the ones generated using the true locations; however, jittering modified our interpretation of the relationship between environmental predictors and malaria transmission.
Authors
- Romain Wounang
- Penelope Vounatsou (ORCID: https://orcid.org/0000-0002-4904-5352)
- Célestin Kouambeng
- Salomon G. Massoda Tonye
Institutions
- Swiss Tropical and Public Health Institute (CH)
- University of Basel (CH)
- National Radiation Protection Agency of Cameroon (CM)
- National Advanced School of Public Works (CM)
Publication Details
- Journal
- Parasite Epidemiology and Control
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1016/j.parepi.2024.e00397
- Primary Topic
- Soil Geostatistics and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- European Research Council