Journal article
Bio-climatic impact on malaria prevalence in Ghana: A multi-scale spatial modeling
African Geographical Review, Vol.43(2), pp.207-228
2024
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Abstract
Whilst climate change is expected to tremendously influence the regional transmission of malaria, the available data reveal conflicting results. This study provides contextual evidence. We adopted multi-scale geographically weighted regression (MGWR) modelling approach. AICc and local r2 were used to evaluate performance of the MGWR. . The MGWR analysis showed that LST (β = −0.667), maximum temperature (β = −0.507), mean temperature (β = −0.480), and distance from streams (β = −0.487) were negatively associated with malaria prevalence. However, enhanced vegetation index correlated positively with malaria prevalence (β = 0.663). Our results may be important for public health interventions.
Details
- Title
- Bio-climatic impact on malaria prevalence in Ghana: A multi-scale spatial modeling
- Creators
- Moses Asori - Kwame Nkrumah University of Science and TechnologyAli Musah - Kwame Nkrumah University of Science and TechnologyRazak M. Gyasi - African Population and Health Research Center
- Publication Details
- African Geographical Review, Vol.43(2), pp.207-228
- Publisher
- Routledge
- Identifiers
- 991013055111102368
- Copyright
- © 2022 The African Specialty Group of the American Association of Geographers.
- Academic Unit
- National Centre for Naturopathic Medicine
- Language
- English
- Resource Type
- Journal article