Comparative spatial–temporal analysis and predictive modeling of climate change-induced malaria vectors’ invasion in new hotspots in Kenya
Abstract Climate change/variability is a major driving factor among others that contribute to the spread of suitable malaria vectors’ geographical extent. The current study employed comparative spatial–temporal analysis using bioclimatic envelope modeling to predict and quantify the possible surge o...
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| Format: | Article |
| Language: | English |
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Springer
2021-07-01
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| Series: | SN Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-021-04722-1 |