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Abstract
Mapping the distribution of malaria has received substantial attention because the disease is a major source of illness and mortality in humans, especially in developing countries. It also has a defined temporal and spatial distribution. The distribution of malaria is most influenced by its mosquito vector, which is sensitive to extrinsic environmental factors such as rainfall and temperature. Temperature also affects the development rate of the malaria parasite in the mosquito. Here, we review the range of approaches used to model the distribution of malaria, from spatially explicit to implicit, mechanistic to correlative. Although current methods have significantly improved our understanding of the factors influencing malaria transmission, significant gaps remain, particularly in incorporating nonlinear responses to temperature and temperature variability. We highlight new methods to tackle these gaps and to integrate new data with models.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | Mapping the distribution of malaria: current approaches and future directions |
| DOI | 10.1002/9781118630013.ch10 |
| Edition | 1 |
| Year Published | 2015 |
| Language | English |
| Publisher | Wiley |
| Contributing office(s) | Western Ecological Research Center |
| Description | 21 p. |
| Larger Work Type | Book |
| Larger Work Title | Analyzing and modeling spatial and temporal dynamics of infectious diseases |
| First page | 189 |
| Last page | 209 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |