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  • Authors: Mark W. Smith; Thomas Willis; Elizabeth Mroz; William H. M. James; +3 Authors

    Changes in climate shift the geographic locations that are suitable for malaria transmission because of the thermal constraints on vector Anopheles mosquitos and Plasmodium spp. malaria parasites and the lack of availability of surface water for vector breeding. Previous Africa-wide assessments have tended to solely represent surface water using precipitation, ignoring many important hydrological processes. Here, we applied a validated and weighted ensemble of global hydrological and climate models to estimate present and future areas of hydroclimatic suitability for malaria transmission. With explicit surface water representation, we predict a net decrease in areas suitable for malaria transmission from 2025 onward, greater sensitivity to future greenhouse gas emissions, and different, more complex, malaria transmission patterns. Areas of malaria transmission that are projected to change are smaller than those estimated by precipitation-based estimates but are associated with greater changes in transmission season lengths.

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    Science
    Article . 2024 . Peer-reviewed
    Data sources: Crossref
    Science
    Article . 2024
    3
    citations3
    popularityAverage
    influenceTop 10%
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Advanced search in Research products
Research products
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Searching FieldsTerms
Author ORCID
arrow_drop_down
is
arrow_drop_down
The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.
1 Research products
  • Authors: Mark W. Smith; Thomas Willis; Elizabeth Mroz; William H. M. James; +3 Authors

    Changes in climate shift the geographic locations that are suitable for malaria transmission because of the thermal constraints on vector Anopheles mosquitos and Plasmodium spp. malaria parasites and the lack of availability of surface water for vector breeding. Previous Africa-wide assessments have tended to solely represent surface water using precipitation, ignoring many important hydrological processes. Here, we applied a validated and weighted ensemble of global hydrological and climate models to estimate present and future areas of hydroclimatic suitability for malaria transmission. With explicit surface water representation, we predict a net decrease in areas suitable for malaria transmission from 2025 onward, greater sensitivity to future greenhouse gas emissions, and different, more complex, malaria transmission patterns. Areas of malaria transmission that are projected to change are smaller than those estimated by precipitation-based estimates but are associated with greater changes in transmission season lengths.

    Sciencearrow_drop_down
    Science
    Article . 2024 . Peer-reviewed
    Data sources: Crossref
    Science
    Article . 2024
    3
    citations3
    popularityAverage
    influenceTop 10%
    impulseAverage
    BIP!Powered by BIP!
    more_vert
Powered by OpenAIRE graph