Projected shifts in the distribution of malaria vectors due to climate change

Maria Chara Karypidou (), Vasiliki Almpanidou, Adrian M. Tompkins, Antonios D. Mazaris, Sandra Gewehr, Spiros Mourelatos and Eleni Katragkou
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Maria Chara Karypidou: Aristotle University of Thessaloniki
Vasiliki Almpanidou: Aristotle University of Thessaloniki
Adrian M. Tompkins: The Abdus Salam International Centre for Theoretical Physics (ICTP)
Antonios D. Mazaris: Aristotle University of Thessaloniki
Sandra Gewehr: EcoDevelopment SA
Spiros Mourelatos: EcoDevelopment SA
Eleni Katragkou: Aristotle University of Thessaloniki

Climatic Change, 2020, vol. 163, issue 4, No 25, 2117-2133

Abstract: Abstract Climate change is postulated to alter the distribution and abundance of species which serve as vectors for pathogens and is thus expected to affect the transmission of infectious, vector-borne diseases such as malaria. The ability to project and therefore, to mitigate the risk of potential expansion of infectious diseases requires an understanding of how vectors respond to environmental change. Here, we used an extensive dataset on the distribution of the mosquito Anopheles sacharovi, a vector of malaria parasites in Greece, southeast Europe, to build a modeling framework that allowed us to project the potential species range within the next decades. In order to account for model uncertainty, we employed a multi-model approach, combining an ensemble of diverse correlative niche models and a mechanistic model to project the potential expansion of species distribution and to delineate hotspots of potential malaria risk areas. The performance of the models was evaluated using official records on autochthonous malaria incidents. Our projections demonstrated a gradual increase in the potential range of the vector distribution and thus, in the malaria receptive areas over time. Linking the model outputs with human population inhabiting the study region, we found that population at risk increases, relative to the baseline period. The methodological framework proposed and applied here, offers a solid basis for a climate change impact assessment on malaria risk, facilitating informed decision making at national and regional scales.

Keywords: Climate change; Malaria; Vector-borne diseases; Correlative niche models; VECTRI (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10584-020-02926-9

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