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Impact of climate change on global malaria distribution

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 03 Feb 2014 United Kingdom, Netherlands Publisher:Proceedings of the National Academy of SciencesJournal:Proceedings of the National Academy of Sciences, volume 111, pages 3,286-3,291 (issn: 0027-8424, eissn: 1091-6490,

Authors: Caminade, Cyril; Kovats, Sari; Rocklov, Joacim; Tompkins, Adrian M; Morse, Andrew P; Colón-González, Felipe J; Stenlund, Hans; +2 Authors

doi: 10.1073/pnas.1302089111

pmid: 24596427

pmc: PMC3948226

Impact of climate change on global malaria distribution

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Abstract

Significance This study is the first multimalaria model intercomparison exercise. This is carried out to estimate the impact of future climate change and population scenarios on malaria transmission at global scale and to provide recommendations for the future. Our results indicate that future climate might become more suitable for malaria transmission in the tropical highland regions. However, other important socioeconomic factors such as land use change, population growth and urbanization, migration changes, and economic development will have to be accounted for in further details for future risk assessments.

Countries

United Kingdom, Netherlands

Related Organizations

University of East Anglia
United Kingdom
Umeå University
Sweden
London School of Hygiene & Tropical Medicine
United Kingdom
University of London
United Kingdom
The Abdus Salam International Centre for Theoretical Physics (ICTP)
Italy

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Keywords

550, Climate Change, Rain, 610, 910, Risk Assessment, disease modeling, Humans, Computer Simulation, uncertainty, global climate impacts, Demography, Geography, Urbanization, Temperature, Uncertainty, Models, Theoretical, Malaria, Socioeconomic Factors, Forecasting

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	478
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 0.1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.1%