Journal ArticleDOI
Mosquito-Borne Diseases: Advances in Modelling Climate-Change Impacts
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TLDR
The current state-of-the-art in both mechanistic and correlative disease modelling, the data driving these models, the vectors and diseases covered, and climate models applied to assess future risk are reviewed.About:
This article is published in Trends in Parasitology.The article was published on 2017-12-08. It has received 79 citations till now. The article focuses on the topics: Climate model & Climate change.read more
Citations
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Biodiversity increases the resistance of ecosystem productivity to climate extremes
TL;DR: In this paper, the authors used data from 46 experiments that manipulated grassland plant diversity to test whether biodiversity provides resistance during and resilience after climate events, and found that biodiversity increased ecosystem resilience for a broad range of climate events.
Journal ArticleDOI
Global expansion and redistribution of Aedes-borne virus transmission risk with climate change.
TL;DR: While climate change will lead to increased net and new exposures to Aedes-borne viruses, the most extreme increases in Ae.
Journal ArticleDOI
Thermal biology of mosquito-borne disease
Erin A. Mordecai,Jamie M. Caldwell,Marissa K. Grossman,Catherine A. Lippi,Leah R. Johnson,Marco Neira,Jason R. Rohr,Sadie J. Ryan,Sadie J. Ryan,Van M. Savage,Van M. Savage,Marta S. Shocket,Rachel Sippy,Rachel Sippy,Anna M. Stewart Ibarra,Matthew B. Thomas,Oswaldo C Villena +16 more
TL;DR: Key directions for future work include linking mechanistic models to field transmission, combining temperature effects with control measures, incorporating trait variation and temperature variation, and investigating climate adaptation and migration.
Journal ArticleDOI
Impact of Recent and Future Climate Change on Vector-Borne Diseases
TL;DR: This review highlights significant regional changes in vector and pathogen distribution reported in temperate, peri‐Arctic, Arctic, and tropical highland regions during recent decades, changes that have been anticipated by scientists worldwide.
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The effect of global change on mosquito-borne disease
TL;DR: It is shown, through a review of contemporary modelling studies, that no consensus on how future changes in climatic conditions will impact mosquito-borne diseases exists and research should not focus solely on the role of climate change but instead consider growing evidence for additional factors that modulate disease risk.
References
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Journal ArticleDOI
Maximum entropy modeling of species geographic distributions
TL;DR: In this paper, the use of the maximum entropy method (Maxent) for modeling species geographic distributions with presence-only data was introduced, which is a general-purpose machine learning method with a simple and precise mathematical formulation.
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Novel methods improve prediction of species' distributions from occurrence data
Jane Elith,Catherine H. Graham,Robert P. Anderson,Miroslav Dudík,Simon Ferrier,Antoine Guisan,Robert J. Hijmans,Falk Huettmann,John R. Leathwick,Anthony Lehmann,Jin Li,Lúcia G. Lohmann,Bette A. Loiselle,Glenn Manion,Craig Moritz,Miguel Nakamura,Yoshinori Nakazawa,Jacob C. M. Mc Overton,A. Townsend Peterson,Steven J. Phillips,Karen Richardson,Ricardo Scachetti-Pereira,Robert E. Schapire,Jorge Soberón,Stephen E. Williams,Mary S. Wisz,Niklaus E. Zimmermann +26 more
TL;DR: This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.
Journal ArticleDOI
The global distribution and burden of dengue
Samir Bhatt,Peter W. Gething,Oliver J. Brady,Jane P. Messina,Andrew Farlow,Catherine L. Moyes,John M. Drake,John M. Drake,John S. Brownstein,Anne G. Hoen,Osman Sankoh,Osman Sankoh,Monica F. Myers,Dylan B. George,Thomas Jaenisch,G. R. William Wint,Cameron P. Simmons,Thomas W. Scott,Thomas W. Scott,Jeremy Farrar,Jeremy Farrar,Simon I. Hay,Simon I. Hay +22 more
TL;DR: These new risk maps and infection estimates provide novel insights into the global, regional and national public health burden imposed by dengue and will help to guide improvements in disease control strategies using vaccine, drug and vector control methods, and in their economic evaluation.
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Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
Jane Elith,John R. Leathwick +1 more
TL;DR: Species distribution models (SDMs) as mentioned in this paper are numerical tools that combine observations of species occurrence or abundance with environmental estimates, and are used to gain ecological and evolutionary insights and to predict distributions across landscapes, sometimes requiring extrapolation in space and time.
Journal ArticleDOI
Impacts of climate change on the future of biodiversity.
TL;DR: Overall, this review shows that current estimates of future biodiversity are very variable, depending on the method, taxonomic group, biodiversity loss metrics, spatial scales and time periods considered.
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