MVSE: An R-package that estimates a climate-driven mosquito-borne viral suitability index.

Autor: Obolski U; School of Public Health Tel Aviv University Tel Aviv Israel.; Porter School of the Environment and Earth Sciences Tel Aviv University Tel Aviv Israel., Perez PN; Department of Infectious Disease Epidemiology Imperial College London London UK., Villabona-Arenas CJ; Centre for Mathematical Modelling of Infectious Diseases Department of Infectious Disease Epidemiology Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine London UK., Thézé J; Department of Zoology University of Oxford Oxford UK., Faria NR; Department of Zoology University of Oxford Oxford UK., Lourenço J; Department of Zoology University of Oxford Oxford UK.
Jazyk: angličtina
Zdroj: Methods in ecology and evolution [Methods Ecol Evol] 2019 Aug; Vol. 10 (8), pp. 1357-1370. Date of Electronic Publication: 2019 Jun 19.
DOI: 10.1111/2041-210X.13205
Abstrakt: Viruses, such as dengue, Zika, yellow fever and chikungunya, depend on mosquitoes for transmission. Their epidemics typically present periodic patterns, linked to the underlying mosquito population dynamics, which are known to be driven by natural climate fluctuations. Understanding how climate dictates the timing and potential of viral transmission is essential for preparedness of public health systems and design of control strategies. While various alternative approaches have been proposed to estimate local transmission potential of such viruses, few open-source, ready to use and freely available software tools exist.We developed the M osquito-borne V iral S uitability E stimator (MVSE) software package for the R programming environment. MVSE estimates the index P, a novel suitability index based on a climate-driven mathematical expression for the basic reproductive number of mosquito-borne viruses. By accounting for local humidity and temperature, as well as viral, vector and human priors, the index P can be estimated for specific host and viral species in different regions of the globe.We describe the background theory, empirical support and biological interpretation of the index P. Using real-world examples spanning multiple epidemiological contexts, we further demonstrate MVSE's basic functionality, research and educational potentials.
(© 2019 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society.)
Databáze: MEDLINE
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