An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America

Yellow fever virus (YFV) has a long history of impacting human health in South America. Mayaro virus (MAYV) is an emerging arbovirus of public health concern in the Neotropics and its full impact is yet unknown. Both YFV and MAYV are primarily maintained via a sylvatic transmission cycle but can be...

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Bibliographic Details
Published in:PLoS neglected tropical diseases 2022-07, Vol.16 (7), p.e0010564-e0010564
Main Authors: Celone, Michael, Pecor, David Brooks, Potter, Alexander, Richardson, Alec, Dunford, James, Pollett, Simon
Format: Article
Language:English
Subjects:
Aquatic insects
Arbovirus diseases
Archives & records
Bioclimatology
Biology and Life Sciences
Distribution
Ecological distribution
Ecological niches
Ecology and Environmental Sciences
Entropy
Environmental aspects
Epidemics
Fever
Geographical distribution
Habitats
Haemagogus janthinomys
Laboratories
Maximum entropy
Medicine and Health Sciences
Mercury
Mosquitoes
Museums
Niche (Ecology)
Niches
People and places
Physical Sciences
Public health
Risk factors
Transmission
Tropical diseases
Variables
Vector-borne diseases
Viruses
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Description
Summary:Yellow fever virus (YFV) has a long history of impacting human health in South America. Mayaro virus (MAYV) is an emerging arbovirus of public health concern in the Neotropics and its full impact is yet unknown. Both YFV and MAYV are primarily maintained via a sylvatic transmission cycle but can be opportunistically transmitted to humans by the bites of infected forest dwelling Haemagogus janthinomys Dyar, 1921. To better understand the potential risk of YFV and MAYV transmission to humans, a more detailed understanding of this vector species' distribution is critical. This study compiled a comprehensive database of 177 unique Hg. janthinomys collection sites retrieved from the published literature, digitized museum specimens and publicly accessible mosquito surveillance data. Covariate analysis was performed to optimize a selection of environmental (topographic and bioclimatic) variables associated with predicting habitat suitability, and species distributions modelled across South America using a maximum entropy (MaxEnt) approach. Our results indicate that suitable habitat for Hg. janthinomys can be found across forested regions of South America including the Atlantic forests and interior Amazon.
ISSN:1935-2735
1935-2727
1935-2735
DOI:10.1371/journal.pntd.0010564