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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ftdoajarticles:oai:doaj.org/article:f14bb74e3d3c41aca26942c83086fbae 2023-05-15T15:06:02+02:00 An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America. Michael Celone David Brooks Pecor Alexander Potter Alec Richardson James Dunford Simon Pollett 2022-07-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0010564 https://doaj.org/article/f14bb74e3d3c41aca26942c83086fbae EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0010564 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0010564 https://doaj.org/article/f14bb74e3d3c41aca26942c83086fbae PLoS Neglected Tropical Diseases, Vol 16, Iss 7, p e0010564 (2022) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2022 ftdoajarticles https://doi.org/10.1371/journal.pntd.0010564 2022-12-30T20:44:48Z 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. Article in Journal/Newspaper Arctic Human health Directory of Open Access Journals: DOAJ Articles Arctic Dyar ENVELOPE(139.517,139.517,71.400,71.400) PLOS Neglected Tropical Diseases 16 7 e0010564 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Michael Celone David Brooks Pecor Alexander Potter Alec Richardson James Dunford Simon Pollett An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Michael Celone David Brooks Pecor Alexander Potter Alec Richardson James Dunford Simon Pollett |
author_facet |
Michael Celone David Brooks Pecor Alexander Potter Alec Richardson James Dunford Simon Pollett |
author_sort |
Michael Celone |
title |
An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America. |
title_short |
An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America. |
title_full |
An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America. |
title_fullStr |
An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America. |
title_full_unstemmed |
An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America. |
title_sort |
ecological niche model to predict the geographic distribution of haemagogus janthinomys, dyar, 1921 a yellow fever and mayaro virus vector, in south america. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2022 |
url |
https://doi.org/10.1371/journal.pntd.0010564 https://doaj.org/article/f14bb74e3d3c41aca26942c83086fbae |
long_lat |
ENVELOPE(139.517,139.517,71.400,71.400) |
geographic |
Arctic Dyar |
geographic_facet |
Arctic Dyar |
genre |
Arctic Human health |
genre_facet |
Arctic Human health |
op_source |
PLoS Neglected Tropical Diseases, Vol 16, Iss 7, p e0010564 (2022) |
op_relation |
https://doi.org/10.1371/journal.pntd.0010564 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0010564 https://doaj.org/article/f14bb74e3d3c41aca26942c83086fbae |
op_doi |
https://doi.org/10.1371/journal.pntd.0010564 |
container_title |
PLOS Neglected Tropical Diseases |
container_volume |
16 |
container_issue |
7 |
container_start_page |
e0010564 |
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1766337697940504576 |