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...

Full description

Saved in:
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c628t-e1dfbc07f5462f7822ea0feeaa7ae8762435ad7cab96449bb81a6930aaf627bf3
cites cdi_FETCH-LOGICAL-c628t-e1dfbc07f5462f7822ea0feeaa7ae8762435ad7cab96449bb81a6930aaf627bf3
container_end_page e0010564
container_issue 7
container_start_page e0010564
container_title PLoS neglected tropical diseases
container_volume 16
creator Celone, Michael
Pecor, David Brooks
Potter, Alexander
Richardson, Alec
Dunford, James
Pollett, Simon
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.
doi_str_mv 10.1371/journal.pntd.0010564
format article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2703170757</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A712642473</galeid><doaj_id>oai_doaj_org_article_f14bb74e3d3c41aca26942c83086fbae</doaj_id><sourcerecordid>A712642473</sourcerecordid><originalsourceid>FETCH-LOGICAL-c628t-e1dfbc07f5462f7822ea0feeaa7ae8762435ad7cab96449bb81a6930aaf627bf3</originalsourceid><addsrcrecordid>eNptk9uO0zAQhiMEYmHhDZCwQEJcbIsPSZzcIFXLYVdaxAVwbU2cSeIqsYvtFPVpeFXcbUFbtPKFrfE3_xzsybIXjC6ZkOzd2s3ewrjc2NguKWW0KPMH2RNWi2LBpSge3jmfZU9DWFNa1EXFHmdnoqgol3n1JPu9sgS1G11vNIzEGj0gmVyLI4mObDy2RkcSk7FH13vYDEaT1oToTTNH4yxxHbkCnKB3_RzIGmwcjHXTLlyQDzvwF4TVnBEgOxxH94t0uEVPwLbkC6RrR7bGJ78t6ugSbCz55uY4kNWEPqX0LHvUwRjw-XE_z358-vj98mpx8_Xz9eXqZqFLXsUFsrZrNJVdkZe8kxXnCLRDBJCAlSx5LgpopYamLvO8bpqKQVkLCtCVXDadOM9eHnQ3owvq2NuguKSCSSoLmYjrA9E6WKuNNxP4nXJg1K3B-V6Bj0aPqDqWN43MUbRC5ww08LLOua4ErcquAUxa74_R5mbCVqONHsYT0dMbawbVu62qeV0LxpLAq4OAC9GooE1EPWhnbWqjYpUsiqpI0NtjFO9-zhiimkzQ6RnAoptTcWUlJae02uu9_g-9vwVHqodUpbGdS8npvahaScbLnOdSJGp5D5VWi5NJOWJnkv3E4c0dhwFhjENw4-33CqdgfgC1dyF47P51jFG1H4q_Wav9UKjjUIg_IAEAiA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2703170757</pqid></control><display><type>article</type><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><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>PubMed Central Free</source><creator>Celone, Michael ; Pecor, David Brooks ; Potter, Alexander ; Richardson, Alec ; Dunford, James ; Pollett, Simon</creator><contributor>Lau, Eric HY</contributor><creatorcontrib>Celone, Michael ; Pecor, David Brooks ; Potter, Alexander ; Richardson, Alec ; Dunford, James ; Pollett, Simon ; Lau, Eric HY</creatorcontrib><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.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0010564</identifier><identifier>PMID: 35802748</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Aquatic insects ; Arbovirus diseases ; Archives &amp; 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</subject><ispartof>PLoS neglected tropical diseases, 2022-07, Vol.16 (7), p.e0010564-e0010564</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c628t-e1dfbc07f5462f7822ea0feeaa7ae8762435ad7cab96449bb81a6930aaf627bf3</citedby><cites>FETCH-LOGICAL-c628t-e1dfbc07f5462f7822ea0feeaa7ae8762435ad7cab96449bb81a6930aaf627bf3</cites><orcidid>0000-0003-3039-623X ; 0000-0002-8900-3392 ; 0000-0002-7287-4722 ; 0000000272874722 ; 000000033039623X ; 0000000289003392</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2703170757/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2703170757?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1875585$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><contributor>Lau, Eric HY</contributor><creatorcontrib>Celone, Michael</creatorcontrib><creatorcontrib>Pecor, David Brooks</creatorcontrib><creatorcontrib>Potter, Alexander</creatorcontrib><creatorcontrib>Richardson, Alec</creatorcontrib><creatorcontrib>Dunford, James</creatorcontrib><creatorcontrib>Pollett, Simon</creatorcontrib><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><title>PLoS neglected tropical diseases</title><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.</description><subject>Aquatic insects</subject><subject>Arbovirus diseases</subject><subject>Archives &amp; records</subject><subject>Bioclimatology</subject><subject>Biology and Life Sciences</subject><subject>Distribution</subject><subject>Ecological distribution</subject><subject>Ecological niches</subject><subject>Ecology and Environmental Sciences</subject><subject>Entropy</subject><subject>Environmental aspects</subject><subject>Epidemics</subject><subject>Fever</subject><subject>Geographical distribution</subject><subject>Habitats</subject><subject>Haemagogus janthinomys</subject><subject>Laboratories</subject><subject>Maximum entropy</subject><subject>Medicine and Health Sciences</subject><subject>Mercury</subject><subject>Mosquitoes</subject><subject>Museums</subject><subject>Niche (Ecology)</subject><subject>Niches</subject><subject>People and places</subject><subject>Physical Sciences</subject><subject>Public health</subject><subject>Risk factors</subject><subject>Transmission</subject><subject>Tropical diseases</subject><subject>Variables</subject><subject>Vector-borne diseases</subject><subject>Viruses</subject><issn>1935-2735</issn><issn>1935-2727</issn><issn>1935-2735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptk9uO0zAQhiMEYmHhDZCwQEJcbIsPSZzcIFXLYVdaxAVwbU2cSeIqsYvtFPVpeFXcbUFbtPKFrfE3_xzsybIXjC6ZkOzd2s3ewrjc2NguKWW0KPMH2RNWi2LBpSge3jmfZU9DWFNa1EXFHmdnoqgol3n1JPu9sgS1G11vNIzEGj0gmVyLI4mObDy2RkcSk7FH13vYDEaT1oToTTNH4yxxHbkCnKB3_RzIGmwcjHXTLlyQDzvwF4TVnBEgOxxH94t0uEVPwLbkC6RrR7bGJ78t6ugSbCz55uY4kNWEPqX0LHvUwRjw-XE_z358-vj98mpx8_Xz9eXqZqFLXsUFsrZrNJVdkZe8kxXnCLRDBJCAlSx5LgpopYamLvO8bpqKQVkLCtCVXDadOM9eHnQ3owvq2NuguKSCSSoLmYjrA9E6WKuNNxP4nXJg1K3B-V6Bj0aPqDqWN43MUbRC5ww08LLOua4ErcquAUxa74_R5mbCVqONHsYT0dMbawbVu62qeV0LxpLAq4OAC9GooE1EPWhnbWqjYpUsiqpI0NtjFO9-zhiimkzQ6RnAoptTcWUlJae02uu9_g-9vwVHqodUpbGdS8npvahaScbLnOdSJGp5D5VWi5NJOWJnkv3E4c0dhwFhjENw4-33CqdgfgC1dyF47P51jFG1H4q_Wav9UKjjUIg_IAEAiA</recordid><startdate>20220708</startdate><enddate>20220708</enddate><creator>Celone, Michael</creator><creator>Pecor, David Brooks</creator><creator>Potter, Alexander</creator><creator>Richardson, Alec</creator><creator>Dunford, James</creator><creator>Pollett, Simon</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SS</scope><scope>7T2</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>H95</scope><scope>H97</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>OTOTI</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3039-623X</orcidid><orcidid>https://orcid.org/0000-0002-8900-3392</orcidid><orcidid>https://orcid.org/0000-0002-7287-4722</orcidid><orcidid>https://orcid.org/0000000272874722</orcidid><orcidid>https://orcid.org/000000033039623X</orcidid><orcidid>https://orcid.org/0000000289003392</orcidid></search><sort><creationdate>20220708</creationdate><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><author>Celone, Michael ; Pecor, David Brooks ; Potter, Alexander ; Richardson, Alec ; Dunford, James ; Pollett, Simon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c628t-e1dfbc07f5462f7822ea0feeaa7ae8762435ad7cab96449bb81a6930aaf627bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aquatic insects</topic><topic>Arbovirus diseases</topic><topic>Archives &amp; records</topic><topic>Bioclimatology</topic><topic>Biology and Life Sciences</topic><topic>Distribution</topic><topic>Ecological distribution</topic><topic>Ecological niches</topic><topic>Ecology and Environmental Sciences</topic><topic>Entropy</topic><topic>Environmental aspects</topic><topic>Epidemics</topic><topic>Fever</topic><topic>Geographical distribution</topic><topic>Habitats</topic><topic>Haemagogus janthinomys</topic><topic>Laboratories</topic><topic>Maximum entropy</topic><topic>Medicine and Health Sciences</topic><topic>Mercury</topic><topic>Mosquitoes</topic><topic>Museums</topic><topic>Niche (Ecology)</topic><topic>Niches</topic><topic>People and places</topic><topic>Physical Sciences</topic><topic>Public health</topic><topic>Risk factors</topic><topic>Transmission</topic><topic>Tropical diseases</topic><topic>Variables</topic><topic>Vector-borne diseases</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Celone, Michael</creatorcontrib><creatorcontrib>Pecor, David Brooks</creatorcontrib><creatorcontrib>Potter, Alexander</creatorcontrib><creatorcontrib>Richardson, Alec</creatorcontrib><creatorcontrib>Dunford, James</creatorcontrib><creatorcontrib>Pollett, Simon</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>PHMC-Proquest健康医学期刊库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS neglected tropical diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Celone, Michael</au><au>Pecor, David Brooks</au><au>Potter, Alexander</au><au>Richardson, Alec</au><au>Dunford, James</au><au>Pollett, Simon</au><au>Lau, Eric HY</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America</atitle><jtitle>PLoS neglected tropical diseases</jtitle><date>2022-07-08</date><risdate>2022</risdate><volume>16</volume><issue>7</issue><spage>e0010564</spage><epage>e0010564</epage><pages>e0010564-e0010564</pages><issn>1935-2735</issn><issn>1935-2727</issn><eissn>1935-2735</eissn><abstract>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.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>35802748</pmid><doi>10.1371/journal.pntd.0010564</doi><orcidid>https://orcid.org/0000-0003-3039-623X</orcidid><orcidid>https://orcid.org/0000-0002-8900-3392</orcidid><orcidid>https://orcid.org/0000-0002-7287-4722</orcidid><orcidid>https://orcid.org/0000000272874722</orcidid><orcidid>https://orcid.org/000000033039623X</orcidid><orcidid>https://orcid.org/0000000289003392</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1935-2735
ispartof PLoS neglected tropical diseases, 2022-07, Vol.16 (7), p.e0010564-e0010564
issn 1935-2735
1935-2727
1935-2735
language eng
recordid cdi_plos_journals_2703170757
source Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central Free
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
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T15%3A59%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20ecological%20niche%20model%20to%20predict%20the%20geographic%20distribution%20of%20Haemagogus%20janthinomys,%20Dyar,%201921%20a%20yellow%20fever%20and%20Mayaro%20virus%20vector,%20in%20South%20America&rft.jtitle=PLoS%20neglected%20tropical%20diseases&rft.au=Celone,%20Michael&rft.date=2022-07-08&rft.volume=16&rft.issue=7&rft.spage=e0010564&rft.epage=e0010564&rft.pages=e0010564-e0010564&rft.issn=1935-2735&rft.eissn=1935-2735&rft_id=info:doi/10.1371/journal.pntd.0010564&rft_dat=%3Cgale_plos_%3EA712642473%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c628t-e1dfbc07f5462f7822ea0feeaa7ae8762435ad7cab96449bb81a6930aaf627bf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2703170757&rft_id=info:pmid/35802748&rft_galeid=A712642473&rfr_iscdi=true