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Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois

We updated the Illinois historical (1905–December 2017) distribution and status (not reported, reported or established) maps for Amblyomma americanum (L.) (Acari: Ixodidae), Dermacentor variabilis (Say) (Acari: Ixodidae), and Ixodes scapularis (Say) (Acari: Ixodidae) by compiling publicly available,...

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Autores principales: Gilliam, Beth, Gronemeyer, Peg, Chakraborty, Sulagna, Winata, Fikriyah, Lyons, Lee Ann, Miller-Hunt, Catherine, Tuten, Holly C, Debosik, Samantha, Freeman, Debbie, O’hara-Ruiz, Marilyn, Mateus-Pinilla, Nohra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7197698/
https://www.ncbi.nlm.nih.gov/pubmed/31832656
http://dx.doi.org/10.1093/jme/tjz235
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author Gilliam, Beth
Gronemeyer, Peg
Chakraborty, Sulagna
Winata, Fikriyah
Lyons, Lee Ann
Miller-Hunt, Catherine
Tuten, Holly C
Debosik, Samantha
Freeman, Debbie
O’hara-Ruiz, Marilyn
Mateus-Pinilla, Nohra
author_facet Gilliam, Beth
Gronemeyer, Peg
Chakraborty, Sulagna
Winata, Fikriyah
Lyons, Lee Ann
Miller-Hunt, Catherine
Tuten, Holly C
Debosik, Samantha
Freeman, Debbie
O’hara-Ruiz, Marilyn
Mateus-Pinilla, Nohra
author_sort Gilliam, Beth
collection PubMed
description We updated the Illinois historical (1905–December 2017) distribution and status (not reported, reported or established) maps for Amblyomma americanum (L.) (Acari: Ixodidae), Dermacentor variabilis (Say) (Acari: Ixodidae), and Ixodes scapularis (Say) (Acari: Ixodidae) by compiling publicly available, previously unexplored or newly identified published and unpublished data (untapped data). Primary data sources offered specific tick-level information, followed by secondary and tertiary data sources. For A. americanum, D. variabilis, and I. scapularis, primary data contributed to 90% (4,045/4,482), 80% (2,124/2,640), and 32% (3,490/10,898) tick records vs 10%, 20%, and 68%, respectively from secondary data; primary data updated status in 95% (62/65), 94% (51/54) and in 90% (9/10) of the updated counties for each of these tick species; by 1985 there were tick records in 6%, 68%, and 0% of the counties, compared to 20%, 72%, and 58% by 2004, and 77%, 96%, and 75% of the counties by 2017, respectively for A. americanum, D. variabilis, and I. scapularis. We document the loss of tick records due to unidentified, not cataloged tick collections, unidentified ticks in tick collections, unpublished data or manuscripts without specific county location, and tick-level information, to determine distribution and status. In light of the increase in tick-borne illnesses, updates in historical distributions and status maps help researchers and health officials to identify risk areas for a tick encounter and suggest targeted areas for public outreach and surveillance efforts for ticks and tick-borne diseases. There is a need for a systematic, national vector surveillance program to support research and public health responses to tick expansions and tick-borne diseases.
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spelling pubmed-71976982020-05-07 Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois Gilliam, Beth Gronemeyer, Peg Chakraborty, Sulagna Winata, Fikriyah Lyons, Lee Ann Miller-Hunt, Catherine Tuten, Holly C Debosik, Samantha Freeman, Debbie O’hara-Ruiz, Marilyn Mateus-Pinilla, Nohra J Med Entomol Vector-Borne Diseases, Surveillance, Prevention We updated the Illinois historical (1905–December 2017) distribution and status (not reported, reported or established) maps for Amblyomma americanum (L.) (Acari: Ixodidae), Dermacentor variabilis (Say) (Acari: Ixodidae), and Ixodes scapularis (Say) (Acari: Ixodidae) by compiling publicly available, previously unexplored or newly identified published and unpublished data (untapped data). Primary data sources offered specific tick-level information, followed by secondary and tertiary data sources. For A. americanum, D. variabilis, and I. scapularis, primary data contributed to 90% (4,045/4,482), 80% (2,124/2,640), and 32% (3,490/10,898) tick records vs 10%, 20%, and 68%, respectively from secondary data; primary data updated status in 95% (62/65), 94% (51/54) and in 90% (9/10) of the updated counties for each of these tick species; by 1985 there were tick records in 6%, 68%, and 0% of the counties, compared to 20%, 72%, and 58% by 2004, and 77%, 96%, and 75% of the counties by 2017, respectively for A. americanum, D. variabilis, and I. scapularis. We document the loss of tick records due to unidentified, not cataloged tick collections, unidentified ticks in tick collections, unpublished data or manuscripts without specific county location, and tick-level information, to determine distribution and status. In light of the increase in tick-borne illnesses, updates in historical distributions and status maps help researchers and health officials to identify risk areas for a tick encounter and suggest targeted areas for public outreach and surveillance efforts for ticks and tick-borne diseases. There is a need for a systematic, national vector surveillance program to support research and public health responses to tick expansions and tick-borne diseases. Oxford University Press 2020-05 2019-12-13 /pmc/articles/PMC7197698/ /pubmed/31832656 http://dx.doi.org/10.1093/jme/tjz235 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Vector-Borne Diseases, Surveillance, Prevention
Gilliam, Beth
Gronemeyer, Peg
Chakraborty, Sulagna
Winata, Fikriyah
Lyons, Lee Ann
Miller-Hunt, Catherine
Tuten, Holly C
Debosik, Samantha
Freeman, Debbie
O’hara-Ruiz, Marilyn
Mateus-Pinilla, Nohra
Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois
title Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois
title_full Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois
title_fullStr Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois
title_full_unstemmed Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois
title_short Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois
title_sort impact of unexplored data sources on the historical distribution of three vector tick species in illinois
topic Vector-Borne Diseases, Surveillance, Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7197698/
https://www.ncbi.nlm.nih.gov/pubmed/31832656
http://dx.doi.org/10.1093/jme/tjz235
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