Cargando…

Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens

The rising prevalence of tick-borne diseases in humans in recent decades has called attention to the need for more information on geographic risk for public health planning. Species distribution models (SDMs) are an increasingly utilized method of constructing potential geographic ranges. There are...

Descripción completa

Detalles Bibliográficos
Autores principales: Lippi, Catherine A., Gaff, Holly D., White, Alexis L., Ryan, Sadie J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896504/
https://www.ncbi.nlm.nih.gov/pubmed/33643699
http://dx.doi.org/10.7717/peerj.10596
_version_ 1783653556720500736
author Lippi, Catherine A.
Gaff, Holly D.
White, Alexis L.
Ryan, Sadie J.
author_facet Lippi, Catherine A.
Gaff, Holly D.
White, Alexis L.
Ryan, Sadie J.
author_sort Lippi, Catherine A.
collection PubMed
description The rising prevalence of tick-borne diseases in humans in recent decades has called attention to the need for more information on geographic risk for public health planning. Species distribution models (SDMs) are an increasingly utilized method of constructing potential geographic ranges. There are many knowledge gaps in our understanding of risk of exposure to tick-borne pathogens, particularly for those in the rickettsial group. Here, we conducted a systematic scoping review of the SDM literature for rickettsial pathogens and tick vectors in the genus Amblyomma. Of the 174 reviewed articles, only 24 studies used SDMs to estimate the potential extent of vector and/or pathogen ranges. The majority of studies (79%) estimated only tick distributions using vector presence as a proxy for pathogen exposure. Studies were conducted at different scales and across multiple continents. Few studies undertook original data collection, and SDMs were mostly built with presence-only datasets from public database or surveillance sources. The reliance on existing data sources, using ticks as a proxy for disease risk, may simply reflect a lag in new data acquisition and a thorough understanding of the tick-pathogen ecology involved.
format Online
Article
Text
id pubmed-7896504
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-78965042021-02-25 Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens Lippi, Catherine A. Gaff, Holly D. White, Alexis L. Ryan, Sadie J. PeerJ Ecology The rising prevalence of tick-borne diseases in humans in recent decades has called attention to the need for more information on geographic risk for public health planning. Species distribution models (SDMs) are an increasingly utilized method of constructing potential geographic ranges. There are many knowledge gaps in our understanding of risk of exposure to tick-borne pathogens, particularly for those in the rickettsial group. Here, we conducted a systematic scoping review of the SDM literature for rickettsial pathogens and tick vectors in the genus Amblyomma. Of the 174 reviewed articles, only 24 studies used SDMs to estimate the potential extent of vector and/or pathogen ranges. The majority of studies (79%) estimated only tick distributions using vector presence as a proxy for pathogen exposure. Studies were conducted at different scales and across multiple continents. Few studies undertook original data collection, and SDMs were mostly built with presence-only datasets from public database or surveillance sources. The reliance on existing data sources, using ticks as a proxy for disease risk, may simply reflect a lag in new data acquisition and a thorough understanding of the tick-pathogen ecology involved. PeerJ Inc. 2021-02-17 /pmc/articles/PMC7896504/ /pubmed/33643699 http://dx.doi.org/10.7717/peerj.10596 Text en © 2021 Lippi et al. https://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by-nc/4.0) , which permits using, remixing, and building upon the work non-commercially, as long as it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecology
Lippi, Catherine A.
Gaff, Holly D.
White, Alexis L.
Ryan, Sadie J.
Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens
title Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens
title_full Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens
title_fullStr Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens
title_full_unstemmed Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens
title_short Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens
title_sort scoping review of distribution models for selected amblyomma ticks and rickettsial group pathogens
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896504/
https://www.ncbi.nlm.nih.gov/pubmed/33643699
http://dx.doi.org/10.7717/peerj.10596
work_keys_str_mv AT lippicatherinea scopingreviewofdistributionmodelsforselectedamblyommaticksandrickettsialgrouppathogens
AT gaffhollyd scopingreviewofdistributionmodelsforselectedamblyommaticksandrickettsialgrouppathogens
AT whitealexisl scopingreviewofdistributionmodelsforselectedamblyommaticksandrickettsialgrouppathogens
AT ryansadiej scopingreviewofdistributionmodelsforselectedamblyommaticksandrickettsialgrouppathogens