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Spatio-temporal and transmission dynamics of sarcoptic mange in an endangered New World kit fox

Sarcoptic mange poses a serious conservation threat to endangered San Joaquin kit foxes (Vulpes macrotis mutica). After first appearing in Bakersfield, California in spring 2013, mange reduced the kit fox population approximately 50% until the epidemic ended with minimally detectable endemic cases a...

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Autores principales: Foley, Patrick, Foley, Janet, Rudd, Jaime, Clifford, Deana, Westall, Tory, Cypher, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934372/
https://www.ncbi.nlm.nih.gov/pubmed/36795734
http://dx.doi.org/10.1371/journal.pone.0280283
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author Foley, Patrick
Foley, Janet
Rudd, Jaime
Clifford, Deana
Westall, Tory
Cypher, Brian
author_facet Foley, Patrick
Foley, Janet
Rudd, Jaime
Clifford, Deana
Westall, Tory
Cypher, Brian
author_sort Foley, Patrick
collection PubMed
description Sarcoptic mange poses a serious conservation threat to endangered San Joaquin kit foxes (Vulpes macrotis mutica). After first appearing in Bakersfield, California in spring 2013, mange reduced the kit fox population approximately 50% until the epidemic ended with minimally detectable endemic cases after 2020. Mange is lethal and thus, with such a high force of infection and lack of immunity, it remains unclear why the epidemic did not burn itself out rapidly and how it persisted so long. Here we explored spatio-temporal patterns of the epidemic, analyzed historical movement data, and created a compartment metapopulation model (named “metaseir”) to evaluate whether movement of foxes among patches and spatial heterogeneity would reproduce the eight years epidemic with 50% population reduction observed in Bakersfield. Our main findings from metaseir were that: 1) a simple metapopulation model can capture the Bakersfield-like disease epidemic dynamics even when there is no environmental reservoir or external spillover host, 2) the most impactful parameter on persistence and magnitude of the epidemic is the projection, β/α(β) (transmission over decay rate of transmission over space), 3) heterogeneity in patch carrying capacities changes the critical value of the projection needed to achieve an epidemic but makes little difference to epidemic persistence time, and 4) the epidemic is relatively insensitive to birth rates and density vs. frequency-dependent transmission. Our model can help guide management and assessment of metapopulation viability of this vulpid subspecies, while the exploratory data analysis and model will also be valuable to understand mange in other, particularly den-occupying, species.
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spelling pubmed-99343722023-02-17 Spatio-temporal and transmission dynamics of sarcoptic mange in an endangered New World kit fox Foley, Patrick Foley, Janet Rudd, Jaime Clifford, Deana Westall, Tory Cypher, Brian PLoS One Research Article Sarcoptic mange poses a serious conservation threat to endangered San Joaquin kit foxes (Vulpes macrotis mutica). After first appearing in Bakersfield, California in spring 2013, mange reduced the kit fox population approximately 50% until the epidemic ended with minimally detectable endemic cases after 2020. Mange is lethal and thus, with such a high force of infection and lack of immunity, it remains unclear why the epidemic did not burn itself out rapidly and how it persisted so long. Here we explored spatio-temporal patterns of the epidemic, analyzed historical movement data, and created a compartment metapopulation model (named “metaseir”) to evaluate whether movement of foxes among patches and spatial heterogeneity would reproduce the eight years epidemic with 50% population reduction observed in Bakersfield. Our main findings from metaseir were that: 1) a simple metapopulation model can capture the Bakersfield-like disease epidemic dynamics even when there is no environmental reservoir or external spillover host, 2) the most impactful parameter on persistence and magnitude of the epidemic is the projection, β/α(β) (transmission over decay rate of transmission over space), 3) heterogeneity in patch carrying capacities changes the critical value of the projection needed to achieve an epidemic but makes little difference to epidemic persistence time, and 4) the epidemic is relatively insensitive to birth rates and density vs. frequency-dependent transmission. Our model can help guide management and assessment of metapopulation viability of this vulpid subspecies, while the exploratory data analysis and model will also be valuable to understand mange in other, particularly den-occupying, species. Public Library of Science 2023-02-16 /pmc/articles/PMC9934372/ /pubmed/36795734 http://dx.doi.org/10.1371/journal.pone.0280283 Text en © 2023 Foley et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Foley, Patrick
Foley, Janet
Rudd, Jaime
Clifford, Deana
Westall, Tory
Cypher, Brian
Spatio-temporal and transmission dynamics of sarcoptic mange in an endangered New World kit fox
title Spatio-temporal and transmission dynamics of sarcoptic mange in an endangered New World kit fox
title_full Spatio-temporal and transmission dynamics of sarcoptic mange in an endangered New World kit fox
title_fullStr Spatio-temporal and transmission dynamics of sarcoptic mange in an endangered New World kit fox
title_full_unstemmed Spatio-temporal and transmission dynamics of sarcoptic mange in an endangered New World kit fox
title_short Spatio-temporal and transmission dynamics of sarcoptic mange in an endangered New World kit fox
title_sort spatio-temporal and transmission dynamics of sarcoptic mange in an endangered new world kit fox
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934372/
https://www.ncbi.nlm.nih.gov/pubmed/36795734
http://dx.doi.org/10.1371/journal.pone.0280283
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