Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country

Abstract Bovine tuberculosis (bTB) is a chronic disease of cattle that is difficult to control and eradicate in part due to the costly nature of surveillance and poor sensitivity of diagnostic tests. Like many countries, bTB prevalence in Uruguay has gradually declined to low levels due to intensive...

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Autores principales:	Kimberly VanderWaal, Eva A. Enns, Catalina Picasso, Julio Alvarez, Andres Perez, Federico Fernandez, Andres Gil, Meggan Craft, Scott Wells
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e601c382570241228c3cc22c4d91ab0c
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spelling	oai:doaj.org-article:e601c382570241228c3cc22c4d91ab0c2021-12-02T12:32:19ZOptimal surveillance strategies for bovine tuberculosis in a low-prevalence country10.1038/s41598-017-04466-22045-2322https://doaj.org/article/e601c382570241228c3cc22c4d91ab0c2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04466-2https://doaj.org/toc/2045-2322Abstract Bovine tuberculosis (bTB) is a chronic disease of cattle that is difficult to control and eradicate in part due to the costly nature of surveillance and poor sensitivity of diagnostic tests. Like many countries, bTB prevalence in Uruguay has gradually declined to low levels due to intensive surveillance and control efforts over the past decades. In low prevalence settings, broad-based surveillance strategies based on routine testing may not be the most cost-effective way for controlling between-farm bTB transmission, while targeted surveillance aimed at high-risk farms may be more efficient for this purpose. To investigate the efficacy of targeted surveillance, we developed an integrated within- and between-farm bTB transmission model utilizing data from Uruguay’s comprehensive animal movement database. A genetic algorithm was used to fit uncertain parameter values, such as the animal-level sensitivity of skin testing and slaughter inspection, to observed bTB epidemiological data. Of ten alternative surveillance strategies evaluated, a strategy based on eliminating testing in low-risk farms resulted in a 40% reduction in sampling effort without increasing bTB incidence. These results can inform the design of more cost-effective surveillance programs to detect and control bTB in Uruguay and other countries with low bTB prevalence.Kimberly VanderWaalEva A. EnnsCatalina PicassoJulio AlvarezAndres PerezFederico FernandezAndres GilMeggan CraftScott WellsNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kimberly VanderWaal Eva A. Enns Catalina Picasso Julio Alvarez Andres Perez Federico Fernandez Andres Gil Meggan Craft Scott Wells Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country
description	Abstract Bovine tuberculosis (bTB) is a chronic disease of cattle that is difficult to control and eradicate in part due to the costly nature of surveillance and poor sensitivity of diagnostic tests. Like many countries, bTB prevalence in Uruguay has gradually declined to low levels due to intensive surveillance and control efforts over the past decades. In low prevalence settings, broad-based surveillance strategies based on routine testing may not be the most cost-effective way for controlling between-farm bTB transmission, while targeted surveillance aimed at high-risk farms may be more efficient for this purpose. To investigate the efficacy of targeted surveillance, we developed an integrated within- and between-farm bTB transmission model utilizing data from Uruguay’s comprehensive animal movement database. A genetic algorithm was used to fit uncertain parameter values, such as the animal-level sensitivity of skin testing and slaughter inspection, to observed bTB epidemiological data. Of ten alternative surveillance strategies evaluated, a strategy based on eliminating testing in low-risk farms resulted in a 40% reduction in sampling effort without increasing bTB incidence. These results can inform the design of more cost-effective surveillance programs to detect and control bTB in Uruguay and other countries with low bTB prevalence.
format	article
author	Kimberly VanderWaal Eva A. Enns Catalina Picasso Julio Alvarez Andres Perez Federico Fernandez Andres Gil Meggan Craft Scott Wells
author_facet	Kimberly VanderWaal Eva A. Enns Catalina Picasso Julio Alvarez Andres Perez Federico Fernandez Andres Gil Meggan Craft Scott Wells
author_sort	Kimberly VanderWaal
title	Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country
title_short	Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country
title_full	Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country
title_fullStr	Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country
title_full_unstemmed	Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country
title_sort	optimal surveillance strategies for bovine tuberculosis in a low-prevalence country
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/e601c382570241228c3cc22c4d91ab0c
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Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country

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