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Framework for Estimating Indirect Costs in Animal Health Using Time Series Analysis

Traditionally, cost-benefit analyses (CBAs) focus on the direct costs of animal disease, including animal mortality, morbidity, and associated response costs. However, such approaches often fail to capture the wider, dynamic market impacts that could arise. The duration of these market dislocations...

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Autores principales: Barratt, Alyson S., Rich, Karl M., Eze, Jude I., Porphyre, Thibaud, Gunn, George J., Stott, Alistair W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592220/
https://www.ncbi.nlm.nih.gov/pubmed/31275949
http://dx.doi.org/10.3389/fvets.2019.00190
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author Barratt, Alyson S.
Rich, Karl M.
Eze, Jude I.
Porphyre, Thibaud
Gunn, George J.
Stott, Alistair W.
author_facet Barratt, Alyson S.
Rich, Karl M.
Eze, Jude I.
Porphyre, Thibaud
Gunn, George J.
Stott, Alistair W.
author_sort Barratt, Alyson S.
collection PubMed
description Traditionally, cost-benefit analyses (CBAs) focus on the direct costs of animal disease, including animal mortality, morbidity, and associated response costs. However, such approaches often fail to capture the wider, dynamic market impacts that could arise. The duration of these market dislocations could last well after an initial disease outbreak. More generally, current approaches also muddle definitions of indirect costs, confusing debate on the scope of the totalities of disease-induced economic impacts. The aim of this work was to clarify definitions of indirect costs in the context of animal diseases and to apply this definition to a time series methodological framework to estimate the indirect costs of animal disease control strategies, using a foot and mouth disease (FMD) outbreak in Scotland as a case study. Time series analysis is an econometric method for analyzing statistical relationships between data series over time, thus allowing insights into how market dynamics may change following a disease outbreak. First an epidemiological model simulated FMD disease dynamics based on alternative control strategies. Output from the epidemiological model was used to quantify direct costs and applied in a multivariate vector error correction model to quantify the indirect costs of alternative vaccine stock strategies as a result of FMD. Indirect costs were defined as the economic losses incurred in markets after disease freedom is declared. As such, our definition of indirect costs captures the knock-on price and quantity effects in six agricultural markets after a disease outbreak. Our results suggest that controlling a FMD epidemic with vaccination is less costly in direct and indirect costs relative to a no vaccination (i.e., “cull only”) strategy, when considering large FMD outbreaks in Scotland. Our research clarifies and provides a framework for estimating indirect costs, which is applicable to both exotic and endemic diseases. Standard accounting CBAs only capture activities in isolation, ignore linkages across sectors, and do not consider price effects. However, our framework not only delineates when indirect costs start, but also captures the wider knock-on price effects between sectors, which are often omitted from CBAs but are necessary to support decision-making in animal disease prevention and control strategies.
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spelling pubmed-65922202019-07-02 Framework for Estimating Indirect Costs in Animal Health Using Time Series Analysis Barratt, Alyson S. Rich, Karl M. Eze, Jude I. Porphyre, Thibaud Gunn, George J. Stott, Alistair W. Front Vet Sci Veterinary Science Traditionally, cost-benefit analyses (CBAs) focus on the direct costs of animal disease, including animal mortality, morbidity, and associated response costs. However, such approaches often fail to capture the wider, dynamic market impacts that could arise. The duration of these market dislocations could last well after an initial disease outbreak. More generally, current approaches also muddle definitions of indirect costs, confusing debate on the scope of the totalities of disease-induced economic impacts. The aim of this work was to clarify definitions of indirect costs in the context of animal diseases and to apply this definition to a time series methodological framework to estimate the indirect costs of animal disease control strategies, using a foot and mouth disease (FMD) outbreak in Scotland as a case study. Time series analysis is an econometric method for analyzing statistical relationships between data series over time, thus allowing insights into how market dynamics may change following a disease outbreak. First an epidemiological model simulated FMD disease dynamics based on alternative control strategies. Output from the epidemiological model was used to quantify direct costs and applied in a multivariate vector error correction model to quantify the indirect costs of alternative vaccine stock strategies as a result of FMD. Indirect costs were defined as the economic losses incurred in markets after disease freedom is declared. As such, our definition of indirect costs captures the knock-on price and quantity effects in six agricultural markets after a disease outbreak. Our results suggest that controlling a FMD epidemic with vaccination is less costly in direct and indirect costs relative to a no vaccination (i.e., “cull only”) strategy, when considering large FMD outbreaks in Scotland. Our research clarifies and provides a framework for estimating indirect costs, which is applicable to both exotic and endemic diseases. Standard accounting CBAs only capture activities in isolation, ignore linkages across sectors, and do not consider price effects. However, our framework not only delineates when indirect costs start, but also captures the wider knock-on price effects between sectors, which are often omitted from CBAs but are necessary to support decision-making in animal disease prevention and control strategies. Frontiers Media S.A. 2019-06-18 /pmc/articles/PMC6592220/ /pubmed/31275949 http://dx.doi.org/10.3389/fvets.2019.00190 Text en Copyright © 2019 Barratt, Rich, Eze, Porphyre, Gunn and Stott. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Barratt, Alyson S.
Rich, Karl M.
Eze, Jude I.
Porphyre, Thibaud
Gunn, George J.
Stott, Alistair W.
Framework for Estimating Indirect Costs in Animal Health Using Time Series Analysis
title Framework for Estimating Indirect Costs in Animal Health Using Time Series Analysis
title_full Framework for Estimating Indirect Costs in Animal Health Using Time Series Analysis
title_fullStr Framework for Estimating Indirect Costs in Animal Health Using Time Series Analysis
title_full_unstemmed Framework for Estimating Indirect Costs in Animal Health Using Time Series Analysis
title_short Framework for Estimating Indirect Costs in Animal Health Using Time Series Analysis
title_sort framework for estimating indirect costs in animal health using time series analysis
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592220/
https://www.ncbi.nlm.nih.gov/pubmed/31275949
http://dx.doi.org/10.3389/fvets.2019.00190
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