The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an Example

The literature contains an extensive panel of studies focusing on the costs of animal diseases. The losses of an agriculture holding can be influenced by many factors since farming is a complex system and diseases are closely interrelated. Meta-analysis can be used to detect effects (i.e., change in...

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Main Authors: Didier Raboisson, Ahmed Ferchiou, Beate Pinior, Thomas Gautier, Pierre Sans, Guillaume Lhermie
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Veterinary Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fvets.2020.00149/full
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author Didier Raboisson
Ahmed Ferchiou
Beate Pinior
Thomas Gautier
Pierre Sans
Guillaume Lhermie
author_facet Didier Raboisson
Ahmed Ferchiou
Beate Pinior
Thomas Gautier
Pierre Sans
Guillaume Lhermie
author_sort Didier Raboisson
collection DOAJ
description The literature contains an extensive panel of studies focusing on the costs of animal diseases. The losses of an agriculture holding can be influenced by many factors since farming is a complex system and diseases are closely interrelated. Meta-analysis can be used to detect effects (i.e., change in clinical mastitis losses here) across studies and to identify factors that may influence those effects. This includes the external validity of the published study results with regard to the input parameters and the internal validity of the study, particularly how other diseases related to the target disease were accounted for. Mixed-effect meta-regressions were performed to estimate the mean clinical mastitis losses per case across the literature and to elucidate to what extent clinical mastitis losses are influenced by (i) general factors, such as etiology; (ii) the types of losses that contribute to the total mastitis losses; and (iii) prices. In total, 82 observations from nine studies were included in the meta-analysis to assess mean clinical mastitis losses per case. The multivariate meta-regression showed that etiology significantly influenced the clinical mastitis loss per case. The mean loss was determined to be €224 per case for all published etiologies. In detail, mean losses equalled €457 and €101 per case of clinical mastitis due to gram-negative and gram-positive bacteria, respectively, and €428 and €74 per case of clinical mastitis due to Escherichia coli and Staphylococcus aureus, respectively. Additionally, the mean loss obtained depended on whether diagnostic costs and reduced feed intake in cases of mastitis were included in the clinical mastitis loss calculation. The monetary values of labor cost, drug cost and culling cost, as well as treatment price (all included), significantly influenced the clinical mastitis losses per case. All other tested moderators were not associated with mastitis losses, highlighting the need for more standardized economic studies, for both methods and ways results are presented, and suggesting that the mastitis losses assessed in the literature cannot be extrapolated (limited external validity). Although meta-analyses are useful to overview the burden of diseases across studies, their ability to summarize extensive literature with various economic assessments is limited. These limitations in loss assessments also suggest the need to focus on management strategies rather than on pure monetary estimations of disease costs, at least for production diseases at the farm level.
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spelling doaj.art-99758654b070493292f184accd1edb2d2022-12-22T01:28:03ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692020-03-01710.3389/fvets.2020.00149519120The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an ExampleDidier Raboisson0Ahmed Ferchiou1Beate Pinior2Thomas Gautier3Pierre Sans4Guillaume Lhermie5IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, FranceIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, FranceFood Technology and Veterinary Public Health, Institute of Food Safety, University of Veterinary Medicine Vienna, Vienna, AustriaIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, FranceALISS, INRAE, Ivry-sur-Seine, ENVT, Toulouse, FranceIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, FranceThe literature contains an extensive panel of studies focusing on the costs of animal diseases. The losses of an agriculture holding can be influenced by many factors since farming is a complex system and diseases are closely interrelated. Meta-analysis can be used to detect effects (i.e., change in clinical mastitis losses here) across studies and to identify factors that may influence those effects. This includes the external validity of the published study results with regard to the input parameters and the internal validity of the study, particularly how other diseases related to the target disease were accounted for. Mixed-effect meta-regressions were performed to estimate the mean clinical mastitis losses per case across the literature and to elucidate to what extent clinical mastitis losses are influenced by (i) general factors, such as etiology; (ii) the types of losses that contribute to the total mastitis losses; and (iii) prices. In total, 82 observations from nine studies were included in the meta-analysis to assess mean clinical mastitis losses per case. The multivariate meta-regression showed that etiology significantly influenced the clinical mastitis loss per case. The mean loss was determined to be €224 per case for all published etiologies. In detail, mean losses equalled €457 and €101 per case of clinical mastitis due to gram-negative and gram-positive bacteria, respectively, and €428 and €74 per case of clinical mastitis due to Escherichia coli and Staphylococcus aureus, respectively. Additionally, the mean loss obtained depended on whether diagnostic costs and reduced feed intake in cases of mastitis were included in the clinical mastitis loss calculation. The monetary values of labor cost, drug cost and culling cost, as well as treatment price (all included), significantly influenced the clinical mastitis losses per case. All other tested moderators were not associated with mastitis losses, highlighting the need for more standardized economic studies, for both methods and ways results are presented, and suggesting that the mastitis losses assessed in the literature cannot be extrapolated (limited external validity). Although meta-analyses are useful to overview the burden of diseases across studies, their ability to summarize extensive literature with various economic assessments is limited. These limitations in loss assessments also suggest the need to focus on management strategies rather than on pure monetary estimations of disease costs, at least for production diseases at the farm level.https://www.frontiersin.org/article/10.3389/fvets.2020.00149/fullclinical mastitiseconomicsetiologymeta-analysisdairy cows
spellingShingle Didier Raboisson
Ahmed Ferchiou
Beate Pinior
Thomas Gautier
Pierre Sans
Guillaume Lhermie
The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an Example
Frontiers in Veterinary Science
clinical mastitis
economics
etiology
meta-analysis
dairy cows
title The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an Example
title_full The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an Example
title_fullStr The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an Example
title_full_unstemmed The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an Example
title_short The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an Example
title_sort use of meta analysis for the measurement of animal disease burden losses due to clinical mastitis as an example
topic clinical mastitis
economics
etiology
meta-analysis
dairy cows
url https://www.frontiersin.org/article/10.3389/fvets.2020.00149/full
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