Literature DB >> 28711261

The effect of Mycobacterium avium ssp. paratuberculosis infection on clinical mastitis occurrence in dairy cows.

G Rossi1, Y T Grohn2, Y H Schukken3, R L Smith4.   

Abstract

Endemic diseases can be counted among the most serious sources of losses for livestock production. In dairy farms in particular, one of the most common diseases is Johne's disease, caused by Mycobacterium avium ssp. paratuberculosis (MAP). Infection with MAP causes direct costs because it affects milk production, but it has also been suspected to increase the risk of clinical mastitis (CM) among infected animals. This might contribute to further costs for farmers. We asked whether MAP infection represents a risk factor for CM and, in particular, whether CM occurrences were more common in MAP-infected animals. Our results, obtained by survival analysis, suggest that MAP-infected cows had an increased probability of experiencing CM during lactation. These results highlight the need to account for the interplay of infectious diseases and other health conditions in economic and epidemiological modeling. In this case, accounting for MAP-infected cows having an increased CM occurrence might have nonnegligible effects on the estimated benefit of MAP control.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Johne's disease; Mycobacterium avium ssp. paratuberculosis; clinical mastitis; comorbidity; dairy farm

Mesh:

Year:  2017        PMID: 28711261     DOI: 10.3168/jds.2017-12721

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  3 in total

Review 1.  Control of paratuberculosis: who, why and how. A review of 48 countries.

Authors:  Richard Whittington; Karsten Donat; Maarten F Weber; David Kelton; Søren Saxmose Nielsen; Suzanne Eisenberg; Norma Arrigoni; Ramon Juste; Jose Luis Sáez; Navneet Dhand; Annalisa Santi; Anita Michel; Herman Barkema; Petr Kralik; Polychronis Kostoulas; Lorna Citer; Frank Griffin; Rob Barwell; Maria Aparecida Scatamburlo Moreira; Iva Slana; Heike Koehler; Shoor Vir Singh; Han Sang Yoo; Gilberto Chávez-Gris; Amador Goodridge; Matjaz Ocepek; Joseba Garrido; Karen Stevenson; Mike Collins; Bernardo Alonso; Karina Cirone; Fernando Paolicchi; Lawrence Gavey; Md Tanvir Rahman; Emmanuelle de Marchin; Willem Van Praet; Cathy Bauman; Gilles Fecteau; Shawn McKenna; Miguel Salgado; Jorge Fernández-Silva; Radka Dziedzinska; Gustavo Echeverría; Jaana Seppänen; Virginie Thibault; Vala Fridriksdottir; Abdolah Derakhshandeh; Masoud Haghkhah; Luigi Ruocco; Satoko Kawaji; Eiichi Momotani; Cord Heuer; Solis Norton; Simeon Cadmus; Angelika Agdestein; Annette Kampen; Joanna Szteyn; Jenny Frössling; Ebba Schwan; George Caldow; Sam Strain; Mike Carter; Scott Wells; Musso Munyeme; Robert Wolf; Ratna Gurung; Cristobal Verdugo; Christine Fourichon; Takehisa Yamamoto; Sharada Thapaliya; Elena Di Labio; Monaya Ekgatat; Andres Gil; Alvaro Nuñez Alesandre; José Piaggio; Alejandra Suanes; Jacobus H de Waard
Journal:  BMC Vet Res       Date:  2019-06-13       Impact factor: 2.741

2.  Mastitis risk effect on the economic consequences of paratuberculosis control in dairy cattle: A stochastic modeling study.

Authors:  Leslie J Verteramo Chiu; Loren W Tauer; Yrjo T Gröhn; Rebecca L Smith
Journal:  PLoS One       Date:  2019-09-26       Impact factor: 3.240

3.  Estimating the burden of multiple endemic diseases and health conditions using Bayes' Theorem: A conditional probability model applied to UK dairy cattle.

Authors:  Philip Rasmussen; Alexandra P M Shaw; Violeta Muñoz; Mieghan Bruce; Paul R Torgerson
Journal:  Prev Vet Med       Date:  2022-03-28       Impact factor: 3.372

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.