Modelling the Unidentified Abortion Burden from Four Infectious Pathogenic Microorganisms (<i>Leptospira interrogans</i>, <i>Brucella abortus</i>, <i>Brucella ovis</i>, and <i>Chlamydia abortus</i>) in Ewes Based on Artificial Neural Networks Approach: The Epidemiological Basis for a Control Policy

Modelling the Unidentified Abortion Burden from Four Infectious Pathogenic Microorganisms (<i>Leptospira interrogans</i>, <i>Brucella abortus</i>, <i>Brucella ovis</i>, and <i>Chlamydia abortus</i>) in Ewes Based on Artificial Neural Networks Approach: The Epidemiological Basis for a Control Policy

Unidentified abortion, of which leptospirosis, brucellosis, and ovine enzootic abortion are important factors, is the main cause of disease spread between animals and humans in all agricultural systems in most developing countries. Although there are well-defined risk factors for these diseases, the...

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Bibliographic Details
Main Authors: Gabriel Arteaga-Troncoso, Miguel Luna-Alvarez, Laura Hernández-Andrade, Juan Manuel Jiménez-Estrada, Víctor Sánchez-Cordero, Francisco Botello, Roberto Montes de Oca-Jiménez, Marcela López-Hurtado, Fernando M. Guerra-Infante
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Animals
Subjects:
machine learning
<i>Leptospira</i> spp.
smooth <i>Brucella</i> spp.
<i>Brucella ovis</i>
<i>Chlamydia abortus</i>
zoonoses
Online Access:https://www.mdpi.com/2076-2615/13/18/2955

Internet

https://www.mdpi.com/2076-2615/13/18/2955

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