Advances in Endemic and Emerging Viral Diseases in Livestock: 2nd Edition

A special issue of Viruses (ISSN 1999-4915). This special issue belongs to the section "Animal Viruses".

Deadline for manuscript submissions: 30 October 2026 | Viewed by 726

Special Issue Editors


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Guest Editor
Department of Veterinary Pathobiology, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, USA
Interests: emerging viruses with veterinary relevance; virome; diagnostic of viral infections; pathogenesis; immune responses to viral infections
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Veterinary Pathobiology, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, USA
Interests: veterinary Immunology; bovine immunology; adaptive immune responses; vaccinology; respiratory diseases and microbiology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Viral diseases are responsible for significant economic losses in livestock production worldwide and pose a constant threat to food security. Understanding viral pathogenesis and host immune responses is critical for developing and refining appropriate diagnostic methods and vaccines. The surveillance and characterization of emerging viral pathogens are also essential. Therefore, the scope of this comprehensive veterinary virology topic is related to advances in pathogenesis, immune responses, vaccinology, and detection of endemic and emerging viral diseases in ruminant livestock species and swine.

The tremendous success and immense interest generated by our previous volumes have paved the way for the initiation of an equally captivating new edition. Publications of previous Special Issue series can be found through the following links:
https://www.mdpi.com/journal/viruses/special_issues/viral_diseases_livestock;
https://www.mdpi.com/journal/viruses/special_issues/pathogenesis_livestock.

Dr. Fernando Vicosa Vicosa Bauermann
Dr. Mayara Maggioli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Viruses is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • veterinary virology
  • livestock
  • ruminants
  • swine
  • vaccines

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Related Special Issue

Published Papers (1 paper)

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Research

20 pages, 7656 KB  
Article
Predicting the Landscape Epidemiology of Foot-and-Mouth Disease in Endemic Regions: An Interpretable Machine Learning Approach
by Moh A. Alkhamis, Hamad Abouelhassan, Abdulaziz Alateeqi, Abrar Husain, John M. Humphreys, Jonathan Arzt and Andres M. Perez
Viruses 2025, 17(10), 1383; https://doi.org/10.3390/v17101383 - 17 Oct 2025
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Abstract
Foot-and-mouth disease (FMD) remains a devastating threat to livestock health and food security in the Middle East and North Africa (MENA), where complex interactions among host, environmental, and anthropogenic factors constitute an optimal endemic landscape for virus circulation. Here, we applied an interpretable [...] Read more.
Foot-and-mouth disease (FMD) remains a devastating threat to livestock health and food security in the Middle East and North Africa (MENA), where complex interactions among host, environmental, and anthropogenic factors constitute an optimal endemic landscape for virus circulation. Here, we applied an interpretable machine learning (ML) statistical framework to model the epidemiological landscape of FMD between 2005 and 2025. Furthermore, we compared the ecological niche of serotypes O and A in the MENA region. Our ML algorithms demonstrated high predictive performance (accuracies > 85%) in identifying the geographical extent of high-risk areas, including under-reported regions such as the Southern and Northeastern Arabian Peninsula. Sheep density emerged as the dominant predictor for all FMD outbreaks and serotype O, with significant non-linear relationships with wind, temperature, and human population density. In contrast, serotype A risk was primarily influenced by buffalo density and proximity to roads and cropland. Our in-depth interaction and Shapley value analyses provided fine-scale interpretability by interrogating the threshold effects of each feature in shaping the spatial risk of FMD. Further implementation of our analytical pipeline to guide risk-based surveillance programs and intervention efforts will help reduce the economic and public health impacts of this devastating animal pathogen. Full article
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