Vet World   Vol.18   December-2025  Article - 9 

Review Article

Veterinary World, 18(12): 3788-3805

https://doi.org/10.14202/vetworld.2025.3788-3805

Advances and emerging technologies in the diagnosis of viral infections in pigs: Progress, challenges, and One Health perspectives

Kydyr Nazerke1 ORCID, Asaubayev Ruslan1 ORCID, Daugaliyeva Saule2 ORCID, Daugaliyeva Aida3 ORCID, and Vitmer Svetlana1 ORCID

1. LLP “Scientific and Production Center, Center of Advanced Technologies in Agriculture”, 23 Karim Sutyshev, 150000, Petropavlovsk, Republic of Kazakhstan.

2. LLP “Scientific Production Center of Microbiology and Virology”, 105 Bogenbay Batyr, 050010, Almaty, Republic of Kazakhstan.

3. LLP “Kazakh Research Institute for Livestock and Fodder Production”, 51 Zhandosov, 050035, Almaty, Republic of Kazakhstan.

Background and Aim: Viral infections continue to pose major challenges to pig health, farm productivity, and global food security. Early and accurate diagnosis is the cornerstone of disease prevention, surveillance, and control in swine populations. In recent years, remarkable progress has been achieved in molecular, serological, and digital diagnostic technologies, enabling more rapid, sensitive, and field-adaptable detection of important porcine viruses such as African swine fever virus, porcine reproductive and respiratory syndrome virus, and classical swine fever virus. This review summarizes current and emerging diagnostic approaches, highlighting polymerase chain reaction (PCR) and its advanced forms, quantitative PCR and digital PCR, as the gold standards for laboratory confirmation. The advent of next-generation sequencing and metagenomics has revolutionized pathogen discovery and genomic surveillance, providing comprehensive insights into viral evolution and transboundary transmission. Isothermal amplification techniques such as loop-mediated isothermal amplification and recombinase polymerase amplification have shown strong potential for on-farm diagnosis due to their simplicity, rapidity, and minimal equipment requirements. Innovations such as clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated-based assays, biosensors, lab-on-a-chip platforms, and point-of-care testing devices are bridging the gap between laboratory precision and field application, allowing rapid decision-making during outbreaks. The integration of artificial intelligence, machine learning, and geographic information systems has further enhanced diagnostic interpretation, real-time data sharing, and early outbreak prediction under the One Health framework. Despite these advances, challenges remain in ensuring assay standardization, affordability, and equitable access in resource-limited regions. Continued international collaboration, data sharing, and policy harmonization under the guidance of the Food and Agriculture Organization, the World Organization for Animal Health, and the World Health Organization are essential for the global control of swine viral diseases. Ultimately, combining molecular innovation with digital adaptability offers the most promising path toward resilient, cost-effective, and sustainable diagnostic systems for safeguarding animal and public health. 

Keywords: viral infections, emerging technologies, One Health, molecular diagnostics, artificial intelligence, microfluidic platforms, biosensors.

How to cite this article: Nazerke K, Ruslan A, Saule D, Aida D, and Svetlana V (2025) Advances and emerging technologies in the diagnosis of viral infections in pigs: Progress, challenges, and One Health perspectives, Veterinary World, 18(12): 3788–3805.

Received: 20-08-2025   Accepted: 05-11-2025   Published online: 10-12-2025

Corresponding author: Kydyr Nazerke    E-mail: nazerke.kydyr10@mail.ru

DOI: 10.14202/vetworld.2025.3788-3805

Copyright: Nazerke, et al. This article is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.