DIAGNOSTIC METHODS AND ADVANCEMENTS IN THE DETECTION OF VIRAL INFECTIONS IN ANIMALS

MN AZAM; T KHURSHID; RJ GILL; M AHMAD; MJ HAIDER; A REHMAN; QUA FATIMA; A KHALID; M NAEEM; H ABID

doi:10.54112/bcsrj.v2023i1.537

Authors

MN AZAM Department of Clinical Sciences, University of Veterinary and Animal Sciences, Lahore, Jhang Campus, Punjab, Pakistan
T KHURSHID Department of Pathology, University of Veterinary and Animal Sciences, Lahore, Punjab, Pakistan
RJ GILL Department of Zoology, University of Veterinary and Animal Sciences, Lahore, Punjab, Pakistan
M AHMAD Department of Epidemiology and Public Health, University of Agriculture Faisalabad, Punjab, Pakistan and Department of Livestock and Dairy Development, Punjab, Pakistan
MJ HAIDER Department of Biotechnology, Quaid-i-Azam University, Islamabad, Pakistan
A REHMAN Department of Patho-biology, University of Veterinary and Animal Sciences, Sub Campus Jhang, Punjab, Pakistan
QUA FATIMA Faculty of Animal Sciences, Lasbela University of Agriculture, Water and Marine Sciences, Uthal Baluchistan, Pakistan
A KHALID Department of Clinical Medicine and Surgery, University of Agriculture Faisalabad, Punjab, Pakistan
M NAEEM Poultry Research Institute, Rawalpindi, Pakistan
H ABID Faculty of Veterinary and Animal Sciences, PMAS Arid Agriculture University, Rawalpindi, Pakistan

DOI:

https://doi.org/10.54112/bcsrj.v2023i1.537

Keywords:

diagnosis, viral infections, NGS, Molecular techniques, wild species

Abstract

Detecting and diagnosing viral infections in animals play a pivotal role in ensuring the health and well-being of both domesticated and wild species. The study investigates diagnostic methods for detecting viral infections in a diverse animal population (n=300). Employing serological assays, molecular diagnostics, point-of-care testing, and advanced imaging technologies, the research explores sensitivities and specificities of each method. Molecular techniques, particularly PCR and NGS, exhibit consistent high performance, while point-of-care testing and imaging technologies offer practical on-site applications. Demographic considerations enrich the findings, emphasizing the importance of a multidisciplinary approach. This study contributes to refining veterinary diagnostic strategies and advocates for integrating artificial intelligence to address global disparities in diagnostic accessibility.

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