Detection of Bronchitis Virus through Web-Based Interface and Management Strategies for Effective Control

Umber Rauf ()
Additional contact information
Umber Rauf: Veterinary Research Institute (VRI), Zarar Shaheed Road Lahore Cantt

International Journal of Innovations in Science & Technology, 2022, vol. 4, issue Special, 41-53

Abstract: RNA viruses are distinguished by their quick adaptation to novel surroundings made possible by their high mutation and recombination rates. These viruses are responsible for the majority of newly identified illnesses and host transitions. Even well-known infections can be difficult to control due to their propensity for rapid evolution, which can impede our understanding of molecular epidemiology, reduce the sensitivity of diagnostic assays, reduce the efficiency of vaccines, and promote instances of immune escape. This scenario is consistent with the infectious bronchitis virus's (IBV) past. The chicken industry has been aware of it since the 1930s, but it continues to be a major source of sickness and economic losses. Over the years, several different approaches have been tried and mostly unsuccessfully implemented to lessen its effects. However, they are rarely subjected to a fair and impartial assessment. Therefore, the pros and cons of IBV detection and control measures, and the efficacy of their execution, still mainly depend on the perspective of the observer. The purpose of this publication is to summaries the key aspects of IBV biology and evolution with an eye toward their diagnostic and preventative utility. Python based script has been developed for detection of Bronchitis virus.

Keywords: Bronchitis virus; Damage Control; Viral Diseases (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journal.50sea.com/index.php/IJIST/article/view/502 (application/pdf)
https://journal.50sea.com/index.php/IJIST/article/view/502 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abq:ijist1:v:4:y:2022:i:7:p:41-53

Access Statistics for this article

International Journal of Innovations in Science & Technology is currently edited by Prof. Dr. Veraldo Lisenberg, Prof Dr. Ali Iqtedar Mirza

More articles in International Journal of Innovations in Science & Technology from 50sea
Bibliographic data for series maintained by Hafiz Haroon Ahmad, Iqra Nazeer ().