Home|Journals|Articles by Year|Audio Abstracts
 

Short Communication

AJVS. 2021; 69(1): 168-178


Controlling the Spread of SARS-CoV-2 via Sniffer Dogs

Fereshteh Moshfegh, Farshad Khosraviani, Nazbanoo Farpour, Ebrahim Boluki.




Abstract

Abstract
COVID-19 outbreak leads to morbidity and mortality. It is undeniable fact that both controlling infection and treatment are important for preventing the transmission of COVID-19. So, diagnosis of early stage of the disease and rapid identification of people who are infected with SARS-CoV-2 are vital. Various methods are currently used to diagnose of this disease, however there are limitations for current diagnostic methods such as cost, test results, time consuming, require specialized equipment and expertise. It is specified that a large number of human diseases have a specific smell. Probably each pathogen in individual can influence the released Volatile Organic Compounds (VOC) signals/profiles. Tracing changes in VOCs associated with certain disease can be used as unique fingerprints; also it can provide clues for early disease detection in order to prevent further outbreaks of infectious diseases. Dogs are be trained for smelling/ identifying any scented materials. Innumerable scientific articles indicate the importance of sniffer dogs in a spectrum range of applications. In this study, we scrutinize the properties of trained dogs for detection infected people with COVID-19.

Key words: Fereshteh Moshfegh, Farshad Khosraviani, Nazbanoo Farpour, Ebrahim Boluki






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.