Leveraging wastewater surveillance to detect viral diseases in livestock settings
Warish Ahmed1, Yawen Liu2, Wendy Smith1
1CSIRO Environment, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia.
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View abstract on PubMed
Wastewater surveillance offers a non-invasive method for monitoring animal health and detecting diseases in livestock. This approach supports the One Health initiative by integrating animal, human, and environmental health strategies.
Area of Science:
- Environmental Science
- Veterinary Public Health
- Epidemiology
Background:
- Wastewater surveillance is a proven public health tool, notably for tracking SARS-CoV-2.
- Increasing global demand for livestock products heightens the risk of zoonotic disease emergence.
- Monitoring animal populations for disease is crucial for safeguarding public health and economic stability.
Purpose of the Study:
- To explore the application of wastewater surveillance in livestock settings.
- To assess the potential of this method for early detection of animal disease outbreaks.
- To highlight the alignment of livestock wastewater surveillance with the One Health paradigm.
Main Methods:
- Utilizing wastewater surveillance techniques in livestock environments.
- Analyzing wastewater samples for the presence of relevant viral or bacterial analytes.
- Correlating findings with animal health status and potential disease spread.
Main Results:
- Wastewater surveillance provides a cost-effective and non-invasive means for disease detection in livestock.
- Early identification of pathogens in animal wastewater can facilitate timely intervention.
- The method supports a proactive approach to managing animal health and preventing disease transmission.
Conclusions:
- Wastewater surveillance in livestock is a valuable tool for public health and veterinary epidemiology.
- Integrating this approach into the One Health framework enhances disease prevention and control strategies.
- This method contributes to safeguarding animal welfare, human health, and global trade.