Ahmed, W.; Liu, Y.; Smith, W.; Ingall, W.; Belby, M.; Bivins, A.; Bertsch, P.; Williams, D.; Richards, K.; Simpson, S. Harnessing Wastewater Surveillance to Detect Livestock-Linked Viruses. Preprints2023, 2023091616. https://doi.org/10.20944/preprints202309.1616.v1
APA Style
Ahmed, W., Liu, Y., Smith, W., Ingall, W., Belby, M., Bivins, A., Bertsch, P., Williams, D., Richards, K., & Simpson, S. (2023). Harnessing Wastewater Surveillance to Detect Livestock-Linked Viruses. Preprints. https://doi.org/10.20944/preprints202309.1616.v1
Chicago/Turabian Style
Ahmed, W., Kirsty Richards and Stuart Simpson. 2023 "Harnessing Wastewater Surveillance to Detect Livestock-Linked Viruses" Preprints. https://doi.org/10.20944/preprints202309.1616.v1
Abstract
Wastewater surveillance, initially conceived in the early 20th century during typhoid fever outbreaks, has evolved into a powerful tool for monitoring public health-relevant analytes. Recent applications in tracking SARS-CoV-2 infection highlight its potential. Beyond humans, it can be extended to livestock populations due to the increasing demand for livestock products. Livestock intensification poses risks of zoonotic disease emergence. Wastewater surveillance offers non-invasive, cost-effective means to detect potential outbreaks. This approach aligns with the "One Health" paradigm, emphasizing the interconnectedness of human, animal, and ecosystem health. By monitoring viruses in livestock wastewater, early detection, prevention, and control strategies can be employed, safeguarding both animal and human health, economic stability, and international trade. This integrated One Health approach enhances collaboration and a comprehensive understanding of disease dynamics, supporting proactive measures in the Anthropocene era where animal and human diseases are on the rise.
Keywords
wastewater surveillance; livestock; zoonotic pathogens; one health; animal epidemiology
Subject
Biology and Life Sciences, Animal Science, Veterinary Science and Zoology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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