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bioRxiv · 10.1101/2023.06.22.545856

Development of a computational model to inform environmental surveillance sampling plans for Salmonella enterica serovar Typhi in wastewater

Burnor, E.·Morin, C.·Shirai, J.·Zhou, N.·Meschke, J. S.
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Abstract

Typhoid fever - an acute febrile disease caused by infection with the bacterium Salmonella enterica serotype Typhi (S. Typhi) - continues to be a leading cause of global morbidity and mortality, especially in developing countries with limited access to safe drinking water and adequate sanitation. Environmental surveillance, the process of detecting and enumerating disease-causing agents in wastewater, enables estimating disease prevalence and trends within a community and is a useful tool to monitor the circulation of typhoid fever in endemic regions. This study presents a computational model, which combines dynamic and probabilistic modeling techniques, to predict - on a spatial and temporal scale - the probability of detecting S. Typhi in a wastewater system. This model may be utilized in communities to inform environmental surveillance sampling plans and may provide useful insight into selecting appropriate sampling locations and times.

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Burnor, E., Morin, C., Shirai, J., Zhou, N., Meschke, J. S.. 2023-06-23. Development of a computational model to inform environmental surveillance sampling plans for Salmonella enterica serovar Typhi in wastewater. https://doi.org/10.1101/2023.06.22.545856

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