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• W4381884765 abstract "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." @default.
• W4381884765 created "2023-06-25" @default.
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• W4381884765 date "2023-06-23" @default.
• W4381884765 modified "2023-10-16" @default.
• W4381884765 title "Development of a computational model to inform environmental surveillance sampling plans for<i>Salmonella enterica</i>serovar Typhi in wastewater" @default.
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• W4381884765 doi "https://doi.org/10.1101/2023.06.22.545856" @default.
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