Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models.

ABSTRACT: The evident shedding of the SARS-CoV-2 RNA particles from infected individuals into the wastewater opened up a tantalizing array of possibilities for prediction of COVID-19 prevalence prior to symptomatic case identification through community testing. Many countries have therefore explored the use of wastewater metrics as a surveillance tool, replacing traditional direct measurement of prevalence with cost-effective approaches based on SARS-CoV-2 RNA concentrations in wastewater samples. Two important aspects in building prediction models are: time over which the prediction occurs and space for which the predicted case numbers is shown. In this review, our main focus was on finding mathematical models which take into the account both the time-varying and spatial nature of wastewater-based

SUBMITTER: Torabi F 

PROVIDER: S-EPMC10694161 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature