Optimal allocation and operation of sewer monitoring sites for wastewater-based disease surveillance: A methodological proposal.

ABSTRACT: Wastewater-based epidemiology (WBE) is drawing increasing attention as a promising tool for an early warning of emerging infectious diseases such as COVID-19. This study demonstrated the utility of a spatial bisection method (SBM) and a global optimization algorithm (i.e., genetic algorithm, GA), to support better designing and operating a WBE program for disease surveillance and source identification. The performances of SBM and GA were compared in determining the optimal locations of sewer monitoring manholes to minimize the difference among the effective spatial monitoring scales of the selected manholes. While GA was more flexible in determining the spatial resolution of the monitoring areas, SBM allows stepwise selection of optimal sampling manholes with equiareal subcatchments and lo

SUBMITTER: Kim K 

PROVIDER: S-EPMC9342910 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature