Optimizing spatial distribution of wastewater-based epidemiology to advance health equity DOI Creative Commons
Maria L. Daza–Torres, J. Cricelio Montesinos-López, César Herrera

et al.

Epidemics, Journal Year: 2024, Volume and Issue: 49, P. 100804 - 100804

Published: Nov. 10, 2024

In 2022, the US Centers for Disease Control and Prevention commissioned National Academies of Sciences, Engineering, Medicine to assess role community-level wastewater-based epidemiology (WBE) beyond COVID-19. WBE is recognized as a promising mechanism promptly identifying infectious diseases, including COVID-19 other novel pathogens. An important conclusion from this initiative critical importance maintaining equity expanding access fully realize benefits wastewater surveillance marginalized communities. To address need, we propose an optimization framework that strategically allocates monitoring resources at treatment plant (WWTP) level, ensuring more effective equitable distribution efforts serve underserved populations. The purpose obtain balanced spatial distribution, inclusive population coverage, efficient representation disadvantaged groups in allocation WBE. Furthermore, concentrates on areas with high density gives priority vulnerable regions, well signals display significant variations monitored sources. objective maximize weighted combination these factors. This problem formulated integer solved using simulated annealing. We evaluate various scenarios, considering different weighting factors, optimize WWTPs systems. provides opportunity enhance by providing customized strategies created specific priorities situations, thus enhancing decision-making processes public health responses.

Language: Английский

Optimizing Spatial Distribution of Wastewater-Based Disease Surveillance to Advance Health Equity DOI Creative Commons
Maria L. Daza–Torres, J. Cricelio Montesinos-López, César Herrera

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 4, 2024

Abstract In 2022, the US Centers for Disease Control and Prevention commissioned National Academies of Sciences, Engineering, Medicine to assess role community-level wastewater-based disease surveillance (WDS) beyond COVID-19. WDS is recognized as a promising mechanism promptly identifying infectious diseases, including COVID-19 other novel pathogens. An important conclusion drawn from this initiative that it crucial maintain equity expand access maximize advantages marginalized communities. To address need, we propose an optimization framework focuses on strategic allocation wastewater monitoring resources at treatment plant level. The framework’s purpose obtain balanced spatial distribution, inclusive population coverage, efficient representation vulnerable communities in allocating WDS. This study offers opportunity improve by tailoring location selection strategies specific priorities, improving decision-making public health responses.

Language: Английский

Citations

1
Optimizing spatial distribution of wastewater-based epidemiology to advance health equity DOI Creative Commons
Maria L. Daza–Torres, J. Cricelio Montesinos-López, César Herrera

et al.

Epidemics, Journal Year: 2024, Volume and Issue: 49, P. 100804 - 100804

Published: Nov. 10, 2024

In 2022, the US Centers for Disease Control and Prevention commissioned National Academies of Sciences, Engineering, Medicine to assess role community-level wastewater-based epidemiology (WBE) beyond COVID-19. WBE is recognized as a promising mechanism promptly identifying infectious diseases, including COVID-19 other novel pathogens. An important conclusion from this initiative critical importance maintaining equity expanding access fully realize benefits wastewater surveillance marginalized communities. To address need, we propose an optimization framework that strategically allocates monitoring resources at treatment plant (WWTP) level, ensuring more effective equitable distribution efforts serve underserved populations. The purpose obtain balanced spatial distribution, inclusive population coverage, efficient representation disadvantaged groups in allocation WBE. Furthermore, concentrates on areas with high density gives priority vulnerable regions, well signals display significant variations monitored sources. objective maximize weighted combination these factors. This problem formulated integer solved using simulated annealing. We evaluate various scenarios, considering different weighting factors, optimize WWTPs systems. provides opportunity enhance by providing customized strategies created specific priorities situations, thus enhancing decision-making processes public health responses.

Language: Английский

Citations

1