Challenges for COVID-19 surveillance through wastewater-based epidemiology in post-pandemic era: A retrospective study in 222 USA counties

Abstract The post-pandemic world still faces ongoing COVID-19 infections, where wastewater-based epidemiology (WBE) is recognized as an efficient tool for the population-wide surveillance of COVID-19 infections. Utilizing weekly county-level wastewater-surveillance data during pandemic across 222 counties from 49 states in United States of America (USA) from June 2021-November 2022 and covering 104 M populations, we retrospectively evaluated the correlation between SARS-CoV-2 RNA concentrations in wastewater (CRNA) and reported cases as well as the impacts of demographics, socioeconomical, test accessibility, epidemiological, environmental factors and international air travelling on reported cases under the corresponding CRNA. The lift of travel restrictions in June 2022, a milestone for the post-pandemic era, shifted the correlation between CRNA and COVID-19 incidence in following 7-day and 14-day from 0.70 (IQR: 0.30-0.88) and 0.74 (IQR: 0.31-0.90) to 0.01 (IQR: -0.31-0.36) and -0.01 (IQR: -0.38-0.45), respectively. In post-pandemic period, under the same CRNA, the reported case numbers were impacted by international passengers, test accessibility, Omicron prevalence, ratio of population aged between 18-65, minority vulnerability, and healthcare system. These factors bring new challenges in post-pandemic era, which needs additional attention while using WBE surveillance for COVID-19 infections. This study facilitates public health authorities to dynamically adjust their WBE to the local context to achieve optimal community surveillance..

Medienart:

Preprint

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

ResearchSquare.com - (2024) vom: 09. Feb. Zur Gesamtaufnahme - year:2024

Sprache:

Englisch

Beteiligte Personen:

Li, Xuan [VerfasserIn]
Li, Jibin [VerfasserIn]
Liu, Huan [VerfasserIn]
Mínguez-Alarcón, Lidia [VerfasserIn]
Gao, Li [VerfasserIn]
Loosdrecht, Mark C. M. van [VerfasserIn]
Wang, Qilin [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.21203/rs.3.rs-3938577/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA042459001