Analysis Insights to Support the Use of Wastewater and Environmental Surveillance Data for Infectious Diseases and Pandemic Preparedness DOI Creative Commons
Kathleen O’Reilly, Matthew J. Wade, Kata Farkas

et al.

Epidemics, Journal Year: 2025, Volume and Issue: unknown, P. 100825 - 100825

Published: March 1, 2025

Wastewater-based epidemiology is the detection of pathogens from sewage systems and interpretation these data to improve public health. Its use has increased in scope since 2020, when it was demonstrated that SARS-CoV-2 RNA could be successfully extracted wastewater affected populations. In this Perspective we provide an overview recent advances pathogen within wastewater, propose a framework for identifying utility sampling suggest areas where analytics require development. Ensuring both collection analysis are tailored towards key questions at different stages epidemic will inference made. For analyses useful methods determine absence infection, early reliably estimate trajectories prevalence, detect novel variants without reliance on consensus sequences. This research area included many innovations have improved collected optimistic innovation continue future.

Language: Английский

Lifting of travel restrictions brings additional noise in COVID-19 surveillance through wastewater-based epidemiology in post-pandemic period DOI Creative Commons
Xuan Li, Jibin Li, Huan Liu

et al.

Water Research, Journal Year: 2025, Volume and Issue: 274, P. 123114 - 123114

Published: Jan. 7, 2025

The post-pandemic world still faces ongoing COVID-19 infections, although international travel has returned to pre-pandemic conditions. Wastewater-based epidemiology (WBE) is considered an efficient tool for the population-wide surveillance of infections during pandemic. However, performance WBE in era with restrictions lifted remains unknown. Utilizing weekly county-level wastewater data from June 2021-November 2022 222 counties 49 states (covering 104 million people) United States America, we retrospectively evaluated correlations between SARS-CoV-2 RNA (C

Language: Английский

Citations

0
Review of Methods for Studying Viruses in the Environment and Organisms DOI Creative Commons
Xinyue Wang, Tianjiao Ma, Zhiyuan Chen

et al.

Viruses, Journal Year: 2025, Volume and Issue: 17(1), P. 86 - 86

Published: Jan. 11, 2025

Recent decades have seen growing attention on viruses in the environment and their potential impacts as a result of global epidemics. Due to diversity viral species along with complexity environmental host factors, virus extraction detection methods become key for study ecology. This review systematically summarises extracting detecting pathogens from different samples (e.g., soil, water, faeces, air) biological plants, animals) existing studies, comparing similarities differences, applicability, well advantages disadvantages each method. Additionally, this discusses future directions research field. The aim is provide theoretical foundation technical reference ecology research, facilitating further exploration applications

Language: Английский

Citations

0
Analysis Insights to Support the Use of Wastewater and Environmental Surveillance Data for Infectious Diseases and Pandemic Preparedness DOI Creative Commons
Kathleen O’Reilly, Matthew J. Wade, Kata Farkas

et al.

Epidemics, Journal Year: 2025, Volume and Issue: unknown, P. 100825 - 100825

Published: March 1, 2025

Wastewater-based epidemiology is the detection of pathogens from sewage systems and interpretation these data to improve public health. Its use has increased in scope since 2020, when it was demonstrated that SARS-CoV-2 RNA could be successfully extracted wastewater affected populations. In this Perspective we provide an overview recent advances pathogen within wastewater, propose a framework for identifying utility sampling suggest areas where analytics require development. Ensuring both collection analysis are tailored towards key questions at different stages epidemic will inference made. For analyses useful methods determine absence infection, early reliably estimate trajectories prevalence, detect novel variants without reliance on consensus sequences. This research area included many innovations have improved collected optimistic innovation continue future.

Language: Английский

Citations

0