Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19
Individuals infected with SARS-CoV-2, the virus that causes COVID-19, may shed the virus in stool before developing symptoms, suggesting that measurements of SARS-CoV-2 concentrations in wastewater could be a “leading indicator” of COVID-19 prevalence. Multiple studies have corroborated the leading...
Saved in:
Published in | Water research (Oxford) Vol. 202; p. 117433 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.09.2021
The Authors. Published by Elsevier Ltd |
Subjects | |
Online Access | Get full text |
ISSN | 0043-1354 1879-2448 1879-2448 |
DOI | 10.1016/j.watres.2021.117433 |
Cover
Loading…
Summary: | Individuals infected with SARS-CoV-2, the virus that causes COVID-19, may shed the virus in stool before developing symptoms, suggesting that measurements of SARS-CoV-2 concentrations in wastewater could be a “leading indicator” of COVID-19 prevalence. Multiple studies have corroborated the leading indicator concept by showing that the correlation between wastewater measurements and COVID-19 case counts is maximized when case counts are lagged. However, the meaning of “leading indicator” will depend on the specific application of wastewater-based epidemiology, and the correlation analysis is not relevant for all applications. In fact, the quantification of a leading indicator will depend on epidemiological, biological, and health systems factors. Thus, there is no single “lead time” for wastewater-based COVID-19 monitoring. To illustrate this complexity, we enumerate three different applications of wastewater-based epidemiology for COVID-19: a qualitative “early warning” system; an independent, quantitative estimate of disease prevalence; and a quantitative alert of bursts of disease incidence. The leading indicator concept has different definitions and utility in each application. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 |
ISSN: | 0043-1354 1879-2448 1879-2448 |
DOI: | 10.1016/j.watres.2021.117433 |