Comparison of longitudinal trends in self-reported symptoms and COVID-19 case activity in Ontario, Canada.

ABSTRACT:

Background

Limitations in laboratory diagnostic capacity impact population surveillance of COVID-19. It is currently unknown whether participatory surveillance tools for COVID-19 correspond to government-reported case trends longitudinally and if it can be used as an adjunct to laboratory testing. The primary objective of this study was to determine whether self-reported COVID-19-like illness reflected laboratory-confirmed COVID-19 case trends in Ontario Canada.

Methods

We retrospectively analyzed longitudinal self-reported symptoms data collected using an online tool-Outbreaks Near Me (ONM)-from April 20th, 2020, to March 7th, 2021 in Ontario, Canada. We measured the correlation between COVID-like illness among respondents and the weekly number of PCR-confirmed COVID-19 cas

SUBMITTER: Maharaj AS 

PROVIDER: S-EPMC8754059 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature