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Dataset Information

COVIDmeter - a questionnaire-based symptom monitoring system for the surveillance of COVID-19 in Denmark, 2020-2023.


ABSTRACT: Early in the COVID-19 pandemic, Denmark launched COVIDmeter, a national participatory surveillance platform collecting real-time, self-reported symptoms from a community cohort, aimed to support early signal detection of COVID-like illness. This study describes the community cohort, the reported symptoms among persons testing positive and evaluates COVIDmeter's performance in detecting trends compared to other established surveillance indicators. A total of 143000 individuals registered as participants, of whom 98% completed at least one weekly questionnaire, resulting in approximately 5.8 million responses over the period from March 2020 to March 2023. Of those who tested positive, the most commonly reported symptoms overall were headache, fatigue, muscle or body aches, cough and fever. T

SUBMITTER: Munch PK 

PROVIDER: S-EPMC12722544 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature