Ontology highlight
ABSTRACT: Background
The COVID-19 pandemic is characterized by rapid increases in infection burden owing to the emergence of new variants with higher transmissibility and immune escape. To date, monitoring the COVID-19 pandemic has mainly relied on passive surveillance, yielding biased epidemiological measures owing to the disproportionate number of undetected asymptomatic cases. Active surveillance could provide accurate estimates of the true prevalence to forecast the evolution of the pandemic, enabling evidence-based decision-making.Objective
This study compared 4 different approaches of active SARS-CoV-2 surveillance focusing on feasibility and epidemiological outcomes.Methods
A 2-factor factorial randomized controlled trial was conducted in 2020 in a German district with
SUBMITTER: Deckert A
PROVIDER: S-EPMC10437130 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature