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Application Of Methods To Population-Based Surveys To Reduce Bias In Estimates Of Sars-Cov-2 Infection Burden In The Population, Saba Qasmieh
Dissertations and Theses
BACKGROUND: Population-based surveys designed to randomly sample the population can be a critical and complementary tool to traditional surveillance approaches. Probability-based surveys enable the measurement of SARS-CoV-2 testing and outcomes that avoid issues around self-selection into testing, making them an effective approach to address ascertainment bias in passive surveillance. For surveys to be a useful and reliable surveillance tool for understanding the burden and distribution of SARS-CoV-2 infection, they need to capture prevalence estimates that are both valid and reliable to be optimally informative for public health measures. The dissertation was undertaken to address three main gaps that have implications …