Developing a sampling methodology for timely reporting of population-based COVID-19-associated hospitalization surveillance in the United States, COVID-NET 2020-2021.

ABSTRACT:

Background

The COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) required a sampling methodology that allowed for production of timely population-based clinical estimates to inform the ongoing US COVID-19 pandemic response.

Methods

We developed a flexible sampling approach that considered reporting delays, differential hospitalized case burden across surveillance sites, and changing geographic and demographic trends over time. We incorporated weighting methods to adjust for the probability of selection and non-response, and to calibrate the sampled case distribution to the population distribution on demographics. We additionally developed procedures for variance estimation.

Results

Between March 2020 and June 2021, 19,293 (10.4%) of all adult hospit

SUBMITTER: O'Halloran A 

PROVIDER: S-EPMC9835436 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature