An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation.

ABSTRACT: Infectious disease modelling can serve as a powerful tool for situational awareness and decision support for policy makers. However, COVID-19 modelling efforts faced many challenges, from poor data quality to changing policy and human behaviour. To extract practical insight from the large body of COVID-19 modelling literature available, we provide a narrative review with a systematic approach that quantitatively assessed prospective, data-driven modelling studies of COVID-19 in the USA. We analysed 136 papers, and focused on the aspects of models that are essential for decision makers. We have documented the forecasting window, methodology, prediction target, datasets used, and geographical resolution for each study. We also found that a large fraction of papers did not evaluate performanc

SUBMITTER: Nixon K 

PROVIDER: S-EPMC9489063 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature