Ontology highlight
ABSTRACT:
SUBMITTER: Betensky RA
PROVIDER: S-EPMC7273303 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
medRxiv : the preprint server for health sciences 20200411
As the COVID-19 pandemic spreads across the world, it is important to understand its features and responses to public health interventions in real-time. The field of infectious diseases epidemiology has highly advanced modeling strategies that yield relevant estimates. These include the doubling time of the epidemic and various other representations of the numbers of cases identified over time. Crude estimates of these quantities suffer from dependence on the underlying testing strategies within ...[more]