Disease-dependent interaction policies to support health and economic outcomes during the COVID-19 epidemic.
Ontology highlight
ABSTRACT: Lockdowns and stay-at-home orders have partially mitigated the spread of Covid-19. However, the indiscriminate nature of mitigation - applying to all individuals irrespective of disease status - has come with substantial socioeconomic costs. Here, we explore how to leverage the increasing reliability and scale of both molecular and serological tests to balance transmission risks with economic costs involved in responding to Covid-19 epidemics. First, we introduce an optimal control approach that identifies personalized interaction rates according to an individual's test status; such that infected individuals isolate, recovered individuals can elevate their interactions, and activity of susceptible individuals varies over time. Critically, the extent to which susceptible individuals can ret
SUBMITTER: Li G
PROVIDER: S-EPMC7480062 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
ACCESS DATA