Article

Disease-dependent interaction policies to support health and economic outcomes during the COVID-19 epidemic

2020-08-31

Abstract excerpt

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 res...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 98b016d5-266f-5da7-9f9f-1ecae6114187
DOI: 10.1101/2020.08.24.20180752

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Disease-dependent interaction policies to support health and economic outcomes during the COVID-19 epidemicDOI 10.1101/2020.08.24.20180752Read

Test-trace-isolate-quarantine (TTIQ) intervention strategies after symptomatic COVID-19 case identificationSemantic proximity Read

How optimal allocation of limited testing capacity changes epidemic dynamicsSemantic proximity Read

Proactive COVID-19 testing in a partially vaccinated populationSemantic proximity Read

The health effects in the US of quarantine policies based on predicted individual risk of severe COVID-19 outcomesSemantic proximity Read

Protect or prevent? A practicable framework for the dilemmas of COVID-19 vaccine prioritizationSemantic proximity Read

Modelling the impact of rapid tests, tracing and distancing in lower-income countries suggest that optimal policies vary with rural-urban settingsSemantic proximity Read

Riding the waves from epidemic to endemic: Viral mutations, immunological change and policy responses.Semantic proximity Read

The relationship between controllability, optimal testing resource allocation, and incubation-latent period mismatch as revealed by COVID-19Semantic proximity Read

Optimal algorithms for controlling infectious diseases in real time using noisy infection dataSemantic proximity Read

A Novel Compartmental Approach to Modeling COVID-19 Disease Dynamics and Analyzing the Effect of Common Preventative MeasuresSemantic proximity Read

Chopping the tail: how preventing superspreading can help to maintain COVID-19 controlSemantic proximity Read

Optimal intervention strategies for a new pandemic: The case of Covid-19 <sup>*</sup>Semantic proximity Read