Article

Impacts of people’s learning behavior in fighting the COVID-19 epidemic

2020-08-04

Abstract excerpt

This work presents a mathematical model that captures time-dependent social-distancing effects and presents examples of the consequences of relaxing social-distancing restrictions in the fight against the novel coronavirus epidemic. Without social distancing, the spread of COVID-19 will grow exponentially, but social distancing and people’s learning behavior (isolating, staying at home, wearing face masks, washing...

Topics

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

Identifiers and source

Literature Corpus work: 4242ad10-19b9-51b3-9542-30877790d855
DOI: 10.1101/2020.08.02.20166967

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Impacts of people’s learning behavior in fighting the COVID-19 epidemicDOI 10.1101/2020.08.02.20166967Read

Quantifying the Effects of Social Distancing on the Spread of COVID-19Semantic proximity Read

Quantifying the Effects of Social Distancing on the Spread of COVID-19Semantic proximity Read

Using a real-world network to model the tradeoff between stay-at-home restriction, vaccination, social distancing and working hours on COVID-19 dynamicsSemantic proximity Read

COVID-19 and Importance of Social DistancingSemantic proximity Read

Assessing the relative contributions of healthcare protocols for epidemic control: an example with network transmission model for COVID-19Semantic proximity Read

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

Isolation and contact tracing can tip the scale to containment of COVID-19 in populations with social distancingSemantic proximity Read

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

COVID-19: Rethinking the Lockdown GroupthinkSemantic proximity Read

Investigating dynamics of COVID-19 spread and containment with agent-based modelingSemantic proximity Read

Optimizing Social Distancing Policies: A Dynamic Programming Approach for Coupled High and Low Risk PopulationsSemantic proximity Read

Predicting COVID-19 outbreak using open mobility data for minimal disruption on the country’s economySemantic proximity Read