ArticleBMC infectious diseases2022
Evaluating the impact of stay-at-home and quarantine measures on COVID-19 spread.
Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 34 citations in OpenAlex.
- Retrospective analysis of age-specific non-pharmaceutical interventions on wild-type SARS-CoV-2 in Canada.BMC public health · 2026Article
- The Impact of Stay-At-Home Mandates on Uncertainty and Sentiments: Quasi-Experimental Study.Journal of medical Internet research · 2025Article
- Prevalence and correlates of severe anxiety among front-line nurses during and after the COVID-19 pandemic: a large-scale multi-center study.BMC nursing · 2025Article
- Results of the Cologne Corona Surveillance (CoCoS) project - a cross-sectional study: Survey data on nonadherence to recommended individual behaviours for SARS-CoV-2 pandemic containment.German medical science : GMS e-journal · 2025Article
- Changes in insulin resistance and other metabolic parameters during home quarantine amid the COVID-19 pandemic among the general population.Frontiers in nutrition · 2025Article
- Micro-costing analysis of integrating SARS-CoV-2 antigen rapid detection tests into routine health facility services: a comparison of test-all versus screen-and-test models in Cameroon and Kenya.BMJ public health · 2025Article
- Review
- Non-pharmaceutical interventions to reduce COVID-19 transmission in the UK: a rapid mapping review and interactive evidence gap map.Journal of public health (Oxford, England) · 2024Review
- Ensemble inference of unobserved infections in networks using partial observations.PLoS computational biology · 2023Article
- Impact of COVID-19 on the Care of Patients with HIV Infection.Journal of clinical medicine · 2023Article
- Assessing the efficacy of health countermeasures on arrival time of infectious diseases.Infectious Disease Modelling · 2023Article
- No Excess of Mortality from Lung Cancer during the COVID-19 Pandemic in an Area at Environmental Risk: Results of an Explorative Analysis.International journal of environmental research and public health · 2023Observational
- Assessing the effectiveness of the intervention measures of COVID-19 in China based on dynamical method.Infectious Disease Modelling · 2023Article
- The effect of shortening the quarantine period and lifting the indoor mask mandate on the spread of COVID-19: a mathematical modeling approach.Frontiers in public health · 2023Article
- Modeling Dynamic Responses to COVID-19 Epidemics: A Case Study in Thailand.Tropical medicine and infectious disease · 2022Article
- No magic bullet: Limiting in-school transmission in the face of variable SARS-CoV-2 viral loads.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundDuring the early stage of the COVID-19 pandemic, many countries implemented non-pharmaceutical interventions (NPIs) to control the transmission of SARS-CoV-2, the causative pathogen of COVID-19. Among those NPIs, stay-at-home and quarantine measures were widely adopted and enforced. Understanding the effectiveness of stay-at-home and quarantine measures can inform decision-making and control planning during the ongoing COVID-19 pandemic and for future disease outbreaks.
methodsIn this study, we use mathematical models to evaluate the impact of stay-at-home and quarantine measures on COVID-19 spread in four cities that experienced large-scale outbreaks in the spring of 2020: Wuhan, New York, Milan, and London. We develop a susceptible-exposed-infected-removed (SEIR)-type model with components of self-isolation and quarantine and couple this disease transmission model with a data assimilation method. By calibrating the model to case data, we estimate key epidemiological parameters before lockdown in each city. We further examine the impact of stay-at-home and quarantine rates on COVID-19 spread after lockdown using counterfactual model simulations.
resultsResults indicate that self-isolation of susceptible population is necessary to contain the outbreak. At a given rate, self-isolation of susceptible population induced by stay-at-home orders is more effective than quarantine of SARS-CoV-2 contacts in reducing effective reproductive numbers [Formula: see text]. Variation in self-isolation and quarantine rates can also considerably affect the duration of outbreaks, attack rates and peak timing. We generate counterfactual simulations to estimate effectiveness of stay-at-home and quarantine measures. Without these two measures, the cumulative confirmed cases could be much higher than reported numbers within 40 days after lockdown in Wuhan, New York, Milan, and London.
conclusionsOur findings underscore the essential role of stay-at-home orders and quarantine of SARS-CoV-2 contacts during the early phase of the pandemic.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.