2020
DOI: 10.1101/2020.03.27.20044891
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Evaluating the effectiveness of social distancing interventions against COVID-19

Abstract: SARS-CoV-2 has infected over 140,000 people as of March 14, 2020. We use a mathematical model to investigate the effectiveness of social distancing interventions lasting six weeks in a middle-sized city in the US. We explore four social distancing strategies by reducing the contacts of adults over 60 years old, adults over 60 years old and children, all adults (25, 75 or 95% compliance), and everyone in the population. Our results suggest that social distancing interventions can avert cases by 20% and hospital… Show more

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Cited by 32 publications
(35 citation statements)
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References 15 publications
(20 reference statements)
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“…Early data to support the efficacy of various NPI measures in reducing SARS-CoV-2 spread has relied mostly on model-based analysis rather than empirical data derived from observations in the real world. [13][14][15][16][17][18][19] As cases have accumulated around the world, it has become increasingly possible to retrospectively assess the impact of NPIs on measured outcomes, as presented in this study. Previous characterization of disease burden across research studies and news sources has largely relied on the metrics of cumulative case and death counts; however, these metrics are unidirectional and do not account for bidirectional changes in the rate of viral transmission over time, a much more powerful metric for predicting an epidemic's trajectory.…”
Section: Context and Contributionmentioning
confidence: 99%
See 1 more Smart Citation
“…Early data to support the efficacy of various NPI measures in reducing SARS-CoV-2 spread has relied mostly on model-based analysis rather than empirical data derived from observations in the real world. [13][14][15][16][17][18][19] As cases have accumulated around the world, it has become increasingly possible to retrospectively assess the impact of NPIs on measured outcomes, as presented in this study. Previous characterization of disease burden across research studies and news sources has largely relied on the metrics of cumulative case and death counts; however, these metrics are unidirectional and do not account for bidirectional changes in the rate of viral transmission over time, a much more powerful metric for predicting an epidemic's trajectory.…”
Section: Context and Contributionmentioning
confidence: 99%
“…Previous modeling studies predicted that 'social distancing' policies could be critical in mitigating the spread of COVID-19. [13][14][15][16][17][18][19] Recent reports have begun exploring the effectiveness of social distancing in reducing disease spread at the country level and local county level. 2,[20][21][22] Mandated NPIs have also been associated with reduced transmission of SARS-CoV-2 in Wuhan.…”
Section: Introductionmentioning
confidence: 99%
“…[9] Most practitioners in the survey felt that general measures are effective in containing the pandemic in day to day practice and complete PPEs to be reserved to workers dealing with high risk patients. A common sense, rationed approach to the availability of resources like PPEs and the magnitude of this pandemic is being followed cautiously not only in India but all over the world [33,34]. There was mixed response to HCQ prophylaxis as the evidence and availability are an issue.…”
Section: Resultsmentioning
confidence: 99%
“…17 The implementation of social distancing is the core component of the responses towards the COVID-19 pandemic. 18,19 Several practices related to social distancing are aimed at reducing the probability of new infection by minimizing the physical contact between individuals. 20 Even though the risk for the severity level of COVID-19 disease is different, each individual can possibly become infected and spread the virus.…”
Section: Discussionmentioning
confidence: 99%