Effect of mitigation measures on the spreading of COVID-19 in hard-hit states in the U.S.

State government-mandated social distancing measures have helped to slow the growth of the COVID-19 pandemic in the United States. Many of the current predictive models of the development of COVID-19, especially after mitigation efforts, partially rely on extrapolations from data collected in other...

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Main Authors: Ka-Ming Tam, Nicholas Walker, Juana Moreno
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0240877
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spelling doaj-7ae84c3cae3c4cc3a5bd045bf7eb1fa32021-03-04T11:52:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011511e024087710.1371/journal.pone.0240877Effect of mitigation measures on the spreading of COVID-19 in hard-hit states in the U.S.Ka-Ming TamNicholas WalkerJuana MorenoState government-mandated social distancing measures have helped to slow the growth of the COVID-19 pandemic in the United States. Many of the current predictive models of the development of COVID-19, especially after mitigation efforts, partially rely on extrapolations from data collected in other countries. Since most states enacted stay-at-home orders towards the end of March, the resulting effects of social distancing should be reflected in the death and infection counts by the end of April. Using the data available through April 25th, we investigate the change in the infection rate due to the mitigation efforts and project death and infection counts through September 2020 for some of the most heavily impacted states: New York, New Jersey, Michigan, Massachusetts, Illinois, and Louisiana. We find that with the current mitigation efforts, five of those six states have reduced their base reproduction number to a value less than one, stopping the exponential growth of the pandemic. We also project different scenarios after the mitigation is relaxed.https://doi.org/10.1371/journal.pone.0240877
collection DOAJ
language English
format Article
sources DOAJ
author Ka-Ming Tam
Nicholas Walker
Juana Moreno
spellingShingle Ka-Ming Tam
Nicholas Walker
Juana Moreno
Effect of mitigation measures on the spreading of COVID-19 in hard-hit states in the U.S.
PLoS ONE
author_facet Ka-Ming Tam
Nicholas Walker
Juana Moreno
author_sort Ka-Ming Tam
title Effect of mitigation measures on the spreading of COVID-19 in hard-hit states in the U.S.
title_short Effect of mitigation measures on the spreading of COVID-19 in hard-hit states in the U.S.
title_full Effect of mitigation measures on the spreading of COVID-19 in hard-hit states in the U.S.
title_fullStr Effect of mitigation measures on the spreading of COVID-19 in hard-hit states in the U.S.
title_full_unstemmed Effect of mitigation measures on the spreading of COVID-19 in hard-hit states in the U.S.
title_sort effect of mitigation measures on the spreading of covid-19 in hard-hit states in the u.s.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description State government-mandated social distancing measures have helped to slow the growth of the COVID-19 pandemic in the United States. Many of the current predictive models of the development of COVID-19, especially after mitigation efforts, partially rely on extrapolations from data collected in other countries. Since most states enacted stay-at-home orders towards the end of March, the resulting effects of social distancing should be reflected in the death and infection counts by the end of April. Using the data available through April 25th, we investigate the change in the infection rate due to the mitigation efforts and project death and infection counts through September 2020 for some of the most heavily impacted states: New York, New Jersey, Michigan, Massachusetts, Illinois, and Louisiana. We find that with the current mitigation efforts, five of those six states have reduced their base reproduction number to a value less than one, stopping the exponential growth of the pandemic. We also project different scenarios after the mitigation is relaxed.
url https://doi.org/10.1371/journal.pone.0240877
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