Adoption and impact of non-pharmaceutical interventions for COVID-19 [version 1; peer review: 1 approved, 2 approved with reservations]

Background: Several non-pharmaceutical interventions (NPIs) have been implemented across the world to control the coronavirus disease (COVID-19) pandemic. Social distancing (SD) interventions applied so far have included school closures, remote working and quarantine. These measures have been shown...

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Main Authors: Natsuko Imai, Katy A.M. Gaythorpe, Sam Abbott, Sangeeta Bhatia, Sabine van Elsland, Kiesha Prem, Yang Liu, Neil M. Ferguson
Format: Article
Language:English
Published: Wellcome 2020-04-01
Series:Wellcome Open Research
Online Access:https://wellcomeopenresearch.org/articles/5-59/v1
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spelling doaj-fd69441d6a7d4eb388b8c96515c581e42020-11-25T03:13:58ZengWellcomeWellcome Open Research2398-502X2020-04-01510.12688/wellcomeopenres.15808.117336Adoption and impact of non-pharmaceutical interventions for COVID-19 [version 1; peer review: 1 approved, 2 approved with reservations]Natsuko Imai0Katy A.M. Gaythorpe1Sam Abbott2Sangeeta Bhatia3Sabine van Elsland4Kiesha Prem5Yang Liu6Neil M. Ferguson7MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UKMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UKCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UKMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UKMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UKCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UKMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UKBackground: Several non-pharmaceutical interventions (NPIs) have been implemented across the world to control the coronavirus disease (COVID-19) pandemic. Social distancing (SD) interventions applied so far have included school closures, remote working and quarantine. These measures have been shown to have large impacts on pandemic influenza transmission. However, there has been comparatively little examination of such measures for COVID-19. Methods: We examined the existing literature, and collated data, on implementation of NPIs to examine their effects on the COVID-19 pandemic so far. Data on NPIs were collected from official government websites as well as from media sources. Results: Measures such as travel restrictions have been implemented in multiple countries and appears to have slowed the geographic spread of COVID-19 and reduced initial case numbers. We find that, due to the relatively sparse information on the differences with and without interventions, it is difficult to quantitatively assess the efficacy of many interventions. Similarly, whilst the comparison to other pandemic diseases such as influenza can be helpful, there are key differences that could affect the efficacy of similar NPIs. Conclusions: The timely implementation of control measures is key to their success and must strike a balance between early enough application to reduce the peak of the epidemic and ensuring that they can be feasibly maintained for an appropriate duration. Such measures can have large societal impacts and they need to be appropriately justified to the population. As the pandemic of COVID-19 progresses, quantifying the impact of interventions will be a vital consideration for the appropriate use of mitigation strategies.https://wellcomeopenresearch.org/articles/5-59/v1
collection DOAJ
language English
format Article
sources DOAJ
author Natsuko Imai
Katy A.M. Gaythorpe
Sam Abbott
Sangeeta Bhatia
Sabine van Elsland
Kiesha Prem
Yang Liu
Neil M. Ferguson
spellingShingle Natsuko Imai
Katy A.M. Gaythorpe
Sam Abbott
Sangeeta Bhatia
Sabine van Elsland
Kiesha Prem
Yang Liu
Neil M. Ferguson
Adoption and impact of non-pharmaceutical interventions for COVID-19 [version 1; peer review: 1 approved, 2 approved with reservations]
Wellcome Open Research
author_facet Natsuko Imai
Katy A.M. Gaythorpe
Sam Abbott
Sangeeta Bhatia
Sabine van Elsland
Kiesha Prem
Yang Liu
Neil M. Ferguson
author_sort Natsuko Imai
title Adoption and impact of non-pharmaceutical interventions for COVID-19 [version 1; peer review: 1 approved, 2 approved with reservations]
title_short Adoption and impact of non-pharmaceutical interventions for COVID-19 [version 1; peer review: 1 approved, 2 approved with reservations]
title_full Adoption and impact of non-pharmaceutical interventions for COVID-19 [version 1; peer review: 1 approved, 2 approved with reservations]
title_fullStr Adoption and impact of non-pharmaceutical interventions for COVID-19 [version 1; peer review: 1 approved, 2 approved with reservations]
title_full_unstemmed Adoption and impact of non-pharmaceutical interventions for COVID-19 [version 1; peer review: 1 approved, 2 approved with reservations]
title_sort adoption and impact of non-pharmaceutical interventions for covid-19 [version 1; peer review: 1 approved, 2 approved with reservations]
publisher Wellcome
series Wellcome Open Research
issn 2398-502X
publishDate 2020-04-01
description Background: Several non-pharmaceutical interventions (NPIs) have been implemented across the world to control the coronavirus disease (COVID-19) pandemic. Social distancing (SD) interventions applied so far have included school closures, remote working and quarantine. These measures have been shown to have large impacts on pandemic influenza transmission. However, there has been comparatively little examination of such measures for COVID-19. Methods: We examined the existing literature, and collated data, on implementation of NPIs to examine their effects on the COVID-19 pandemic so far. Data on NPIs were collected from official government websites as well as from media sources. Results: Measures such as travel restrictions have been implemented in multiple countries and appears to have slowed the geographic spread of COVID-19 and reduced initial case numbers. We find that, due to the relatively sparse information on the differences with and without interventions, it is difficult to quantitatively assess the efficacy of many interventions. Similarly, whilst the comparison to other pandemic diseases such as influenza can be helpful, there are key differences that could affect the efficacy of similar NPIs. Conclusions: The timely implementation of control measures is key to their success and must strike a balance between early enough application to reduce the peak of the epidemic and ensuring that they can be feasibly maintained for an appropriate duration. Such measures can have large societal impacts and they need to be appropriately justified to the population. As the pandemic of COVID-19 progresses, quantifying the impact of interventions will be a vital consideration for the appropriate use of mitigation strategies.
url https://wellcomeopenresearch.org/articles/5-59/v1
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