Cargando…
Early intervention is the key to success in COVID-19 control
New Zealand responded to the COVID-19 pandemic with a combination of border restrictions and an Alert Level (AL) system that included strict stay-at-home orders. These interventions were successful in containing an outbreak and ultimately eliminating community transmission of COVID-19 in June 2020....
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596003/ https://www.ncbi.nlm.nih.gov/pubmed/34804563 http://dx.doi.org/10.1098/rsos.210488 |
_version_ | 1784600268717948928 |
---|---|
author | Binny, Rachelle N. Baker, Michael G. Hendy, Shaun C. James, Alex Lustig, Audrey Plank, Michael J. Ridings, Kannan M. Steyn, Nicholas |
author_facet | Binny, Rachelle N. Baker, Michael G. Hendy, Shaun C. James, Alex Lustig, Audrey Plank, Michael J. Ridings, Kannan M. Steyn, Nicholas |
author_sort | Binny, Rachelle N. |
collection | PubMed |
description | New Zealand responded to the COVID-19 pandemic with a combination of border restrictions and an Alert Level (AL) system that included strict stay-at-home orders. These interventions were successful in containing an outbreak and ultimately eliminating community transmission of COVID-19 in June 2020. The timing of interventions is crucial to their success. Delaying interventions may reduce their effectiveness and mean that they need to be maintained for a longer period. We use a stochastic branching process model of COVID-19 transmission and control to simulate the epidemic trajectory in New Zealand's March–April 2020 outbreak and the effect of its interventions. We calculate key measures, including the number of reported cases and deaths, and the probability of elimination within a specified time frame. By comparing these measures under alternative timings of interventions, we show that changing the timing of AL4 (the strictest level of restrictions) has a far greater impact than the timing of border measures. Delaying AL4 restrictions results in considerably worse outcomes. Implementing border measures alone, without AL4 restrictions, is insufficient to control the outbreak. We conclude that the early introduction of stay-at-home orders was crucial in reducing the number of cases and deaths, enabling elimination. |
format | Online Article Text |
id | pubmed-8596003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-85960032021-11-19 Early intervention is the key to success in COVID-19 control Binny, Rachelle N. Baker, Michael G. Hendy, Shaun C. James, Alex Lustig, Audrey Plank, Michael J. Ridings, Kannan M. Steyn, Nicholas R Soc Open Sci Mathematics New Zealand responded to the COVID-19 pandemic with a combination of border restrictions and an Alert Level (AL) system that included strict stay-at-home orders. These interventions were successful in containing an outbreak and ultimately eliminating community transmission of COVID-19 in June 2020. The timing of interventions is crucial to their success. Delaying interventions may reduce their effectiveness and mean that they need to be maintained for a longer period. We use a stochastic branching process model of COVID-19 transmission and control to simulate the epidemic trajectory in New Zealand's March–April 2020 outbreak and the effect of its interventions. We calculate key measures, including the number of reported cases and deaths, and the probability of elimination within a specified time frame. By comparing these measures under alternative timings of interventions, we show that changing the timing of AL4 (the strictest level of restrictions) has a far greater impact than the timing of border measures. Delaying AL4 restrictions results in considerably worse outcomes. Implementing border measures alone, without AL4 restrictions, is insufficient to control the outbreak. We conclude that the early introduction of stay-at-home orders was crucial in reducing the number of cases and deaths, enabling elimination. The Royal Society 2021-11-17 /pmc/articles/PMC8596003/ /pubmed/34804563 http://dx.doi.org/10.1098/rsos.210488 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Mathematics Binny, Rachelle N. Baker, Michael G. Hendy, Shaun C. James, Alex Lustig, Audrey Plank, Michael J. Ridings, Kannan M. Steyn, Nicholas Early intervention is the key to success in COVID-19 control |
title | Early intervention is the key to success in COVID-19 control |
title_full | Early intervention is the key to success in COVID-19 control |
title_fullStr | Early intervention is the key to success in COVID-19 control |
title_full_unstemmed | Early intervention is the key to success in COVID-19 control |
title_short | Early intervention is the key to success in COVID-19 control |
title_sort | early intervention is the key to success in covid-19 control |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596003/ https://www.ncbi.nlm.nih.gov/pubmed/34804563 http://dx.doi.org/10.1098/rsos.210488 |
work_keys_str_mv | AT binnyrachellen earlyinterventionisthekeytosuccessincovid19control AT bakermichaelg earlyinterventionisthekeytosuccessincovid19control AT hendyshaunc earlyinterventionisthekeytosuccessincovid19control AT jamesalex earlyinterventionisthekeytosuccessincovid19control AT lustigaudrey earlyinterventionisthekeytosuccessincovid19control AT plankmichaelj earlyinterventionisthekeytosuccessincovid19control AT ridingskannanm earlyinterventionisthekeytosuccessincovid19control AT steynnicholas earlyinterventionisthekeytosuccessincovid19control |