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A benefit–cost analysis of different response scenarios to COVID‐19: A case study

BACKGROUND: This paper compares the direct benefits to the State of Western Australia from employing a “suppression” policy response to the COVID‐19 pandemic rather than a “herd immunity” approach. METHODS: An S‐I‐R (susceptible‐infectious‐resolved) model is used to estimate the likely benefits of a...

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Autores principales: Cook, David C., Fraser, Rob W., McKirdy, Simon J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177900/
https://www.ncbi.nlm.nih.gov/pubmed/34136653
http://dx.doi.org/10.1002/hsr2.286
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author Cook, David C.
Fraser, Rob W.
McKirdy, Simon J.
author_facet Cook, David C.
Fraser, Rob W.
McKirdy, Simon J.
author_sort Cook, David C.
collection PubMed
description BACKGROUND: This paper compares the direct benefits to the State of Western Australia from employing a “suppression” policy response to the COVID‐19 pandemic rather than a “herd immunity” approach. METHODS: An S‐I‐R (susceptible‐infectious‐resolved) model is used to estimate the likely benefits of a suppression COVID‐19 response compared to a herd immunity alternative. Direct impacts of the virus are calculated on the basis of sick leave, hospitalizations, and fatalities, while indirect impacts related to response actions are excluded. RESULTS: Preliminary modeling indicates that approximately 1700 vulnerable person deaths are likely to have been prevented over 1 year from adopting a suppression response rather than a herd immunity response, and approximately 4500 hospitalizations. These benefits are valued at around AUD4.7 billion. If a do nothing policy had been adopted, the number of people in need of hospitalization is likely to have overwhelmed the hospital system within 50 days of the virus being introduced. Maximum hospital capacity is unlikely to be reached in either a suppression policy or a herd immunity policy. CONCLUSION: Using early international estimates to represent the negative impact each type of policy response is likely to have on gross state product, results suggest the benefit–cost ratio for the suppression policy is slightly higher than that of the herd immunity policy, but both benefit–cost ratios are less than one.
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spelling pubmed-81779002021-06-15 A benefit–cost analysis of different response scenarios to COVID‐19: A case study Cook, David C. Fraser, Rob W. McKirdy, Simon J. Health Sci Rep Research Articles BACKGROUND: This paper compares the direct benefits to the State of Western Australia from employing a “suppression” policy response to the COVID‐19 pandemic rather than a “herd immunity” approach. METHODS: An S‐I‐R (susceptible‐infectious‐resolved) model is used to estimate the likely benefits of a suppression COVID‐19 response compared to a herd immunity alternative. Direct impacts of the virus are calculated on the basis of sick leave, hospitalizations, and fatalities, while indirect impacts related to response actions are excluded. RESULTS: Preliminary modeling indicates that approximately 1700 vulnerable person deaths are likely to have been prevented over 1 year from adopting a suppression response rather than a herd immunity response, and approximately 4500 hospitalizations. These benefits are valued at around AUD4.7 billion. If a do nothing policy had been adopted, the number of people in need of hospitalization is likely to have overwhelmed the hospital system within 50 days of the virus being introduced. Maximum hospital capacity is unlikely to be reached in either a suppression policy or a herd immunity policy. CONCLUSION: Using early international estimates to represent the negative impact each type of policy response is likely to have on gross state product, results suggest the benefit–cost ratio for the suppression policy is slightly higher than that of the herd immunity policy, but both benefit–cost ratios are less than one. John Wiley and Sons Inc. 2021-06-04 /pmc/articles/PMC8177900/ /pubmed/34136653 http://dx.doi.org/10.1002/hsr2.286 Text en © 2021 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Cook, David C.
Fraser, Rob W.
McKirdy, Simon J.
A benefit–cost analysis of different response scenarios to COVID‐19: A case study
title A benefit–cost analysis of different response scenarios to COVID‐19: A case study
title_full A benefit–cost analysis of different response scenarios to COVID‐19: A case study
title_fullStr A benefit–cost analysis of different response scenarios to COVID‐19: A case study
title_full_unstemmed A benefit–cost analysis of different response scenarios to COVID‐19: A case study
title_short A benefit–cost analysis of different response scenarios to COVID‐19: A case study
title_sort benefit–cost analysis of different response scenarios to covid‐19: a case study
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177900/
https://www.ncbi.nlm.nih.gov/pubmed/34136653
http://dx.doi.org/10.1002/hsr2.286
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