Impact of asymptomatic COVID-19 carriers on pandemic policy outcomes

This paper provides a mathematical model that makes it clearly visible why the underestimation of r, the fraction of asymptomatic COVID-19 carriers in the general population, may lead to a catastrophic reliance on the standard policy intervention that attempts to isolate all confirmed infectious cas...

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Autores principales: Weijie Pang, Hassan Chehaitli, T.R. Hurd
Formato: article
Lenguaje:EN
Publicado: KeAi Communications Co., Ltd. 2022
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Acceso en línea:https://doaj.org/article/cccece0c5d094a27b01b487957bd97f2
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spelling oai:doaj.org-article:cccece0c5d094a27b01b487957bd97f22021-11-28T04:35:44ZImpact of asymptomatic COVID-19 carriers on pandemic policy outcomes2468-042710.1016/j.idm.2021.11.003https://doaj.org/article/cccece0c5d094a27b01b487957bd97f22022-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2468042721000713https://doaj.org/toc/2468-0427This paper provides a mathematical model that makes it clearly visible why the underestimation of r, the fraction of asymptomatic COVID-19 carriers in the general population, may lead to a catastrophic reliance on the standard policy intervention that attempts to isolate all confirmed infectious cases. The SE(A+O)R model with infectives separated into asymptomatic and ordinary carriers, supplemented by a model of the data generation process, is calibrated to standard early pandemic datasets for two countries. It is shown that certain fundamental parameters, critically r, are unidentifiable with this data. A general analytical framework is presented that projects the impact of different types of policy intervention. It is found that the lack of parameter identifiability implies that some, but not all, potential policy interventions can be correctly predicted. In an example representing Italy in March 2020, a hypothetical optimal policy of isolating confirmed cases that aims to reduce the basic reproduction number R0 of the outbreak from 4.4 to 0.8 assuming r = 0, only achieves 3.8 if it turns out that r = 40%.Weijie PangHassan ChehaitliT.R. HurdKeAi Communications Co., Ltd.articleInfectious disease modelCOVID-19Pre-symptomaticNon-pharmaceutical interventionSIR modelInfectious and parasitic diseasesRC109-216ENInfectious Disease Modelling, Vol 7, Iss 1, Pp 16-29 (2022)
institution DOAJ
collection DOAJ
language EN
topic Infectious disease model
COVID-19
Pre-symptomatic
Non-pharmaceutical intervention
SIR model
Infectious and parasitic diseases
RC109-216
spellingShingle Infectious disease model
COVID-19
Pre-symptomatic
Non-pharmaceutical intervention
SIR model
Infectious and parasitic diseases
RC109-216
Weijie Pang
Hassan Chehaitli
T.R. Hurd
Impact of asymptomatic COVID-19 carriers on pandemic policy outcomes
description This paper provides a mathematical model that makes it clearly visible why the underestimation of r, the fraction of asymptomatic COVID-19 carriers in the general population, may lead to a catastrophic reliance on the standard policy intervention that attempts to isolate all confirmed infectious cases. The SE(A+O)R model with infectives separated into asymptomatic and ordinary carriers, supplemented by a model of the data generation process, is calibrated to standard early pandemic datasets for two countries. It is shown that certain fundamental parameters, critically r, are unidentifiable with this data. A general analytical framework is presented that projects the impact of different types of policy intervention. It is found that the lack of parameter identifiability implies that some, but not all, potential policy interventions can be correctly predicted. In an example representing Italy in March 2020, a hypothetical optimal policy of isolating confirmed cases that aims to reduce the basic reproduction number R0 of the outbreak from 4.4 to 0.8 assuming r = 0, only achieves 3.8 if it turns out that r = 40%.
format article
author Weijie Pang
Hassan Chehaitli
T.R. Hurd
author_facet Weijie Pang
Hassan Chehaitli
T.R. Hurd
author_sort Weijie Pang
title Impact of asymptomatic COVID-19 carriers on pandemic policy outcomes
title_short Impact of asymptomatic COVID-19 carriers on pandemic policy outcomes
title_full Impact of asymptomatic COVID-19 carriers on pandemic policy outcomes
title_fullStr Impact of asymptomatic COVID-19 carriers on pandemic policy outcomes
title_full_unstemmed Impact of asymptomatic COVID-19 carriers on pandemic policy outcomes
title_sort impact of asymptomatic covid-19 carriers on pandemic policy outcomes
publisher KeAi Communications Co., Ltd.
publishDate 2022
url https://doaj.org/article/cccece0c5d094a27b01b487957bd97f2
work_keys_str_mv AT weijiepang impactofasymptomaticcovid19carriersonpandemicpolicyoutcomes
AT hassanchehaitli impactofasymptomaticcovid19carriersonpandemicpolicyoutcomes
AT trhurd impactofasymptomaticcovid19carriersonpandemicpolicyoutcomes
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