Optimal allocation of resources to healthcare workers or the general populace: a modelling study

We consider a model that distinguishes susceptible; infected, but not yet infectious; pre-symptomatic, symptomatic, asymptomatic, and hospitalized infectious; recovered and dead members of two groups: healthcare workers (HCW) and members of the community that they serve. Because of the frequency or...

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Autores principales:	MyVan Vo, Joshua A. Glasser, Zhilan Feng
Formato:	article
Lenguaje:	EN
Publicado:	The Royal Society 2021
Materias:	meta-population modelling transmission of SARS-CoV-2 strategies for optimal control and minimal final size Science Q
Acceso en línea:	https://doaj.org/article/1750b3563927406db92eb01141701ee5
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spelling	oai:doaj.org-article:1750b3563927406db92eb01141701ee52021-11-24T08:05:47ZOptimal allocation of resources to healthcare workers or the general populace: a modelling study10.1098/rsos.2108232054-5703https://doaj.org/article/1750b3563927406db92eb01141701ee52021-11-01T00:00:00Zhttps://royalsocietypublishing.org/doi/10.1098/rsos.210823https://doaj.org/toc/2054-5703We consider a model that distinguishes susceptible; infected, but not yet infectious; pre-symptomatic, symptomatic, asymptomatic, and hospitalized infectious; recovered and dead members of two groups: healthcare workers (HCW) and members of the community that they serve. Because of the frequency or duration of their exposures to SARS-CoV-2, a greater fraction of HCW would experience severe COVID-19 symptoms that require medical care, which reduces mortality rates, absent personal protective equipment (PPE). While N95 masks (and, possibly, other scarce medical resources) are available to members of both groups, they do not use them equally well (i.e. efficacy and compliance differ). We investigated the optimal allocation of potentially scarce medical resources between these groups to control the pandemic and reduce overall infections and mortality via derivation and analysis of expressions for the reproduction numbers and final size. We also simulated prevalence and cumulative incidence, quantities relevant to surge capacity and population immunity, respectively. We found that, under realistic conditions, the optimal allocation is virtually or entirely to HCW, but that allocation of surplus masks and other medical resources to members of the general community also reduces infections and deaths.MyVan VoJoshua A. GlasserZhilan FengThe Royal Societyarticlemeta-population modellingtransmission of SARS-CoV-2strategies for optimal control and minimal final sizeScienceQENRoyal Society Open Science, Vol 8, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	meta-population modelling transmission of SARS-CoV-2 strategies for optimal control and minimal final size Science Q
spellingShingle	meta-population modelling transmission of SARS-CoV-2 strategies for optimal control and minimal final size Science Q MyVan Vo Joshua A. Glasser Zhilan Feng Optimal allocation of resources to healthcare workers or the general populace: a modelling study
description	We consider a model that distinguishes susceptible; infected, but not yet infectious; pre-symptomatic, symptomatic, asymptomatic, and hospitalized infectious; recovered and dead members of two groups: healthcare workers (HCW) and members of the community that they serve. Because of the frequency or duration of their exposures to SARS-CoV-2, a greater fraction of HCW would experience severe COVID-19 symptoms that require medical care, which reduces mortality rates, absent personal protective equipment (PPE). While N95 masks (and, possibly, other scarce medical resources) are available to members of both groups, they do not use them equally well (i.e. efficacy and compliance differ). We investigated the optimal allocation of potentially scarce medical resources between these groups to control the pandemic and reduce overall infections and mortality via derivation and analysis of expressions for the reproduction numbers and final size. We also simulated prevalence and cumulative incidence, quantities relevant to surge capacity and population immunity, respectively. We found that, under realistic conditions, the optimal allocation is virtually or entirely to HCW, but that allocation of surplus masks and other medical resources to members of the general community also reduces infections and deaths.
format	article
author	MyVan Vo Joshua A. Glasser Zhilan Feng
author_facet	MyVan Vo Joshua A. Glasser Zhilan Feng
author_sort	MyVan Vo
title	Optimal allocation of resources to healthcare workers or the general populace: a modelling study
title_short	Optimal allocation of resources to healthcare workers or the general populace: a modelling study
title_full	Optimal allocation of resources to healthcare workers or the general populace: a modelling study
title_fullStr	Optimal allocation of resources to healthcare workers or the general populace: a modelling study
title_full_unstemmed	Optimal allocation of resources to healthcare workers or the general populace: a modelling study
title_sort	optimal allocation of resources to healthcare workers or the general populace: a modelling study
publisher	The Royal Society
publishDate	2021
url	https://doaj.org/article/1750b3563927406db92eb01141701ee5
work_keys_str_mv	AT myvanvo optimalallocationofresourcestohealthcareworkersorthegeneralpopulaceamodellingstudy AT joshuaaglasser optimalallocationofresourcestohealthcareworkersorthegeneralpopulaceamodellingstudy AT zhilanfeng optimalallocationofresourcestohealthcareworkersorthegeneralpopulaceamodellingstudy
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Optimal allocation of resources to healthcare workers or the general populace: a modelling study

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