COVID-19 Healthcare Planning: Predicting Mortality and the Role of the Herd Immunity Barrier in the General Population
Julio Emilio Marco-Franco,
Natividad Guadalajara-Olmeda,
Silvia González- de Julián and
David Vivas-Consuelo
Additional contact information
Julio Emilio Marco-Franco: Research Centre for Economics Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
Natividad Guadalajara-Olmeda: Research Centre for Economics Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
Silvia González- de Julián: Research Centre for Economics Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
David Vivas-Consuelo: Research Unit for Health Economics and Management, Universitat Politècnica de València, 46022 Valencia, Spain
Sustainability, 2020, vol. 12, issue 13, 1-10
Abstract:
Using a mathematical model for COVID-19 incorporating data on excess of mortality compared to the corresponding period of the previous year obtained from the daily monitoring of mortality in Spain (MoMo), the prediction of total number of casualties in Spain for the first outbreak has been computed. From this figure, and following a stepwise meta-analysis of available reports, the case fatality rate (CFR) and the infectious case fatality rate (IFR) for the outbreak have been estimated. As the impact of age on these rates is notable, it is proposed to include an age-related adjusted fatality ratio in future comparative analyses between studies, calculated by adjusting the results by risk ratio to a reference age band (e.g., 60–69). From the casualty figures, and the corresponding CFR and IFR ratios, the forecast of serologically positive cases in the general Spanish population has been estimated at approximately 1% (0.87–1.3%) of the samples. If the data are confirmed by the ongoing study of the Carlos III Institute, until a vaccine is found, the immunity acquired in the general population after the infectious outbreak is far from the 65–70% herd immunity required as a barrier for COVID-19.
Keywords: healthcare planning; health economy; herd immunity; mathematical epidemiology; COVID-19; case fatality rate; infectious fatality rate; relative risk ratio; predictive modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2071-1050/12/13/5228/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/13/5228/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:13:p:5228-:d:377205
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().