Simplified mathematical modelling of uncertainty

Detalhes bibliográficos
Autor(a) principal: Marco-Franco, Julio Emilio
Data de Publicação: 2021
Outros Autores: Barros, Pedro P., González-De-Julián, Silvia, Sabat, Iryna, Vivas-Consuelo, David
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/121433
Resumo: When exceptional situations, such as the COVID-19 pandemic, arise and reliable data is not available at decision-making times, estimation using mathematical models can provide a reasonable reckoning for health planning. We present a simplified model (static but with two-time references) for estimating the cost-effectiveness of the COVID-19 vaccine. A simplified model provides a quick assessment of the upper bound of cost-effectiveness, as we illustrate with data from Spain, and allows for easy comparisons between countries. It may also provide useful comparisons among different vaccines at the marketplace, from the perspective of the buyer. From the analysis of this information, key epidemiological figures, and costs of the disease for Spain have been estimated, based on mortality. The fatality rate is robust data that can alternatively be obtained from death registers, funeral homes, cemeteries, and crematoria. Our model estimates the incremental cost-effectiveness ratio (ICER) to be 5132 € (4926–5276) as of 17 February 2021, based on the following assumptions/inputs: An estimated cost of 30 euros per dose (plus transport, storing, and administration), two doses per person, efficacy of 70% and coverage of 70% of the population. Even considering the possibility of some bias, this simplified model provides confirmation that vaccination against COVID-19 is highly cost-effective.
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spelling Simplified mathematical modelling of uncertaintycost-effectiveness of covid-19 vaccines in SpainBest Adjustment of Related Values (BARV)Collective choiceCoronavirusCost-Effectiveness Analysis (CEA)COVID-19 vaccinationDiscount rateHealth economics modellingHealthcare expendituresIncremental Cost Effectiveness Ratio (ICER)Mathematical modellingQuality Adjusted Life Years (QALY)Mathematics(all)SDG 3 - Good Health and Well-beingWhen exceptional situations, such as the COVID-19 pandemic, arise and reliable data is not available at decision-making times, estimation using mathematical models can provide a reasonable reckoning for health planning. We present a simplified model (static but with two-time references) for estimating the cost-effectiveness of the COVID-19 vaccine. A simplified model provides a quick assessment of the upper bound of cost-effectiveness, as we illustrate with data from Spain, and allows for easy comparisons between countries. It may also provide useful comparisons among different vaccines at the marketplace, from the perspective of the buyer. From the analysis of this information, key epidemiological figures, and costs of the disease for Spain have been estimated, based on mortality. The fatality rate is robust data that can alternatively be obtained from death registers, funeral homes, cemeteries, and crematoria. Our model estimates the incremental cost-effectiveness ratio (ICER) to be 5132 € (4926–5276) as of 17 February 2021, based on the following assumptions/inputs: An estimated cost of 30 euros per dose (plus transport, storing, and administration), two doses per person, efficacy of 70% and coverage of 70% of the population. Even considering the possibility of some bias, this simplified model provides confirmation that vaccination against COVID-19 is highly cost-effective.NOVA School of Business and Economics (NOVA SBE)RUNMarco-Franco, Julio EmilioBarros, Pedro P.González-De-Julián, SilviaSabat, IrynaVivas-Consuelo, David2021-07-21T22:19:28Z2021-03-012021-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/121433eng2227-7390PURE: 29008995https://doi.org/10.3390/math9050566info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:03:43Zoai:run.unl.pt:10362/121433Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:36.301873Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Simplified mathematical modelling of uncertainty
cost-effectiveness of covid-19 vaccines in Spain
title Simplified mathematical modelling of uncertainty
spellingShingle Simplified mathematical modelling of uncertainty
Marco-Franco, Julio Emilio
Best Adjustment of Related Values (BARV)
Collective choice
Coronavirus
Cost-Effectiveness Analysis (CEA)
COVID-19 vaccination
Discount rate
Health economics modelling
Healthcare expenditures
Incremental Cost Effectiveness Ratio (ICER)
Mathematical modelling
Quality Adjusted Life Years (QALY)
Mathematics(all)
SDG 3 - Good Health and Well-being
title_short Simplified mathematical modelling of uncertainty
title_full Simplified mathematical modelling of uncertainty
title_fullStr Simplified mathematical modelling of uncertainty
title_full_unstemmed Simplified mathematical modelling of uncertainty
title_sort Simplified mathematical modelling of uncertainty
author Marco-Franco, Julio Emilio
author_facet Marco-Franco, Julio Emilio
Barros, Pedro P.
González-De-Julián, Silvia
Sabat, Iryna
Vivas-Consuelo, David
author_role author
author2 Barros, Pedro P.
González-De-Julián, Silvia
Sabat, Iryna
Vivas-Consuelo, David
author2_role author
author
author
author
dc.contributor.none.fl_str_mv NOVA School of Business and Economics (NOVA SBE)
RUN
dc.contributor.author.fl_str_mv Marco-Franco, Julio Emilio
Barros, Pedro P.
González-De-Julián, Silvia
Sabat, Iryna
Vivas-Consuelo, David
dc.subject.por.fl_str_mv Best Adjustment of Related Values (BARV)
Collective choice
Coronavirus
Cost-Effectiveness Analysis (CEA)
COVID-19 vaccination
Discount rate
Health economics modelling
Healthcare expenditures
Incremental Cost Effectiveness Ratio (ICER)
Mathematical modelling
Quality Adjusted Life Years (QALY)
Mathematics(all)
SDG 3 - Good Health and Well-being
topic Best Adjustment of Related Values (BARV)
Collective choice
Coronavirus
Cost-Effectiveness Analysis (CEA)
COVID-19 vaccination
Discount rate
Health economics modelling
Healthcare expenditures
Incremental Cost Effectiveness Ratio (ICER)
Mathematical modelling
Quality Adjusted Life Years (QALY)
Mathematics(all)
SDG 3 - Good Health and Well-being
description When exceptional situations, such as the COVID-19 pandemic, arise and reliable data is not available at decision-making times, estimation using mathematical models can provide a reasonable reckoning for health planning. We present a simplified model (static but with two-time references) for estimating the cost-effectiveness of the COVID-19 vaccine. A simplified model provides a quick assessment of the upper bound of cost-effectiveness, as we illustrate with data from Spain, and allows for easy comparisons between countries. It may also provide useful comparisons among different vaccines at the marketplace, from the perspective of the buyer. From the analysis of this information, key epidemiological figures, and costs of the disease for Spain have been estimated, based on mortality. The fatality rate is robust data that can alternatively be obtained from death registers, funeral homes, cemeteries, and crematoria. Our model estimates the incremental cost-effectiveness ratio (ICER) to be 5132 € (4926–5276) as of 17 February 2021, based on the following assumptions/inputs: An estimated cost of 30 euros per dose (plus transport, storing, and administration), two doses per person, efficacy of 70% and coverage of 70% of the population. Even considering the possibility of some bias, this simplified model provides confirmation that vaccination against COVID-19 is highly cost-effective.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-21T22:19:28Z
2021-03-01
2021-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/121433
url http://hdl.handle.net/10362/121433
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2227-7390
PURE: 29008995
https://doi.org/10.3390/math9050566
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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