Simplified mathematical modelling of uncertainty
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , |
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. |
id |
RCAP_5b27e3de8b3016f1ad8e423c93131cf9 |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/121433 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799138053333188608 |