The role of computer simulation models in the design of public policies

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Cardiovascular diseases are the number one cause of death globally, but their optimal prevention remains a challenge. A high-risk approach can only have a limited effect at a population level, while population-based strategies can improve and extend the coverage of a high-risk approach. However, o...

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Detalles Bibliográficos
Autores principales: Salgado, Maria Victoria, O'Flaherty, Enrique, Mejía, Raúl M
Formato: Artículo
Lenguaje:en_US
Publicado: 2020
Materias:
Simulación por Computador
Salud pública
POLITICAS PUBLICAS
POLITICAS PUBLICAS DE SALUD
Acceso en línea:http://repositorio.cedes.org/handle/123456789/4573
Aporte de:
Respositorio Digital CRIS del CEDES - Centro de Estudios de Estado y Sociedad de Centro de Estudios de Estado y Sociedad (CEDES)
id I61-R167123456789-4573
record_format dspace
institution Centro de Estudios de Estado y Sociedad (CEDES)
institution_str I-61
repository_str R-167
collection Respositorio Digital CRIS del CEDES - Centro de Estudios de Estado y Sociedad
language en_US
orig_language_str_mv en_US
topic Simulación por Computador
Salud pública
POLITICAS PUBLICAS
POLITICAS PUBLICAS DE SALUD
spellingShingle Simulación por Computador
Salud pública
POLITICAS PUBLICAS
POLITICAS PUBLICAS DE SALUD
Salgado, Maria Victoria
O'Flaherty, Enrique
Mejía, Raúl M
The role of computer simulation models in the design of public policies
topic_facet Simulación por Computador
Salud pública
POLITICAS PUBLICAS
POLITICAS PUBLICAS DE SALUD
description Cardiovascular diseases are the number one cause of death globally, but their optimal prevention remains a challenge. A high-risk approach can only have a limited effect at a population level, while population-based strategies can improve and extend the coverage of a high-risk approach. However, one main problem for promoting cardiovascular diseases prevention public policies is the difficulty to foresee population health benefits of a single policy. Computer simulation models can assist with this problem, due to their ability to estimate intervention effects over different periods, and by scaling up the evidence to a broader, more diverse population. Their applicability to countries with different social, political and economic contexts can assist in the design of public policies. There are several models that assess health and economics scenarios, but regardless which model is chosen, when adequately used, they can provide reasonable estimations of health policies’ impact. There is a growing consensus amongst the public health communities about the powerful role of population-level policies. They are more effective, cost saving and more equitable when compared with individual-level interventions. Policy makers and the public health community need to make further progress in changing the focus of prevention, from individuals to populations.
format Artículo
author Salgado, Maria Victoria
O'Flaherty, Enrique
Mejía, Raúl M
author_facet Salgado, Maria Victoria
O'Flaherty, Enrique
Mejía, Raúl M
author_sort Salgado, Maria Victoria
title The role of computer simulation models in the design of public policies
title_short The role of computer simulation models in the design of public policies
title_full The role of computer simulation models in the design of public policies
title_fullStr The role of computer simulation models in the design of public policies
title_full_unstemmed The role of computer simulation models in the design of public policies
title_sort role of computer simulation models in the design of public policies
publishDate 2020
url http://repositorio.cedes.org/handle/123456789/4573
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