Manipulation, analysis, and visualization of data from the demographic and family health survey with the r program

Descripción del Articulo

The Demographic and Family Health Survey (ENDES, in Spanish) is a national population-based survey with representation at the departmental level and area of residence, constituting a source of information on the health status of the Peruvian population. In order to standardize its processing and sub...

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Detalles Bibliográficos
Autores: Hernándezm Vásquez, Akram, Chacón Torrico, Horacio
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad San Ignacio de Loyola
Repositorio:USIL-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.usil.edu.pe:20.500.14005/9084
Enlace del recurso:https://hdl.handle.net/20.500.14005/9084
http://dx.doi.org/10.17843/rpmesp.2019.361.4062
Nivel de acceso:acceso abierto
Materia:Information processing
Public health
Health survey
Data visualization
Statistical analysis
Descripción
Sumario:The Demographic and Family Health Survey (ENDES, in Spanish) is a national population-based survey with representation at the departmental level and area of residence, constituting a source of information on the health status of the Peruvian population. In order to standardize its processing and subsequent reuse by the academic community and other stakeholders, we documented the code for the manipulation, analysis, and visualization of data from the ENDES 2017 health questionnaire, through an example on the prevalence of hypertension and obesity, using the R statistical programming environment and language. The R code is presented and detailed sequentially, as well as the theoretical support of the survey structure for the manipulation of databases, considering that the complex structure of the ENDES could be a potential barrier faced by researchers. Finally, this example can serve as a basis for generating further studies based on the ENDES that are relevant to public health decision-making.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).