TY - JOUR
T1 - Manipulación, análisis y visualización de datos de la encuesta demográfica y de salud familiar con el programa r
AU - Hernández-Vásquez, Akram
AU - Chacón-Torrico, Horacio
N1 - Publisher Copyright:
© 2019, Instituto Nacional de Salud. All rights reserved.
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
KW - Data science
KW - Epidemiological surveys
KW - Hypertension
KW - Obesity
KW - Peru (source: MeSH NLM)
KW - Statistics as a matter
UR - http://www.scopus.com/inward/record.url?scp=85066033451&partnerID=8YFLogxK
U2 - 10.17843/rpmesp.2019.361.4062
DO - 10.17843/rpmesp.2019.361.4062
M3 - Artículo
C2 - 31116326
AN - SCOPUS:85066033451
SN - 1726-4634
VL - 36
SP - 128
EP - 133
JO - Revista Peruana de Medicina Experimental y Salud Publica
JF - Revista Peruana de Medicina Experimental y Salud Publica
IS - 1
ER -