Municipal-level covariates of health status in Brazil: a proposed method for data interpolation
OBJECTIVE: To propose a method for the interpolation of yearly local-level covariates of health status that is suitable for panel data analysis of the effect of health services. METHODS: The proposed method distributes the yearly rate of growth of covariates at the regional level (e.g., state) from...
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ftdoajarticles:oai:doaj.org/article:f9e9192171304401846fd24fe070436c 2023-05-15T15:12:04+02:00 Municipal-level covariates of health status in Brazil: a proposed method for data interpolation Frederico C. Guanais 2013-09-01T00:00:00Z https://doaj.org/article/f9e9192171304401846fd24fe070436c EN ES PT eng spa por Pan American Health Organization http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S1020-49892013000900007&lng=en&tlng=en https://doaj.org/toc/1020-4989 1020-4989 https://doaj.org/article/f9e9192171304401846fd24fe070436c Revista Panamericana de Salud Pública, Vol 34, Iss 3, Pp 190-197 (2013) Factores socioeconómicos salud de la familia mortalidad infantil modelos estadísticos Brasil Medicine R Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2013 ftdoajarticles 2022-12-31T14:50:42Z OBJECTIVE: To propose a method for the interpolation of yearly local-level covariates of health status that is suitable for panel data analysis of the effect of health services. METHODS: The proposed method distributes the yearly rate of growth of covariates at the regional level (e.g., state) from household survey data, and applies it to interpolate yearly data at the local level (e.g., municipality) between two consecutive census surveys. The method was applied to municipal-level socioeconomic covariates of health status in Brazil for every year between 2001 and 2009. The data was tested on a previously validated analysis of the effects of the Family Health Program on post-neonatal infant mortality in Brazil. RESULTS: A total of 895 628 values were generated for 20 socioeconomic predictors of health status. Valid data were obtained for 5 057 municipalities in the Northeast, Southeast, South, and Center-West regions of Brazil, from 2001 to 2009, covering 98.89% of the municipalities in these regions and 90.87% of municipalities in the country. A supplemental annex includes the interpolated data from 2001 to 2009, plus the 2000 and 2010 census data, for all 5 057 municipalities. An application on a fixed-effect regression model suggested that, compared to linear interpolation, the proposed method reduced multi-collinearity and improved the precision of the estimates of the effects of health services. CONCLUSIONS: The advantages of the proposed interpolation method suggest that it is a feasible solution for panel data analysis of health services at the local level in Brazil and other countries. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic |
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Directory of Open Access Journals: DOAJ Articles |
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language |
English Spanish Portuguese |
topic |
Factores socioeconómicos salud de la familia mortalidad infantil modelos estadísticos Brasil Medicine R Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Factores socioeconómicos salud de la familia mortalidad infantil modelos estadísticos Brasil Medicine R Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Frederico C. Guanais Municipal-level covariates of health status in Brazil: a proposed method for data interpolation |
topic_facet |
Factores socioeconómicos salud de la familia mortalidad infantil modelos estadísticos Brasil Medicine R Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
OBJECTIVE: To propose a method for the interpolation of yearly local-level covariates of health status that is suitable for panel data analysis of the effect of health services. METHODS: The proposed method distributes the yearly rate of growth of covariates at the regional level (e.g., state) from household survey data, and applies it to interpolate yearly data at the local level (e.g., municipality) between two consecutive census surveys. The method was applied to municipal-level socioeconomic covariates of health status in Brazil for every year between 2001 and 2009. The data was tested on a previously validated analysis of the effects of the Family Health Program on post-neonatal infant mortality in Brazil. RESULTS: A total of 895 628 values were generated for 20 socioeconomic predictors of health status. Valid data were obtained for 5 057 municipalities in the Northeast, Southeast, South, and Center-West regions of Brazil, from 2001 to 2009, covering 98.89% of the municipalities in these regions and 90.87% of municipalities in the country. A supplemental annex includes the interpolated data from 2001 to 2009, plus the 2000 and 2010 census data, for all 5 057 municipalities. An application on a fixed-effect regression model suggested that, compared to linear interpolation, the proposed method reduced multi-collinearity and improved the precision of the estimates of the effects of health services. CONCLUSIONS: The advantages of the proposed interpolation method suggest that it is a feasible solution for panel data analysis of health services at the local level in Brazil and other countries. |
format |
Article in Journal/Newspaper |
author |
Frederico C. Guanais |
author_facet |
Frederico C. Guanais |
author_sort |
Frederico C. Guanais |
title |
Municipal-level covariates of health status in Brazil: a proposed method for data interpolation |
title_short |
Municipal-level covariates of health status in Brazil: a proposed method for data interpolation |
title_full |
Municipal-level covariates of health status in Brazil: a proposed method for data interpolation |
title_fullStr |
Municipal-level covariates of health status in Brazil: a proposed method for data interpolation |
title_full_unstemmed |
Municipal-level covariates of health status in Brazil: a proposed method for data interpolation |
title_sort |
municipal-level covariates of health status in brazil: a proposed method for data interpolation |
publisher |
Pan American Health Organization |
publishDate |
2013 |
url |
https://doaj.org/article/f9e9192171304401846fd24fe070436c |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Revista Panamericana de Salud Pública, Vol 34, Iss 3, Pp 190-197 (2013) |
op_relation |
http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S1020-49892013000900007&lng=en&tlng=en https://doaj.org/toc/1020-4989 1020-4989 https://doaj.org/article/f9e9192171304401846fd24fe070436c |
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1766342806795714560 |