Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.

Objective: To evaluate the monthly rates of hospitalizations for childhood diarrhea in macro-regions of Araçatuba, Marília and Presidente Prudente, SP, between 2019 -June Between June 2009. Methods: The average rates and their standard deviations for admission of diarrhea in the target population w...

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Autores principales: Suelen Navas-Úbida, Rogério Giuffrida
Formato: article
Lenguaje:ES
Publicado: Centro Centroamericano de Población 2021
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Acceso en línea:https://doaj.org/article/7497b9e8134644748ad38a350805b3b5
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spelling oai:doaj.org-article:7497b9e8134644748ad38a350805b3b52021-12-01T01:36:16ZStatistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.10.15517/psm.v19i2.470111659-0201https://doaj.org/article/7497b9e8134644748ad38a350805b3b52021-07-01T00:00:00Zhttps://revistas.ucr.ac.cr/index.php/psm/article/view/47011https://doaj.org/toc/1659-0201 Objective: To evaluate the monthly rates of hospitalizations for childhood diarrhea in macro-regions of Araçatuba, Marília and Presidente Prudente, SP, between 2019 -June Between June 2009. Methods: The average rates and their standard deviations for admission of diarrhea in the target population were obtained from DATASUS and standardized for cases x 100,000 inhabitants. Confidence limits were established, occurrences above confidence limits were considered epidemic events. The normality of the data and serial autocorrelation were tested using the Shapiro-Wilk and Durbin-Watson method. Results: All methods detected epidemic occurrences in the three regions. Araçatuba and Marília, the peaks were concentrated in the first half of the decade and Presidente Prudente, close to the middle. The CUSUM method was more sensitive to detect epidemic periods, however the normality data and assumptions have been violated by serial autocorrelation in a few months. The EWMA method was considered the most appropriate. Conclusions: Statistical process control charts can be used to monitor and compare disease incidence between different regions. Suelen Navas-ÚbidaRogério GiuffridaCentro Centroamericano de Poblaciónarticlediarrheal diseasessanitationchildrentemporal analysisEconomic theory. DemographyHB1-3840ESPoblación y Salud en Mesoamérica, Vol 19, Iss 2 (2021)
institution DOAJ
collection DOAJ
language ES
topic diarrheal diseases
sanitation
children
temporal analysis
Economic theory. Demography
HB1-3840
spellingShingle diarrheal diseases
sanitation
children
temporal analysis
Economic theory. Demography
HB1-3840
Suelen Navas-Úbida
Rogério Giuffrida
Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.
description Objective: To evaluate the monthly rates of hospitalizations for childhood diarrhea in macro-regions of Araçatuba, Marília and Presidente Prudente, SP, between 2019 -June Between June 2009. Methods: The average rates and their standard deviations for admission of diarrhea in the target population were obtained from DATASUS and standardized for cases x 100,000 inhabitants. Confidence limits were established, occurrences above confidence limits were considered epidemic events. The normality of the data and serial autocorrelation were tested using the Shapiro-Wilk and Durbin-Watson method. Results: All methods detected epidemic occurrences in the three regions. Araçatuba and Marília, the peaks were concentrated in the first half of the decade and Presidente Prudente, close to the middle. The CUSUM method was more sensitive to detect epidemic periods, however the normality data and assumptions have been violated by serial autocorrelation in a few months. The EWMA method was considered the most appropriate. Conclusions: Statistical process control charts can be used to monitor and compare disease incidence between different regions.
format article
author Suelen Navas-Úbida
Rogério Giuffrida
author_facet Suelen Navas-Úbida
Rogério Giuffrida
author_sort Suelen Navas-Úbida
title Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.
title_short Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.
title_full Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.
title_fullStr Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.
title_full_unstemmed Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.
title_sort statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of araçatuba, marília and presidente prudente, são paulo, brazil.
publisher Centro Centroamericano de Población
publishDate 2021
url https://doaj.org/article/7497b9e8134644748ad38a350805b3b5
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