饮用水质量监测信息系统（SISAGUA）：对 2014-2020 年巴西供水覆盖数据完整性的评估。
Drinking Water Quality Surveillance Information System (SISAGUA): evaluation of data completeness on water supply coverage, Brazil, 2014-2020.
机构信息
Universidade de Brasília, Programa de Pós-Graduação em Saúde Coletiva, Brasília, DF, Brasil.
Ministério da Saúde, Departamento de Saúde Ambiental e Saúde do Trabalhador, Brasília, DF, Brasil.
出版信息
Epidemiol Serv Saude. 2022 Sep 5;31(3):e20211095. doi: 10.1590/S2237-96222022000300003. eCollection 2022.
OBJECTIVE
To evaluate the completeness of dataset of the Drinking Water Quality Surveillance Information System (SISAGUA) regarding information on the coverage of water supply for human consumption in Brazil.
METHODS
This was a descriptive study on data between 2014 and 2020. A relative frequency distribution of 35 variables was calculated. Completeness was categorized as excellent (≥ 95%), good (90% to 94%), regular (70% to 89%), poor (50% to 69%) and very poor (≤ 49%).
RESULTS
In the period, there were 861,250 records of forms of water supply. With regard to data completeness, SISAGUA obtained an excellent classification for 25 variables, good for two, regular for three, poor for one and very poor for four variables.
CONCLUSION
The system showed excellent data completeness for most of the variables. This type of study contributes to the continuous improvement of SISAGUA and enables the identification of inconsistencies and weaknesses.
目的
评估饮用水质量监测信息系统（SISAGUA）数据集在巴西人饮用水供应覆盖信息方面的完整性。
方法
这是一项关于 2014 年至 2020 年期间数据的描述性研究。计算了 35 个变量的相对频率分布。完整性分为优秀（≥95％）、良好（90％至 94％）、常规（70％至 89％）、较差（50％至 69％）和很差（≤49％）。
结果
在该时期，有 861250 份供水形式的记录。就数据完整性而言，SISAGUA 在 25 个变量上获得了优秀的分类，在两个变量上获得了良好的分类，在三个变量上获得了常规的分类，在一个变量上获得了较差的分类，在四个变量上获得了很差的分类。
结论
该系统在大多数变量上的数据完整性都非常优秀。这种类型的研究有助于 SISAGUA 的持续改进，并能够识别不一致和弱点。
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