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Drinking Water Quality Surveillance Information System (SISAGUA): evaluation of data completeness on water supply coverage, Brazil, 2014-2020.

Renan Neves da MataAristeu de Oliveira JúniorWalter Massa Ramalho
Published in: Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil (2022)
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.
Keyphrases
  • drinking water
  • electronic health record
  • big data
  • health risk
  • health risk assessment
  • public health
  • data analysis
  • quality improvement
  • machine learning
  • artificial intelligence
  • risk assessment
  • deep learning