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Evaluation of the influenza-like illness sentinel surveillance system: A national perspective in Tanzania from January to December 2019.

Vulstan James SheduraAlly Kassim HusseinSalum Kassim NyangaDoreen KamoriGeofrey Joseph Mchau
Published in: PloS one (2023)
The overall system performance was satisfactory in conforming with its objectives and generating accurate data, with an average performance of 100%. The system's complexity contributed to the reduced consistency of data from sentinel sites to the National Public Health Laboratory of Tanzania. Improvement in the use of the available data could be made to inform and promote preventive measures, especially among the most vulnerable population. Increasing sentinel sites would increase population coverage and the level of system representativeness.
Keyphrases
  • public health
  • electronic health record
  • big data
  • quality improvement
  • high resolution
  • data analysis
  • deep learning
  • global health