Evaluation of Measles Surveillance Systems in Ginnir District, Bale Zone, Southeast Ethiopia: A Concurrent Embedded Mixed Quantitative/Qualitative Study.

Falaho Sani Kalil Mohammed Hasen BedasoMohammed Seid AbdulleNuriya Umer Mohammed

Published in: Risk management and healthcare policy (2021)

The surveillance system was acceptable, useful, simple, flexible, and representative. Quality of data, timeliness, and the stability of the system were attributes that require improvement. The overall performance of measles surveillance systems in prevention and control of measles was weak. Hence, regular analysis of data, preparation, and dissemination of epidemiological bulletin, capacity building, and regular supervision and feedback are recommended to enhance performance of the system.

Keyphrases

public health
electronic health record
big data
south africa
radiation therapy
data analysis
machine learning
molecularly imprinted
deep learning
rectal cancer