Advancing Localized Public Health Surveillance In Malaysia By Enhancing Eios With Google Covid-19 Data Integration

Malaysian Journal of Science Health & Technology, Volume 11 Issue 1 Page (43–52)

Bibliographic Details

Main Authors:	Hazeeqah A.K. Aryffin, Sakinah Ali Pitchay, Murtadha A.B. Sahbudin, Azni Hazlizan Ab Halim, Ilfita K. Sahbudin
Format:	journal::journal article
Language:	en_US
Published:	Penerbit USIM Press 2025
Subjects:	Epidemic Intelligence COVID-19 Infectious Disease Targeted Health Intervention EIOSI.INTRODUCTIONEpidemic intelligence plays a role in monitoring public health to prevent the transmission of infectious diseases effectively as illustrated in Figure1 depicting the World Health Organizations (WHO) strategy for tracking COVID 19 meticulously and systematically. This method allows for identification of affected areas for segregation and testing to implement control measures and contain the spread efficiently by detecting cases within communities and healthcare facilities while maintaining structured data collection practices to track close contacts and monitor infected individuals closely. This method involves using sentinel surveillance to track disease trends in areas with high risks.
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