Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review
The expansion of publicly accessible information on the internet has opened a new pathway for epidemic intelligence. This study emphasizes the importance of integrating information technology tools such as AI, big data analytics, GIS, and the IoT in epidemic intelligence surveillance to effectively track infectious diseases. Combining these technologies helps public health agencies in detecting and responding to health threats.
Authors
- Azni Haslizan Abhalim
- Ilfita Sahbudin (ORCID: https://orcid.org/0000-0003-0702-4403)
- Sakinah Ali Pitchay (ORCID: https://orcid.org/0000-0003-4154-4103)
- Hazeeqah Amny Kamarul Aryffin
- Murtadha Arif Bin Sahbudin
Institutions
- Universiti Sains Islam Malaysia (MY)
- Universiti Brunei Darussalam (BN)
- University of Birmingham (GB)
Publication Details
- Journal
- PeerJ Computer Science
- Published
- 2025-05-06
- DOI
- https://doi.org/10.7717/peerj-cs.2874
- Citations
- 2
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 2.74
Funders
- Universiti Sains Islam Malaysia