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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review

Azni Haslizan Abhalim, Ilfita Sahbudin, Sakinah Ali Pitchay, Hazeeqah Amny Kamarul Aryffin et al.
2 citations
PeerJ Computer Science
COVID-19 epidemiological studies
2.74
article

Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review

Azni Haslizan Abhalim, Ilfita Sahbudin, Sakinah Ali Pitchay, Hazeeqah Amny Kamarul Aryffin, Murtadha Arif Bin Sahbudin
article en
2 citations

Abstract

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.

PeerJ Computer ScienceVol. 11
Universiti Sains Islam Malaysia (MY), Universiti Brunei Darussalam (BN), University of Birmingham (GB)
Universiti Sains Islam Malaysia
Openalex Percentile: Top 11%
COVID-19 epidemiological studies
2.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.