Evidence map›Paper›PMID 39855660›Full record

ArticleBMJ open2025

Role of digital technology in epidemic control: a scoping review on COVID-19 and Ebola.

Gossa Fetene Abebe, Melsew Setegn Alie, Tewodros Yosef, Daniel Asmelash, Dorka Dessalegn, Amanuel Adugna, Desalegn Girma

Abstract readScoping Review
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gossa Fetene AbebeDepartment of Midwifery, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia feteneg2119@gmail.com.ORCID http://orcid.org/0000-0002-8495-3022
Melsew Setegn AlieDepartment of Public Health, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.ORCID http://orcid.org/0000-0001-9448-2204
Tewodros YosefDepartment of Public Health, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.ORCID http://orcid.org/0000-0002-3173-6753
Daniel AsmelashDepartment of Medical Laboratory Sciences, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.
Dorka DessalegnSchool of Medicine, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.
Amanuel AdugnaDepartment of Midwifery, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.ORCID http://orcid.org/0000-0002-1697-0533
Desalegn GirmaDepartment of Midwifery, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.ORCID http://orcid.org/0000-0003-0001-8553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo synthesise the role of digital technologies in epidemic control and prevention, focussing on Ebola and COVID-19.

designA scoping review. DATA SOURCES: A systematic search was done on PubMed, HINARI, Web of Science, Google Scholar and a direct Google search until 10 September 2024. ELIGIBILITY CRITERIA: We included all qualitative and quantitative studies, conference papers or abstracts, anonymous reports, editorial reports and viewpoints published in English. DATA EXTRACTION AND SYNTHESIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist was used to select the included study. Data analysis was performed using Gale's framework thematic analysis method, resulting in the identification of key themes.

resultsA total of 64 articles that examined the role of digital technology in the Ebola and COVID-19 pandemics were included in the final review. Five main themes emerged: digital epidemiological surveillance (using data visualisation tools and online sources for early disease detection), rapid case identification, community transmission prevention (via digital contact tracing and assessing interventions with mobility data), public education messages and clinical care. The identified barriers encompassed legal, ethical and privacy concerns, as well as organisational and workforce challenges.

conclusionDigital technologies have proven good for disease prevention and control during pandemics. While the adoption of these technologies has lagged in public health compared with other sectors, tools such as artificial intelligence, telehealth, wearable devices and data analytics offer significant potential to enhance epidemic responses. However, barriers to widespread implementation remain, and investments in digital infrastructure, training and strong data protection are needed to build trust among users. Future efforts should focus on integrating digital solutions into health systems, ensuring equitable access and addressing ethical concerns. As public health increasingly embraces digital innovations, collaboration among stakeholders will be crucial for effective pandemic preparedness and management.

Indexed as

COVID-19Digital TechnologyHemorrhagic Fever, EbolaContact TracingHumansPandemicsSARS-CoV-2Digital TechnologyEPIDEMIOLOGYPublic healthTropical medicineWearable Electronic Devices

Identifiers

PMID39855660
PMCPMC11759881

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.