Evidence map›Paper›PMID 41420766›Full record

ArticleJournal of medical systems2025

Systematic Evaluation of Utility and Usability of Publicly Available Mobile Apps for the Early Detection and Monitoring of Infectious Diseases.

Fatema Kalyar, Deepti Gurdasani, Chandini Raina Maclntyre, Abrar Ahmad Chughtai

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Article in Journal of medical systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Fatema KalyarFaculty of Medicine, School of Population Health, University of New South Wales, Samuels Building, F25, Samuel Terry Ave, Kensington, Sydney, NSW, Australia. f.kalyar@student.unsw.edu.au.
Deepti GurdasaniFaculty of Medicine, Biosecurity Program, The Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
Chandini Raina MaclntyreFaculty of Medicine, Biosecurity Program, The Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
Abrar Ahmad ChughtaiFaculty of Medicine, School of Population Health, University of New South Wales, Samuels Building, F25, Samuel Terry Ave, Kensington, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid spread of modern outbreaks frequently surpasses the response speed of traditional surveillance and laboratory systems. Mobile apps offer real-time symptom submission, geospatial mapping, and digital contact tracing, which might bridge this gap, yet their epidemiological value and user experience have not been assessed rigorously.

methodsWe developed a novel framework to evaluate utility and usability of surveillance apps. We then demonstrated its use in a proof-of-concept evaluation. An assessment framework with 15 consolidated features was developed from an initial list of 73 identified through the literature and refined by experts. This framework directed the evaluation of available mobile apps for infectious disease surveillance identified via the App Store, Google Play Store, and relevant literature. Two authors applied the criteria independently, and conflicts were panel-resolved (κ = 0.60).

resultsOf the 56 apps screened, 11 met inclusion criteria. Six focused on a single disease, while five tracked multiple diseases. Seven were designed for national use, with four providing global coverage. High-scoring apps combined expert oversight with diverse data sources for broader disease coverage, whereas low performers relied on self-reporting and a single-disease focus. Apps offering user support and customisable alerts scored highest for usability; scores declined when privacy constraints restricted ease of use.

conclusionThis study presents a structured framework to guide evaluation of mobile apps for epidemic surveillance. The evaluation underscores the need to balance epidemiological functionality with user-friendly design and privacy-conscious features. As mobile apps expand in public health, balancing utility and usability is key to adoption and longevity.

Indexed as

Communicable DiseasesMobile ApplicationsPopulation SurveillanceContact TracingDisease OutbreaksEarly DiagnosisHumansCommunicable diseaseCovid-19DengueEbolaEpidemicFlu/influenzaInfectionInfectious disease surveillanceMalariaMosquito borne diseasesOutbreakPandemicZika

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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.