Trial reportEmerging infectious diseases2016
Effectiveness of a Mobile Short-Message-Service-Based Disease Outbreak Alert System in Kenya.
Trial report in Emerging infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- A systematic review on mobile health applications for foodborne disease outbreak management.BMC public health · 2021Pooled it
- The effects of mobile health on emergency care in low- and middle-income countries: A systematic review and narrative synthesis.Journal of global health · 2021Pooled it
- Routine Health Information System (RHIS) improvements for strengthened health system management.The Cochrane database of systematic reviews · 2020Pooled it
- Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Effect of Supervision or Short Messages (SMS) on the Detection Rate of Diseases Under Surveillance in the Littoral Region of Cameroon: A Randomized Controlled Health Facility-Based Trial.Research and reports in tropical medicine · 2026Article
- Article
- Mobile health applications for disease screening and treatment support in low-and middle-income countries: A narrative review.Heliyon · 2021Review
- The use of mobile phones for the prevention and control of arboviral diseases: a scoping review.BMC public health · 2021Article
- CovidSens: a vision on reliable social sensing for COVID-19.Artificial intelligence review · 2021Article
- A scope of mobile health solutions in COVID-19 pandemics.Informatics in medicine unlocked · 2021Review
- Use of technology for public health surveillance reporting: opportunities, challenges and lessons learnt from Kenya.BMC public health · 2020Article
- Clinical Epidemiology of 7126 Melioidosis Patients in Thailand and the Implications for a National Notifiable Diseases Surveillance System.Open forum infectious diseases · 2019Article
- The implementation of integrated disease surveillance and response in Liberia after Ebola virus disease outbreak 2015-2017.The Pan African medical journal · 2019Article
- Mobile health solutions in developing countries: a stakeholder perspective.Health systems (Basingstoke, England) · 2018Review
- Health worker knowledge of Integrated Disease Surveillance and Response standard case definitions: a cross-sectional survey at rural health facilities in Kenya.BMC public health · 2018Article
- Design Choices for Automated Disease Surveillance in the Social Web.Online journal of public health informatics · 2018Article
- Understanding mSOS: A qualitative study examining the implementation of a text-messaging outbreak alert system in rural Kenya.PloS one · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We conducted a randomized, controlled trial to test the effectiveness of a text-messaging system used for notification of disease outbreaks in Kenya. Health facilities that used the system had more timely notifications than those that did not (19.2% vs. 2.6%), indicating that technology can enhance disease surveillance in resource-limited settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.