ArticleJournal of medical entomology2013
Cell phone-based system (Chaak) for surveillance of immatures of dengue virus mosquito vectors.
Article in Journal of medical entomology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis 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, 1 synthesis or guideline pooled it.
- What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions.PloS one · 2017Pooled it
- Trial
- Experiences in running a complex electronic data capture system using mobile phones in a large-scale population trial in southern Nepal.Global health action · 2017Trial
- From Bites to Bytes: Evaluating User Engagement and Mosquito Bite Exposure Patterns with the Bite Diary Smartphone Application.The American journal of tropical medicine and hygiene · 2025Article
- A novel wide scale well-baby clinic mobile application: an Egyptian pilot study.BMC health services research · 2023Article
- What incentives encourage local communities to collect and upload mosquito sound data by using smartphones? A mixed methods study in Tanzania.Global health research and policy · 2023Article
- Bridging landscape ecology and urban science to respond to the rising threat of mosquito-borne diseases.Nature ecology & evolution · 2022Review
- Scaling up of Eco-Bio-Social Strategy to ControlInternational journal of environmental research and public health · 2021Article
- The use of mobile phones for the prevention and control of arboviral diseases: a scoping review.BMC public health · 2021Article
- MEWAR: Development of a Cross-Platform Mobile Application and Web Dashboard System for Real-Time Mosquito Surveillance in Northeast Brazil.Frontiers in public health · 2021Article
- Integrating evidence, models and maps to enhance Chagas disease vector surveillance.PLoS neglected tropical diseases · 2018Article
- Dengue: knowledge gaps, unmet needs, and research priorities.The Lancet. Infectious diseases · 2017Review
- Mosquito (Diptera: Culicidae) Habitat Surveillance by Android Mobile Devices in Guangzhou, China.Insects · 2016Article
- Assessment of ICount software, a precise and fast egg counting tool for the mosquito vector Aedes aegypti.Parasites & vectors · 2016Article
- Performance and user acceptance of the Bhutan febrile and malaria information system: report from a pilot study.Malaria journal · 2016Article
- Sources of spatial animal and human health data: Casting the net wide to deal more effectively with increasingly complex disease problems.Spatial and spatio-temporal epidemiology · 2015Review
- Assessing the impact of mHealth interventions in low- and middle-income countries--what has been shown to work?Global health action · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Capture of surveillance data on mobile devices and rapid transfer of such data from these devices into an electronic database or data management and decision support systems promote timely data analyses and public health response during disease outbreaks. Mobile data capture is used increasingly for malaria surveillance and holds great promise for surveillance of other neglected tropical diseases. We focused on mosquito-borne dengue, with the primary aims of: 1) developing and field-testing a cell phone-based system (called Chaak) for capture of data relating to the surveillance of the mosquito immature stages, and 2) assessing, in the dengue endemic setting of Mérida, Mexico, the cost-effectiveness of this new technology versus paper-based data collection. Chaak includes a desktop component, where a manager selects premises to be surveyed for mosquito immatures, and a cell phone component, where the surveyor receives the assigned tasks and captures the data. Data collected on the cell phone can be transferred to a central database through different modes of transmission, including near-real time where data are transferred immediately (e.g., over the Internet) or by first storing data on the cell phone for future transmission. Spatial data are handled in a novel, semantically driven, geographic information system. Compared with a pen-and-paper-based method, use of Chaak improved the accuracy and increased the speed of data transcription into an electronic database. The cost-effectiveness of using the Chaak system will depend largely on the up-front cost of purchasing cell phones and the recurring cost of data transfer over a cellular network.
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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.