Evidence map›Paper›PMID 28970191›Full record

ArticleJMIR public health and surveillance2017

Lessons From the Implementation of Mo-Buzz, a Mobile Pandemic Surveillance System for Dengue.

May Oo Lwin, Karthikayen Jayasundar, Anita Sheldenkar, Ruwan Wijayamuni, Prasad Wimalaratne, Kacey C Ernst, Schubert Foo

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  7. Use of Digital Tools in Arbovirus Surveillance: Scoping Review.Journal of medical Internet research · 2024
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  9. Review
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  11. Review
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  13. Citizen Science Mosquito Surveillance by Ad Hoc Observation Using the iNaturalist Platform.International journal of environmental research and public health · 2022
    Article
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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.

May Oo Lwin *Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0003-1832-8242
Karthikayen JayasundarWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0001-7207-391X
Anita SheldenkarWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0002-5402-9269
Ruwan WijayamuniColombo Municipal Council, Colombo, Sri Lanka.ORCID http://orcid.org/0000-0001-5880-8684
Prasad WimalaratneSchool of Computing, University of Colombo, Colombo, Sri Lanka.ORCID http://orcid.org/0000-0001-6043-8758
Kacey C ErnstEpidemiology and Biostatistics Department, Mel and Enid Zuckerman College of Public Health, Arizona, AZ, United States.ORCID http://orcid.org/0000-0002-3346-7788
Schubert FooWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0003-3043-0450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 128 countries and 3.9 billion people are at risk of dengue infection. Incidence of dengue has increased over the past decades, becoming a growing public health concern for countries with populations that are increasingly susceptible to this vector-borne disease, such as Sri Lanka. Almost 55,150 dengue cases were reported in Sri Lanka in 2016, with more than 30.40% of cases (n=16,767) originating from Colombo, which struggles with an outdated manual paper-based dengue outbreak management system. Community education and outreach about dengue are also executed using paper-based media channels such as pamphlets and brochures. Yet, Sri Lanka is one of the countries with the most affordable rates of mobile services in the world, with penetration rates higher than most developing countries.

objectivesTo combat the issues of an exhausted dengue management system and to make use of new technology, in 2015, a mobile participatory system for dengue surveillance called Mo-Buzz was developed and launched in Colombo, Sri Lanka. This paper describes the system's components and uptake, along with other similar disease surveillance systems.

methodsWe developed Mo-Buzz and tested its feasibility for dengue. Two versions of the app were developed. The first was for use by public health inspectors (PHIs) to digitize form filling and recording of site visit information, and track dengue outbreaks on a real-time dengue hotspot map using the global positioning system technology. The system also provides updated dengue infographics and educational materials for the PHIs to educate the general public. The second version of Mo-Buzz was created for use by the general public. This system uses dynamic mapping to help educate and inform the general public about potential outbreak regions and allow them to report dengue symptoms and post pictures of potential dengue mosquito-breeding sites, which are automatically sent to the health authorities. Targeted alerts can be sent to users depending on their geographical location.

resultsWe assessed the usage and the usability of the app and its impact on overall dengue transmission in Colombo. Initial uptake of Mo-Buzz for PHIs was low; however, after more training and incentivizing of usage, the uptake of the app in PHIs increased from less than 10% (n=3) to 76% (n=38). The general public user evaluation feedback was fruitful in providing improvements to the app, and at present, a number of solutions are being reviewed as viable options to boost user uptake.

conclusionsFrom our Mo-Buzz study, we have learned that initial acceptance of such systems can be slow but eventually positive. Mobile and social media interventions, such as Mo-Buzz, are poised to play a greater role in shaping risk perceptions and managing seasonal and sporadic outbreaks of infectious diseases in Asia and around the world.

Indexed as

dengueepidemiologyhealth communicationpandemicsparticipatory epidemiologyparticipatory surveillancetelemedicine

Identifiers

PMID28970191
PMCPMC5643840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.