Evidence map›Paper›PMID 37246227›Full record

ArticleGlobal health research and policy2023

What incentives encourage local communities to collect and upload mosquito sound data by using smartphones? A mixed methods study in Tanzania.

Rinita Dam, Winifrida Mponzi, Dickson Msaky, Tumpe Mwandyala, Emmanuel W Kaindoa, Marianne E Sinka, Ivan Kiskin, Eva Herreros-Moya, Janey Messina, Syed Ghulam Sarwar Shah and 2 more

Abstract read
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Article in Global health research and policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

12 authors.

Rinita DamDepartment of Biology, University of Oxford, Oxford, UK. rinitadam@gmail.com.ORCID 0000-0002-4620-7088
Winifrida MponziEnvironmental Health and Ecological Science Department, Ifakara Health Institute, P.O. Box 53, Ifakara, Tanzania.
Dickson MsakyEnvironmental Health and Ecological Science Department, Ifakara Health Institute, P.O. Box 53, Ifakara, Tanzania.
Tumpe MwandyalaEnvironmental Health and Ecological Science Department, Ifakara Health Institute, P.O. Box 53, Ifakara, Tanzania.
Emmanuel W KaindoaEnvironmental Health and Ecological Science Department, Ifakara Health Institute, P.O. Box 53, Ifakara, Tanzania.
Marianne E SinkaDepartment of Biology, University of Oxford, Oxford, UK.
Ivan KiskinDepartment of Engineering Science, University of Oxford, Oxford, UK.
Eva Herreros-MoyaDepartment of Biology, University of Oxford, Oxford, UK.
Janey MessinaSchool of Geography and the Environment and the Oxford School of Global and Area Studies, University of Oxford, Oxford, UK.
Syed Ghulam Sarwar ShahNIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Stephen RobertsDepartment of Engineering Science, University of Oxford, Oxford, UK.
Kathy J WillisDepartment of Biology, University of Oxford, Oxford, UK.

Funding

Bill & Melinda Gates Foundation OPP1209888
6 · The paper itself

Abstract

backgroundTo detect and identify mosquitoes using their characteristic high-pitched sound, we have developed a smartphone application, known as the 'HumBug sensor', that records the acoustic signature of this sound, along with the time and location. This data is then sent remotely to a server where algorithms identify the species according to their distinctive acoustic signature. Whilst this system works well, a key question that remains is what mechanisms will lead to effective uptake and use of this mosquito survey tool? We addressed this question by working with local communities in rural Tanzania and providing three alternative incentives: money only, short message service (SMS) reminders and money, and SMS reminders only. We also had a control group with no incentive.

methodsA multi-site, quantitative empirical study was conducted in four villages in Tanzania from April to August 2021. Consenting participants (n = 148) were recruited and placed into one of the three intervention arms: monetary incentives only; SMS reminders with monetary incentives; and SMS reminders only. There was also a control group (no intervention). To test effectiveness of the mechanisms, the number of audio uploads to the server of the four trial groups on their specific dates were compared. Qualitative focus group discussions and feedback surveys were also conducted to explore participants' perspectives on their participation in the study and to capture their experiences of using the HumBug sensor.

resultsQualitative data analysis revealed that for many participants (37 out of 81), the main motivation expressed was to learn more about the types of mosquitoes present in their houses. Results from the quantitative empirical study indicate that the participants in the 'control' group switched on their HumBug sensors more over the 14-week period (8 out of 14 weeks) when compared to those belonging to the 'SMS reminders and monetary incentives' trial group. These findings are statistically significant (p < 0.05 or p > 0.95 under a two-sided z-test), revealing that the provision of monetary incentives and sending SMS reminders did not appear to encourage greater number of audio uploads when compared to the control.

conclusionsKnowledge on the presence of harmful mosquitoes was the strongest motive for local communities to collect and upload mosquito sound data via the HumBug sensor in rural Tanzania. This finding suggests that most efforts should be made to improve flow of real-time information back to the communities on types and risks associated with mosquitoes present in their houses.

Indexed as

CulicidaeText MessagingAnimalsHumansMotivationSmartphoneTanzaniaAcoustic recognitionCommunity engagementDigital citizen scienceHumBug sensorMixed methods studyMosquito surveillance

Identifiers

PMID37246227
PMCPMC10226264

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LicenceCC BY
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Registered trials

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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.