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

What incentives encourage local communities to collect and upload mosquito sound data by using smartphones? A case study in Tanzania
What incentives encourage local communities to collect and upload mosquito sound data by using smartphones? A case study in Tanzania
Background: To detect and identify mosquitoes using their characteristic whining sound, we have developed a smartphone application that records the acoustic signature of these sounds, 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.

Methods: A multi-site, quantitative empirical study was conducted in four villages in Tanzania from April 2021 to August 2021. Consenting participants 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.

Results: Qualitative 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 empirical study supported this finding and revealed that the provision of monetary incentives and/or sending SMS reminders did not appear to encourage greater number of audio uploads when compared to the control.

Conclusion: Knowledge 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.
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Dam, Rinita
d4d3739f-ce86-4dc9-b5cf-7e23ec52396f
Mponzi, Winifrida
4ef714fa-6c74-4ac3-b865-c02dcf9219a9
Msaky, Dickson
77144917-83d6-4a0b-990f-232a7971beaa
Mwandyala, Tumpe
05ccc985-d21a-4a1a-99f5-fb1dac6d62b7
Kaindoa, Emmanuel W.
9232cfe2-3d4a-46d2-8218-b6400523f2b1
Sinka, Marianne E.
4f68b602-3d31-4054-8ac7-b49fc9715288
Kiskin, Ivan
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Herreros-Moya, Eva
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Messina, Janey
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Shah, Syed Ghulam Sarwar
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Roberts, Stephen
3066c1e3-c85d-4ed4-85f4-9b5299e5f710
Willis, Kathy J.
e3a40387-5912-43e5-9744-692a1e560989
Dam, Rinita
d4d3739f-ce86-4dc9-b5cf-7e23ec52396f
Mponzi, Winifrida
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Msaky, Dickson
77144917-83d6-4a0b-990f-232a7971beaa
Mwandyala, Tumpe
05ccc985-d21a-4a1a-99f5-fb1dac6d62b7
Kaindoa, Emmanuel W.
9232cfe2-3d4a-46d2-8218-b6400523f2b1
Sinka, Marianne E.
4f68b602-3d31-4054-8ac7-b49fc9715288
Kiskin, Ivan
7b30dbc4-869d-4234-aace-7190843d4138
Herreros-Moya, Eva
6cf7a370-1432-412a-8856-487ac0ebc217
Messina, Janey
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Shah, Syed Ghulam Sarwar
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Roberts, Stephen
3066c1e3-c85d-4ed4-85f4-9b5299e5f710
Willis, Kathy J.
e3a40387-5912-43e5-9744-692a1e560989

[Unknown type: UNSPECIFIED]

Record type: UNSPECIFIED

Abstract

Background: To detect and identify mosquitoes using their characteristic whining sound, we have developed a smartphone application that records the acoustic signature of these sounds, 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.

Methods: A multi-site, quantitative empirical study was conducted in four villages in Tanzania from April 2021 to August 2021. Consenting participants 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.

Results: Qualitative 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 empirical study supported this finding and revealed that the provision of monetary incentives and/or sending SMS reminders did not appear to encourage greater number of audio uploads when compared to the control.

Conclusion: Knowledge 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.

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Published date: 1 August 2022

Identifiers

Local EPrints ID: 509583
URI: http://eprints.soton.ac.uk/id/eprint/509583
PURE UUID: 45350d33-9b78-4393-b587-07a7f798a05b
ORCID for Rinita Dam: ORCID iD orcid.org/0000-0002-4620-7088

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Date deposited: 25 Feb 2026 18:03
Last modified: 28 Feb 2026 03:20

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Contributors

Author: Rinita Dam ORCID iD
Author: Winifrida Mponzi
Author: Dickson Msaky
Author: Tumpe Mwandyala
Author: Emmanuel W. Kaindoa
Author: Marianne E. Sinka
Author: Ivan Kiskin
Author: Eva Herreros-Moya
Author: Janey Messina
Author: Syed Ghulam Sarwar Shah
Author: Stephen Roberts
Author: Kathy J. Willis

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