Conditional trust: Community perceptions of drone use in malaria control in Zanzibar.

Community perceptions Drones Malaria Public health Unmanned aerial vehicles Vector control

Journal

Technology in society
ISSN: 0160-791X
Titre abrégé: Technol Soc
Pays: United States
ID NLM: 100972148

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 22 10 2021
revised: 13 01 2022
accepted: 13 01 2022
entrez: 18 3 2022
pubmed: 19 3 2022
medline: 19 3 2022
Statut: ppublish

Résumé

The potential of drones to support public health interventions, such as malaria vector control, is beginning to be realised. Although permissions from civil aviation authorities are often needed for drone operations, the communities over which they fly tend to be ignored: How do affected communities perceive drones? Is drone deployment accepted by communities? How should communities be engaged? An initiative in Zanzibar, United Republic of Tanzania is using drones to map malarial mosqutio breeding sites for targeting larval source management interventions. A community engagement framework was developed, based on participatory research, across three communities where drones will be deployed, to map local perceptions of drone use. Costs associated with this exercise were collated. A total of 778 participants took part in the study spanning a range of community and stakeholder groups. Overall there was a high level of acceptance and trust in drone use for public health research purposes. Despite this level of trust for drone operations this support was conditional: There was a strong desire for pre-deployment information across all stakeholder groups and regular updates of this information to be given about drone activities, as well as consent from community level governance. The cost of the perception study and resulting engagement strategy was US$24,411. Mapping and responding to community perceptions should be a pre-requisite for drone activity in all public health applications and requires funding. The findings made in this study were used to design a community engagement plan providing a simple but effective means of building and maintaining trust and acceptability. We recommend this an essential investment.

Sections du résumé

Background UNASSIGNED
The potential of drones to support public health interventions, such as malaria vector control, is beginning to be realised. Although permissions from civil aviation authorities are often needed for drone operations, the communities over which they fly tend to be ignored: How do affected communities perceive drones? Is drone deployment accepted by communities? How should communities be engaged?
Methods UNASSIGNED
An initiative in Zanzibar, United Republic of Tanzania is using drones to map malarial mosqutio breeding sites for targeting larval source management interventions. A community engagement framework was developed, based on participatory research, across three communities where drones will be deployed, to map local perceptions of drone use. Costs associated with this exercise were collated.
Results UNASSIGNED
A total of 778 participants took part in the study spanning a range of community and stakeholder groups. Overall there was a high level of acceptance and trust in drone use for public health research purposes. Despite this level of trust for drone operations this support was conditional: There was a strong desire for pre-deployment information across all stakeholder groups and regular updates of this information to be given about drone activities, as well as consent from community level governance. The cost of the perception study and resulting engagement strategy was US$24,411.
Conclusions UNASSIGNED
Mapping and responding to community perceptions should be a pre-requisite for drone activity in all public health applications and requires funding. The findings made in this study were used to design a community engagement plan providing a simple but effective means of building and maintaining trust and acceptability. We recommend this an essential investment.

Identifiants

pubmed: 35299834
doi: 10.1016/j.techsoc.2022.101895
pii: S0160-791X(22)00036-7
pmc: PMC8919376
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101895

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

The authors have no competing interests to declare.

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Auteurs

Andy Hardy (A)

Department of Geography and Earth Sciences, Aberystwyth University, UK.

Mark Proctor (M)

Sazani Consulting, Camarthen, UK.

Cathryn MacCallum (C)

Sazani Consulting, Camarthen, UK.

Josh Shawe (J)

Sazani Consulting, Camarthen, UK.

Safia Abdalla (S)

Sazani Trust, Zanzibar, United Republic of Tanzania.

Rajab Ali (R)

Sazani Trust, Zanzibar, United Republic of Tanzania.

Salha Abdalla (S)

Sazani Trust, Zanzibar, United Republic of Tanzania.

Gregory Oakes (G)

Department of Geography and Earth Sciences, Aberystwyth University, UK.

Laura Rosu (L)

Liverpool School of Tropical Medicine, Liverpool, UK.

Eve Worrall (E)

Liverpool School of Tropical Medicine, Liverpool, UK.

Classifications MeSH