Evidence map›Paper›PMID 29566754›Full record

ArticleBMC public health2018

A qualitative study of community perception and acceptance of biological larviciding for malaria mosquito control in rural Burkina Faso.

Peter Dambach, Margarida Mendes Jorge, Issouf Traoré, Revati Phalkey, Hélène Sawadogo, Pascal Zabré, Moubassira Kagoné, Ali Sié, Rainer Sauerborn, Norbert Becker and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Scaling artificial light at night and disease vector interactions into socio-ecological systems: a conceptual appraisal.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  10. WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases.International journal of environmental research and public health · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Narrative Review on Health-EDRM Primary Prevention Measures for Vector-Borne Diseases.International journal of environmental research and public health · 2020
    Review
  18. Review
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

11 authors.

Peter DambachInstitute of Public Health, University of Heidelberg, Im Neuenheimer Feld, 324, Heidelberg, Germany. peter.dambach@web.de.ORCID 0000-0002-1086-6866
Margarida Mendes JorgeInstitute of Public Health, University of Heidelberg, Im Neuenheimer Feld, 324, Heidelberg, Germany.
Issouf TraoréCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Revati PhalkeyEpidemiology and Public Health Division, University of Nottingham, Nottingham, UK.
Hélène SawadogoCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Pascal ZabréCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Moubassira KagonéCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Ali SiéCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Rainer SauerbornInstitute of Public Health, University of Heidelberg, Im Neuenheimer Feld, 324, Heidelberg, Germany.
Norbert BeckerGerman Mosquito Control Association (KABS), Speyer, Germany.
Claudia BeiersmannInstitute of Public Health, University of Heidelberg, Im Neuenheimer Feld, 324, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVector and malaria parasite's rising resistance against pyrethroid-impregnated bed nets and antimalarial drugs highlight the need for additional control measures. Larviciding against malaria vectors is experiencing a renaissance with the availability of environmentally friendly and target species-specific larvicides. In this study, we analyse the perception and acceptability of spraying surface water collections with the biological larvicide Bacillus thuringiensis israelensis in a single health district in Burkina Faso.

methodsA total of 12 focus group discussions and 12 key informant interviews were performed in 10 rural villages provided with coverage of various larvicide treatments (all breeding sites treated, the most productive breeding sites treated, and untreated control).

resultsRespondents' knowledge about the major risk factors for malaria transmission was generally good. Most interviewees stated they performed personal protective measures against vector mosquitoes including the use of bed nets and sometimes mosquito coils and traditional repellents. The acceptance of larviciding in and around the villages was high and the majority of respondents reported a relief in mosquito nuisance and malarial episodes. There was high interest in the project and demand for future continuation.

conclusionThis study showed that larviciding interventions received positive resonance from the population. People showed a willingness to be involved and financially support the program. The positive environment with high acceptance for larviciding programs would facilitate routine implementation. An essential factor for the future success of such programs would be inclusion in regional or national malaria control guidelines.

Indexed as

CulicidaeHealth Knowledge, Attitudes, PracticePest Control, BiologicalRural PopulationAnimalsBacillus thuringiensisBurkina FasoFemaleHumansInsect VectorsLarvaMalariaMaleQualitative ResearchBacillus thuringiensis IsraelensisCommunity acceptancePerceptionQualitative studyVector controlWest Africa

Identifiers

PMID29566754
PMCPMC5865284

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.