Evidence map›Paper›PMID 32503665›Full record

ArticleInfectious diseases of poverty2020

Impact of a community-based intervention on Aedes aegypti and its spatial distribution in Ouagadougou, Burkina Faso.

Emmanuel Bonnet, Florence Fournet, Tarik Benmarhnia, Samiratou Ouedraogo, Roch Dabiré, Valéry Ridde

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Emmanuel BonnetRésiliences, French National Research Institute for Sustainable Development, 32 Avenue Henri Varagnat, 93140, Bondy, France. emmanuel.bonnet@ird.fr.ORCID http://orcid.org/0000-0001-6735-5330
Florence FournetInfectious Diseases and Vectors Ecology, Genetics, Evolution and Control (MIVEGEC), French National Research Institute for Sustainable Development, 911 Avenue Agropolis, BP 64501, 34394, Montpellier Cedex 5, France.
Tarik BenmarhniaUniversity of California, San Diego, CA, USA.
Samiratou OuedraogoUniversity of Montreal Public Health Research Institute, Montreal, Canada.
Roch DabiréInstitute for Health Science Research, Bobo-Dioulasso, Burkina Faso.
Valéry RiddePopulation and Development Center (CEPED), French National, Research Institute for Sustainable Development, Université Paris Sorbonne, 45, rue des Saints Pères, 75006, Paris, France.

Funding

ROH-115213 ROH-115213
6 · The paper itself

Abstract

backgroundSeveral studies highlighted the impact of community-based interventions whose purpose was to reduce the vectors' breeding sites. These strategies are particularly interesting in low-and-middle-income countries which may find it difficult to sustainably assume the cost of insecticide-based interventions. In this case study we determine the spatial distribution of a community-based intervention for dengue vector control using different entomological indices. The objective was to evaluate locally where the intervention was most effective, using spatial analysis methods that are too often neglected in impact assessments.

methodsTwo neighbourhoods, Tampouy and Juvenat in Ouagadougou, Burkina Faso, were chosen among five after a survey was conducted, as part of an assessment related to the burden of dengue. As part of the community-based intervention conducted in Tampouy between August and early October 2016, an entomological survey was implemented in two phases. The first phase consisted of a baseline entomological characterization of potential breeding sites in the neighbourhood of Tampouy as well as in Juvenat, the control area. This phase was conducted in October 2015 at the end of the rainy season. The mosquito breeding sites were screened in randomly selected houses: 206 in Tampouy and 203 in Juvenat. A second phase took place after the intervention, in October 2016. The mosquito breeding sites were investigated in the same yards as during the baseline phase. We performed several entomological analyses to measure site productivity as well as before and after analysis using multilevel linear regression. We used Local Indicators of Spatial Association (LISAs) to analyse spatial concentrations of larvae.

resultsAfter the intervention, it is noted that LISAs at Tampouy reveal few aggregates of all types and the suppression of those existing before the intervention. The analysis therefore reveals that the intervention made it possible to reduce the number of concentration areas of high and low values of pupae.

conclusionsThe contribution of spatial methods for assessing community-based intervention are relevant for monitoring at local levels as a complement to epidemiological analyses conducted within neighbourhoods. They are useful, therefore, not only for assessment but also for establishing interventions. This study shows that spatial analyses also have their place in population health intervention research.

Indexed as

AedesMosquito ControlMosquito VectorsResidence CharacteristicsSpatial AnalysisAnimal DistributionAnimalsBurkina FasoSeasonsCommunity-based interventionSpatial analysisVector-borne diseases

Identifiers

PMID32503665
PMCPMC7275586

What OpenQuestion holds

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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.