Evidence map›Paper›PMID 31992318›Full record

ArticleMalaria journal2020

Lessons learned, challenges and outlooks for decision-making after a decade of experience monitoring the impact of indoor residual spraying in Benin, West Africa.

Martin C Akogbéto, Fortuné Dagnon, Rock Aïkpon, Razaki Ossé, Albert S Salako, Idelphonse Ahogni, Bruno Akinro, André Sominahouin, Aboubakar Sidick, Filémon Tokponnon and 1 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Martin C AkogbétoCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin.
Fortuné DagnonUS President's Malaria Initiative, US Agency for International Development, Cotonou, Benin.
Rock AïkponCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin.
Razaki OsséCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin.
Albert S SalakoCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin. albertsourousalako@yahoo.fr.
Idelphonse AhogniCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin.
Bruno AkinroCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin.
André SominahouinCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin.
Aboubakar SidickCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin.
Filémon TokponnonNational Malaria Control Program (NMCP), Cotonou, Bénin.
Germain G PadonouCentre de Recherche entomologique de Cotonou (CREC), Cotonou, Benin.
Aidjan-Lagos Corridor Organization · BJProgamme National Contre le Tuberculose · BJUniversité d'Abomey-Calavi · BJ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 2008, Indoor Residual Spraying (IRS) has been performed in Benin in 19 districts, including 4 in southern Benin, 9 in Atacora, and 8 in Atacora, Alibori and Donga in northern Benin. However, Benin still struggles with questions about IRS cost-benefit and epidemiological impact. Lessons learned and challenges from 10 years of IRS in Benin to be shared with the stakeholders involved in vector control implementation for decision-making.

methodsEntomological parameters have been assessed entomological parameters in IRS communes since 2008. In all IRS intervention communes, decreases in human biting rate (HBR) of Anopheles gambiae, blood feeding inhibition and entomological inoculation rate (EIR) as compared to control district have been measured.

resultsEIR was reduced by 80-90%, which is encouraging, but should be observed with caution because: (i) the reduction may be insufficient to decrease epidemiological indicators given that the residual EIR in IRS districts is still higher than it is in some regions of stable malaria; (ii) the reduction in EIR is based on comparisons with control communes, but it is difficult to select control areas with the same environmental characteristics as intervention areas; (iii) despite the reduction, half of all mosquitoes that entered IRS-treated houses succeeded in taking human blood meals. Further, there are behaviours among Benin's population that limit IRS efficacy, including recent data showing that > 90% of people are not protected by IRS between 7 and 10 p.m. This is due to the fact that they remain outdoors and that most people are not protected from mosquito bites after 10 p.m. because they either sleep outdoors without IRS protection or indoors without an ITN. Moreover, people have large amounts of clothing hanging on walls where mosquitoes can rest instead of IRS-treated walls. Finally, other components are important to consider in implementing IRS among which: (i) Vector resistance management strategies are sometimes poorly understood; this is actually different from the need to replace one insecticide with another after the emergence of resistance; (ii) African countries should prepare to finance IRS themselves.

conclusionTo curtail residual malaria transmission, additional interventions able to target vectors escaping IRS should be prioritized.

Indexed as

AerosolsAnimalsAnophelesBeninConfidence IntervalsFemaleHousingHumansIncidenceInsect Bites and StingsInsecticidesInsecticide-Treated BednetsMalariaMosquito ControlMosquito VectorsOrganothiophosphorus CompoundsAerosolsbendiocarbInsecticidesOrganothiophosphorus CompoundsPhenylcarbamatespirimiphos methylBeninChallengesIRSLessons learnedOutlooks

Identifiers

PMID31992318
PMCPMC6986099
OpenAlexW3013131253

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.