Evidence map›Paper›PMID 30940141›Full record

ArticleMalaria journal2019

Seasonal malaria vector and transmission dynamics in western Burkina Faso.

Patric Stephane Epopa, Catherine Matilda Collins, Ace North, Abdoul Azize Millogo, Mark Quentin Benedict, Frederic Tripet, Abdoulaye Diabate

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 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

7 authors at 6 institutions in 3 countries.

Patric Stephane EpopaInstitut de Recherche en Sciences de la santé/Centre Muraz, Bobo-Dioulasso, Burkina Faso. epopastef@yahoo.fr.ORCID http://orcid.org/0000-0002-5806-6446
Catherine Matilda CollinsCentre for Environmental Policy, Imperial College London, London, UK.
Ace NorthDepartment of Zoology, University of Oxford, Oxford, UK.
Abdoul Azize MillogoInstitut des Sciences des Sociétés, Ouagadougou, Burkina Faso.
Mark Quentin BenedictCenters for Disease Control and Prevention (CDC), Atlanta, USA.
Frederic TripetCentre for Applied Entomology and Parasitology, School of Life Sciences, Keele University, Staffordshire, UK.
Abdoulaye DiabateInstitut de Recherche en Sciences de la santé/Centre Muraz, Bobo-Dioulasso, Burkina Faso.
Centre Muraz · BFCenters for Disease Control and Prevention · USImperial College London · GBInstitut de Recherche en Sciences de la Santé · BFKeele University · GBUniversity of Oxford · GB

Funding

Bill and Melinda Gates Foundation SOL1022649 (GH5430)
6 · The paper itself

Abstract

backgroundIn the context of widespread mosquito resistance to currently available pesticides, novel, precise genetic vector control methods aimed at population suppression or trait replacement are a potentially powerful approach that could complement existing malaria elimination interventions. Such methods require knowledge of vector population composition, dynamics, behaviour and role in transmission. Here were characterized these parameters in three representative villages, Bana, Pala and Souroukoudingan, of the Sudano-Sahelian belt of Burkina Faso, a region where bed net campaigns have recently intensified.

methodsFrom July 2012 to November 2015, adult mosquitoes were collected monthly using pyrethroid spray catches (PSC) and human landing catches (HLC) in each village. Larval habitat prospections assessed breeding sites abundance at each site. Mosquitoes collected by PSC were identified morphologically, and then by molecular technique to species where required, to reveal the seasonal dynamics of local vectors. Monthly entomological inoculation rates (EIR) that reflect malaria transmission dynamics were estimated by combining the HLC data with mosquito sporozoite infection rates (SIR) identified through ELISA-CSP. Finally, population and EIR fluctuations were fit to locally-collected rainfall data to highlight the strong seasonal determinants of mosquito abundance and malaria transmission in this region.

resultsThe principal malaria vectors found were in the Anopheles gambiae complex. Mosquito abundance peaked during the rainy season, but there was variation in vector species composition between villages. Mean survey HLC and SIR were similar across villages and ranged from 18 to 48 mosquitoes/person/night and from 3.1 to 6.6% prevalence. The resulting monthly EIRs were extremely high during the rainy season (0.91-2.35 infectious bites/person/day) but decreased substantially in the dry season (0.03-0.22). Vector and malaria transmission dynamics generally tracked seasonal rainfall variations, and the highest mosquito abundances and EIRs occurred in the rainy season. However, despite low residual mosquito populations, mosquitoes infected with malaria parasites remained present in the dry season.

conclusionThese results highlight the important vector control challenge facing countries with high EIR despite the recent campaigns of bed net distribution. As demonstrated in these villages, malaria transmission is sustained for large parts of the year by a very high vector abundance and high sporozoite prevalence, resulting in seasonal patterns of hyper and hypo-endemicity. There is, therefore, an urgent need for additional vector control tools that can target endo and exophillic mosquito populations.

Indexed as

Disease Transmission, InfectiousSeasonsAdultAnimalsAnophelesBurkina FasoClimateHumansLongitudinal StudiesMalariaMosquito VectorsPopulation DynamicsPrevalenceRural PopulationAnopheles gambiae s.l.Entomological Inoculation RateGenetic controlSeasonal dynamicVector control

Identifiers

PMID30940141
PMCPMC6444393
OpenAlexW2944721371

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.