Evidence map›Paper›PMID 27955677›Full record

ArticleParasites & vectors2016

Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting.

Victor A Alegana, Simon P Kigozi, Joaniter Nankabirwa, Emmanuel Arinaitwe, Ruth Kigozi, Henry Mawejje, Maxwell Kilama, Nick W Ruktanonchai, Corrine W Ruktanonchai, Chris Drakeley and 7 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  4. Modeling an association between malaria cases and climate variables for Keonjhar district of Odisha, India: a Bayesian approach.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020
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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

17 authors at 8 institutions in 4 countries.

Victor A AleganaWorldPop, Geography and Environment, University of Southampton, Southampton, UK. V.A.Alegana@soton.ac.uk.
Simon P KigoziInfectious Diseases Research Collaboration, Kampala, Uganda.
Joaniter NankabirwaInfectious Diseases Research Collaboration, Kampala, Uganda.
Emmanuel ArinaitweInfectious Diseases Research Collaboration, Kampala, Uganda.
Ruth KigoziInfectious Diseases Research Collaboration, Kampala, Uganda.
Henry MawejjeInfectious Diseases Research Collaboration, Kampala, Uganda.
Maxwell KilamaInfectious Diseases Research Collaboration, Kampala, Uganda.
Nick W RuktanonchaiWorldPop, Geography and Environment, University of Southampton, Southampton, UK.
Corrine W RuktanonchaiWorldPop, Geography and Environment, University of Southampton, Southampton, UK.
Chris DrakeleyLondon School of Hygiene and Tropical Medicine, London, UK.
Steve W LindsaySchool of Biological and Biomedical Sciences, Durham University, Durham, UK.
Bryan GreenhouseDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, USA.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
David L SmithInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Peter M AtkinsonWorldPop, Geography and Environment, University of Southampton, Southampton, UK.
Grant DorseyDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, USA.
Andrew J TatemWorldPop, Geography and Environment, University of Southampton, Southampton, UK.
Infectious Diseases Research Collaboration · UGFlowminder Foundation · SESan Francisco General Hospital · USDurham University · GBLancaster University · GBLondon School of Hygiene & Tropical Medicine · GBMakerere University · UGUniversity of Washington · US

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY · 2010 to 2026
$29.3M
NIAID NIH HHS U19 AI089674Wellcome TrustWellcome Trust 106866/Z/15/Z
6 · The paper itself

Abstract

backgroundAn increase in effective malaria control since 2000 has contributed to a decline in global malaria morbidity and mortality. Knowing when and how existing interventions could be combined to maximise their impact on malaria vectors can provide valuable information for national malaria control programs in different malaria endemic settings. Here, we assess the effect of indoor residual spraying on malaria vector densities in a high malaria endemic setting in eastern Uganda as part of a cohort study where the use of long-lasting insecticidal nets (LLINs) was high.

methodsAnopheles mosquitoes were sampled monthly using CDC light traps in 107 households selected randomly. Information on the use of malaria interventions in households was also gathered and recorded via a questionnaire. A Bayesian spatio-temporal model was then used to estimate mosquito densities adjusting for climatic and ecological variables and interventions.

resultsAnopheles gambiae (sensu lato) were most abundant (89.1%; n = 119,008) compared to An. funestus (sensu lato) (10.1%, n = 13,529). Modelling results suggest that the addition of indoor residual spraying (bendiocarb) in an area with high coverage of permethrin-impregnated LLINs (99%) was associated with a major decrease in mosquito vector densities. The impact on An. funestus (s.l.) (Rate Ratio 0.1508; 97.5% CI: 0.0144-0.8495) was twice as great as for An. gambiae (s.l.) (RR 0.5941; 97.5% CI: 0.1432-0.8577).

conclusionsHigh coverage of active ingredients on walls depressed vector populations in intense malaria transmission settings. Sustained use of combined interventions would have a long-term impact on mosquito densities, limiting infectious biting.

Indexed as

Population DensityAnimalsAnophelesCohort StudiesMalariaMosquito ControlMosquito VectorsSpatio-Temporal AnalysisUgandaAnophelesAnopheles gambiaeIndoor Residual SprayingMalariaModelling

Identifiers

PMID27955677
PMCPMC5153881
OpenAlexW2563255845

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.