Evidence map›Paper›PMID 27071072›Full record

Trial reportPLoS medicine2016

The Impact of Hotspot-Targeted Interventions on Malaria Transmission in Rachuonyo South District in the Western Kenyan Highlands: A Cluster-Randomized Controlled Trial.

Teun Bousema, Gillian Stresman, Amrish Y Baidjoe, John Bradley, Philip Knight, William Stone, Victor Osoti, Euniah Makori, Chrispin Owaga, Wycliffe Odongo and 8 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01575613 (Reducing the Burden of Malaria by Targeting Hotspots of Transmission and Improving Malaria Control Measures in the Highlands of Western Kenya), which is not on this map. Cited by 84 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 9 pooled it
14.2field-weighted citation impact, top 1% 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.

NCT01575613 nacompletednot on this map

Reducing the Burden of Malaria by Targeting Hotspots of Transmission and Improving Malaria Control Measures in the Highlands of Western Kenya: Simultaneous Rollout of Four Malaria Control Interventions and Evaluation by Cross-sectional Surveys

TypeinterventionalSponsorRadboud University Medical CenterRan2012 to 2012Enrolled17,506ConditionsMalariaArmsArtemether-lumefantrine combination, Bacillus thuringiensis, Long lasting insecticide treated net (LLINs), Indoor Residual Spraying (IRS)
3 · Its place in the literature

Who cites it

84 citing papers in PubMed, 9 syntheses or guidelines pooled it, 148 citations in OpenAlex.

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24 more citing papers are in PubMed but not listed here.

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

18 authors at 5 institutions in 5 countries.

Teun BousemaRadboud Institute for Health Sciences, Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, the Netherlands.
Gillian StresmanDepartment of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Amrish Y BaidjoeRadboud Institute for Health Sciences, Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, the Netherlands.
John BradleyMRC Tropical Epidemiology Group, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Philip KnightDepartment of Mathematical Sciences, University of Bath, Bath, United Kingdom.
William StoneRadboud Institute for Health Sciences, Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, the Netherlands.
Victor OsotiKenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
Euniah MakoriKenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
Chrispin OwagaKenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
Wycliffe OdongoKenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
Pauline ChinaKenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
Shehu ShagariKenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
Ogobara K DoumboMalaria Research and Training Center, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Robert W SauerweinRadboud Institute for Health Sciences, Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, the Netherlands.
Simon KariukiKenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
Chris DrakeleyDepartment of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Jennifer StevensonDepartment of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Jonathan CoxDepartment of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Kenya Medical Research Institute · KELondon School of Hygiene & Tropical Medicine · GBRadboud University Nijmegen · NLUniversité des Sciences, des Techniques et des Technologies de Bamako · MLUniversity of Bath · GB

Funding

Medical Research Council MR/K012126/1Wellcome Trust
6 · The paper itself

Abstract

backgroundMalaria transmission is highly heterogeneous, generating malaria hotspots that can fuel malaria transmission across a wider area. Targeting hotspots may represent an efficacious strategy for reducing malaria transmission. We determined the impact of interventions targeted to serologically defined malaria hotspots on malaria transmission both inside hotspots and in surrounding communities. METHODS AND

findingsTwenty-seven serologically defined malaria hotspots were detected in a survey conducted from 24 June to 31 July 2011 that included 17,503 individuals from 3,213 compounds in a 100-km2 area in Rachuonyo South District, Kenya. In a cluster-randomized trial from 22 March to 15 April 2012, we randomly allocated five clusters to hotspot-targeted interventions with larviciding, distribution of long-lasting insecticide-treated nets, indoor residual spraying, and focal mass drug administration (2,082 individuals in 432 compounds); five control clusters received malaria control following Kenyan national policy (2,468 individuals in 512 compounds). Our primary outcome measure was parasite prevalence in evaluation zones up to 500 m outside hotspots, determined by nested PCR (nPCR) at baseline and 8 wk (16 June-6 July 2012) and 16 wk (21 August-10 September 2012) post-intervention by technicians blinded to the intervention arm. Secondary outcome measures were parasite prevalence inside hotpots, parasite prevalence in the evaluation zone as a function of distance from the hotspot boundary, Anopheles mosquito density, mosquito breeding site productivity, malaria incidence by passive case detection, and the safety and acceptability of the interventions. Intervention coverage exceeded 87% for all interventions. Hotspot-targeted interventions did not result in a change in nPCR parasite prevalence outside hotspot boundaries (p ≥ 0.187). We observed an average reduction in nPCR parasite prevalence of 10.2% (95% CI -1.3 to 21.7%) inside hotspots 8 wk post-intervention that was statistically significant after adjustment for covariates (p = 0.024), but not 16 wk post-intervention (p = 0.265). We observed no statistically significant trend in the effect of the intervention on nPCR parasite prevalence in the evaluation zone in relation to distance from the hotspot boundary 8 wk (p = 0.27) or 16 wk post-intervention (p = 0.75). Thirty-six patients with clinical malaria confirmed by rapid diagnostic test could be located to intervention or control clusters, with no apparent difference between the study arms. In intervention clusters we caught an average of 1.14 female anophelines inside hotspots and 0.47 in evaluation zones; in control clusters we caught an average of 0.90 female anophelines inside hotspots and 0.50 in evaluation zones, with no apparent difference between study arms. Our trial was not powered to detect subtle effects of hotspot-targeted interventions nor designed to detect effects of interventions over multiple transmission seasons.

conclusionsDespite high coverage, the impact of interventions targeting malaria vectors and human infections on nPCR parasite prevalence was modest, transient, and restricted to the targeted hotspot areas. Our findings suggest that transmission may not primarily occur from hotspots to the surrounding areas and that areas with highly heterogeneous but widespread malaria transmission may currently benefit most from an untargeted community-wide approach. Hotspot-targeted approaches may have more validity in settings where human settlement is more nuclear.

trial registrationClinicalTrials.gov NCT01575613.

Indexed as

InsecticidesInsecticide-Treated BednetsPlasmodiumRural Health ServicesAdolescentAdultAnimalsAntibodies, ProtozoanChildChild, PreschoolCulicidaeDisease ReservoirsDNA, ProtozoanFemaleHost-Parasite InteractionsHumansAntibodies, ProtozoanDNA, ProtozoanInsecticides

Identifiers

PMID27071072
PMCPMC4829260
OpenAlexW2337567730

What Socratic holds

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LicenceCC BY
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Registered trials

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 Socratic graph.