Evidence map›Paper›PMID 34053466›Full record

ArticleTrials2021

Measuring the effectiveness of integrated vector management with targeted outdoor residual spraying and autodissemination devices on the incidence of dengue in urban Malaysia in the iDEM trial (intervention for Dengue Epidemiology in Malaysia): study protocol for a cluster randomized controlled trial.

Mitra Saadatian-Elahi, Neal Alexander, Tim Möhlmann, Carole Langlois-Jacques, Remco Suer, Nazni Wasi Ahmad, Rose Nani Mudin, Farah Diana Ariffin, Frederic Baur, Frederic Schmitt and 3 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Acceptability of Integrated Vector Management ofTropical medicine and infectious disease · 2026
    Article
  4. Article
  5. Review
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

13 authors at 6 institutions in 4 countries.

Mitra Saadatian-ElahiService Hygiène, Epidémiologie, Infection, Vigilance et Prévention, Centre Hospitalier Edouard Herriot, Hospices Civils de Lyon, Lyon, France. mitra.elahi@chu-lyon.fr.ORCID http://orcid.org/0000-0003-1265-8806
Neal AlexanderMRC Tropical Epidemiology Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
Tim MöhlmannIn2Care B.V., Marijkeweg 22, 6709PG, Wageningen, The Netherlands.
Carole Langlois-JacquesUniversité de Lyon, F-69000, Lyon, France; Université Lyon 1, F-69100, Villeurbanne, France; Hospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique et Bioinformatique, F-69003, Lyon, France; CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, F-69100, Villeurbanne, France.
Remco SuerIn2Care B.V., Marijkeweg 22, 6709PG, Wageningen, The Netherlands.
Nazni Wasi AhmadMedical Entomology Unit, WHO Collaborating Centre for Vectors, Institute for Medical Research, Ministry of Health Malaysia, National Institutes of Health, Block C, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Malaysia.
Rose Nani MudinVector Borne Disease Sector, Disease Control Division, Ministry of Health Malaysia, Level 4, Block E10, Complex E, Federal Government Administrative Center, 62590, Putrajaya, Malaysia.
Farah Diana AriffinMedical Entomology Unit, WHO Collaborating Centre for Vectors, Institute for Medical Research, Ministry of Health Malaysia, National Institutes of Health, Block C, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Malaysia.
Frederic BaurBayer S.A.S, Environnemental Science, Crop Science Division, 16 rue Jean Marie Leclair, 69266, Lyon, Cedex 09, France.
Frederic SchmittBayer S.A.S, Environnemental Science, Crop Science Division, 16 rue Jean Marie Leclair, 69266, Lyon, Cedex 09, France.
Jason H RichardsonInnovative Vector Control Consortium, Pembroke Place, L3 5QA, Liverpool, UK.
Muriel RabilloudUniversité de Lyon, F-69000, Lyon, France; Université Lyon 1, F-69100, Villeurbanne, France; Hospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique et Bioinformatique, F-69003, Lyon, France; CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, F-69100, Villeurbanne, France.
Nurulhusna Ab HamidMedical Entomology Unit, WHO Collaborating Centre for Vectors, Institute for Medical Research, Ministry of Health Malaysia, National Institutes of Health, Block C, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Malaysia.
Ministry of Health · MYUniversité Claude Bernard Lyon 1 · FRBayer (France) · FRHumanTotalCare (Netherlands) · NLInnovative Vector Control Consortium · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundIn common with many South East Asian countries, Malaysia is endemic for dengue. Dengue control in Malaysia is currently based on reactive vector management within 24 h of a dengue case being reported. Preventive rather than reactive vector control approaches, with combined interventions, are expected to improve the cost-effectiveness of dengue control programs. The principal objective of this cluster randomized controlled trial is to quantify the effectiveness of a preventive integrated vector management (IVM) strategy on the incidence of dengue as compared to routine vector control efforts.

methodsThe trial is conducted in randomly allocated clusters of low- and medium-cost housing located in the Federal Territory of Kuala Lumpur and Putrajaya. The IVM approach combines: targeted outdoor residual spraying with K-Othrine Polyzone, deployment of mosquito traps as auto-dissemination devices, and community engagement activities. The trial includes 300 clusters randomly allocated in a 1:1 ratio. The clusters receive either the preventive IVM in addition to the routine vector control activities or the routine vector control activities only. Epidemiological data from monthly confirmed dengue cases during the study period will be obtained from the Vector Borne Disease Sector, Malaysian Ministry of Health e-Dengue surveillance system. Entomological surveillance data will be collected in 12 clusters randomly selected from each arm. To measure the effectiveness of the IVM approach on dengue incidence, a negative binomial regression model will be used to compare the incidence between control and intervention clusters. To quantify the effect of the interventions on the main entomological outcome, ovitrap index, a modified ordinary least squares regression model using a robust standard error estimator will be used. DISCUSSION: Considering the ongoing expansion of dengue burden in Malaysia, setting up proactive control strategies is critical. Despite some limitations of the trial such as the use of passive surveillance to identify cases, the results will be informative for a better understanding of effectiveness of proactive IVM approach in the control of dengue. Evidence from this trial may help justify investment in preventive IVM approaches as preferred to reactive case management strategies.

trial registrationISRCTN ISRCTN81915073 . Retrospectively registered on 17 April 2020.

Indexed as

AedesDengueAnimalsHumansIncidenceMalaysiaMosquito ControlMosquito VectorsRandomized Controlled Trials as TopicAedesAutodisseminationCluster RandomizedDengueEpidemiologyMalaysiaoutdoor residual sprayVector control

Identifiers

PMID34053466
PMCPMC8166066
OpenAlexW3164970657

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.