Evidence map›Paper›PMID 29458406›Full record

ArticleTrials2018

Assessing dengue transmission risk and a vector control intervention using entomological and immunological indices in Thailand: study protocol for a cluster-randomized controlled trial.

Hans J Overgaard, Chamsai Pientong, Kesorn Thaewnongiew, Michael J Bangs, Tipaya Ekalaksananan, Sirinart Aromseree, Thipruethai Phanitchat, Supranee Phanthanawiboon, Benedicte Fustec, Vincent Corbel and 2 more

Erratum issuedOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Article
  6. Challenges to Mitigating the Urban Health Burden of Mosquito-Borne Diseases in the Face of Climate Change.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 4 countries.

Hans J OvergaardNorwegian University of Life Sciences, Ås, Norway. hans.overgaard@nmbu.no.ORCID http://orcid.org/0000-0001-7604-3785
Chamsai PientongKhon Kaen University, Khon Kaen, Thailand.
Kesorn ThaewnongiewOffice of Disease Prevention and Control, Region 7, Khon Kaen, Thailand.
Michael J BangsPT Freeport Indonesia/International SOS Indonesia, Kuala Kencana, Indonesia.
Tipaya EkalaksanananKhon Kaen University, Khon Kaen, Thailand.
Sirinart AromsereeKhon Kaen University, Khon Kaen, Thailand.
Thipruethai PhanitchatKhon Kaen University, Khon Kaen, Thailand.
Supranee PhanthanawiboonKhon Kaen University, Khon Kaen, Thailand.
Benedicte FustecKhon Kaen University, Khon Kaen, Thailand.
Vincent CorbelInstitut de Recherche pour le Développement (IRD), Maladies Infectieuses et Vecteurs, Ecologie, Génétique, Evolution et Contrôle (MIVEGEC, UM1-CNRS 5290-IRD 224), Montpellier, France.
Dominique CerqueiraKasetsart University, Bangkok, Thailand.
Neal AlexanderMRC Tropical Epidemiology Group, London, UK.
Khon Kaen University · THKasetsart University · THCentre National de la Recherche Scientifique · FRMRC Epidemiology Unit · GBNorwegian University of Life Sciences · NO

Funding

Norges Forskningsråd FRIPRO project no. 250443
6 · The paper itself

Abstract

backgroundDengue fever is the most common and widespread mosquito-borne arboviral disease in the world. There is a compelling need for cost-effective approaches and practical tools that can reliably measure real-time dengue transmission dynamics that enable more accurate and useful predictions of incidence and outbreaks. Sensitive surveillance tools do not exist today, and only a small handful of new control strategies are available. Vector control remains at the forefront for combating dengue transmission. However, the effectiveness of many current vector control interventions is fraught with inherent weaknesses. No single vector control method is effective enough to control both vector populations and disease transmission. Evaluations of novel larval and adult control interventions are needed. METHODS/

designA cluster-randomized controlled trial will be carried out between 2017 and 2019 in urban community clusters in Khon Kaen and Roi Et cities, northeastern Thailand. The effectiveness of a pyriproxyfen/spinosad combination treatment of permanent water storage containers will be evaluated on epidemiological and entomological outcomes, including dengue incidence, number of female adult dengue vectors infected or not infected with dengue virus (DENV), human exposure to Aedes mosquito bites, and several other indices. These indices will also be used to develop predictive models for dengue transmission and impending outbreaks. Epidemiological and entomological data will be collected continuously for 2 years, with the intervention implemented after 1 year. DISCUSSION: The aims of the trial are to simultaneously evaluate the efficacy of an innovative dengue vector control intervention and developing predictive dengue models. Assessment of human exposure to mosquito bites by detecting antibodies generated against Aedes saliva proteins in human blood samples has, so far, not been applied in dengue epidemiological risk assessment and disease surveillance methodologies. Likewise, DENV detection in mosquitoes (adult and immature stages) has not been used in any practical way for routine disease surveillance strategies. The integration of multiple outcome measures will assist health authorities to better predict outbreaks for planning and applying focal and timely interventions. The trial outcomes will not only be important for Thailand, but also for the entire Southeast Asian region and further afield.

trial registrationISRCTN, ISRCTN73606171 . Registered on 23 June 2017.

Indexed as

Randomized Controlled Trials as TopicRisk AssessmentAedesAnimalsData CollectionDengueEntomologyFemaleHumansInsect Bites and StingsMosquito ControlOutcome Assessment, Health CareResearch DesignSample SizeDengue indexDengue monitoringEntomologyImmunologyRisk assessmentVector control

Identifiers

PMID29458406
PMCPMC5819278
OpenAlexW2795940243

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.