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

Overview of attention for article published in Trials, February 2018
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Title
Assessing dengue transmission risk and a vector control intervention using entomological and immunological indices in Thailand: study protocol for a cluster-randomized controlled trial
Published in
Trials, February 2018
DOI 10.1186/s13063-018-2490-1
Pubmed ID
Authors

Hans J. Overgaard, Chamsai Pientong, Kesorn Thaewnongiew, Michael J. Bangs, Tipaya Ekalaksananan, Sirinart Aromseree, Thipruethai Phanitchat, Supranee Phanthanawiboon, Benedicte Fustec, Vincent Corbel, Dominique Cerqueira, Neal Alexander

Abstract

Dengue 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. A 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. 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. ISRCTN, ISRCTN73606171 . Registered on 23 June 2017.

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The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Student > Bachelor 15 12%
Researcher 13 10%
Student > Ph. D. Student 9 7%
Student > Postgraduate 7 6%
Other 17 13%
Unknown 47 37%
Readers by discipline Count As %
Medicine and Dentistry 19 15%
Nursing and Health Professions 14 11%
Agricultural and Biological Sciences 11 9%
Biochemistry, Genetics and Molecular Biology 6 5%
Immunology and Microbiology 4 3%
Other 20 16%
Unknown 53 42%