Combined use of several vector control tools for the control of dengue in Malaysia

Conditions

Dengue Infections and Infestations Dengue

Saadatian-Elahi M, Rabilloud M, Möhlmann TWR, Langlois-Jacques C, Ariffin FD, Farenhorst M, Elsensohn MH, Schmitt F, Richardson JH, Baur F, Leduc M, Romli NN, Tan LK, Norazman MR, Shahar H, Mudin RN, Alexander N, Ab Hamid N.

2025-05-124 citations

10.1016/s1473-3099(25)00086-6

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.

Saadatian-Elahi M, Alexander N, Möhlmann T, Langlois-Jacques C, Suer R, Ahmad NW, Mudin RN, Ariffin FD, Baur F, Schmitt F, Richardson JH, Rabilloud M, Hamid NA.

2021-05-303 citations

10.1186/s13063-021-05298-2

Interventions

The sample size determination was based on an adapted version of the bootstrap approach proposed by Kleinman K and Huang SS [Kleinman 2016] for cluster randomized trials. Localities in the catchment a

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: This is a cluster randomized trial that does not involve the direct participation of individuals. Low and medium level localities in the Federal Territory of Kuala Lumpur and Putrajaya, Malaysia with 800 to 8000 inhabitants and with recurrent dengue outbreaks reported from 2015 to 2018 were eligible to be included in the trial.

Exclusion criteria

Exclusion criteria: 1. Localities within 1 km radius from Wolbachia study sites and other study sites registered with MOH Malaysia 2. Localities listed as school and universities hostel, police and fire department training centre and construction sites

Design outcomes

Primary

Measure	Time frame
Dengue incidence rate estimates obtained from the national eDengue system at the end of the intervention, year 2	—

Secondary

Measure	Time frame
1. Ovitrap index estimated as the percentage of the number of positive ovitraps to the number of ovitraps recovered at the end of baseline data collection (08/02/2020) and at the end of the intervention, year 2 2. Larval count per trap estimated as the total number of larvae recovered in positive ovitraps at the end of baseline data collection (08/02/2020) and at the end of the intervention, year 2	—

Measure

Time frame

1. Ovitrap index estimated as the percentage of the number of positive ovitraps to the number of ovitraps recovered at the end of baseline data collection (08/02/2020) and at the end of the intervention, year 2 2. Larval count per trap estimated as the total number of larvae recovered in positive ovitraps at the end of baseline data collection (08/02/2020) and at the end of the intervention, year 2

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Countries

Malaysia

Contacts

Public ContactNurulhusna Ab Hamid

husna.hamid@moh.gov.my+60 (0)3 3362 8995

Outcome results

None listed