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Updated: Feb 14, 2026

Protocol for Dengue Infections in Mosquitoes A. aegypti and Infection Phenotype Determination
Published on: July 4, 2007
Factors determining dengue outbreak in Malaysia.
Rohani Ahmad1, Ismail Suzilah2, Wan Mohamad Ali Wan Najdah1,3
1Medical Entomology Unit & WHO Collaborating Centre for Vectors, Institute for Medical Research, Kuala Lumpur, Malaysia.
This study reveals that dengue outbreaks in Malaysia are linked to entomological, epidemiological, and environmental factors. An early warning system using these factors can predict and help prevent future dengue epidemics.
Area of Science:
- Medical Entomology
- Epidemiology
- Environmental Science
- Public Health
Background:
- Dengue outbreaks pose a significant public health challenge in Malaysia.
- Understanding the interplay of entomological, epidemiological, and environmental factors is crucial for effective control.
Purpose of the Study:
- To elucidate the relationships among entomological, epidemiological, and environmental factors contributing to dengue outbreaks in Malaysia.
- To develop a predictive model for dengue outbreak forecasting.
Main Methods:
- Large-scale field study over 81 weeks in high-incidence areas (Selayang and Bandar Baru Bangi).
- Entomological data collection using ovitraps for Aedes mosquito larvae and RT-PCR for dengue virus detection.
- Epidemiological data included notified cases and interventions; environmental data comprised rainfall, temperature, humidity, and air pollution index (API).
- Correlation and Autoregressive Distributed Lag (ADL) models were employed for analysis.
Main Results:
- Notified dengue cases showed indirect relationships with environmental factors, with a time lag of 1-4 weeks.
- Intervention timing was found to be delayed, allowing for dengue transmission.
- The ADL model achieved high prediction accuracy: 84.9% for Selayang and 84.1% for Bandar Baru Bangi.
Conclusions:
- A significant relationship exists among entomological, epidemiological, and environmental factors in dengue outbreaks.
- The developed ADL model can serve as an effective early warning system for predicting dengue outbreaks.
- Early implementation of preventive interventions based on such a system can help avert outbreaks.
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