DENGUE EARLY WARNING MODEL USING DEVELOPMENT STAGES OF Aedes aegypti MOSQUITO AND CLIMATE INFORMATION
RINI HIDAYATI1, RIZALDI BOER2, YONNY KOESMARYONO1,
UPIK KESUMAWATI3, AND SJAFRIDA MANUWOTO4
1. Departement of Geophysics and Meteorology, Bogor Agricultural University (IPB), Darmaga, Bogor 16680, Indonesia
2. Centre for Climate Risk and Opportunity Management in Southeast Asia and Pacific (CCROM-SEAP), Bogor 16143, Indonesia
3. Veterinary Health Entomology Laboratory, Veterinary Faculty, IPB, Bogor 16680, Indonesia
4. Entomology Laboratory, Dept. Of Plant Protection, IPB, Bogor 16680, Indonesia
The use of early warning system is potential adaptation options to reduce the impact of the climate variability and change. This study aims to develop a dengue early warning model using climate information. The model was developed through three steps of analysis. First step was to determine the length of periods used in prediction and optimal time for eradicating Aedes aegypti mosquito’s breeding sites. Second step was to identify the best prediction model of dengue incidence rate (IR). Third step was to develop an early warning model using stochastic spreadsheet. It was found that the best predictors for predicting dengue incidence rate at week-n (IRn) were (1) rainfall index with two weeks lead time (ICHn-2). The rainfall index of week-nth is a function of three week moving averages rainfall (CH3), i.e. (CH3n-1.155*CH3n-1+0.702*CHn-2), and (2) IR with one week lead time (IRn-1). The IR model prediction was IRn = 0.795*IRn-1+0.067*ICHn-2 with R2=76.6%. These models (result model from first and third step) can be used to provide early warning on optimum time for controlling the mosquito’s breeding sites and the need for fogging action in order to avoid the dengue incidence rate beyond the critical limit defined by the Ministry of Health.
Key words: Aedes aegypti mosquito, early warning model, optimal breeding site controlling time, climate variability and change.
(Published in BIOTROPIA vol 9 No 1 Juni 2012-SEAMEO BIOTROP)