Table 1 Independent and dependent variables used in the proposed forecasting model
From: Analysis of significant factors for dengue fever incidence prediction
Independent variables | Source | Data type | Unit |
|---|---|---|---|
1. Average temperature (AvgTemp) | Thai Meteorological department | Continuous | Celsius (°C) |
2. Average rainfall (AvgRain) | Thai Meteorological department | Continuous | Millimeters (mm) |
3. Average humidity (AvgHumid) | Thai Meteorological department | Continuous | Percentage (%) |
4. Average wind speed (AvgWind) | Thai Meteorological department | Continuous | Miles per hour (mph) |
5. Ae. aegypti larvae infection rate (AegRate) | Parasitology Department, Chulalongkorn University | Continuous | Percentage (%) |
6. Female mosquito infection rate (Fmosquito) | Parasitology Department, Chulalongkorn University | Continuous | Percentage (%) |
7. Male mosquito infection rate (Mmosquito) | Parasitology Department, Chulalongkorn University | Continuous | Percentage (%) |
8. Season | - | Nominal | N/A |
9. Population (Pop) | Total population in each studied region | Continuous | Number of people |
10. Dengue cases | National Trustworthy and Competent Authority Epidemiological Surveillance and Investigation Department (NTCAESI) | Continuous | Cases per 100,000 individuals |