DengueCast
Dengue Outbreak Prediction Tool
Simple and intuitive prediction tool.
Predicts dengue outbreak for 12 Filipino cities.
Integrates available
weather data.
In partnership with Project CCHAIN (https://thinkingmachines.github.io/project-cchain/)
Terms of Use
1. DengueCast provides forecasts based on statistical models and the information should be used as general guidance only. Actual dengue outbreaks may vary due to factors beyond the scope of the tool's predictions. While reasonable efforts have been made to ensure data accuracy, EpiMetrics does not guarantee the completeness, reliability, or suitability of this information for any particular purpose. The tool should not be construed as professional medical advice, and users should consult qualified healthcare professionals for concerns or decisions related to dengue fever or other health matters.
2. This tool is provided "as is" without any express or implied warranties, and in no event shall EpiMetrics or its affiliates be liable for any direct, indirect, incidental, special, or consequential damages arising from its use, even if advised of the possibility of such damages. Users acknowledge and agree that they are using this tool at their own risk, and EpiMetrics shall not be responsible for any damages or losses resulting from such use. EpiMetrics reserves the right to modify, update, or discontinue this tool at any time without prior notice.
Instructions
1. Select Your Location
1. Agree to the Disclaimer and the Terms of Use.
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2. Choose the city or region for which you want to predict the dengue outbreak risk. The DengueCast model provides outbreak predictions only for the following cities: (1) Cagayan de Oro City, (2) Mandaluyong City, (3) Muntinlupa City, (4) Navotas City, (5) Dagupan City, (6) Davao City, (7) Iloilo City, (8) Legazpi City, (9) Mandaue City, (10) Palayan City, (11) Tacloban City, and (12) Zamboanga City.
2. Run the Prediction
Once a city is selected, the tool automatically analyzes the data and provides an outbreak risk assessment. Utilize the predicted probability for appropriate local public health interventions.