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Published on: March 13, 2018
Transmission acceleration outperforms the endemic-channel threshold for dengue outbreak detection.
Keanu John Pelitro1, Julia Fye Manzano1, Troy Owen Matavia1
1University of the Philippines Resilience Institute, Quezon City, Philippines.
Extreme weather complicates dengue outbreak prediction. New transmission acceleration detectors offer earlier and more reliable early warnings for dengue fever, outperforming traditional methods.
Area of Science:
- Epidemiology
- Climate Change Impact
- Public Health Surveillance
Background:
- Extreme weather events are increasingly disrupting historical patterns of dengue transmission.
- Existing dengue outbreak detection thresholds lack validation for extreme weather scenarios, hindering early warning systems.
Purpose of the Study:
- To evaluate the efficacy of transmission acceleration as an early warning signal for dengue outbreaks.
- To compare the performance of acceleration-based detectors against the traditional endemic-channel threshold under diverse epidemiological settings.
Main Methods:
- Transmission acceleration and endemic-channel thresholds were evaluated across a hyperendemic city, seventeen tropical regions, and eight dengue-endemic countries.
- Performance metrics included cases captured, lead time, warning persistence, and sensitivity.
Main Results:
- Acceleration-based detectors demonstrated superior performance, capturing significantly more dengue cases and providing greater lead time for warnings.
- At the city scale, transmission acceleration detected 4,257 cases compared to 1,119 with the endemic channel, achieving 100% sensitivity versus 30%.
Conclusions:
- Transmission acceleration provides a more robust and consistent signal for early dengue outbreak detection, especially under extreme weather conditions.
- Acceleration-based detectors are better suited for dengue surveillance in a changing climate, enabling timely anticipatory public health actions.
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