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Identifying West Nile virus risk areas: the Dynamic Continuous-Area Space-Time system
Constandinos N Theophilides1, Sean C Ahearn, Sue Grady
1Center for Advanced Research of Spatial Information, Hunter College, City University of New York, New York, NY 10021, USA. ctheo@geo.hunter.cuny.edu
American Journal of Epidemiology
|May 3, 2003
Summary
The Dynamic Continuous-Area Space-Time (DYCAST) system identifies high-risk West Nile virus areas in New York City. This system effectively targets control efforts by predicting human infection hotspots.
Area of Science:
- Epidemiology
- Geographic Information Systems (GIS)
- Vector-borne disease surveillance
Background:
- West Nile virus poses a significant public health risk.
- Effective surveillance systems are crucial for timely intervention.
- Previous methods lacked localized, predictive capabilities for West Nile virus.
Purpose of the Study:
- To develop and evaluate the Dynamic Continuous-Area Space-Time (DYCAST) system.
- To prospectively monitor high-risk areas for West Nile virus.
- To assess DYCAST's utility in targeting public health interventions.
Main Methods:
- Utilized a geographic model incorporating a localized Knox test.
- Analyzed space-time interactions of dead birds within a 1.5-mile buffer and 21-day window.
- Implemented Knox analysis as an interpolation function to generate probability surfaces across 1,400 grid cells in New York City.
Main Results:
- The DYCAST system successfully identified high-risk areas for human West Nile virus infection.
- The system predicted five of seven human cases at least 13 days before illness onset.
- Model parameters were calibrated using year 2000 data and vector-host transmission dynamics.
Conclusions:
- The DYCAST system is an effective tool for prospective West Nile virus surveillance.
- DYCAST enables targeted remediation and control efforts, improving public health outcomes.
- The system demonstrates the value of integrated GIS and epidemiological modeling for disease management.