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1
Introduction
2
Influenza Transmission Dynamics
3
Predicting Individual Outbreaks
4
Calibration of Forecasts
5
New Orleans Forecast
6
Conclusion
7
Adrienne Thompkins
8
I CDP Model
9
West Nile Virus
10
Forecast Model
11
Data
12
Model
13
Synthetic Test
14
Optimization
15
Forecast
16
Accuracy
17
Temperature
18
RealTime Forecast
19
Presentation
20
Framework
21
Human Case Data
22
Mosquito Trap Data
Description:
Explore a comprehensive conference session on the climate drivers of infectious diseases, covering past, present, and future perspectives. Delve into influenza transmission dynamics, outbreak predictions, and forecast calibrations. Examine the West Nile Virus forecast model, including data analysis, optimization techniques, and real-time forecasting. Learn about the CDP model and its applications in predicting disease outbreaks. Gain insights from experts in the field as they discuss temperature effects, human case data, and mosquito trap data in relation to infectious disease spread and prediction.

Climate Drivers of Infectious Disease: Past, Present, and Future - 2017

AGU
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