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The goal is to determine and analyze the spread of an epidemic in specific areas. This can be particularly useful to villages and other areas where healthcare facilities are not readily available. Machine learning models can be built that predict the nature of the spread of an epidemic in an area and also determine where the next outbreak of an epidemic is most likely to occur.
Factors such as geography, climate, demographics, and distribution of an affected area’s population have to be taken into account while training the machine learning model so that you can identify other areas prone to outbreaks.
TAHIR0110
commented
3 months ago
Is there an existing issue for this?
Feature Description
The goal is to determine and analyze the spread of an epidemic in specific areas. This can be particularly useful to villages and other areas where healthcare facilities are not readily available. Machine learning models can be built that predict the nature of the spread of an epidemic in an area and also determine where the next outbreak of an epidemic is most likely to occur. Factors such as geography, climate, demographics, and distribution of an affected area’s population have to be taken into account while training the machine learning model so that you can identify other areas prone to outbreaks.
Use Case
Helps to predict and manage epidemic outbreaks.
Benefits
No response
Add ScreenShots
No response
Priority
High
Record