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Use Case 1: Predict Ann's chance of Covid 19 exposure
Primary Actor: A cell phone user Ann Scope: Android/Apple cell phone Level: Visualize probability of getting contaminated with the back end model prediction based model prediction.
Main success scenario:
Map view shows contamination chance.
Uncontaminated/contaminated user shared trace of their activities.
Model chance are rendered from SciML
Extensions:
1a. Map view shows test sites
2a. Trace record pulse map
3a. Realtime virus data online prediction
Variations:
Various things are going well for you and your family. Buble view?
Use Case 2: Identify hotspots for National Healthcare Institute
Primary Actor: A government organization "National Healthcare Institute" Scope: Android/Apple cell phone Level: Identify and visualize hotspots of coronavirus with the back end model prediction based model prediction.
Main success scenario:
Map view shows identified hotspots.
Model chance are rendered from SciML
Extensions:
1a. Notify users if they are hotspots in their proximity.
Use Case 3: Avail the API for Fatimah's new contact tracing application
Primary Actor: A developer Fatimah Scope: API Level: Make the prediction model service available to developers/researchers/organizations using API endpoints.
Main success scenario:
Prediction model service accessible from API.
Extensions:
1a. Allow researchers to upload their own data to use with prediction.
2a. Add API keys for better provisioning of server resources.
The text was updated successfully, but these errors were encountered:
Maybe we could have another use case to show hotspots of coronavirus.
Just need to set a probability threshold, and overlay that area of map with a red circle.
Could be used not only by users but also health care organizations.
Motivation: Users might be able to use this to plan their travel routes better. Health care/Govt orgs can better take action to quarantine.
Yet another use case could be the availability of backend through API that can allow developers or government organizations to integrate the model into their own systems.
I am pretty sure there is a Julia library that can allow us to do this natively instead of using Django/Flask. Cool thing that we can use the same API for our frontend application as well :D.
Use Case 1: Predict Ann's chance of Covid 19 exposure
Primary Actor: A cell phone user Ann
Scope: Android/Apple cell phone
Level: Visualize probability of getting contaminated with the back end model prediction based model prediction.
Main success scenario:
Extensions:
1a. Map view shows test sites
2a. Trace record pulse map
3a. Realtime virus data online prediction
Variations:
Use Case 2: Identify hotspots for National Healthcare Institute
Primary Actor: A government organization "National Healthcare Institute"
Scope: Android/Apple cell phone
Level: Identify and visualize hotspots of coronavirus with the back end model prediction based model prediction.
Main success scenario:
Extensions:
1a. Notify users if they are hotspots in their proximity.
Use Case 3: Avail the API for Fatimah's new contact tracing application
Primary Actor: A developer Fatimah
Scope: API
Level: Make the prediction model service available to developers/researchers/organizations using API endpoints.
Main success scenario:
Extensions:
1a. Allow researchers to upload their own data to use with prediction.
2a. Add API keys for better provisioning of server resources.
The text was updated successfully, but these errors were encountered: