danieldynesius / covid Goto Github PK

Covid Fox Monitoring
A Covid Wastewater Project

• Give People An Overview of Current Covid Transmission Levels
• Collect & Share Data Sources for people to use for their Covid-projects
  
  

• Find more Datalinks to Covid Wastewater Data
• Find ways to use social media data ❌ ${\color{red}\text{Cancelled}}$
• Find ways to pull aggregated google trends search terms data by region
• Find ways to pull aggregated mobility data per region
• Forecast covid transmission per country 1-4+ weeks ahead ✔ ${\color{green}\text{Completed}}$
• Forecasts per region
• Improve forecasts
• Add variant data for better predictions 🔨👷🚧⚠️ ${\color{darkorange}\text{In Progress}}$
• Improved data standardization 🔨👷🚧⚠️ ${\color{darkorange}\text{In Progress}}$
• Add Research News from Nature.com using LLM to interpret Abstract for laypersons.✔ ${\color{green}\text{Completed}}$
  
  

• Find ways of better hosting (URGENT - Exceeding free github tier) ✔ ${\color{green}\text{Completed}}$
• Data Quality Control
• Implementation of proper CI/CD pipeline
• Testing prior to releases
• Full automation of independent daily updates
  
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• Simulations of NPI's & transmission level
  
  
  
  

Link to Covid-19 Wastewater Monitoring Website (Click Here!)

Interpretation

• Sweden: Red = "High Transmission". Based on the height of Uppsala wastewater measures during wave 1 2020.
• All Other Countries: Red = "Relatively High Transmission". Based on each country separately relative to the Min-Max values in the timeperiod.
• Withinin country comparisons can be made.
• Between country comparisons should ONLY be made with careful interpretation. The colors are relative, so I believe only relative time dimension interpretations are possible. NOT degree of transmission on a specific week. The reason is that almost each country uses different metrics to track transmission.

The Heuristic of the Swedish Cut-off Value of 10 and above indicated as "high transmission" (red).

Later might update the trend graphs. The trick is to figure out how to create a concise & intuitive overview.

A simple Neural Net implemented. Caution: Very early stage. Interpret carefully. Known issues:

• Bugs when running for some countries e.g. Finland and Poland.
• Will not capture sudden strong spikes.

Uses a large language model to make research news more accessible to non-scientists.

For questions, suggestions, requests or ideas: Contact me on twitter or linkedin.

LinkedIn 

Email: [email protected]