COVID-19 Alarm. Future forecast from satellite data　

Not simply a prediction of COVID-19 positives. But the system that the location of outbreaks in 1 km increments through satellite data analysis, allowing future forecast 1-month leeway period.

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Inspiration

Due to the spread of COVID-19 infection, the world is facing the worst economic crisis after the war. For example, in January 2022, when the COVID-19 infection exploded, the number of hotel guests decreased by 90% compared to the average year. In addition, due to the prolonged blockade of Shanghai port by COVID-19, The world supply chain has been disrupted.

What it does

We are not just future forecast the number of COVID-19, In addition to the aspect of identifying the location of occurrence in 1km units, The mechanism that can respond with a margin of 1-month, "COVID-19 Alarm" has been released.

How we built it

As a method, from satellite data (Sentinel-5P) analysis, We have succeeded in finding a correlation between air pollution around the world and COVID-19. As a result, it is more scientific and accurate than human flow prediction(R2:60.8%). Suitable rate (R2:84.30% 07/19/2022)

Challenges we ran into

As a method, from satellite data (Sentinel-5P) analysis, We have succeeded in finding a correlation between air pollution around the world and COVID-19. As a result, it is more scientific and accurate than human flow prediction.

Accomplishments that we're proud of

In terms of global observation of air pollutants, Observation data by Sentinel-5P is Very important. For the first time, by combining ground data there Since it is possible to specify and future forecast in 1km units, COVID-19 Not only the health of the whirlpool, but also the impact on the business It will be finely future forecast .

What we learned

We have succeeded in finding a correlation between air pollution around the world and COVID-19.

What's next for COVID-19 Alarm

After the spread of COVID-19 worldwide, the number of all service has correlated with the increase and decrease in the number of COVID-19 positives. (Example: Increase in positives: 90% decrease in guests compared to the average year; Decrease in the number of positives: 5% increase in the number of guests)

Built With

  • ai
  • air
  • data
  • future
  • ground
  • pollution
  • satellite
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