High-Level Project Summary
Air pollution is the cause of the Covid-19.So, COVID-19 can very easy future forecast.We made a future forecast our Tokyo Japan as a model case.Base Day:09/30/2021 Forecast Day:10/15/2021 and 01/01/2022/This data show us that less than half of the data calculated based on December 2020. So, our Data proves that the effectiveness of the vaccine.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Air pollution is the cause of the Covid-19.
So, COVID-19 can very easy future forecast.
(COVID-19 = Air pollutants, Infection spread)
(1)Facts and tools
We have confirmed that the same phenomenon is occurring in the world in December 2020.
Nagoya (Aichi), Tokyo, Los Angeles, New York, London, Paris, New Delhi
And, We do created a tool that AI analyzes the risk of infection can be evaluated anywhere.
(Sorry, only Japan)
We also created a 3D map so that we can visually evaluate places where there is a risk of infection.
(Sorry, only Tokyo Japan)
Measures can be taken based on scientific evidence.
(2)Future forecast(case Tokyo)
We made a future forecast using our Tokyo as a model case.
Base Day:09/30/2021 Forecast Day:10/15/2021 and 01/01/2022/
We also made an infection risk assessment map in 1km increments.
It should be usable as a countermeasure.
There are also precedent cases.
Base Day:09/15/2021 Forecast Day:10/04/2021
Again, we understand that air pollution is decreasing so that the number of Covi-19 positive diseases.
This data show us that less than half of the data calculated based on December 2020.
So, our Data that proves the effectiveness of the vaccine.
(3)Long Future forecast
We also forecast the situation in Tokyo, Pyongyang, and Beijing in January 2022.
(4)DOC
https://drive.google.com/file/d/1YjuFoYoC2fdOP80diMnCcgw4YTP5sb0k/view?usp=sharing
Space Agency Data
NASA worldview
https://worldview.earthdata.nasa.gov/?v=136.31746010246144,34.35526780928118,142.32038978996144,37.10184984053118&l=OMI_Nitrogen_Dioxide_Tropo_Column(opacity=0.45),Reference_Labels_15m,Reference_Features_15m,Coastlines_15m,VIIRS_NOAA20_CorrectedReflectance_TrueColor(hidden),VIIRS_SNPP_CorrectedReflectance_TrueColor(hidden),MODIS_Aqua_CorrectedReflectance_TrueColor(hidden),MODIS_Terra_CorrectedReflectance_TrueColor(hidden)&lg=false&t=2021-06-21-T16%3A00%3A00Z
https://worldview.earthdata.nasa.gov/?v=121.10963345962847,28.375902650136435,151.36250335690886,42.217808715876004&l=MERRA2_Dust_Surface_Mass_Concentration_PM25_Monthly(opacity=0.25),Reference_Labels_15m,Reference_Features_15m,Coastlines_15m,VIIRS_NOAA20_CorrectedReflectance_TrueColor(hidden),VIIRS_SNPP_CorrectedReflectance_TrueColor(hidden),MODIS_Aqua_CorrectedReflectance_TrueColor(hidden),MODIS_Terra_CorrectedReflectance_TrueColor(hidden)&lg=false&t=2021-06-23-T18%3A00%3A00Z
https://sprintars.riam.kyushu-u.ac.jp/archivej.html
https://so2.gsfc.nasa.gov/no2/no2_index.html
https://eodashboard.org/?country=JP&poi=JP01-N5
https://maps.s5p-pal.com/
Hackathon Journey
Our Data that proves the effectiveness of the vaccine.
Unfortunately, measures that do not comply with science are being implemented in Tokyo.
Therefore, our lives are very difficult.
That's why we made it because we want to implement rational policies that are compliant with science.
References
〇Video: Overview
https://youtu.be/joZ8PTEhzeQ
〇Presentation:
Peer-reviewed treatises, correlation calculation data center
https://app-future-forecast.mystrikingly.com/
〇DEMO and tools
https://app-future-forecast.mystrikingly.com/
1.Air pollution (NO) service area analysis
2.Concentration distribution of annual average value of PM2.5 (2018)
3.Phenomenon that air pollution causes new corona in different places in the world
★10/4/2021 Forecast
★10/15/2021 Foreast
〇DATA
★1km Risk map(tokyo)
◎1/1/2022 LONG Futer Forecast
1.Tokyo
2.Bijin
3.Pyongyang
★1km Risk & number map(tokyo)
For more information
https://drive.google.com/file/d/1YjuFoYoC2fdOP80diMnCcgw4YTP5sb0k/view?usp=sharing
Tags
#NASA, #covid-19,#satellite, #japan, #vaccination
Global Judging
This project has been submitted for consideration during the Judging process.

