Summary
We constructed an intermediate infection model and estimated its parameters based on national census data provided by Oxford University. We further investigated relationships between estimated parameters and environments. The results imply that the COVID-19 is risker in windy & wetter countries.
How We Addressed This Challenge
Data Assimilation, a kind of optimization method, was used to estimate important parameters.
How We Developed This Project
We coded algorihms together.
Project Demo
Our infection model is applicable to project infected people in future.
Data & Resources
JRA55 (Japan Reanalysis over 55 years)
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.