COVID-19 Data Analysis and Computation with Urban Structure Consideration

In early 2020, the outbreak of COVID-19 brought a global pandemic, challenging healthcare systems worldwide and prompting countries to implement various measures to contain the spread. These measures, while necessary, led to significant socioeconomic disruptions. One of the most pressing concerns was the strain on healthcare systems, which caused shortages of medical supplies, hospital beds, and healthcare personnel. This raised the prospect of a healthcare system collapse. Using data analysis, we studied how to understand the dynamics of COVID-19 transmission in the context of urban structures, focusing on preventing healthcare system collapse.