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Analyzing COVID-19 Using Multisource Data: An Integrated Approach of Visualization, Spatial Regression, and Machine

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Geographical analysis of Coronavirus disease 2019 (COVID-19) reveals population outflow from Wuhan as the primary driver of its spatial-temporal spread. Understanding these factors is crucial for effective epidemic control and policy design.

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COVID‐19XGBoostgeographical perspectivemixed GWRspatial‐temporal patternsvisualization

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Area of Science:

  • Epidemiology
  • Geospatial analysis
  • Public Health

Background:

  • Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, emerged in Wuhan, China, in December 2019.
  • The rapid global increase in COVID-19 cases and fatalities necessitates urgent prevention and control strategies.
  • Analyzing COVID-19 spread from a geographical perspective offers insights into spatial-temporal patterns and influencing factors.

Purpose of the Study:

  • To analyze Coronavirus disease 2019 (COVID-19) using a geographical approach.
  • To visualize spatial-temporal epidemic information for COVID-19.
  • To identify key factors influencing the spread of COVID-19.

Main Methods:

  • Integration of a point grid map with calendar-based visualization for spatial-temporal variations.
  • Application of mixed geographically weighted regression (mixed GWR) and extreme gradient boosting (XGBoost) for factor identification.
  • Utilizing multisource big geodata for characterizing COVID-19 trends.

Main Results:

  • Visualization effectively depicted spatial-temporal patterns of COVID-19.
  • Population outflow from Wuhan identified as the most significant factor in COVID-19 spread.
  • Statistically significant spatial heterogeneity was observed in the influencing factors.

Conclusions:

  • Multisource big geodata, integrated with visualization and analytical methods, can characterize COVID-19 trends.
  • Understanding influential factors aids in policy design and decision-making for epidemic control.
  • Effective COVID-19 control involves managing infection sources, transmission routes, and protecting vulnerable populations.