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Updated: Sep 29, 2025
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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
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Research on Quantitative Analysis of Multiple Factors Affecting COVID-19 Spread
Yu Fu1, Shaofu Lin1,2, Zhenkai Xu1
1Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Summary
Population density and landing flights significantly impact COVID-19 spread. Increasing population density by 1% correlates with a 1.08% rise in daily diagnoses, highlighting the need for social distancing and travel controls.
Area of Science:
- Epidemiology
- Data Science
- Public Health
Background:
- The global spread of Coronavirus Disease 2019 (COVID-19) necessitates understanding transmission dynamics.
- Quantitative analysis of influencing factors is crucial for effective epidemic control strategies.
Purpose of the Study:
- To quantitatively analyze the relationship between various factors and COVID-19 spread.
- To provide a theoretical basis for government-led epidemic prevention and control.
Main Methods:
- Utilized public datasets from JHU CSSE, air quality platforms, meteorological networks, and WorldPop.
- Employed a Dual-link BiGRU Network for epidemic prediction.
- Applied the Gauss-Newton iteration method for quantitative analysis of feature factor relationships.
Main Results:
- Population density showed the strongest positive correlation with epidemic spread.
- The number of landing flights was the second most significant factor.
- A 1% increase in population density correlated with a 1.08% increase in daily new cases.
- A 1% increase in landing flights correlated with a 0.98% increase in daily new cases.
Conclusions:
- Controlling social distance and population movement is a high priority for epidemic prevention.
- Effective management of population density and travel is vital for controlling COVID-19 transmission.
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