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Impact of Population Emigration from Wuhan and Medical Support on COVID-19 Infection in China
Yang Yao1, Yao Tian1, Jing Zhou1
1Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi 710077, PR China.
Insights
Population movement from Wuhan influenced COVID-19 outbreaks nationwide. Enhanced medical support significantly boosted patient recovery rates, improving the overall cure rate for Coronavirus Disease 2019 (COVID-19).
Area of Science:
- Epidemiology
- Public Health
- Infectious Diseases
Background:
- The Coronavirus Disease 2019 (COVID-19) outbreak originated in Wuhan.
- Understanding factors influencing COVID-19 spread and outcomes is critical.
Purpose of the Study:
- To analyze the impact of medical support and population emigration from Wuhan on COVID-19 cure rates and mortality in China.
- To provide early warnings for the developmental trend of the COVID-19 epidemic.
Main Methods:
- Utilized data from national and provincial health commissions in China.
- Employed Poisson distribution and normal approximation for statistical analysis.
- Analyzed the relationship between population emigration and outbreak probability, and predicted epidemic trends.
Main Results:
- Population emigration from Wuhan was linked to outbreaks in 87% of Hubei cities and 76% of other Chinese provinces.
- Medical support demonstrated a significant positive correlation with improved COVID-19 cure rates (r = 0.852, p < 0.001).
- Identified Guangdong and Henan as key provinces for epidemic prevention efforts.
Conclusions:
- Population emigration from Wuhan significantly influenced the probability of COVID-19 outbreaks across China.
- Medical support plays a crucial role in enhancing the cure rate for patients with COVID-19.
Background:
The novel Coronavirus Disease 2019 (COVID-19) infection broken out in Wuhan. We aimed to analyse the impact of medical support and population emigration from Wuhan on the cure rate and mortality of COVID-19 infection in China and to provide early warning on the developmental trend of the epidemic.
Methods:
Data were obtained from The National Health Commission of People's Republic of China, Chinese Center for Disease Control and Prevention and The National Health Commission of People's Republic of Hubei Province. The Poisson distribution and normal approximate were used to analyse the relationship between population emigration from Wuhan and the probability of outbreaks and to predict the developmental trend of the epidemic situation.
Results:
The outbreak were related to population emigration from Wuhan in 87% of the cities in Hubei. The result of developmental trend indicated that 95% confidence intervals of confirmed case in Xiaogan and HuangGang were 3301.678-3526.042 and 3201.189-3422.17, respectively. For province outside of Hubei, the outbreak in 76% of the provinces were related to population emigration from Wuhan. Hot spot provinces for epidemic prevention included GuangDong and HeNan. Medical support significantly improved the cure rate of patients with COVID-19 (r = 0.852, p < 0.001).
Conclusion:
Population emigration from Wuhan has a certain impact on the probability of outbreaks COVID-19 in Hubei and the whole country, medical support improved the cure rate of patients with COVID-19.
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