Cross-Sectional Study of SARS-CoV-2 Epidemic in China and Implications for the World

Autor: Zemin Chen, Bo Peng, Youfu Ke
Rok vydání: 2020
Předmět:
Zdroj: Iranian Red Crescent Medical Journal. 22
ISSN: 2074-1812
2074-1804
Popis: Background: Mainland China has adopted the most decisive and proactive measures to contain the SARS-CoV-2 epidemic, which helps control the spread of the virus across the country. Objectives: Early epidemiological investigations found that the SARS-CoV-2 epidemic was more critical in Hubei province (Hubei) than in rest parts of mainland China (Rest of China). A cross-sectional study was conducted to answer this urgent question and provide implications for the world. Methods: Infected cases from Mainland China were divided into two groups: Hubei and the Rest of China. Prevention, quarantine, and treatment were based on The Novel Coronavirus Infected Pneumonia Diagnosis and Treatment Standards. Total confirmed cases, daily severe cases, total deaths, and total discharged cases were collected from January 20 to March 4 for statistical analysis. Results: Hubei accounted for 83.9% of China's total confirmed cases and 96.3% of China's total deaths. The percentage of severe cases and the rate of fatality in Hubei were higher than those in the Rest of China (P < 0.01). Daily severe cases in Hubei hit the peak at 11,246 cases on February 18, compared to 989 cases on February 10 in the Rest of China. The percentages of daily severe cases in both regions declined throughout the epidemic, from 23.3% to 8.6% in Hubei compared to 15.0% to 1.3% in the Rest of China. The latest fatality rate in Hubei was 4.30%, which was much higher than 0.85% in the Rest of China. Up to March 4, 64.7% of China's total confirmed cases were cured, 3.86% died, and 31.5% were under treatment. Conclusions: The implications for the world are cutting off the sources of infection and transmission routes, early detection, early isolation, and early treatment that can prevent the spread of SARS-CoV-2 and reduce the severity and fatality rate.
Databáze: OpenAIRE