Zhicheng Liu, Dingqi Li, Jinhua Li, Yue Du, Li Wang, Jiarui Si
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引用次数: 0
Abstract
Objective: At present, COVID-19 has already spread rapidly as a global pandemic, just like SARS in 2003 and H1N1 swine influenza in 2009. This study analyzes surveillance and emergency responses to these three epidemics to identify gaps in public health emergency management.
Methods: This case-comparative study uses 6 critical time points to evaluate and compare the responses.
Results: Results indicate that China has demonstrated improvements in pathogen identification and governmental coordination since the SARS outbreak, though its overall responsiveness during COVID-19 remained slower than that of the U.S. during the H1N1 pandemic. Specifically, the total response time for COVID-19 was 47 days-64 days faster than during SARS, but still 19 days slower than the U.S. response to H1N1.
Conclusions: Big data technology is crucial for China's epidemic prevention and control, and has a significant influence on future detection and prevention.
期刊介绍:
Disaster Medicine and Public Health Preparedness is the first comprehensive and authoritative journal emphasizing public health preparedness and disaster response for all health care and public health professionals globally. The journal seeks to translate science into practice and integrate medical and public health perspectives. With the events of September 11, the subsequent anthrax attacks, the tsunami in Indonesia, hurricane Katrina, SARS and the H1N1 Influenza Pandemic, all health care and public health professionals must be prepared to respond to emergency situations. In support of these pressing public health needs, Disaster Medicine and Public Health Preparedness is committed to the medical and public health communities who are the stewards of the health and security of citizens worldwide.