Background:The ongoing new coronavirus pneumonia(Corona Virus Disease 2019,COVID-19)outbreak is spreading in China,but it has not yet reached its peak.Five million people emigrated from Wuhan before lockdown,potential...Background:The ongoing new coronavirus pneumonia(Corona Virus Disease 2019,COVID-19)outbreak is spreading in China,but it has not yet reached its peak.Five million people emigrated from Wuhan before lockdown,potentially representing a source of virus infection.Determining case distribution and its correlation with population emigration from Wuhan in the early stage of the epidemic is of great importance for early warning and for the prevention of future outbreaks.Methods:The official case report on the COVID-19 epidemic was collected as of January 30,2020.Time and location information on COVID-19 cases was extracted and analyzed using ArcGIS and WinBUGS software.Data on population migration from Wuhan city and Hubei province were extracted from Baidu Qianxi,and their correlation with the number of cases was analyzed.Results:The COVID-19 confirmed and death cases in Hubei province accounted for 59.91%(5806/9692)and 95.77%(204/213)of the total cases in China,respectively.Hot spot provinces included Sichuan and Yunnan,which are adjacent to Hubei.The time risk of Hubei province on the following day was 1.960 times that on the previous day.The number of cases in some cities was relatively low,but the time risk appeared to be continuously rising.The correlation coefficient between the provincial number of cases and emigration from Wuhan was up to 0.943.The lockdown of 17 cities in Hubei province and the implementation of nationwide control measures efficiently prevented an exponential growth in the number of cases.Conclusions:The population that emigrated from Wuhan was the main infection source in other cities and provinces.Some cities with a low number of cases showed a rapid increase in case load.Owing to the upcoming Spring Festival return wave,understanding the risk trends in different regions is crucial to ensure preparedness at both the individual and organization levels and to prevent new outbreaks.展开更多
Nipah virus (NiV), a zoonotic paramyxovirus belonging to the genus Henipavirus, is classified as a Biosafety Level-4 pathogen based on its high pathogenicity in humans and the lack of available vaccines or therapeutic...Nipah virus (NiV), a zoonotic paramyxovirus belonging to the genus Henipavirus, is classified as a Biosafety Level-4 pathogen based on its high pathogenicity in humans and the lack of available vaccines or therapeutics. Since its initial emergence in 1998 in Malaysia, this virus has become a great threat to domestic animals and humans. Sporadic outbreaks and person-to-person transmission over the past two decades have resulted in hundreds of human fatalities. Epidemiological surveys have shown that NiV is distributed in Asia, Africa, and the South Pacific Ocean, and is transmitted by its natural reservoir, Pteropid bats. Numerous efforts have been made to analyze viral protein function and structure to develop feasible strategies for drug design. Increasing surveillance and preventative measures for the viral infectious disease are urgently needed.展开更多
INTRODUCTIONHepatitis B viral infection, one of the most-prevalent liver disorders in China and Korea, is aserious infectious disease as it has the potential ofprogressing into liver cirrhosis and primary hepaticcarci...INTRODUCTIONHepatitis B viral infection, one of the most-prevalent liver disorders in China and Korea, is aserious infectious disease as it has the potential ofprogressing into liver cirrhosis and primary hepaticcarcinoma. China and Korea both belong to high-risk endemic regions of viral hepatitis[1]. TheHBsAg positive rates in China ranged from 6.9% -17.9% by age, race and test methods[2-5].展开更多
基金This work was supported by grants from the National Science and Technology Major Project(No.2018ZX10101002-001-001)National Key Research and Development Program Projects of China(No.2017YFD0500305)+3 种基金the State Key Program of National Natural Science of China(No.U1808202)NSFC International(regional)cooperation and exchange program(No.31961143024)the Key-Area Research and Development Program of Guangdong province(No.2018B020241002)the Guangdong Provincial Science and Technology Project(No.2018B020207013)。
文摘Background:The ongoing new coronavirus pneumonia(Corona Virus Disease 2019,COVID-19)outbreak is spreading in China,but it has not yet reached its peak.Five million people emigrated from Wuhan before lockdown,potentially representing a source of virus infection.Determining case distribution and its correlation with population emigration from Wuhan in the early stage of the epidemic is of great importance for early warning and for the prevention of future outbreaks.Methods:The official case report on the COVID-19 epidemic was collected as of January 30,2020.Time and location information on COVID-19 cases was extracted and analyzed using ArcGIS and WinBUGS software.Data on population migration from Wuhan city and Hubei province were extracted from Baidu Qianxi,and their correlation with the number of cases was analyzed.Results:The COVID-19 confirmed and death cases in Hubei province accounted for 59.91%(5806/9692)and 95.77%(204/213)of the total cases in China,respectively.Hot spot provinces included Sichuan and Yunnan,which are adjacent to Hubei.The time risk of Hubei province on the following day was 1.960 times that on the previous day.The number of cases in some cities was relatively low,but the time risk appeared to be continuously rising.The correlation coefficient between the provincial number of cases and emigration from Wuhan was up to 0.943.The lockdown of 17 cities in Hubei province and the implementation of nationwide control measures efficiently prevented an exponential growth in the number of cases.Conclusions:The population that emigrated from Wuhan was the main infection source in other cities and provinces.Some cities with a low number of cases showed a rapid increase in case load.Owing to the upcoming Spring Festival return wave,understanding the risk trends in different regions is crucial to ensure preparedness at both the individual and organization levels and to prevent new outbreaks.
基金supported by National Key Research and Development Program(2016YFC1200800)Advanced Customer Cultivation Project of Wuhan National Biosafety Laboratory,Chinese Academy of Sciences
文摘Nipah virus (NiV), a zoonotic paramyxovirus belonging to the genus Henipavirus, is classified as a Biosafety Level-4 pathogen based on its high pathogenicity in humans and the lack of available vaccines or therapeutics. Since its initial emergence in 1998 in Malaysia, this virus has become a great threat to domestic animals and humans. Sporadic outbreaks and person-to-person transmission over the past two decades have resulted in hundreds of human fatalities. Epidemiological surveys have shown that NiV is distributed in Asia, Africa, and the South Pacific Ocean, and is transmitted by its natural reservoir, Pteropid bats. Numerous efforts have been made to analyze viral protein function and structure to develop feasible strategies for drug design. Increasing surveillance and preventative measures for the viral infectious disease are urgently needed.
基金Project supported by the National Natural Science Foundation of China, No. 39560074Korea ScienceEngineering Foundation, 965-0700-001-2.
文摘INTRODUCTIONHepatitis B viral infection, one of the most-prevalent liver disorders in China and Korea, is aserious infectious disease as it has the potential ofprogressing into liver cirrhosis and primary hepaticcarcinoma. China and Korea both belong to high-risk endemic regions of viral hepatitis[1]. TheHBsAg positive rates in China ranged from 6.9% -17.9% by age, race and test methods[2-5].
