Guangdong Province

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 47100 Experts worldwide ranked by ideXlab platform

Yonghui Zhang - One of the best experts on this subject based on the ideXlab platform.

  • impact of hepatitis b vaccination among children in Guangdong Province china
    International Journal of Infectious Diseases, 2012
    Co-Authors: Jianpeng Xiao, Jikai Zhang, Xiaoping Shao, Guowen Peng, Zhiqiang Peng, Yonghui Zhang, Huizhen Zheng
    Abstract:

    Summary Objective To evaluate the impact of the universal infant hepatitis B vaccination program on hepatitis B virus (HBV) infection in Guangdong Province, China. Methods In 2006, a serosurvey was conducted in Guangdong Province among children aged Results A total of 1967 children aged Conclusions Guangdong Province has successfully integrated the hepatitis B vaccine into routine immunization programs and this has had a very significant impact on decreasing the HBsAg carrier rate among children.

  • spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong Province china
    BMC Infectious Diseases, 2012
    Co-Authors: Wenwu Yin, Yonghui Zhang, Archie C A Clements, Gail M Williams, Shengjie Lai, Hang Zhou, Dan Zhao, Yansha Guo, Jinfeng Wang, Weizhong Yang
    Abstract:

    Dengue fever has been a major public health concern in China since it re-emerged in Guangdong Province in 1978. This study aimed to explore spatiotemporal characteristics of dengue fever cases for both indigenous and imported cases during recent years in Guangdong Province, so as to identify high-risk areas of the Province and thereby help plan resource allocation for dengue interventions. Notifiable cases of dengue fever were collected from all 123 counties of Guangdong Province from 2005 to 2010. Descriptive temporal and spatial analysis were conducted, including plotting of seasonal distribution of cases, and creating choropleth maps of cumulative incidence by county. The space-time scan statistic was used to determine space-time clusters of dengue fever cases at the county level, and a geographical information system was used to visualize the location of the clusters. Analysis were stratified by imported and indigenous origin. 1658 dengue fever cases were recorded in Guangdong Province during the study period, including 94 imported cases and 1564 indigenous cases. Both imported and indigenous cases occurred more frequently in autumn. The areas affected by the indigenous and imported cases presented a geographically expanding trend over the study period. The results showed that the most likely cluster of imported cases (relative risk = 7.52, p < 0.001) and indigenous cases (relative risk = 153.56, p < 0.001) occurred in the Pearl River Delta Area; while a secondary cluster of indigenous cases occurred in one district of the Chao Shan Area (relative risk = 471.25, p < 0.001). This study demonstrated that the geographic range of imported and indigenous dengue fever cases has expanded over recent years, and cases were significantly clustered in two heavily urbanised areas of Guangdong Province. This provides the foundation for further investigation of risk factors and interventions in these high-risk areas.

  • chikungunya outbreak in Guangdong Province china 2010
    Emerging Infectious Diseases, 2012
    Co-Authors: Qiaoli Zhang, Yonghui Zhang, Haojie Zhong, Xiaoling Deng, Dawei Guan, Huiqiong Zhou, Xingfen Yang
    Abstract:

    A disease outbreak with dengue-like symptoms was reported in Guangdong Province, China, in October 2010. Testing results confirmed that the pathogen causing the outbreak was chikungunya virus. Phylogenic analysis indicated that this virus was a member of the Indian Ocean clade of the East/Center/South African subgroup of chikungunya virus.

  • spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong Province china
    Faculty of Health; Institute of Health and Biomedical Innovation, 2012
    Co-Authors: Wenwu Yin, Yonghui Zhang, Archie C A Clements, Gail M Williams, Shengjie Lai, Hang Zhou, Dan Zhao, Yansha Guo, Jinfeng Wang, Weizhong Yang
    Abstract:

    Background Dengue fever has been a major public health concern in China since it re-emerged in Guangdong Province in 1978. This study aimed to explore spatiotemporal characteristics of dengue fever cases for both indigenous and imported cases during recent years in Guangdong Province, so as to identify high-risk areas of the Province and thereby help plan resource allocation for dengue interventions. Methods Notifiable cases of dengue fever were collected from all 123 counties of Guangdong Province from 2005 to 2010. Descriptive temporal and spatial analysis were conducted, including plotting of seasonal distribution of cases, and creating choropleth maps of cumulative incidence by county. The space-time scan statistic was used to determine space-time clusters of dengue fever cases at the county level, and a geographical information system was used to visualize the location of the clusters. Analysis were stratified by imported and indigenous origin. Results 1658 dengue fever cases were recorded in Guangdong Province during the study period, including 94 imported cases and 1564 indigenous cases. Both imported and indigenous cases occurred more frequently in autumn. The areas affected by the indigenous and imported cases presented a geographically expanding trend over the study period. The results showed that the most likely cluster of imported cases (relative risk = 7.52, p < 0.001) and indigenous cases (relative risk = 153.56, p < 0.001) occurred in the Pearl River Delta Area; while a secondary cluster of indigenous cases occurred in one district of the Chao Shan Area (relative risk = 471.25, p < 0.001). Conclusions This study demonstrated that the geographic range of imported and indigenous dengue fever cases has expanded over recent years, and cases were significantly clustered in two heavily urbanised areas of Guangdong Province. This provides the foundation for further investigation of risk factors and interventions in these high-risk areas.

Weizhong Yang - One of the best experts on this subject based on the ideXlab platform.

  • spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong Province china
    BMC Infectious Diseases, 2012
    Co-Authors: Wenwu Yin, Yonghui Zhang, Archie C A Clements, Gail M Williams, Shengjie Lai, Hang Zhou, Dan Zhao, Yansha Guo, Jinfeng Wang, Weizhong Yang
    Abstract:

    Dengue fever has been a major public health concern in China since it re-emerged in Guangdong Province in 1978. This study aimed to explore spatiotemporal characteristics of dengue fever cases for both indigenous and imported cases during recent years in Guangdong Province, so as to identify high-risk areas of the Province and thereby help plan resource allocation for dengue interventions. Notifiable cases of dengue fever were collected from all 123 counties of Guangdong Province from 2005 to 2010. Descriptive temporal and spatial analysis were conducted, including plotting of seasonal distribution of cases, and creating choropleth maps of cumulative incidence by county. The space-time scan statistic was used to determine space-time clusters of dengue fever cases at the county level, and a geographical information system was used to visualize the location of the clusters. Analysis were stratified by imported and indigenous origin. 1658 dengue fever cases were recorded in Guangdong Province during the study period, including 94 imported cases and 1564 indigenous cases. Both imported and indigenous cases occurred more frequently in autumn. The areas affected by the indigenous and imported cases presented a geographically expanding trend over the study period. The results showed that the most likely cluster of imported cases (relative risk = 7.52, p < 0.001) and indigenous cases (relative risk = 153.56, p < 0.001) occurred in the Pearl River Delta Area; while a secondary cluster of indigenous cases occurred in one district of the Chao Shan Area (relative risk = 471.25, p < 0.001). This study demonstrated that the geographic range of imported and indigenous dengue fever cases has expanded over recent years, and cases were significantly clustered in two heavily urbanised areas of Guangdong Province. This provides the foundation for further investigation of risk factors and interventions in these high-risk areas.

  • spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong Province china
    Faculty of Health; Institute of Health and Biomedical Innovation, 2012
    Co-Authors: Wenwu Yin, Yonghui Zhang, Archie C A Clements, Gail M Williams, Shengjie Lai, Hang Zhou, Dan Zhao, Yansha Guo, Jinfeng Wang, Weizhong Yang
    Abstract:

    Background Dengue fever has been a major public health concern in China since it re-emerged in Guangdong Province in 1978. This study aimed to explore spatiotemporal characteristics of dengue fever cases for both indigenous and imported cases during recent years in Guangdong Province, so as to identify high-risk areas of the Province and thereby help plan resource allocation for dengue interventions. Methods Notifiable cases of dengue fever were collected from all 123 counties of Guangdong Province from 2005 to 2010. Descriptive temporal and spatial analysis were conducted, including plotting of seasonal distribution of cases, and creating choropleth maps of cumulative incidence by county. The space-time scan statistic was used to determine space-time clusters of dengue fever cases at the county level, and a geographical information system was used to visualize the location of the clusters. Analysis were stratified by imported and indigenous origin. Results 1658 dengue fever cases were recorded in Guangdong Province during the study period, including 94 imported cases and 1564 indigenous cases. Both imported and indigenous cases occurred more frequently in autumn. The areas affected by the indigenous and imported cases presented a geographically expanding trend over the study period. The results showed that the most likely cluster of imported cases (relative risk = 7.52, p < 0.001) and indigenous cases (relative risk = 153.56, p < 0.001) occurred in the Pearl River Delta Area; while a secondary cluster of indigenous cases occurred in one district of the Chao Shan Area (relative risk = 471.25, p < 0.001). Conclusions This study demonstrated that the geographic range of imported and indigenous dengue fever cases has expanded over recent years, and cases were significantly clustered in two heavily urbanised areas of Guangdong Province. This provides the foundation for further investigation of risk factors and interventions in these high-risk areas.

Jun Nie - One of the best experts on this subject based on the ideXlab platform.

  • spatial analysis of dengue fever in Guangdong Province china 2001 2006
    Asia-Pacific Journal of Public Health, 2014
    Co-Authors: Chunxiao Liu, Qiyong Liu, Hualiang Lin, Benqiang Xin, Jun Nie
    Abstract:

    Guangdong Province is the area most seriously affected by dengue fever in China. In this study, we describe the spatial distribution of dengue fever in Guangdong Province from 2001 to 2006 with the objective of informing priority areas for public health planning and resource allocation. Annualized incidence at a county level was calculated and mapped to show crude incidence, excess hazard, and spatial smoothed incidence. Geographic information system–based spatial scan statistics was conducted to detect the spatial distribution pattern of dengue fever incidence at the county level. Spatial scan cluster analyses suggested that counties around Guangzhou City and Chaoshan Region were at increased risk for dengue fever (P < .01). Some spatial clusters of dengue fever were found in Guangdong Province, which allowed intervention measures to be targeted for maximum effect.

Chen Li-ling - One of the best experts on this subject based on the ideXlab platform.

  • THE GREAT CHANGES OF Guangdong Province IN SIXTY YEARS
    Economic Geography, 2009
    Co-Authors: Chen Li-ling
    Abstract:

    Since the establishment of the People's Republic of China, Guangdong Province has undergone tremendous changes. With the implementation of the policy of reforming and opening up, Guangdong Province has made great achievements in foreign trade because of its geographical advantages. At the same time, the industrial structure and the agricultural structure has been optimized. The Pearl River Delta has boomed up and become one of the most important city clusters in China. As the representative of Lingnan culture, Guangdong has not only inherited it, but also improved it to a higher level. Meanwhile, Guangdong Province hasn't ignored the construction of ecological civilization. In this sixty years, Guangdong achieved a wonderful leap——from an agricultural Province to one of the most influential regional centers in China.

Wu Qi-tao - One of the best experts on this subject based on the ideXlab platform.

  • Research on Spatial Autocorrelation of Innovation Output in Guangdong Province
    Economic Geography, 2013
    Co-Authors: Wu Qi-tao
    Abstract:

    Using the methods of exploratory spatial data analysis(ESDA),this paper analyzes the spatial distribution of innovation outputs,measured by the output of new product of large and medium-sized industrial enterprises,throughout 21 prefecture-level cities in Guangdong Province from 2003 to 2010.By computing the spatial Gini coefficient and using the Moran’s I and the Moran scatter plot,we can conclude that:(1) Nearly seven years,Guangdong Province value of innovative output by city has dramatically increased,but the gap between the regional space is also very clear;(2) The trend that low concentration level of innovative outputs of Guangdong Province is relatively stable;(3) The value of Moran's I of Guangdong Province contribution from the clustering of low innovation output region,high polarization degree of the output of innovation cluster area has not yet formed,and the core of innovation output on Spatial Knowledge Spillovers has not appeared.