Publications by authors named "Ge-xin Xiao"
Interest in assessing the effects of temperature on hand, foot, and mouth disease (HFMD) has increased. However, little evidence is available on spatial heterogeneity in relationship to temperature and HFMD in metropolitan (capital city and municipal districts) and other areas where economic levels are significantly different. In this study, the Bayesian space-time hierarchy model was applied to identify the spatiotemporal heterogeneity of HFMD.
View Article and Find Full Text PDFLiver cancer is a common and leading cause of cancer death in China. We used the cancer registry data collected from 2009 to 2011 to describe the spatial distribution of liver cancer incidence at village level in Shengqiu county, Henan province, China. Spatial autocorrelation analysis was employed to detect significant differences from a random spatial distribution of liver cancer incidence.
View Article and Find Full Text PDFArticle Synopsis
- - The study aimed to analyze patterns of hand, foot, and mouth disease (HFMD) incidence in China during declining periods from 2008 to 2010, using data from the National Disease Reporting System (NDRS).
- - A total of over 3.58 million HFMD cases were reported in children under 5 years, with a notable increase in incidence rates observed in 2010 compared to earlier years, particularly in males (63.4%).
- - The findings suggest that changes in HFMD incidence rates during 2009 and 2010 could be linked to improved interventions, with a marked decline in 2010; the study calls for further research to confirm these results.
[Spatial clustering and changing trend of hand-foot-mouth disease during 2008-2011 in China].
Zhonghua Liu Xing Bing Xue Za Zhi
August 2012
Article Synopsis
- The study aimed to investigate the spatial clustering and trends of hand-foot-mouth disease (HFMD) in China from 2008 to 2011, particularly identifying specific areas impacted by the disease.
- Using exploratory spatial data analysis, researchers found moderate to high clustering of HFMD, with significant statistical results showing consistent clustering patterns over the years.
- Key hot spot areas were identified in major cities such as Beijing, Tianjin, and Shanghai, indicating a north-south shifting trend in clustering, suggesting the need for further research to understand these changes better.