Xiaoxiao Song

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The purpose of this study was to evaluate the characterization of a new cationic vector. Low generation polypropylenimine (DAB-8) was conjugated to beta-cyclodextrin (beta-CyD), and the chemical characters of the vector were investigated and confirmed by 1H NMR, FT-IR, TGA, TEM, particle size, and zeta potential assay. The biological property was identified(More)
Introduction Aberration detection methods are essential for analyzing and interpreting large quantity of nonspecific real-time data collected in syndromic surveillance system. However, the challenge lies in distinguishing true outbreak signals from a large amount of false alarm (1). The joint use of surveillance algorithms might be helpful to guide the(More)
Methods Data was obtained from the sentinel surveillance of illness like influenza (ILI) in Yunnan Center of Disease Control and Prevention from 2009 to 2013. The characteristics of the ILI clustering will be assessed by ‘Global’ and ‘Local’ Moran’s I using Monte Carlo simulation by GeoDa. The spatial weights methods based on Queencontiguity (polygons are(More)
Introduction Absenteeism has been considered as a potential indicator for the early detection of infectious disease outbreaks in population, especially in primary schools. However, in practice this data are often characterized by an excess of zeros and spatial heterogeneity. In a project on integrated syndromic surveillance system (ISSC) in rural China(1),(More)
1Dept. of Epidemiology, School of Public Health, Fudan University, Shanghai, China; 2Jiangxi Provincial Center for Disease Prevention and Control, Nanchang, China; 3Future Position X, Gavle, Sweden; 4School of Public Health, Tongji Medical College of Hazhong University of Science and Technology, Hubei, China; 5Division of Global Health (IHCAR), Department(More)
Methods Data for this study was obtained from the web-based data of ISSC in 62 primary schools in two counties of Jiangxi province, China from April 1th, 2012 to June 30st, 2012. The ZIMM was used to explore: 1)the temporal and spatial variability regarding occurrence and intensity of absenteeism simultaneously, and 2) the heterogeneity among the reporting(More)
Introduction The early detection of outbreaks of diseases is one of the most challenging objectives of epidemiological surveillance systems. In order to achieve this goal, the primary foundation is using those big surveillance data for understanding and controlling the spatiotemporal variability of disease through populations. Typically, public health’s(More)
Photodegradation of SF(6) was performed on the surface of polyisoprene (PI) based on a brand new mechanism of "controlled release of radicals". Effective decomposition of SF(6) (60% of SF(6) was degraded in 4h) was achieved due to the highly reductive radicals (mainly allylic radicals and excited CC bond) which were generated from the photolysis of PI. No(More)
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