Selected article for: "local spatial autocorrelation and spatial autocorrelation"

Author: Mao, Ying; Zhang, Ning; Zhu, Bin; Liu, Jinlin; He, Rongxin
Title: A descriptive analysis of the Spatio-temporal distribution of intestinal infectious diseases in China
  • Document date: 2019_9_2
  • ID: 05u4t67u_34
    Snippet: Global spatial autocorrelation Table 2 shows the results from the global spatial autocorrelation analysis and significance test. In terms of the significance, all Moran's I values for dysentery and Hepatitis E reached the significance threshold, while of the values for OIDD, TAP, and Hepatitis A achieved results, with one insignificant index each. HFMD had five significant indexes. In the global spatial autocorrelation analysis, Moran's I for HFM.....
    Document: Global spatial autocorrelation Table 2 shows the results from the global spatial autocorrelation analysis and significance test. In terms of the significance, all Moran's I values for dysentery and Hepatitis E reached the significance threshold, while of the values for OIDD, TAP, and Hepatitis A achieved results, with one insignificant index each. HFMD had five significant indexes. In the global spatial autocorrelation analysis, Moran's I for HFMD ranged from 0.0039 to 0.3812 throughout the 11 years without an obvious increasing or decreasing trend, suggesting that the disease Local spatial autocorrelation analysis Beijing and Shanghai were the areas with the highest incidence rates, while the areas with the lowest rates included Xizang, Qinghai, Yunnan, and Guangxi, among others. Figure 3 displays the spatial clusters of all IIDs, reflecting the regional variation from 2006 to 2016. The hot spot for HFMD is located in Guangdong, while cold spots were detected in some areas of the central and west provinces, such as Sichuan, Chongqing, Hubei, Guizhou, and Jiangxi. In 2016, the hot spots shifted to adjacent provinces, Guizhou and Jiangxi; new cold spots shifted to areas in the north province, such as Gansu, Jilin, Xinjiang, and Inner Mongolia.

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