Showing 1 - 6 results of 6 for search '"population density"', query time: 0.07s Refine Results
  1. 1

    Climate and socio-economic factors drive the spatio-temporal dynamics of HFRS in Northeastern China by Yanding Wang, Xianyu Wei, Xuyang Xiao, Wenwu Yin, Junyu He, Zhoupeng Ren, Zhiqiang Li, Meitao Yang, Shilu Tong, Yuming Guo, Wenyi Zhang, Yong Wang

    Published 2022-12-01
    “…The spatial variations of HFRS were medicated by the climate (CR = 16.95%) and population density (CR = 9.45%) and medical health care (CR = 2.25%). …”
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  2. 2

    Spatiotemporal dynamics and environmental determinants of scrub typhus in Anhui Province, China, 2010–2020 by Xianyu Wei, Junyu He, Wenwu Yin, Ricardo J. Soares Magalhaes, Yanding Wang, Yuanyong Xu, Liang Wen, Yehuan Sun, Wenyi Zhang, Hailong Sun

    Published 2023-02-01
    “…Scrub typhus incidence in Anhui Province was positively correlated with the population density, normalized difference vegetation index, and several meteorological variables. …”
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  3. 3

    Non-pharmaceutical interventions for COVID-19 reduced the incidence of infectious diseases: a controlled interrupted time-series study by Wenyi Zhang, Yao Wu, Bo Wen, Yongming Zhang, Yong Wang, Wenwu Yin, Shanhua Sun, Xianyu Wei, Hailong Sun, Zhijie Zhang, Shanshan Li, Yuming Guo

    Published 2023-03-01
    “…Socioeconomic status and population density were effect modifiers. Conclusions NPIs for COVID-19 could effectively control the prevalence of infectious diseases, with patterns of risk varying by socioeconomic status. …”
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  4. 4

    Using ecological niche modeling to predict the potential distribution of scrub typhus in Fujian Province, China by Xuan Li, Xianyu Wei, Wenwu Yin, Ricardo J. Soares Magalhaes, Yuanyong Xu, Liang Wen, Hong Peng, Quan Qian, Hailong Sun, Wenyi Zhang

    Published 2023-01-01
    “…The best predictive variables for scrub typhus occurrence were population density, annual mean normalized difference vegetation index, and land cover types. …”
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  5. 5

    The role of environmental factors in the spatial distribution of Japanese encephalitis in mainland China by Liya Wang, Wenbiao Hu, Ricardo J. Soares Magalhaes, Peng Bi, Fan Ding, Hailong Sun, Shenlong Li, Wenwu Yin, Lan Wei, Qiyong Liu, Ubydul Haque, Yansong Sun, Liuyu Huang, Shilu Tong, Archie C.A. Clements, Wenyi Zhang, Chengyi Li

    Published 2014-12-01
    “…Resulting maps showed JE being presented extensively throughout southwestern and central China, with local spatial variations in probability influenced by minimum temperatures, human population density, mean temperatures, and elevation, with contribution of 17.94%–38.37%, 15.47%–21.82%, 3.86%–21.22%, and 12.05%–16.02%, respectively. …”
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  6. 6

    Spatiotemporal epidemiology and risk factors of scrub typhus in Hainan Province, China, 2011–2020 by Lisha Liu, Yang Xiao, Xianyu Wei, Xuan Li, Chunyuan Duan, Xinjing Jia, Ruizhong Jia, Jinpeng Guo, Yong Chen, Xiushan Zhang, Wenyi Zhang, Yong Wang

    Published 2023-12-01
    “…Jackknife tests revealed that ground surface temperature, elevation, cumulative precipitation, evaporation, land cover, population density, and ratio of dependents were the most significant environmental factors. …”
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