Influence of urbanization on schistosomiasis infection risk in Anhui Province based on sixteen year's longitudinal surveillance data: a spatio-temporal modelling study.
Influence of urbanization on schistosomiasis infection risk in Anhui Province based on sixteen year's longitudinal surveillance data: a spatio-temporal modelling study.
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DOI：
10.1186/s40249-023-01163-3
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发表时间：
2023-11-29
影响因子：
8.1
通讯作者：
中科院分区：
文献类型：
--
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城市化极大地影响了人类生存的自然和社会环境，并可能对寄生虫病产生多方面的影响。血吸虫病是由钉螺传播的常见寄生虫病，主要分布在有钉螺生活的沿着湖泊人口聚集的地区。以往的研究表明，与城市化有关的因素可能会影响血吸虫病的感染风险，但这种关联仍然不清楚。本研究旨在从时空角度分析中国沿着长江流域血吸虫病流行区城市化对血吸虫病感染风险的影响。收集安徽省县级血吸虫病监测资料和自然环境因素资料。城市化水平的特点是夜间光数据的基础上，从国防气象卫星计划业务线扫描系统（DMSP-OLS）和国家极轨伙伴关系的可见光红外成像辐射计套件（NPP-VIIRS）。在控制其他潜在危险因素的情况下，采用地理时间加权回归模型（GTWR）定量分析城市化对血吸虫病感染风险的影响。对城市化的回归系数进行显著性检验（α = 0.05），并根据显著性回归系数分析城市化对血吸虫病感染风险的时间和空间影响。研究的变量包括气候、土壤、植被、水文和地形。城市化的平均回归系数（0.167）仅次于淋溶土壤面积（0.300），说明城市化是除淋溶土壤面积外影响血吸虫病感染风险的最重要因素。其他重要变量是到最近水源的距离（0.165）、平均最低温度（0.130）、阔叶林面积（0.105）、降水量（0.073）、地表温度（0.066）、土壤容重（0.037）和草地面积（0.031）。城市化对血吸虫病感染风险的影响呈逐年下降趋势。在研究期间，城市化水平的显著系数从-0.205上升到-0.131。城市化对血吸虫病感染的影响具有时空异质性。城市化确实在一定程度上降低了血吸虫病感染的风险，但这种影响的强度随着城市化程度的提高而降低。此外，城市化对血吸虫病感染风险的影响大于以往报道的自然环境因素。本研究为理解城市化对血吸虫病的影响提供了科学依据，也为其他类似研究回答城市化对疾病风险影响的问题提供了可行的研究方法。在线版本包含补充材料，可通过10.1186/s40249-023-01163-3获得。
Urbanization greatly affects the natural and social environment of human existence and may have a multifactoral impact on parasitic diseases. Schistosomiasis, a common parasitic disease transmitted by the snail Oncomelania hupensis, is mainly found in areas with population aggregations along rivers and lakes where snails live. Previous studies have suggested that factors related to urbanization may influence the infection risk of schistosomiasis, but this association remains unclear. This study aimed to analyse the effect of urbanization on schistosomiasis infection risk from a spatial and temporal perspective in the endemic areas along the Yangtze River Basin in China. County-level schistosomiasis surveillance data and natural environmental factor data covering the whole Anhui Province were collected. The urbanization level was characterized based on night-time light data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) and the National Polar-Orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The geographically and temporally weighted regression model (GTWR) was used to quantify the influence of urbanization on schistosomiasis infection risk with the other potential risk factors controlled. The regression coefficient of urbanization was tested for significance (α = 0.05), and the influence of urbanization on schistosomiasis infection risk was analysed over time and across space based on significant regression coefficients. Variables studied included climate, soil, vegetation, hydrology and topography. The mean regression coefficient for urbanization (0.167) is second only to the leached soil area (0.300), which shows that the urbanization is the most important influence factors for schistosomiasis infection risk besides leached soil area. The other important variables are distance to the nearest water source (0.165), mean minimum temperature (0.130), broadleaf forest area (0.105), amount of precipitation (0.073), surface temperature (0.066), soil bulk density (0.037) and grassland area (0.031). The influence of urbanization on schistosomiasis infection risk showed a decreasing trend year by year. During the study period, the significant coefficient of urbanization level increased from − 0.205 to − 0.131. The influence of urbanization on schistosomiasis infection has spatio-temporal heterogeneous. The urbanization does reduce the risk of schistosomiasis infection to some extend, but the strength of this influence decreases with increasing urbanization. Additionally, the effect of urbanization on schistosomiasis infection risk was greater than previous reported natural environmental factors. This study provides scientific basis for understanding the influence of urbanization on schistosomiasis, and also provides the feasible research methods for other similar studies to answer the issue about the impact of urbanization on disease risk. The online version contains supplementary material available at 10.1186/s40249-023-01163-3.
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影响因子：
3.8
作者：
Hu Y;Li R;Chen Y;Gao F;Wang Q;Zhang S;Zhang Z;Jiang Q
通讯作者：
Jiang Q
中国安徽省日本血吸虫病的时空传播和环境决定因素。
影响因子：
3.8
作者：
Hu Y;Li R;Bergquist R;Lynn H;Gao F;Wang Q;Zhang S;Sun L;Zhang Z;Jiang Q
通讯作者：
Jiang Q
影响因子：
8.1
作者：
Liu MM;Feng Y;Yang K
通讯作者：
Yang K
DOI：
10.16250/j.32.1374.2018236
发表时间：
2018-10-22
期刊：
Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
影响因子：
--
作者：
Ben-Jiao, Hu;Hong-Ling, Xie;Guang-Hui, Ren
通讯作者：
Guang-Hui, Ren
影响因子：
2.7
作者：
Chen, Cheng;Guo, Qinghong;Hong, Yang
通讯作者：
Hong, Yang