城市化对安徽省血吸虫病感染风险的影响——基于16年纵向监测数据的时空模型研究

IF 8.1 1区 医学 Infectious Diseases of Poverty Pub Date : 2023-11-29 DOI:10.1186/s40249-023-01163-3
Xin Liu, Yang Sun, Yun Yin, Xiaofeng Dai, Robert Bergquist, Fenghua Gao, Rui Liu, Jie Liu, Fuju Wang, Xiao Lv, Zhijie Zhang
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引用次数: 0

摘要

背景: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因素影响。血吸虫病是一种由钉螺传播的常见寄生虫病,主要发生在钉螺聚居的河流和湖泊沿岸地区。以往的研究表明,城市化相关因素可能影响血吸虫病的感染风险,但这种关联尚不清楚。本研究旨在从时空角度分析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。方法:收集安徽省县级血吸虫病监测资料和自然环境因子资料。城市化水平的特征是基于来自国防气象卫星计划操作线性扫描系统(DMSP-OLS)和国家极轨道伙伴关系的可见红外成像辐射计套件(NPP-VIIRS)的夜间灯光数据。采用地理和时间加权回归模型(GTWR)量化城市化对血吸虫病感染风险的影响,同时控制其他潜在危险因素。对城市化回归系数进行显著性检验(α = 0.05),并基于显著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。结果:城市化的平均回归系数(0.167)仅次于淋滤土面积(0.300),表明城市化是除淋滤土面积外最重要的血吸虫感染风险影响因素。其他重要变量为离最近水源的距离(0.165)、平均最低气温(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。研究期间,城市化水平显著系数由- 0.205上升至- 0.131。结论: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的增加而减弱。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。本研究为了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的影响问题提供了可行的研究方法。
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Influence of urbanization on schistosomiasis infection risk in Anhui Province based on sixteen year's longitudinal surveillance data: a spatio-temporal modelling study.

Background: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty INFECTIOUS DISEASES-
自引率
1.20%
发文量
368
期刊介绍: Infectious Diseases of Poverty is an open access, peer-reviewed journal that focuses on addressing essential public health questions related to infectious diseases of poverty. The journal covers a wide range of topics including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies and application. It also considers the transdisciplinary or multisectoral effects on health systems, ecohealth, environmental management, and innovative technology. The journal aims to identify and assess research and information gaps that hinder progress towards new interventions for public health problems in the developing world. Additionally, it provides a platform for discussing these issues to advance research and evidence building for improved public health interventions in poor settings.
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