Geographical variations of risk factors associated with HCV infection in drug users in southwestern China
Geographical variations of risk factors associated with HCV infection in drug users in southwestern China
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DOI：
10.1017/s0950268815002666
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发表时间：
2016-04-01
影响因子：
4.2
通讯作者：
Jiang, Q. W.
中科院分区：
文献类型：
--
作者：
Zhou, Y. B.;Wang, Q. X.;Jiang, Q. W.
丙型肝炎病毒（HCV）已成为全球公共卫生问题。已经进行了许多研究来确定 HCV 感染的危险因素。然而，其中一些研究报告的结果不一致。使用从 11 个美沙酮诊所收集的数据，我们拟合非空间逻辑回归和地理加权逻辑回归来分析 HCV 感染与个体水平上的某些因素之间的关联。这项研究纳入了 5401 名 HCV 感染率为 300% 的患者。非空间Logistic回归发现注射史、戒毒史、高中及以上文化程度与HCV感染相关；已婚与 HCV 感染呈负相关。利用空间模型，我们发现620%的乡镇彝族与HCV感染呈负相关，810%的乡镇已婚与HCV感染呈负相关。彝族自治州552%的乡镇高中及以上文化程度与HCV感染呈正相关。空间模型可以更好地了解与 HCV 感染相关的危险因素的地理变化。地理差异可能有助于为当地定制干预策略，以便更有效地分配有限的资源来控制丙型肝炎病毒的传播。
Hepatitis C virus (HCV) has become a global public health problem. Many studies have been conducted to identify risk factors for HCV infection. However, some of these studies reported inconsistent results. Using data collected from 11 methadone clinics, we fit both a non-spatial logistical regression and a geographically weighted logistic regression to analyse the association between HCV infection and some factors at the individual level. This study enrolled 5401 patients with 300% HCV infection prevalence. The non-spatial logistical regression found that injection history, drug rehabilitation history and senior high-school education or above were related to HCV infection; and being married was negatively associated with HCV infection. Using the spatial model, we found that Yi ethnicity was negatively related to HCV infection in 620% of townships, and being married was negatively associated with HCV infection in 810% of townships. Senior high-school education or above was positively associated with HCV infection in 552% of townships of the Yi Autonomous Prefecture. The spatial model offers better understanding of the geographical variations of the risk factors associated with HCV infection. The geographical variations may be useful for customizing intervention strategies for local regions for more efficient allocation of limited resources to control transmission of HCV.