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Spatial pattern of severe acute respiratory syndrome in-out flow in 2003 in Mainland China

机译:2003年中国大陆严重急性呼吸系统综合症流入流出的空间格局

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Background Severe acute respiratory syndrome (SARS) spread to 32 countries and regions within a few months in 2003. There were 5327 SARS cases from November 2002 to May 2003 in Mainland China, which involved 29 provinces, resulted in 349 deaths, and directly caused economic losses of $18.3 billion. Methods This study used an in-out flow model and flow mapping to visualize and explore the spatial pattern of SARS transmission in different regions. In-out flow is measured by the in-out degree and clustering coefficient of SARS. Flow mapping is an exploratory method of spatial visualization for interaction data. Results The findings were as follows. (1) SARS in-out flow had a clear hierarchy. It formed two main centers, Guangdong in South China and Beijing in North China, and two secondary centers, Shanxi and Inner Mongolia, both connected to Beijing. (2) “Spring Festival travel” strengthened external flow, but “SARS panic effect” played a more significant role and pushed the external flow to the peak. (3) External flow and its three typical kinds showed obvious spatial heterogeneity, such as self-spreading flow (spatial displacement of SARS cases only within the province or municipality of onset and medical locations); hospitalized flow (spatial displacement of SARS cases that had been seen by a hospital doctor); and migrant flow (spatial displacement of SARS cases among migrant workers). (4) Internal and external flow tended to occur in younger groups, and occupational differentiation was particularly evident. Low-income groups of male migrants aged 19–35 years were the main routes of external flow. Conclusions During 2002–2003, SARS in-out flow played an important role in countrywide transmission of the disease in Mainland China. The flow had obvious spatial heterogeneity, which was influenced by migrants’ behavior characteristics. In addition, the Chinese holiday effect led to irregular spread of SARS, but the panic effect was more apparent in the middle and late stages of the epidemic. These findings constitute valuable input to prevent and control future serious infectious diseases like SARS.
机译:背景资料严重急性呼吸系统综合症(SARS)于2003年在短短几个月内蔓延到32个国家和地区。2002年11月至2003年5月,中国大陆共有5327例SARS病例,涉及29个省,造成349人死亡,直接造成了经济损失。亏损183亿美元。方法本研究使用进出流模型和流图来可视化和探索不同地区SARS传播的空间格局。进出流量由SARS的进出程度和聚类系数来衡量。流映射是一种用于交互数据的空间可视化的探索性方法。结果发现如下。 (1)SARS进出流程具有清晰的层次结构。它形成了两个主要中心,华南的广东和华北的北京,以及两个次要中心,山西和内蒙古,都与北京相连。 (2)“春节旅行”加强了人流,但“非典恐慌效应”发挥了更大的作用,使人流达到顶峰。 (3)外部流及其三种典型的类型表现出明显的空间异质性,例如自扩散流(SARS病例的空间位移仅发生在发病或就诊地点的省或市内);住院流量(医院医生发现的SARS病例的空间移位);和移民流动(SARS病例在移民工人中的空间转移)。 (4)年轻人的内部和外部流动趋于发生,职业分化尤为明显。 19-35岁的低收入男性移民是外来移民的主要途径。结论在2002年至2003年期间,SARS的外来流入在该疾病在中国大陆的全国传播中发挥了重要作用。流动具有明显的空间异质性,受移民行为特征的影响。此外,中国的休假效应导致SARS的不规则扩散,但恐慌效应在流行的中后期更为明显。这些发现构成了预防和控制未来严重传染病(例如SARS)的宝贵投入。

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