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Spatiotemporal distribution and trend of COVID-19 in the Yangtze River Delta region of the People’s Republic of China

机译:中华人民共和国长江三角洲地区Covid-19的时空分布与趋势

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An outbreak of atypical pneumonia, now called COVID-19 and known to be caused by the novel coronavirus SARS-CoV-2, first detected in Wuhan, Hubei Province of the People’s Republic of China in December 2019 and afterwards rapidly spread worldwide. Wuhan and the Yangtze River Delta (YRD) region implemented first-level public health emergency responses to stop the spread of the virus on January 23rd, 2020. We tracked the geographical gravity centre of the disease and calculated spatial autocorrelation to explore the spatiotemporal patterns of distribution of imported and locally disseminated COVID-19 cases under the emergency-response control measure. We also applied polynomial regression analysis to estimate the trend of the COVID-19 in the YRD region before and after the control activities against the spread of the infection were instituted. The results show that the control measures applied have been effective. And, in the YRD region, areas with a large influx of population flow from Wuhan and Hubei Province had high risks of COVID-19. Therefore, identification of the spatiotemporal trends should be the first step when developing effective policies to manage and control any new epidemic. The results are not only informative locally but also useful for the rest of the world.
机译:目前称为Covid-19的非典型肺炎爆发,已知是由新的Coronavirus SARS-COV-2引起,于2019年12月在中华人民共和国湖北省武汉检测到,之后迅速传播全球。武汉和长江三角洲(YANGTZY)地区实施了一级公共卫生应急响应,以阻止1920年1月23日的病毒传播。我们跟踪了疾病的地理重力中心,并计算了空间自相关,以探索时空模式应急响应控制措施下进口和本地传播Covid-19案件的分布。我们还申请了多项式回归分析,以估计在对抗对照活动的对照活动的差异,在对感染的传播之前和之后的YRD地区的趋势。结果表明,应用的控制措施已有效。而且,在YRD地区,来自武汉和湖北省人口流量大的地区具有高风险的Covid-19。因此,在制定有效政策以管理和控制任何新的流行病时,应该是第一步。结果不仅提供信息,而且对世界其他地方也有用。

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