摘要
为了掌握河南省新型冠状肺炎病例的时空特征,为疫情防控、政府部门管理和资源调配提供科学依据.采用时空分析方法对河南省新型冠状病毒确诊病例进行研究,从时间和空间角度分析2020年1-2月全省确诊病例的分布特征,采用回归分析方法分析确诊病例和来自湖北的移动人口之间的关系.河南省疫情最为严重的地级市有信阳市、南阳市、驻马店和郑州市,疫情较轻的包括三门峡市、濮阳市、济源市和鹤壁市;河南省新冠肺炎确诊人数在一月底和二月初增长较快,2月中旬之后疫情得到有效控制;确诊人数和流动人口(来源于湖北)迁徙指数具有正相关性.研究成果为卫生健康管理部门对疫情的防控提供了参考依据,加强对疑似病例和在鄂返豫人员的监测和管理.
This study aims to identify the temporal and spatial characteristics of COVID-19 in Henan Province so as to provide scientific basis for epidemic prevention and control,government management and resource allocation.Spatial-temporal analysis and regression analysis were used to explore the spatial-temporal characteristics and the relationship between the confirmed cases and the mobile population from Hubei in Henan Province in Jan.and Feb.,2020.The most serious region of COVID-19 in Henan included Xinyang,Nanyang,Zhumadian and Zhengzhou,whereas Sanmenxia,Puyang,Jiyuan and Hebi were the least affected cities.The number of confirmed cases of COVID-19 in Henan province increased fast in late January and early February,and the epidemic situation was effectively controlled after mid-February.There is a positive correlation between the number of confirmed cases and the migration index of the floating population(from Hubei Province).It is found that the epidemic is controlled to some extent,which provides a reference for health management departments to prevent and control the epidemic situation,and strengthens the monitoring and management of suspected cases and the person leaving Hubei to Henan.
作者
胡涛
樊志伟
姚丹丹
HU Tao;FAN Zhiwei;YAO Dandan(Henan International United Laboratory of Polarized Sensing and Intelligent Signal Processing,Xuchang 461000,China;School of Information Engineering,Xuchang University,Xuchang 461000,China)
出处
《许昌学院学报》
CAS
2020年第5期24-27,共4页
Journal of Xuchang University
基金
2020年度河南省高等学校重点科研项目(202102210376)。