Geographically weighted regression model for physical, social, and economic factors affecting the COVID-19 pandemic spreading.

Geographically weighted regression model for physical, social, and economic factors affecting the COVID-19 pandemic spreading.
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影响新冠肺炎疫情传播的物理、社会和经济因素的地理加权回归模型。

DOI:
10.1007/s11356-022-18564-w
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发表时间:
2022-07
期刊:
Environmental science and pollution research international
影响因子:
--
通讯作者:
Al-Ansari N
Al-Ansari N
中科院分区:
其他
文献类型:
--
作者:
Jasim IA;Fileeh MK;Ebrahhem MA;Al-Maliki LA;Al-Mamoori SK;Al-Ansari N

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本研究旨在分析流行病传播的空间分布以及物理、社会和经济特征在传播中的作用。在地理信息系统环境中,使用伊拉克卫生部2020年3月至12月10个月监测的感染数据建立了地理加权回归(GWR)模型。该模型中采用的因素是城市互动区域和人群聚集的规模、流动水平和可达性以及吸引人们的公共服务和设施的数量。结果表明,可以根据每个行政单位的情况,根据其中出现的因素,按比例处理每个行政单位,因此,不会对具有不同城市特点的所有地区采取单一的处理办法,这有时有助于不因全面禁止行动和活动而停止社会和经济生活。因此,除了禁令之外,还会有其他支持性政策,这取决于每个地区的城市指标,例如减少来自该地区的外部流动或仅依靠阻止公共活动。
This study aims to analyze the spatial distribution of the epidemic spread and the role of the physical, social, and economic characteristics in this spreading. A geographically weighted regression (GWR) model was built within a GIS environment using infection data monitored by the Iraqi Ministry of Health records for 10 months from March to December 2020. The factors adopted in this model are the size of urban interaction areas and human gatherings, movement level and accessibility, and the volume of public services and facilities that attract people. The results show that it would be possible to deal with each administrative unit in proportion to its circumstances in light of the factors that appear in it. So, there will not be a single treatment for all areas with different urban characteristics, which sometimes helps not to stop social and economic life due to the imposition of a comprehensive ban on movement and activities. Therefore, there will be other supportive policies other than the ban, depending on the urban indicators for each region, such as reducing external movement from it or relying on preventing public activities only.
DOI: 10.1111/rsp3.12340
发表时间: 2020-09-23
影响因子: 1.7
作者:
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通讯作者: Kapitsinis, NikRE
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影响因子: 5.1
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发表时间: 2020-08
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影响因子: --
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通讯作者: Bostwick W
DOI: 10.1007/s11356-020-11188-y
发表时间: 2021-08
期刊: Environmental science and pollution research international
影响因子: --
作者:
El Aferni A;Guettari M;Tajouri T
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