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基于手机数据估计西班牙在 COVID-19 大流行不同阶段的流动性和人口情况。

Estimation of mobility and population in Spain during different phases of the COVID-19 pandemic from mobile phone data.

机构信息

Department of Human Geography, University of Sevilla, 41004, Seville, Spain.

Consejo Superior de Investigaciones Científicas, Centro de Ciencias Humanas y Sociales (CCHS-CSIC), 28037, Madrid, Spain.

出版信息

Sci Rep. 2023 Jun 2;13(1):8962. doi: 10.1038/s41598-023-36108-1.

Abstract

This work aims to find out the effectiveness of sources based on Big Data like mobile phone records to analyze mobility flows and changes in the population of Spain in different scenarios during the period of the pandemic caused by the COVID-19 virus. To this end, we have used mobile phone data provided by the National Institute of Statistics from four days corresponding to different phases of the pandemic. Origin-Destination matrices and population estimation calculations at the spatial level of population cells have been elaborated. The results show different patterns that correspond to the phenomena that have occurred, as the decrease of the population during the periods associated with the confinement measures. The consistency of findings with the reality and the generally good correlation with the population census data indicate that mobile phone records are a useful source of data for the elaboration of demographic and mobility studies during pandemics.

摘要

这项工作旨在研究基于大数据(如手机记录)的来源在 COVID-19 病毒大流行期间不同情况下分析西班牙人口流动和变化的有效性。为此,我们使用了国家统计局提供的四天手机数据,这些数据对应于大流行的不同阶段。我们详细阐述了人口细胞空间水平的起源-目的地矩阵和人口估计计算。结果显示出不同的模式,这些模式与在与禁闭措施相关的时期人口减少等现象相对应。研究结果与现实的一致性以及与人口普查数据的普遍良好相关性表明,手机记录是在大流行期间进行人口和流动研究的有用数据来源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8a7/10238542/7c9797abaa4a/41598_2023_36108_Fig1_HTML.jpg

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