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Spatio-temporal Behavior Dataset of Daily Life Statistics of Discharged COVID-19 Patients in Early 2020


CHEN Jie1ZHOU Yingfei1,2YIN Ling*3LI Ye3MIAO Fen3PEI Tao1LIU Kang3REN Qianru2,3LI Xuan2,3ZHANG Hao2,3LI Ziyin2,3XI Guikai2,3
1 Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China2 University of Chinese Academy of Sciences,Beijing 100049,China3 Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China

DOI:10.3974/geodb.2023.04.01.V1

Published:Apr. 2023

Visitors:2421       Data Files Downloaded:53      
Data Downloaded:3.86 MB      Citations:

Key Words:

COVID-19,patient,daily life,spatio-temporal behavior,Wuhan

Abstract:

Taking Wuhan City as an example, the authors conducted a spatio-temporal behavior survey combining paper questionnaires and telephone interviews for discharged patients infected with COVID-19 in early 2020. The survey was from July to September 2020. A total of 128 effective samples were selected from the patients who were diagnosed and discharged from Wuhan Jinyintan Hospital during the outbreak period from January to March 2020, including 47 males and 81 females, aged 21 to 70. Then, the spatio-temporal behavior dataset of daily life statistics of discharged COVID-19 patients in early 2020 was obtained. The dataset includes: (1) Time rhythm of daily activities of male and female patients in different life periods; (2) attribute of patient samples; (3) statistics of patients' daily activity time allocation; (4) daily travel distance of the sample patients; (5) changes in the proportion of patients' daily activities and travel modes; (6) spatio-temporal behavior change patterns of patients. The dataset is archived in.xlsx format, and consists of two data files with data size of 192 KB (Compressed into one file with 75 KB). The analysis paper based on this dataset will be coordinated to be published at Acta Geographica Sinica, Vol 78, No 4, 2023.

Foundation Item:

National Natural Science Foundation of China (42271475); Chinese Academy of Sciences (XDB38060100)

Data Citation:

CHEN Jie, ZHOU Yingfei, YIN Ling*, LI Ye, MIAO Fen, PEI Tao, LIU Kang, REN Qianru, LI Xuan, ZHANG Hao, LI Ziyin, XI Guikai. Spatio-temporal Behavior Dataset of Daily Life Statistics of Discharged COVID-19 Patients in Early 2020[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.04.01.V1.

References:

[1] Reginald, G. G., Robert, J., et al. Spatial Behavior: A Geographic Perspective [M]. Chai, Y. W., Cao, X. S., Long, T., trans. Beijing: The Commercial Press, 2013.
     [2]Chai, Y. W., Chen, Z. F., Ta, N., et al. Urban Spatial and Temporal Behavior Survey Methods [M]. Nanjing: Southeast University Press, 2020.
     

Data Product:

ID Data Name Data Size Operation
1 COVID-19PatientsBehavior2020.rar 74.55KB
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