Intracity Pandemic Risk Evaluation Using Mobile Phone Data: The Case of Shanghai during COVID-19

被引:19
|
作者
Gan, Tian [1 ]
Li, Weifeng [2 ]
He, Linghui [2 ]
Li, Jian [2 ]
机构
[1] Tongji Univ, Transportat Res Inst, 4800 Caoan Rd, Shanghai 201804, Peoples R China
[2] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai 201804, Peoples R China
基金
国家重点研发计划;
关键词
human mobility; risk assessment; COVID-19; spatial-temporal analysis; pandemic; OUTBREAK; NETWORK; EPIDEMICS; TREND; CHINA; IRAN;
D O I
10.3390/ijgi9120715
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The coronavirus disease 2019 (COVID-19) pandemic has provided an opportunity to rethink the development of a sustainable and resilient city. A framework for comprehensive intracity pandemic risk evaluation using mobile phone data is proposed in this study. Four steps were included in the framework: identification of high-risk groups, calculation of dynamic population flow and construction of a human mobility network, exposure and transmission risk assessment, and pandemic prevention guidelines. First, high-risk groups were extracted from mobile phone data based on multi-day activity chains. Second, daily human mobility networks were created by aggregating population and origin-destination (OD) flows. Third, clustering analysis, time series analysis, and network analysis were employed to evaluate pandemic risk. Finally, several solutions are proposed to control the pandemic. The outbreak period of COVID-19 in Shanghai was used to verify the proposed framework and methodology. The results show that the evaluation method is able to reflect the different spatiotemporal patterns of pandemic risk. The proposed framework and methodology may help prevent future public health emergencies and localized epidemics from evolving into global pandemics.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Evaluation of Mobile Phone Healthcare Applications During the Covid-19 Pandemic
    Saeidnia, Hamid Reza
    Mohammadzadeh, Zahra
    Hassanzadeh, Mohammad
    [J]. PUBLIC HEALTH AND INFORMATICS, PROCEEDINGS OF MIE 2021, 2021, 281 : 1100 - 1101
  • [2] Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 Pandemic
    Heiler, Georg
    Reisch, Tobias
    Hurt, Jan
    Forghani, Mohammad
    Omani, Aida
    Hanbury, Allan
    Karimipour, Farid
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, : 3123 - 3132
  • [3] VISUAL ANALYTICS OF MOBILITY NETWORK CHANGES OBSERVED USING MOBILE PHONE DATA DURING COVID-19 PANDEMIC
    Forghani, Mohammad
    Claramunt, Christophe
    Karimipour, Farid
    Heiler, Georg
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW, 2022, : 1181 - 1188
  • [4] Varieties of Mobility Measures: Comparing Survey and Mobile Phone Data during the COVID-19 Pandemic
    Kalleitner, Fabian
    Schiestl, David W.
    Heiler, Georg
    [J]. PUBLIC OPINION QUARTERLY, 2022, 86 (04) : 913 - 931
  • [5] Problematic Mobile Phone Use and Life Satisfaction Among University Students During the COVID-19 Pandemic in Shanghai, China
    Jiang, Wenning
    Luo, Jin
    Guan, Hannan
    Jiang, Feng
    Tang, Yi-Lang
    [J]. FRONTIERS IN PUBLIC HEALTH, 2022, 9
  • [6] The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
    Grantz, Kyra H.
    Meredith, Hannah R.
    Cummings, Derek A. T.
    Metcalf, C. Jessica E.
    Grenfell, Bryan T.
    Giles, John R.
    Mehta, Shruti
    Solomon, Sunil
    Labrique, Alain
    Kishore, Nishant
    Buckee, Caroline O.
    Wesolowski, Amy
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [7] The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
    Kyra H. Grantz
    Hannah R. Meredith
    Derek A. T. Cummings
    C. Jessica E. Metcalf
    Bryan T. Grenfell
    John R. Giles
    Shruti Mehta
    Sunil Solomon
    Alain Labrique
    Nishant Kishore
    Caroline O. Buckee
    Amy Wesolowski
    [J]. Nature Communications, 11
  • [8] The city turned off: Urban dynamics during the COVID-19 pandemic based on mobile phone data
    Romanillos, Gustavo
    Carlos Garcia-Palomares, Juan
    Moya-Gomez, Borja
    Gutierrez, Javier
    Torres, Javier
    Lopez, Mario
    Cantu-Ros, Oliva G.
    Herranz, Ricardo
    [J]. APPLIED GEOGRAPHY, 2021, 134
  • [9] On-site Dining in Tokyo During the COVID-19 Pandemic: Time Series Analysis Using Mobile Phone Location Data
    Nakanishi, Miharu
    Shibasaki, Ryosuke
    Yamasaki, Syudo
    Miyazawa, Satoshi
    Usami, Satoshi
    Nishiura, Hiroshi
    Nishida, Atsushi
    [J]. JMIR MHEALTH AND UHEALTH, 2021, 9 (05):
  • [10] The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China
    Li, Teng
    Barwick, Panle Jia
    Deng, Yongheng
    Huang, Xinfei
    Li, Shanjun
    [J]. JOURNAL OF URBAN ECONOMICS, 2023, 135