Literature DB >> 34158531

Mobility-based real-time economic monitoring amid the COVID-19 pandemic.

Alessandro Spelta1, Paolo Pagnottoni2.   

Abstract

Mobility restrictions have been identified as key non-pharmaceutical interventions to limit the spread of the SARS-COV-2 epidemics. However, these interventions present significant drawbacks to the social fabric and negative outcomes for the real economy. In this paper we propose a real-time monitoring framework for tracking the economic consequences of various forms of mobility reductions involving European countries. We adopt a granular representation of mobility patterns during both the first and second waves of SARS-COV-2 in Italy, Germany, France and Spain to provide an analytical characterization of the rate of losses of industrial production by means of a nowcasting methodology. Our approach exploits the information encoded in massive datasets of human mobility provided by Facebook and Google, which are published at higher frequencies than the target economic variables, in order to obtain an early estimate before the official data becomes available. Our results show, in first place, the ability of mobility-related policies to induce a contraction of mobility patterns across jurisdictions. Besides this contraction, we observe a substitution effect which increases mobility within jurisdictions. Secondly, we show how industrial production strictly follows the dynamics of population commuting patterns and of human mobility trends, which thus provide information on the day-by-day variations in countries' economic activities. Our work, besides shedding light on how policy interventions targeted to induce a mobility contraction impact the real economy, constitutes a practical toolbox for helping governments to design appropriate and balanced policy actions aimed at containing the SARS-COV-2 spread, while mitigating the detrimental effect on the economy. Our study reveals how complex mobility patterns can have unequal consequences to economic losses across countries and call for a more tailored implementation of restrictions to balance the containment of contagion with the need to sustain economic activities.

Entities:  

Year:  2021        PMID: 34158531     DOI: 10.1038/s41598-021-92134-x

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  16 in total

1.  Reply to: The effect of interventions on COVID-19.

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Journal:  Nature       Date:  2020-12       Impact factor: 49.962

2.  Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19.

Authors:  Alberto Aleta; David Martín-Corral; Ana Pastore Y Piontti; Marco Ajelli; Maria Litvinova; Matteo Chinazzi; Natalie E Dean; M Elizabeth Halloran; Ira M Longini; Stefano Merler; Alex Pentland; Alessandro Vespignani; Esteban Moro; Yamir Moreno
Journal:  Nat Hum Behav       Date:  2020-08-05

3.  Neighbourhood income and physical distancing during the COVID-19 pandemic in the United States.

Authors:  Jonathan Jay; Jacob Bor; Elaine O Nsoesie; Sarah K Lipson; David K Jones; Sandro Galea; Julia Raifman
Journal:  Nat Hum Behav       Date:  2020-11-03

4.  Ranking the effectiveness of worldwide COVID-19 government interventions.

Authors:  Nina Haug; Lukas Geyrhofer; Alessandro Londei; Elma Dervic; Amélie Desvars-Larrive; Vittorio Loreto; Beate Pinior; Stefan Thurner; Peter Klimek
Journal:  Nat Hum Behav       Date:  2020-11-16

5.  Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic.

Authors:  Lewis F Buss; Carlos A Prete; Claudia M M Abrahim; Alfredo Mendrone; Tassila Salomon; Cesar de Almeida-Neto; Rafael F O França; Maria C Belotti; Maria P S S Carvalho; Allyson G Costa; Myuki A E Crispim; Suzete C Ferreira; Nelson A Fraiji; Susie Gurzenda; Charles Whittaker; Leonardo T Kamaura; Pedro L Takecian; Pedro da Silva Peixoto; Marcio K Oikawa; Anna S Nishiya; Vanderson Rocha; Nanci A Salles; Andreza Aruska de Souza Santos; Martirene A da Silva; Brian Custer; Kris V Parag; Manoel Barral-Netto; Moritz U G Kraemer; Rafael H M Pereira; Oliver G Pybus; Michael P Busch; Márcia C Castro; Christopher Dye; Vítor H Nascimento; Nuno R Faria; Ester C Sabino
Journal:  Science       Date:  2020-12-08       Impact factor: 47.728

6.  Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study.

Authors:  Thomas Varsavsky; Mark S Graham; Liane S Canas; Sajaysurya Ganesh; Joan Capdevila Pujol; Carole H Sudre; Benjamin Murray; Marc Modat; M Jorge Cardoso; Christina M Astley; David A Drew; Long H Nguyen; Tove Fall; Maria F Gomez; Paul W Franks; Andrew T Chan; Richard Davies; Jonathan Wolf; Claire J Steves; Tim D Spector; Sebastien Ourselin
Journal:  Lancet Public Health       Date:  2020-12-03

7.  Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections.

Authors:  Chenfeng Xiong; Songhua Hu; Mofeng Yang; Weiyu Luo; Lei Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-15       Impact factor: 11.205

8.  In situ reconstitution of myosin filaments within the myosin-extracted myofibril in cultured skeletal muscle cells.

Authors:  M Taniguchi; H Ishikawa
Journal:  J Cell Biol       Date:  1982-02       Impact factor: 10.539

9.  The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.

Authors:  Matteo Chinazzi; Jessica T Davis; Marco Ajelli; Corrado Gioannini; Maria Litvinova; Stefano Merler; Ana Pastore Y Piontti; Kunpeng Mu; Luca Rossi; Kaiyuan Sun; Cécile Viboud; Xinyue Xiong; Hongjie Yu; M Elizabeth Halloran; Ira M Longini; Alessandro Vespignani
Journal:  Science       Date:  2020-03-06       Impact factor: 47.728

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  6 in total

1.  Financial earthquakes: SARS-CoV-2 news shock propagation in stock and sovereign bond markets.

Authors:  Paolo Pagnottoni; Alessandro Spelta; Nicolò Pecora; Andrea Flori; Fabio Pammolli
Journal:  Physica A       Date:  2021-07-07       Impact factor: 3.778

2.  Understanding the uneven spread of COVID-19 in the context of the global interconnected economy.

Authors:  Dimitrios Tsiotas; Vassilis Tselios
Journal:  Sci Rep       Date:  2022-01-13       Impact factor: 4.379

3.  A data-driven approach to measuring epidemiological susceptibility risk around the world.

Authors:  Alessandro Bitetto; Paola Cerchiello; Charilaos Mertzanis
Journal:  Sci Rep       Date:  2021-12-15       Impact factor: 4.379

4.  Interactions of Co, Cu, and non-metal phthalocyanines with external structures of SARS-CoV-2 using docking and molecular dynamics.

Authors:  Wilson Luna Machado Alencar; Tiago da Silva Arouche; Abel Ferreira Gomes Neto; Teodorico de Castro Ramalho; Raul Nunes de Carvalho Júnior; Antonio Maia de Jesus Chaves Neto
Journal:  Sci Rep       Date:  2022-02-28       Impact factor: 4.379

5.  Social media mining under the COVID-19 context: Progress, challenges, and opportunities.

Authors:  Xiao Huang; Siqin Wang; Mengxi Zhang; Tao Hu; Alexander Hohl; Bing She; Xi Gong; Jianxin Li; Xiao Liu; Oliver Gruebner; Regina Liu; Xiao Li; Zhewei Liu; Xinyue Ye; Zhenlong Li
Journal:  Int J Appl Earth Obs Geoinf       Date:  2022-08-19

6.  Recursive state and parameter estimation of COVID-19 circulating variants dynamics.

Authors:  Daniel Martins Silva; Argimiro Resende Secchi
Journal:  Sci Rep       Date:  2022-09-23       Impact factor: 4.996

  6 in total

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