https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Center for Spatial Information Science, The University of Tokyo 5-1-5 Kashiwanoha, 277-8568 Kashiwa-shi, Chiba, Japan.ORCID iD: 0000-0002-4641-0641
Center for Spatial Information Science, The University of Tokyo 5-1-5 Kashiwanoha, 277-8568 Kashiwa-shi, Chiba, Japan.
Center for Spatial Information Science, The University of Tokyo 5-1-5 Kashiwanoha, 277-8568 Kashiwa-shi, Chiba, Japan.
Center for Spatial Information Science, The University of Tokyo 5-1-5 Kashiwanoha, 277-8568 Kashiwa-shi, Chiba, Japan.
Show others and affiliations
2022 (English)In: Cities, ISSN 0264-2751, E-ISSN 1873-6084, Vol. 120, article id 103502Article in journal (Refereed) Published
Abstract [en]

Lockdown measures have been a “panacea” for pandemic control but also a violent “poison” for economies.Lockdown policies strongly restrict human mobility but mobility reduce does harm to economics. Governmentsmeet a thorny problem in balancing the pros and cons of lockdown policies, but lack comprehensive andquantified guides. Based on millions of financial transaction records, and billions of mobility data, we trackedspatio-temporal business networks and human daily mobility, then proposed a high-resolution two-sidedframework to assess the epidemiological performance and economic damage of different lockdown policies. Wefound that the pandemic duration under the strictest lockdown is less about two months than that under thelightest lockdown, which makes the strictest lockdown characterize both epidemiologically and economicallyefficient. Moreover, based on the two-sided model, we explored the spatial lockdown strategy. We argue thatcutting off intercity commuting is significant in both epidemiological and economical aspects, and finally helpedgovernments figure out the Pareto optimal solution set of lockdown strategy.

Place, publisher, year, edition, pages
2022. Vol. 120, article id 103502
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:mdh:diva-57199DOI: 10.1016/j.cities.2021.103502ISI: 000792678800002Scopus ID: 2-s2.0-85118714443OAI: oai:DiVA.org:mdh-57199DiVA, id: diva2:1634461
Available from: 2022-02-02 Created: 2022-02-02 Last updated: 2022-05-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Zhang, HaoranYan, Jinyue

Search in DiVA

By author/editor
Zhang, HaoranYan, Jinyue
By organisation
Future Energy Center
In the same journal
Cities
Public Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 94 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf