Author
Listed:
- Frank Schlosser
(Computational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany; Institute for Theoretical Biology, Humboldt University of Berlin, D-10115 Berlin, Germany)
- Benjamin F. Maier
(Computational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany)
- Olivia Jack
(Computational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany)
- David Hinrichs
(Computational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany)
- Adrian Zachariae
(Computational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany)
- Dirk Brockmann
(Computational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany; Institute for Theoretical Biology, Humboldt University of Berlin, D-10115 Berlin, Germany)
Abstract
In the wake of the COVID-19 pandemic many countries implemented containment measures to reduce disease transmission. Studies using digital data sources show that the mobility of individuals was effectively reduced in multiple countries. However, it remains unclear whether these reductions caused deeper structural changes in mobility networks and how such changes may affect dynamic processes on the network. Here we use movement data of mobile phone users to show that mobility in Germany has not only been reduced considerably: Lockdown measures caused substantial and long-lasting structural changes in the mobility network. We find that long-distance travel was reduced disproportionately strongly. The trimming of long-range network connectivity leads to a more local, clustered network and a moderation of the “small-world” effect. We demonstrate that these structural changes have a considerable effect on epidemic spreading processes by “flattening” the epidemic curve and delaying the spread to geographically distant regions.
Suggested Citation
Frank Schlosser & Benjamin F. Maier & Olivia Jack & David Hinrichs & Adrian Zachariae & Dirk Brockmann, 2020.
"COVID-19 lockdown induces disease-mitigating structural changes in mobility networks,"
Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 32883-32890, December.
Handle:
RePEc:nas:journl:v:117:y:2020:p:32883-32890
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nas:journl:v:117:y:2020:p:32883-32890. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eric Cain (email available below). General contact details of provider: http://www.pnas.org/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.