Mobility data on county level
<p>This dataset is the supplementary material for </p> <ul> <li>Paltra, S., Bostanci, I., Nagel, K. The effect of mobility reductions on infection growth is quadratic in many cases. DepositOnce (Preprint, Feb 2024) <a href="https://doi.org/10.14279/depositonce-17965">https://doi.org/10.14279/depositonce-17965</a></li> </ul> <p>Tha dataset is also used in the <strong>Math+ project EF4-13 "Modeling Infection Spreading and Counter-Measures in a Pandemic Situation Using Coupled Models"</strong> to perform the epidemic simulation studies. </p> <p>The CSV file contains for each week the average no. of daily hours people spend outside of home on county level.</p> <p>For the terms of use, please see the associated LICENSE file.</p> <p>More information can be found on our website: <a href="https://covid-sim.info/">https://covid-sim.info/</a>. If you have questions, please contact <a href="mailto:covid19@vsp.tu-berlin.de">covid19@vsp.tu-berlin.de</a> .</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 8
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