Revision history of "Input data for Episim Berlin Corona spreading simulation" (Q6483164)

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11 June 2025

19 May 2025

13 May 2025

26 February 2025

30 December 2024

10 October 2024

  • curprev 19:1519:15, 10 October 2024 Tconrad talk contribs 7,697 bytes +16 ‎Changed claim: description (P1459): This dataset is supplementary material for \N\NMüller, S. A., Balmer, M., Charlton, W., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. & Nagel, K. Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data. PLOS ONE 16 (ed Benenson, I.) (Oct. 2021) https://doi.org/10.1371/journal.pone.0259037 \N\NThe dataset is also used in the Math+...
  • curprev 19:1419:14, 10 October 2024 Tconrad talk contribs 7,681 bytes −4 ‎Changed claim: description (P1459): This dataset is supplementary material for \N\NMüller, S. A., Balmer, M., Charlton, W., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. & Nagel, K. Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data. PLOS ONE 16 (ed Benenson, I.) (Oct. 2021) https://doi.org/10.1371/journal.pone.0259037 The dataset is also used in the Math+ pro...
  • curprev 19:1419:14, 10 October 2024 Tconrad talk contribs 7,685 bytes +2 ‎Changed claim: description (P1459): This dataset is supplementary material for \N\N Müller, S. A., Balmer, M., Charlton, W., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. & Nagel, K. Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data. PLOS ONE 16 (ed Benenson, I.) (Oct. 2021) https://doi.org/10.1371/journal.pone.0259037 The dataset is also used in the Math+...
  • curprev 19:1319:13, 10 October 2024 Tconrad talk contribs 7,683 bytes +2 ‎Changed claim: description (P1459): This dataset is supplementary material for \n Müller, S. A., Balmer, M., Charlton, W., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. & Nagel, K. Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data. PLOS ONE 16 (ed Benenson, I.) (Oct. 2021) https://doi.org/10.1371/journal.pone.0259037 The dataset is also used in the Math+ p...
  • curprev 19:1119:11, 10 October 2024 Tconrad talk contribs 7,681 bytes +1,353 ‎Created claim: description (P1459): This dataset is supplementary material for Müller, S. A., Balmer, M., Charlton, W., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. & Nagel, K. Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data. PLOS ONE 16 (ed Benenson, I.) (Oct. 2021) https://doi.org/10.1371/journal.pone.0259037 The dataset is also used in the Math+ pro...

5 September 2024

3 September 2024

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