Publications of Jonas Dehning

Oróstica, K. Y.; Mohr, S. B.; Dehning, J.; Bauer, S.; Medina-Ortiz, D.; Iftekhar, E. N.; Mujica, K.; Covarrubias, P. C.; Ulloa, S.; Castillo, A. E. et al.; Daza-Sánchez, A.; Verdugo, R. A.; Fernández, J.; Olivera-Nappa, Á.; Priesemann, V.; Contreras, S. A.: Early mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants in Chile. Scientific Reports 14, 16000 (2024)

Dehning, J.; Mohr, S. B.; Contreras, S.; Dönges, P.; Iftekhar, E. N.; Schulz, O.; Bechtle, P.; Priesemann, V.: Impact of the Euro 2020 championship on the spread of COVID-19. Nature Communications 14, 122 (2023)

Kekić, A.; Dehning, J.; Gresele, L.; von Kügelgen, J.; Priesemann, V.; Schölkopf, B.: Evaluating vaccine allocation strategies using simulation-assisted causal modeling. Patterns 4, 100739 (2023)

Rowland, J.M.; van der Plas, T.L.; Loidolt, M.; Lees, R.M.; Keeling, J.; Dehning, J.; Akam, T.; Priesemann, V.; Packer, A.M.: Propagation of activity through the cortical hierarchy and perception are determined by neural variability. Nature Neuroscience 26 (9), pp. 1584 - 1594 (2023)

Sherratt, K.; Gruson, H.; Grah, R.; Johnson, H.; Niehus, R.; Prasse, B.; Sandmann, F.; Deuschel, J.; Wolffram, D.; Abbott, S. et al.; Ullrich, A.; Gibson, G.; Ray, E. L.; Reich, N. G.; Sheldon, D.; Wang, Y.; Wattanachit, N.; Wang, L.; Trnka, J.; Obozinski, G.; Sun, T.; Thanou, D.; Pottier, L.; Krymova, E.; Meinke, J. H.; Barbarossa, M. V.; Leithauser, N.; Mohring, J.; Schneider, J.; Wlazlo, J.; Fuhrmann, J.; Lange, B.; Rodiah, I.; Baccam, P.; Gurung, H.; Stage, S.; Suchoski, B.; Budzinski, J.; Walraven, R.; Villanueva, I.; Tucek, V.; Smid, M.; Zajicek, M.; Perez Alvarez, C.; Reina, B.; Bosse, N. I.; Meakin, S. R.; Castro, L.; Fairchild, G.; Michaud, I.; Osthus, D.; Alaimo Di Loro, P.; Maruotti, A.; Eclerova, V.; Kraus, A.; Kraus, D.; Pribylova, L.; Dimitris, B.; Li, M. L.; Saksham, S.; Dehning, J.; Mohr, S. B.; Priesemann, V.; Redlarski, G.; Bejar, B.; Ardenghi, G.; Parolini, N.; Ziarelli, G.; Bock, W.; Heyder, S.; Hotz, T.; Singh, D. E.; Guzman-Merino, M.; Aznarte, J. L.; Morina, D.; Alonso, S.; Alvarez, E.; Lopez, D.; Prats, C.; Burgard, J. P.; Rodloff, A.; Zimmermann, T.; Kuhlmann, A.; Zibert, J.; Pennoni, F.; Divino, F.; Catala, M.; Lovison, G.; Giudici, P.; Tarantino, B.; Bartolucci, F.; Jona Lasinio, G.; Mingione, M.; Farcomeni, A.; Srivastava, A.; Montero-Manso, P.; Adiga, A.; Hurt, B.; Lewis, B.; Marathe, M.; Porebski, P.; Venkatramanan, S.; Bartczuk, R. P.; Dreger, F.; Gambin, A.; Gogolewski, K.; Gruziel-Slomka, M.; Krupa, B.; Moszyński, A.; Niedzielewski, K.; Nowosielski, J.; Radwan, M.; Rakowski, F.; Semeniuk, M.; Szczurek, E.; Zielinski, J.; Kisielewski, J.; Pabjan, B.; Holger, K.; Kheifetz, Y.; Scholz, M.; Przemyslaw, B.; Bodych, M.; Filinski, M.; Idzikowski, R.; Krueger, T.; Ozanski, T.; Bracher, J.; Funk, S.: Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations. eLife 12, e81916 (2023)

Zierenberg, J.; Spitzner, F. P.; Dehning, J.; Priesemann, V.; Weigel, M.; Wilczek, M.: How contact patterns destabilize and modulate epidemic outbreaks. New Journal of Physics 25, 053033 (2023)

Contreras, S.; Dehning, J.; Priesemann, V.: Describing a landscape we are yet discovering. AStA Advances in Statistical Analysis (2022)

Dönges, P.; Wagner, J.; Contreras, S.; Iftekhar, E. N.; Bauer, S.; Mohr, S. B.; Dehning, J.; Calero Valdez, A.; Kretzschmar, M.; Mäs, M. et al.; Nagel, K.; Priesemann, V.: Interplay Between Risk Perception, Behavior, and COVID-19 Spread. Frontiers in Physics 10, 842180 (2022)

Bauer, S.; Contreras, S.; Dehning, J.; Linden, M.; Iftekhar, E. N.; Mohr, S. B.; Olivera-Nappa, A.; Priesemann, V.: Relaxing restrictions at the pace of vaccination increases freedom and guards against further COVID-19 waves. PLOS Computational Biology 17 (9), e1009288 (2021)

Contreras, S.; Dehning, J.; Loidolt, M.; Zierenberg, J.; Spitzner, F. P.; Urrea-Quintero, J. H.; Mohr, S. B.; Wilczek, M.; Wibral, M.; Priesemann, V.: The challenges of containing SARS-CoV-2 via test-trace-and-isolate. Nature Communications 12, 378 (2021)

Contreras, S.; Dehning, J.; Mohr, S. B.; Bauer, S.; Spitzner, F. P.; Priesemann, V.: Low case numbers enable long-term stable pandemic control without lockdowns. Science Advances 7, eabg2243 (2021)

Spitzner, F. P.; Dehning, J.; Wilting, J.; Hagemann, A.; Pinheiro Neto, J.; Zierenberg, J.; Priesemann, V.: MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity. PLOS ONE 16, e0249447 (2021)

Dehning, J.; Zierenberg, J.; Spitzner, F. P.; Wibral, M.; Pinheiro Neto, J.; Wilczek, M.; Priesemann, V.: Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science 369, eabb9789 (2020)

Linden, M.; Mohr, S. B.; Dehning, J.; Mohring, J.; Meyer-Hermann, M.; Pigeot, I.; Schöbel, A.; Priesemann, V.: Case Numbers Beyond Contact Tracing Capacity Are Endangering the Containment of COVID-19. Deutsches Ärzteblatt International 117, pp. 790 - 791 (2020)

Wilting, J.; Dehning, J.; Pinheiro Neto, J.; Rudelt, L.; Wibral, M.; Zierenberg, J.; Priesemann, V.: Operating in a reverberating regime enables rapid tuning of network states to task requirements. Frontiers in Systems Neuroscience 12, 55 (2018)