Publikationen von Schons, Maximilian

Schons, Maximilian , Pilgram, Lisa , Reese, Jens-Peter, Stecher, Melanie, Anton, Gabriele , Appel, Katharina S. , Bahmer, Thomas, Bartschke, Alexander , Bellinghausen, Carla, Bernemann, Inga, Brechtel, Markus, Brinkmann, Folke , Brünn, Clara, Dhillon, Christine, Fiessler, Cornelia, Geisler, Ramsia , Hamelmann, Eckard, Hansch, Stefan, Hanses, Frank , Hanß, Sabine , Herold, Susanne, Heyder, Ralf, Hofmann, Anna-Lena , Hopff, Sina Marie, Horn, Anna, Jakob, Carolin, Jiru-Hillmann, Steffi , Keil, Thomas, Khodamoradi, Yascha , Kohls, Mirjam, Kraus, Monika, Krefting, Dagmar , Kunze, Sonja, Kurth, Florian, Lieb, Wolfgang , Lippert, Lena Johanna, Lorbeer, Roberto, Lorenz-Depiereux, Bettina, Maetzler, Corina, Miljukov, Olga, Nauck, Matthias, Pape, Daniel, Püntmann, Valentina, Reinke, Lennart , Römmele, Christoph, Rudolph, Stefanie , Sass, Julian, Schäfer, Christian, Schaller, Jens, Schattschneider, Mario, Scheer, Christian, Scherer, Margarete, Schmidt, Sein, Schmidt, Julia, Seibel, Kristina, Stahl, Dana, Steinbeis, Fridolin, Störk, Stefan, Tauchert, Maike, Tebbe, Johannes Josef, Thibeault, Charlotte , Toepfner, Nicole, Ungethüm, Kathrin, Vadasz, Istvan , Valentin, Heike, Wiedmann, Silke, Zoller, Thomas , Nagel, Eike, Krawczak, Michael, von Kalle, Christof, Illig, Thomas, Schreiber, Stefan , Witzenrath, Martin, Heuschmann, Peter und Vehreschild, Jörg Janne (2022) The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics. European Journal of Epidemiology 37 (8), S. 849-870.

Jakob, Carolin E. M., Mahajan, Ujjwal Mukund, Oswald, Marcus, Stecher, Melanie, Schons, Maximilian, Mayerle, Julia, Rieg, Siegbert, Pletz, Mathias , Merle, Uta, Wille, Kai , Borgmann, Stefan, Spinner, Christoph D., Dolff, Sebastian, Scherer, Clemens, Pilgram, Lisa, Rüthrich, Maria, Hanses, Frank , Hower, Martin, Strauß, Richard, Massberg, Steffen, Er, Ahmet Görkem , Jung, Norma, Vehreschild, Jörg Janne, Stubbe, Hans, Tometten, Lukas und König, Rainer (2021) Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning. Infection 50 (2), S. 359-370.

Jakob, Carolin E. M., Borgmann, Stefan, Duygu, Fazilet, Behrends, Uta, Hower, Martin, Merle, Uta, Friedrichs, Anette, Tometten, Lukas, Hanses, Frank, Jung, Norma, Rieg, Siegbert , Wille, Kai , Grüner, Beate, Klinker, Hartwig, Gersbacher-Runge, Nicole, Hellwig, Kerstin, Eberwein, Lukas, Dolff, Sebastian, Rauschning, Dominic, von Bergwelt-Baildon, Michael, Lanznaster, Julia, Strauß, Richard, Trauth, Janina, de With, Katja, Ruethrich, Maria, Lueck, Catherina, Nattermann, Jacob, Tscharntke, Lene, Pilgram, Lisa, Fuhrmann, Sandra, Classen, Annika, Stecher, Melanie, Schons, Maximilian, Spinner, Christoph und Vehreschild, Jörg Janne (2020) First results of the “Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS)". Infection 49 (1), S. 63-73.