Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Dominik Brunmeir"'
Autor:
Martin Bicher, Claire Rippinger, Günter Schneckenreither, Nadine Weibrecht, Christoph Urach, Melanie Zechmeister, Dominik Brunmeir, Wolfgang Huf, Niki Popper
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Several systemic factors indicate that worldwide herd immunity against COVID-19 will probably not be achieved in 2021. On the one hand, vaccination programs are limited by availability of doses and on the other hand, the number of people alr
Externí odkaz:
https://doaj.org/article/3736c52d8c334a469d9f29c7a78a44ad
Autor:
Martin Bicher, Claire Rippinger, Melanie Zechmeister, Beate Jahn, Gaby Sroczynski, Nikolai Mühlberger, Julia Santamaria-Navarro, Christoph Urach, Dominik Brunmeir, Uwe Siebert, Niki Popper
Publikováno v:
PLoS ONE, Vol 17, Iss 5 (2022)
Background and objective The distribution of the newly developed vaccines presents a great challenge in the ongoing SARS-CoV-2 pandemic. Policy makers must decide which subgroups should be vaccinated first to minimize the negative consequences of the
Externí odkaz:
https://doaj.org/article/93754c2ee7444a65925351018f283cee
Autor:
Nikolas Popper, Melanie Zechmeister, Dominik Brunmeir, Claire Rippinger, Nadine Weibrecht, Christoph Urach, Martin Bicher, Günter Schneckenreither, Andreas Rauber
Publikováno v:
Data Science Journal, Vol 20, Iss 1 (2021)
We generate synthetic data documenting COVID-19 cases in Austria by the means of an agent-based simulation model. The model simulates the transmission of the SARS-CoV-2 virus in a statistical replica of the population and reproduces typical patient p
Externí odkaz:
https://doaj.org/article/931b5460113f4377be5e0ffd37cf474f
Autor:
Günter Schneckenreither, Philipp Tschandl, Claire Rippinger, Christoph Sinz, Dominik Brunmeir, Nikolas Popper, Harald Kittler
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008660 (2021)
Spatio-temporal patterns of melanocytic proliferations observed in vivo are important for diagnosis but the mechanisms that produce them are poorly understood. Here we present an agent-based model for simulating the emergence of the main biologic pat
Externí odkaz:
https://doaj.org/article/c63147d4269c407e96820778063d71c6
Publikováno v:
SNE Simulation Notes Europe. 32:1-8
Autor:
Günter Schneckenreither, Claire Rippinger, Dominik Brunmeir, Christoph Urach, Niki Popper, Martin Bicher, Wolfgang Huf, Nadine Weibrecht, Melanie Zechmeister
Publikováno v:
Scientific Reports. 12
Several systemic factors indicate that worldwide herd immunity against COVID-19 will probably not be achieved in 2021. On the one hand, vaccination programs are limited by availability of doses and on the other hand, the number of people already infe
Autor:
Martin Bicher, Claire Rippinger, Melanie Zechmeister, Beate Jahn, Gaby Sroczynski, Nikolai Mühlberger, Julia Santamaria-Navarro, Christoph Urach, Dominik Brunmeir, Uwe Siebert, Niki Popper
Publikováno v:
PloS one. 17(5)
Background and objective The distribution of the newly developed vaccines presents a great challenge in the ongoing SARS-CoV-2 pandemic. Policy makers must decide which subgroups should be vaccinated first to minimize the negative consequences of the
Autor:
Nikolas Popper, Dominik Brunmeir, Günter Schneckenreither, Claire Rippinger, Harald Kittler, Christoph Sinz, Philipp Tschandl
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008660 (2021)
PLoS Computational Biology
PLoS Computational Biology
Spatio-temporal patterns of melanocytic proliferations observed in vivo are important for diagnosis but the mechanisms that produce them are poorly understood. Here we present an agent-based model for simulating the emergence of the main biologic pat
Autor:
N. Weibrecht, Claire Rippinger, Dominik Brunmeir, Martin Bicher, Beate Jahn, Nikolai Mühlberger, Gabi Sroczynski, G. Zauner, Christoph Urach, Uwe Siebert, Nikolas Popper
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-11 (2021)
BMC Infectious Diseases
BMC Infectious Diseases
Background Knowing the number of undetected cases of COVID-19 is important for a better understanding of the spread of the disease. This study analyses the temporal dynamic of detected vs. undetected cases to provide guidance for the interpretation o
Autor:
Günter Schneckenreither, Nadine Weibrecht, Dominik Brunmeir, Nikolas Popper, Christoph Urach, Melanie Zechmeister, Andreas Rauber, Claire Rippinger, Martin Bicher
Publikováno v:
Data Science Journal, Vol 20, Iss 1 (2021)
Data Science Journal; Vol 20 (2021); 16
Data Science Journal; Vol 20 (2021); 16
We generate synthetic data documenting COVID-19 cases in Austria by the means of an agent-based simulation model. The model simulates the transmission of the SARS-CoV-2 virus in a statistical replica of the population and reproduces typical patient p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8454fd210ab70394dea3f65650748b5
https://doi.org/10.1101/2020.11.07.20227462
https://doi.org/10.1101/2020.11.07.20227462