Katja Polotzek

ORCID: 0000-0002-4023-6654
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About
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Research Areas
  • Data-Driven Disease Surveillance
  • COVID-19 epidemiological studies
  • Influenza Virus Research Studies
  • Mobile Health and mHealth Applications
  • Health and Medical Studies
  • Nonlinear Dynamics and Pattern Formation
  • Financial Risk and Volatility Modeling
  • Micro and Nano Robotics
  • Telemedicine and Telehealth Implementation
  • Hydrology and Drought Analysis
  • COVID-19 and healthcare impacts
  • Climate variability and models
  • Molecular Communication and Nanonetworks
  • Healthcare Operations and Scheduling Optimization

University Hospital Carl Gustav Carus
2021-2024

TU Dresden
2013-2024

Max Planck Institute for the Physics of Complex Systems
2013-2020

As of late 2019, the COVID-19 pandemic has been a challenge to health care systems worldwide. Rapidly rising local incidence rates, result in demand for high hospital and intensive bed capacities on short notice. A detailed up-to-date regional surveillance dynamics pandemic, precise prediction required inpatient as well centralized coordination distribution patient fluxes is needed ensure optimal care. In March 2020, German federal state Saxony established three centers located at each its...

10.1371/journal.pone.0262491 article EN cc-by PLoS ONE 2022-01-27

The second wave of the COVID-19 pandemic led to substantial differences in incidence rates across Germany.Assumption-free k-nearest neighbour clustering from principal component analysis weekly German counties groups similar spreading behaviour. Different dynamics was analysed by derivative plots temporal evolution tuples [x(t),x'(t)] and their derivatives. effectiveness different shutdown measures Germany during is assessed difference incidences before after respective time periods.The...

10.1016/j.lanepe.2021.100151 article EN cc-by The Lancet Regional Health - Europe 2021-06-27

In a recent letter (Friedrich et al 2012 Phys. Rev. Lett. 109 138102), minimal model swimmer has been proposed that propels itself at low Reynolds numbers by the revolving motion of pair spheres. The two spheres can synchronize virtue hydrodynamic coupling depends on swimmer, but is rather independent direct interactions. This novel synchronization mechanism could account for flagella, e.g. in green algae Chlamydomonas. this paper, we discuss detail how swimming and depend geometry compute...

10.1088/1367-2630/15/4/045005 article EN cc-by New Journal of Physics 2013-04-10

A third SARS-CoV-2 infection wave has affected Germany from March 2021 until April 24th, the ´Bundesnotbremse´ introduced nationwide shutdown measures. The is technical term which was used by German government to describe measures control rising numbers. These included mainly contact restrictions on several level. This study investigates effects locally dispersed pre- and post-´Bundesnotbremse´ had dynamics. We analyzed variability strength of rates changes weekly case numbers considering...

10.1007/s15010-021-01713-7 article EN cc-by Infection 2021-10-20

The COVID-19 pandemic revealed a need for better collaboration among research, care, and management in Germany as well globally. Initially, there was high demand broad data collection across Germany, but the evolved, localized became increasingly necessary. Customized dashboards tools were rapidly developed to provide timely accurate information. In Saxony, DISPENSE project created predict short-term hospital bed capacity demands, while it successful, continuous adjustments initial...

10.1371/journal.pone.0297039 article EN cc-by PLoS ONE 2024-01-31

Abstract Correlations in models for daily precipitation are often generated by elaborate numerics that employ a high number of hidden parameters. We propose parsimonious and parametric stochastic model European mid-latitude amounts with focus on the influence correlations statistics. Our method is meta-Gaussian applying truncated-Gaussian-power (tGp) transformation to Gaussian ARFIMA model. The speciality this approach ARFIMA(1, d , 0) processes provide synthetic time series long- (LRC),...

10.1007/s00477-020-01833-w article EN cc-by Stochastic Environmental Research and Risk Assessment 2020-07-22

Background: The second wave of the COVID-19 pandemic led to substantial differences in incidence rates across Germany. Methods: Assumption-free k-nearest neighbour clustering from principal component analysis weekly German counties groups similar spreading behaviour. Different dynamics was analysed by derivative plots temporal evolution tuples [x(t),x'(t)] and their derivatives. effectiveness different shutdown measures Germany during is assessed difference incidences before after respective...

10.2139/ssrn.3804989 article EN SSRN Electronic Journal 2021-01-01
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