A5009019676- COVID-19 epidemiological studies
- Mathematical Biology Tumor Growth
- COVID-19 Pandemic Impacts
- SARS-CoV-2 and COVID-19 Research
- Stochastic processes and statistical mechanics
- Viral Infections and Outbreaks Research
- Mathematical and Theoretical Epidemiology and Ecology Models
- Gene Regulatory Network Analysis
- COVID-19 impact on air quality
- Mental Health Research Topics
- Simulation Techniques and Applications
- Nanoplatforms for cancer theranostics
- Porphyrin and Phthalocyanine Chemistry
- Cell Image Analysis Techniques
- Distributed and Parallel Computing Systems
- Photodynamic Therapy Research Studies
- Geographic Information Systems Studies
- Complex Network Analysis Techniques
- Neural dynamics and brain function
- Electrochemical Analysis and Applications
- Neuroscience and Neural Engineering
University of Szeged
2013-2023
HUN-REN Wigner Research Centre for Physics
2022
We developed a computational tool to assess the risks of novel coronavirus outbreaks outside China. estimate dependence risk major outbreak in country from imported cases on key parameters such as: (i) evolution cumulative number mainland China closed areas; (ii) connectivity destination with China, including baseline travel frequencies, effect restrictions, and efficacy entry screening at destination; (iii) control measures (expressed by local reproduction R loc ). found that countries low...
COVID-19 epidemic has been suppressed in Hungary due to timely non-pharmaceutical interventions, prompting a considerable reduction the number of contacts and transmission virus. This strategy was effective preventing growth reducing incidence low levels. In this report, we present first epidemiological statistical analysis early phase outbreak Hungary. Then, establish an age-structured compartmental model explore alternative post-lockdown scenarios. We incorporate various factors, such as...
Abstract We developed a computational tool to assess the risks of novel coronavirus outbreaks outside China. estimate dependence risk major outbreak in country from imported cases on key parameters such as: (i) evolution cumulative number mainland China closed areas; (ii) connectivity destination with China, including baseline travel frequencies, effect restrictions, and efficacy entry screening at destination; (iii) control measures (expressed by local reproduction R loc ). found that...
Abstract COVID-19 epidemic has been suppressed in Hungary due to timely non-pharmaceutical interventions, prompting a huge reduction the number of contacts and transmission virus. This strategy was effective preventing growth reducing incidence low levels. In this report, we present first epidemiological statistical analysis early phase outbreak Hungary. Then, establish an age-structured compartmental model explore alternative post-lockdown scenarios. We incorporate various factors, such as...
Photosensitizers may convert molecular oxygen into reactive species (ROS) including, e.g., singlet (1O2), superoxide anion (), and hydroxyl radicals (•OH), chemicals with extremely high cyto- potential genotoxicity. Photodynamic ROS reactions are determinative in medical photodynamic therapy (cancer treatment externally added photosensitizers) damaging the photosynthetic apparatus of plants (via internal pigments). The primary events photosynthesis take place chlorophyll containing reaction...
Abstract We assess the potential consequences of upcoming SARS-CoV-2 waves caused by Omicron variant. Our results suggest that even in those regions where Delta variant is controlled at moment a combination non-pharmaceutical interventions and population immunity, significant wave can be expected. stratify according to prior immunity status, characterize possible outbreaks depending on level pre-existing immune evasion capability Omicron. point out two countries having similar effective...
We consider the mean-field approximation of an individual-based model describing cell motility and proliferation, which incorporates volume exclusion principle, go-or-grow hypothesis explicit cycle delay. To utilise framework on-lattice agent-based models, we make assumption that cells enter mitosis only if they can secure additional site for daughter cell, in case occupy two lattice sites until completion mitosis. The is expressed by a system delay differential equations includes variables...
In this paper, we address the modeling issues of cell movement and division with a special focus on phenomenon volume exclusion in lattice-based, exact stochastic simulation framework. We propose new method, called Reduced Rate Method -- RRM, that is substantially quicker than previously used for large number cells. addition, introduce three novel reaction types: contact-inhibited, contact-promoted, spontaneous reactions. To best our knowledge, these types have not been taken into account...
Although electrophysiologists have been recording intracellular neural activity routinely ever since the ground-breaking work of Hodgkin and Huxley, extracellular multichannel electrodes also used frequently extensively, a practical experimental method to track changes in membrane potential along complete single neuron is still lacking. Instead obtaining multiple measurements on same neuron, we propose an alternative by combining single-channel somatic patch-clamp recordings. In this work,...
Mathematical modeling is one of the key factors effective control newly found infectious diseases, such as COVID-19. Our knowledge about parameters and course infection highly limited in beginning epidemic, hence computer implementation models have to be quick flexible. The propensity matrix - update graph method we discuss this paper serves a convenient approach efficiently implement age structured stochastic epidemic models. code base implemented for our forecasting work also included...