A5009808960- Impact of AI and Big Data on Business and Society
- COVID-19, Geopolitics, Technology, Migration
- Regional Socio-Economic Development Trends
- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- Stochastic processes and financial applications
- Complex Systems and Time Series Analysis
- Auction Theory and Applications
- Consumer Market Behavior and Pricing
- Economic theories and models
- Credit Risk and Financial Regulations
- Banking stability, regulation, efficiency
- Risk and Portfolio Optimization
- Housing Market and Economics
- COVID-19 Pandemic Impacts
- Financial Markets and Investment Strategies
- Optimization and Mathematical Programming
- Vaccine Coverage and Hesitancy
- Climate Change Policy and Economics
- COVID-19 Clinical Research Studies
- Optimization and Variational Analysis
- SARS-CoV-2 detection and testing
- Merger and Competition Analysis
- Energy, Environment, and Transportation Policies
- Data-Driven Disease Surveillance
Czech Academy of Sciences, Institute of Information Theory and Automation
2013-2024
Zero to Three
2024
Charles University
2023-2024
University of Utah
2024
Zuyderland Medisch Centrum
2018
Masaryk University
2014
Czech Academy of Sciences
2008
Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields recent insights epidemiology, one maximise the predictive performance such if multiple models are combined into an ensemble. Here, we report ensembles predicting COVID-19 cases deaths across Europe between 08 March 2021 07 2022.
The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evades immunity conferred by vaccines and previous infections.We used a Cox proportional hazards model logistic regression on individual-level population-wide data from the Czech Republic to estimate risks infection hospitalization, including states.A recent (≤2 months) full vaccination reached vaccine effectiveness (VE) 43% (95% confidence interval [CI], 42%-44%) against compared 73% CI, 72%-74%) Delta. A...
Studies demonstrating the waning of post-vaccination and post-infection immunity against covid-19 generally analyzed a limited range vaccines or subsets populations. Using Czech national health data from beginning pandemic till November 20, 2021 we estimated risks reinfection, breakthrough infection, hospitalization death by Cox regression adjusted for sex, age, vaccine type vaccination status. Vaccine effectiveness infection declined 87% at 0-2 months after second dose to 53% 7-8 BNT162b2...
The Omicron variant of the SARS-CoV-2 virus carries mutations, which enable it to evade immunity conferred by vaccines and previous infections. We used a Cox proportional hazards model logistic regression on individual-level data all laboratory-confirmed infections in Czech Republic estimate relative risk infection, hospitalization, including severe states, for Delta variants, adjusting sex, age, vaccine type vaccination status. A recent (<2 months) two-dose reached VE 43% (95% CI: 42-44)...
S ummary Background Evidence is accumulating that the effectiveness of covid-19 vaccines against infection wanes, reaching relatively low values after 6 months. Published studies demonstrating this effect based their findings on a limited range or subset populations, and did not include booster vaccine doses immunity obtained due to infection. Here we evaluate vaccines, previous infection, hospital admission death for whole population in Czech Republic. Methods Data used study cover Republic...
BackgroundCOVID-19 remains a major infectious disease with substantial implications for individual and public health including the risk of post-infection syndrome, long COVID. The continuous changes in dominant variants SARS-CoV-2 necessitate careful study effect preventative strategies.AimWe aimed to estimate effectiveness post-vaccination, hybrid immunity against severe cases requiring oxygen support caused by infections BA1/2 BA4/5+, COVID infected population their over time.MethodsWe...
Abstract Background Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields recent insights epidemiology, one maximise the predictive performance such if multiple models are combined into an ensemble. Here we report ensembles predicting COVID-19 cases deaths across Europe between 08 March 2021 07 2022. Methods We used open-source tools develop a public European Forecast Hub. invited groups...
Contact tracing is one of the most effective non-pharmaceutical interventions in COVID-19 pandemic. This study uses a multi-agent model to investigate impact four types contact strategies prevent spread COVID-19. In order analyse individual reasonably realistic setup, we construct an agent-based small municipality with about 60.000 inhabitants (nodes) and 2.8 million social contacts (edges) 30 different layers. Those layers reflect demographic, geographic, sociological other patterns TTWA...
Abstract There are many epidemiological models at hand to cope with the present pandemic; it is, however, difficult calibrate these when data noisy, partial or observed only indirectly. It is also distinguish relevant from noise, and impact of individual determinants epidemic. In mathematical statistics, tools handle all phenomena exist; they seldom used for models. The goal this paper start filling gap by proposing a general stochastic model, which we call SEIR Filter. Technically our model...
Abstract This report presents a technical description of our agent-based epidemic model particular middle-sized municipality. We have developed realistic with 56 thousand inhabitants and 2.7 millions social contacts. These form multi-layer network that serves as base simulation. The disease is modeled by extended SEIR parameters fitted to real epidemics data for Czech Republic. able simulate whole range non-pharmaceutical interventions on individual level, such protective measures physical...
A unit volume zero intelligence (ZI) model is defined and the distribution of its L1 process recursively described. Further, a generalized ZI (GZI) allowing non-unit market orders, shifts quotes general in-spread events proposed formula for conditional given, together with price impact. For both models, MLE estimators are formulated shown to be consistent asymptotically normal. Consequently, applied data six US stocks from nine electronic markets. It found that more complex variants despite...
Environmental policy in the European Union is a frequent topic when speaking about strategic development of national economies, their sectors, or companies. This paper focused on transmissions between carbon market and Czech steel industry. relationship worth exploring for two main reasons – first, iron industry responsible substantial part CO2 pollution covered by emissions trading system (EU ETS) and, second, this sector traditional vital Republic. We use dynamic Factor Augmented Vector...
Following initial optimism regarding potentially rapid vaccination, delays and shortages in vaccine supplies occurred many countries during spring 2021. Various strategies to counter this gloomy reality speed up vaccination have been set forth, of which the most popular has delay second dose for a longer period than originally recommended by manufacturers. Controversy surrounded strategy, overly simplistic models developed shed light on issue. Here we use three different epidemic models, all...
We introduce an improved multi-factor credit risk model describing simultaneously the default rate and loss given default.Our methodology is based on KMV model, which we generalize in three ways.First, add a for (LGD), second, bring dynamics to third, allow non-normal distributions of factors.Both defaults LGD are driven by common factor individual factor; factors mutually independent, but any form dependence factors.We test our nationwide portfolio US mortgage delinquencies, modeling VECM...