Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland

Regulski, Piotr; Wendykier, Piotr; Kantiem, K.; Murdzek, Wiktor

doi:10.1016/j.procs.2021.09.195

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…Compared to the MOCOS model, pDyn has a detailed and georeferenced structure of various contexts [19], while MOCOS implements advanced contact-tracing analytical methods. Other models, such as those developed as concept models [20,21], provided valuable methodological scientiőc insights but were only used locally and did not reach an operational regime.…”

Section: Introductionmentioning

confidence: 99%

“…Compared to the MOCOS model (Adamik et al, 2020), pDyn distinguishes itself with a detailed and georeferenced structure of various contexts, while MOCOS incorporates advanced contact-tracing analytical methods. Other models, such as those developed as conceptual models (Pałka et al, 2022;Regulski et al, 2021) offered valuable methodological insights but were primarily employed locally and did not transition into operational use.…”

Section: Introductionmentioning

confidence: 99%

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A Deep Dive into the Delta Wave: Forecasting SARS-CoV-2 Epidemic Dynamic in Poland with the pDyn Agent-Based Model

Niedzielewski,

Bartczuk,

Bielczyk

et al. 2023

Preprint

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In this work, we describe and forecast the fourth wave of the SARS-CoV-2 epidemic, driven by the Delta variant, using pDyn — a detailed epidemiological agent-based model. It is designed to explain the spatiotemporal dynamics of the SARS-CoV-2 spread across Polish society, predicting the number and locations of disease-related states for agents living in the virtual society in response to varying properties of the pathogen and the social structure and behavior. We evaluate the validity of the dynamics generated by the model, including the succession of pathogen variants, immunization dynamics, and the ratio of vaccinated individuals among confirmed cases. Additionally, we assess the model’s predictive power in estimating pandemic dynamics (peak timing, peak value, and wave length) of disease-related states (number of confirmed cases, hospitalizations, ICU hospitalizations, and deaths) both at the national level and in the highest administrative units in Poland (voivodships). When testing the model’s validity, we compared real-world data (excluding data used for calibration) to our model estimates to evaluate whether pDyn accurately reproduced the epidemic dynamics up to the simulation time (October 28, 2021). To assess the accuracy of pDyn’s predictions, we retrospectively compared simulation results with real-world data acquired after the simulation date, evaluating pDyn as a tool for predicting future epidemic spread. Our results indicate that pDyn accurately predicts and can help us better understand the mechanisms underlying the SARS-CoV-2 dynamics.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Deep Dive into the Delta Wave: Forecasting SARS-CoV-2 Epidemic Dynamic in Poland with the pDyn Agent-Based Model

Niedzielewski,

Bartczuk,

Bielczyk

et al. 2023

Preprint

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show abstract

“…They recommend restricting or suspending certain practices and the use of appropriate personal protective equipment and protocols of conduct regarding the COVID-19 pandemic [2,3,7,8,[17][18][19][20][21][22][23][24][25][26]. To facilitate coping with challenges in healthcare, a A special COVID-19 application has been developed in Poland to predict and reduce the consequences of the pandemic [27].…”

Section: Introductionmentioning

confidence: 99%

Knowledge and Attitude of Polish Dental Healthcare Professionals during the COVID-19 Pandemic

Turska‐Szybka

Prokopczyk

Winkielman

et al. 2021

IJERPH

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Objectives: This study analyzed Polish dentists’ knowledge of the SARS-CoV-2 virus and the main problems in their work during the early phase of the pandemic. Methods: Dentists responded to an online anonymous survey consisting of 57 questions relating to socio-demographics, knowledge about COVID-19, and office procedures. The obtained data were analyzed using basic descriptive statistics, significance of dependencies and Chi square and Mann–Whitney tests; p < 0.05. Results: Ultimately, responses from 730 dentists were included. The mean age was 43.62 ± 11.57. Almost 3/4 of the respondents followed the information on COVID-19. A total of 95.5% had knowledge about COVID-19. Genetic testing was the basic test according to 69.2%. Further, 56.0% were concerned about the pandemic, and 23.6% were significantly anxious. In addition, 42.1% considered a risk of infection with the SARS-CoV-2 in the workplace as very high. A total of 84.0% admitted patients performing a triage and using personal protective equipment (PPE). Further, 44.5% planned to become vaccinated. Continuing the work during the pandemic was strongly correlated with age, sector, and location and duration of work. Conclusions: Most Polish dentists follow the information on the COVID-19 protocol and have sufficient knowledge about COVID-19. Dentists are concerned and anxious about the situation. The vast majority admitted patients during the pandemic and use PPE. Only almost half plan to be vaccinated.

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VisNow-Medical—A Visual Analysis Platform for Medical Data Processing

Regulski

Szopiński

2022

Innovation in Medicine and Healthcare

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Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland

Cited by 8 publications

References 3 publications

A Deep Dive into the Delta Wave: Forecasting SARS-CoV-2 Epidemic Dynamic in Poland with the pDyn Agent-Based Model

A Deep Dive into the Delta Wave: Forecasting SARS-CoV-2 Epidemic Dynamic in Poland with the pDyn Agent-Based Model

Knowledge and Attitude of Polish Dental Healthcare Professionals during the COVID-19 Pandemic

VisNow-Medical—A Visual Analysis Platform for Medical Data Processing

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