Predictive Modeling of the COVID-19 Epidemic

Project Description

Project Type: research

Project Acronym: ProME

Research on the possibility of building an IT / AI / ML (Information Technology / Artificial Intelligence / Machine Learning) system and a set of tools supporting the monitoring and limiting the spread of the COVID-19 epidemic in Poland, allowing for epidemic risk management through decision support based on spatial prediction of epidemic development in high resolution. The data collection process and the model development process are intended to broaden knowledge and identify key processes related to the pandemic and its impact now and in the future.

Project Goals

  • Retrospective analysis of the COVID-19 epidemic dynamics in Poland, with particular emphasis on the incidence of SARS-CoV-2 coronavirus infections and deaths due to COVID-19 in individual administrative divisions of Poland
  • Development of a prototype for online prediction of potential new COVID-19 outbreaks
  • Dynamic visualization of forecasted changes in the development of epidemics on the map of Poland, based on aggregated latest technology and advanced population dynamics methods
  • Development of the first version of an AI/ML system to support the epidemic risk management


The group of experts responsible for the implementation includes specialists in Data Science, analysts, computer modelers, visualizers, IT engineers supported by authorities recognized in the field of epidemiological research. The whole research is directed by Prof. Marek Niezgódka.


4th ProME Seminar (27/04/2021)

Dear Sir or Madam, I would like to cordially invite you to the seminar entitled “ProME Project: System Demonstration and Prospects for Continuation” of the Predictive Modeling of the COVID-19 Epidemic series organized by The Digital ...

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Date published: 26 April 2021
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