Dr. Franciszek Rakowski

Email

ICM Epidemiological Model

spatially and contextually resolving

The ICM Epidemiological Model describes the development of the COVID-19 epidemic in Poland. It is capable of forecasting potential paths of further epidemic development, as well as simulating various scenarios and effects introduced by dynamically applied administrative restrictions.
We provide the results of short time predictions as well as possible variants of the spread of the epidemic in longer time scales assuming appropriate restrictions or parameters of the disease.
The main idea of ​​the model is to utilize the possibly full representation of the social structure of the country to the level of individual people residing in Poland and their contacts. This approach offers potentially great opportunities, but it is also associated with enormous analytical and programming work and a constant struggle to obtain the data needed to construct and calibrate the model. However, we already have some practice in this.

Our model is spatially and contextually resolving. This means that we can follow the spreading of the epidemic on a geographic grid at a resolution of 1 km2 and that the physical contacts through which the virus is transmitted take place in various types of places characteristic of our lives. Currently, we have defined separate categories: households, workplaces, kindergartens, schools, colleges, travel, and random street meetings.

The course of the disease that each virtual inhabitant undergoes in our model corresponds to the typical course of the COVID-19 disease. However, the key parameters of the model, i.e. the baseline virus transmissibility and our tendency to leave home with mild symptoms, are calibrated, in Bayesian fashion, to the actual course of the epidemic.

View Current forecast

Simulation of the spread of COVID-19 in Poland

The first version of the ICM Epidemiological Model was created in 2008-2010, published in scientific articles. As a result, we now have a model that works at nationwide level, it reflects well the actual epidemiological situation and has great development potential to study detailed effects on the dynamics of epidemics.

Model data visualization in the Visnow platform

Distribution of agents on Warsaw territory with assignment to address points
Agents commuting to work
Agents' commuting to work, zoom (Warsaw, Lodz...)
Fragment of visualisation of agents' normalised access to public services
Visualization showing an error in the data

Model data visualization in the Visnow platform

Distribution of agents on Warsaw territory with assignment to address points
Agents commuting to work
Agents' commuting to work, zoom (Warsaw, Lodz...)
Fragment of visualisation of agents' normalised access to public services
Visualization showing an error in the data
Anlyzes and scenarios

Papers

Partners

The ICM team cooperates on an ongoing basis with the Minister of Health and the Department of Analyzes and Strategies of the Ministry of Health and the Government Center for Security (RCB). We are a member of the COVID-19 epidemic monitoring and forecasting team appointed by the Minister of Health. It is with great satisfaction that we cooperate with other teams modeling the COVID-19 epidemic in Poland: the MOCOS group from the Wrocław University of Technology, the team of prof. A. Gambin from MiMUW, and modeling teams from PZH (prof. M. Rosińska) and Ministry of Health.

Papers

Partners

The ICM team cooperates on an ongoing basis with the Minister of Health and the Department of Analyzes and Strategies of the Ministry of Health and the Government Center for Security (RCB). We are a member of the COVID-19 epidemic monitoring and forecasting team appointed by the Minister of Health. It is with great satisfaction that we cooperate with other teams modeling the COVID-19 epidemic in Poland: the MOCOS group from the Wrocław University of Technology, the team of prof. A. Gambin from MiMUW, and modeling teams from PZH (prof. M. Rosińska) and Ministry of Health.