Critical Gloss to the Judgment of the Court of Appeal in Katowice of 22 June 2022, I ACa 669/21. Adoption of Written Resolutions by the General Assembly of a Housing Cooperative

The author believes that the provisions of Article 36 § 9-13 of the Co-operative Law concerning the possibility of ordering general assemblies to adopt resolutions in writing or using direct communication at a distance are also applicable to housing cooperatives, due to the wording of the provision of Article 1(7) of the Co-operative Law, according to which the provisions of the Co-operative Law are directly applicable to matters not regulated by the Act of Housing Cooperatives. Notwithstanding the above, the SA also seems to have completely ignored (iura novit curia) the wording of the uninterrupted provision of Article 15zzzr of the Act of 2 March 2020 on special solutions related to the prevention, prevention, and eradication of COVID-19, other infectious diseases, and crises caused by them, according to which a declaration of will of a member of a body of a legal person – and thus of the members of a housing cooperative who form a body such as the general assembly of the cooperative – other than the State Treasury or a local government unit, may be made in documentary form (and thus also in writing). Therefore, this provision should also be regar-ded as lex specialis to Article 83 of the Act on Housing Cooperatives. © 2023, Spoldzielczy Instytut Naukowy. All rights reserved.

Agent-based Modeling as a Tool for Predicting the Spatial-temporal Diffusion of the COVID-19 Pandemic

The article presents the original methodology of using agent-based modeling (ABM) for the numerical simulations of the COVID-19 pandemic's development. The proposed solution makes it possible to analyze changes in the number of cases both in space and time. The devised methodology enables considering spatial conditions in terms of population distribution, such as places of work, rest, or residence, and uses multi-agent modeling to consider spatial interactions. Numerical simulations utilize the spatial and demographic data in GIS databases and the GAMA environment that enables the parameterization of the epidemiological model. Testing the developed methodology on a test area also allowed for checking the effects of a potential decrease or increase in social restrictions numerically. The simulations performed show a high correlation between the level of social distancing and the number of COVID-19 cases. © 2021 IEEE.