Acute Stroke Care during COVID-19: National Data

(1) Background: The pandemic of COVID-19 and subsequent lockdown strategies had a profound impact on many aspects of everyday life. During this time the world faced the unprecedented crisis of healthcare disrupting timely care delivery. This study was designed to evaluate the impact of the pandemic on the acute treatment of stroke in Poland. (2) Methods: The national data on hospitalizations with stroke as a primary diagnosis were obtained from the National Health Fund of Poland. Poisson regression was used to determine the significance of the change in hospital admissions. The differences between proportions were analyzed using the “N-1” Chi-squared test. (3) Results: During the COVID-19 period, the number of hospitalizations dropped by 8.28% with a monthly nadir of 22.02 in April. On a monthly scale during 2020, the greatest decrease was 22.02%. The thrombolysis ratio was also affected, with the highest monthly drop of 15.51% in November. The overall number of in-hospital deaths did not change. (4) Conclusions: The pandemic caused a serious disruption of the acute care of stroke. There is no evidence that the quality of care was seriously compromised

Socio-cognitive optimization of time-delay control problems using evolutionary metaheuristics

Metaheuristics are universal optimization algorithms which should be used for solving difficult problems, unsolvable by classic approaches. In this paper we aim at constructing novel socio-cognitive metaheuristic based on castes, and apply several versions of this algorithm to optimization of time-delay system model. Besides giving the background and the details of the proposed algorithms we apply them to optimization of selected variants of the problem and discuss the results. © 2022 IEEE.978-1-5090-6008-5/17/$31.00; Grantová Agentura České Republiky, GA ČR: GF21-45465L; Narodowe Centrum Nauki, NCN: /35/O/ST6/00570, 2020/39/I/ST7/02285; Ministerstwo Edukacji i Nauki, MNiS