Publications by authors named "M I Semeniuk"

We employ pDyn (derived from "pandemics dynamics"), an agent-based epidemiological model, to forecast the fourth wave of the SARS-CoV-2 epidemic, primarily driven by the Delta variant, in Polish society. The model captures spatiotemporal dynamics of the epidemic spread, predicting disease-related states based on pathogen properties and behavioral factors. We assess pDyn's validity, encompassing pathogen variant succession, immunization level, and the proportion of vaccinated among confirmed cases.

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Objective: This study explores the presence and prevalence of working Rangifer tarandus tarandus (domestic reindeer) through entheseal changes present in Rangifer tarandus phalanges at the Sámi habitation sites of Juikenttä and Nukkumajoki, located in Finland and dating from the 14th to the 18th centuries.

Materials: Modern samples (n = 23 phalanges, Rangifer tarandus fennicus; n = 60 phalanges, Rangifer tarandus tarandus non-working; n = 72 phalanges, Rangifer tarandus tarandus working) with known life histories. Archaeological samples (n = 22 phalanges, Juikenttä; n = 118 phalanges, Nukkumajoki).

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Background: Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predictive performance of such forecasts if multiple models are combined into an ensemble. Here, we report on the performance of ensembles in predicting COVID-19 cases and deaths across Europe between 08 March 2021 and 07 March 2022.

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Background: The new classification of endometrial carcinoma (EC) requires molecular interpretation of somatic polymerase epsilon (POLE) exonuclease domain mutations. The identification of pathogenic mutations within the POLE gene defines the important subtype of ultramutated tumours ("POLE-ultramutated") with specified prognostic and predictive utility. POLE somatic mutations are present in 7-12% of ECs, usually high-grade tumours with aggressive appearance.

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Breast and ovarian cancers are among the most common malignancies in the female population, with approximately 5-10% of cases being hereditary. and with other homologous recombination genes are the most tested genes in hereditary breast and ovarian cancer (HBOC) patients. As next-generation sequencing (NGS) has become a standard and popular technique, such as for HBOC, it has greatly simplified and accelerated molecular diagnosis of cancer.

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