Forecasting extremely high ischemic stroke incidence using meteorological time serie

• Published in: PloS one Vol. 19; no. 9; p. e0310018
• Main Authors: Babalova, Lucia, Grendar, Marian, Kurca, Egon, Sivak, Stefan, Kantorova, Ema, Mikulova, Katarina, Stastny, Pavel, Fasko, Pavel, Szaboova, Kristina, Kubatka, Peter, Nosal, Slavomir, Mikulik, Robert, Nosal, Vladimir
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 11.09.2024
• Subjects: Accuracy; Aged; Computer and Information Sciences; Cross correlation; Data analysis; Datasets; Diagnosis; Distribution; Earth Sciences; Engineering and Technology; Evaluation; Female; Forecast accuracy; Forecasting; Forecasting - methods; Forecasting models; Generalized linear models; Humans; Humidity; Incidence; Ischemia; Ischemic Stroke - epidemiology; Logistic Models; Male; Medicine and Health Sciences; Meteorological Concepts; Meteorological data; Meteorological parameters; Methods; Mortality; Multivariate analysis; Parameter identification; Patients; People and places; Performance prediction; Physical Sciences; Population studies; Precipitation; Prediction models; Regression analysis; Research and Analysis Methods; Risk factors; Slovakia; Slovakia - epidemiology; Stroke; Stroke (Disease); Temperature; Time series; Weather; Weather conditions; Weather forecasting; Slovakia; Central Europe

The association between weather conditions and stroke incidence has been a subject of interest for several years, yet the findings from various studies remain inconsistent. Additionally, predictive modelling in this context has been infrequent. This study explores the relationship of extremely high...