🎯 Purpose
Analyze the relationship between air pollution (PM₂.₅, NO₂, O₃, etc.) and epidemiological incidence rates. Explore delayed effects (lag), detect extreme incidence peaks, and visualize seasonal trends.
📈 Correlation & p-values
Pearson's r + significance. p < 0.05 indicates association.
⚠️ Asterisks (*) indicate statistical significance (p < 0.05 = *, p < 0.01 = **, p < 0.001 = ***). They do NOT measure the strength of association.
⚠️ Peak detection
Threshold = mean + 2×standard deviation.
🩺 Epidemiological Risk
Computes Relative Risk (RR) and Attributable Fraction (AR%) with 95% CI and p-values.
📡 Data sources & acknowledgments
Respiratory infection data obtained from SIVIC server (Generalitat de Catalunya).
Air pollution data obtained from XPVCA server (Generalitat de Catalunya).
Meteorological data obtained from Meteocat (Generalitat de Catalunya).
👨⚕️ Author: Dr. Francisco Pérez Garcia — Head of Technology at Pompeu Fabra High School and Professor of Pharmacology at University of Barcelona.