Forecasting ESKAPE infections through a time-varying auto-adaptive algorithm using laboratory-based surveillance data - Ballarin, A; Posteraro, Brunella; Demartis, G; Gervasi, S; Panzarella, F; Torelli, Riccardo; Paroni Sterbini, Francesco; Morandotti, Grazia Angela; Posteraro, P; Ricciardi, Gualtiero; Gervasi Vidal, Ka; Sanguinetti, Maurizio (BMC Infectious Diseases, 2014)
Keywords: Algorithms; Anti-Bacterial Agents; Anti-Bacterial Agents - therapeutic use; Antibiotic resistance; Bacterial and fungal diseases; Bacterial diseases; Bacterial Infections; Bacterial Infections - drug therapy; Bacterial Infections - epidemiology; Bacterial Infections - microbiology; Drug resistance; Drug resistance in microorganisms; Drug Resistance, Bacterial; Drug therapy; ESKAPE; Female; Forecasting; Forecasting - methods; Forecasts and trends; Gram-Negative Bacteria; Gram-Negative Bacteria - isolation & purification; Gram-Positive Bacteria; Gram-Positive Bacteria - isolation & purification; Health aspects; Health care; Humans; Infectious Diseases; Internal Medicine; Italy; Italy - epidemiology; Klebsiella pneumoniae; Laboratories; Male; Medical Microbiology; Medicine; Medicine & Public Health; Microbiology; Middle Aged; Models, Statistical; Parasitology; Population Surveillance; Pseudomonas aeruginosa; Research Article; Risk factors; Staphylococcus aureus; Time Factors; Time series; Tropical Medicine; Italy; Rome Italy; ESKAPE infections; Time series analysis; TVA algorithm; Clinical microbiology laboratory data; Forecasting