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Table 1 Correlations between detection of respiratory viruses, antibiotic prescriptions, and meteorological parameters with detection of bacteria

From: Seasonality of respiratory viruses and bacterial pathogens

Variablesa Lag (months) Odds ratio 95% C.I. Adjusted R2 P
C. difficile
 Antibiotic prescriptions 3 1.24 (1.07–1.43) 0.420 0.006
MRSA
 Respiratory virus 10 1.04 (1.01–1.06) 0.433 0.003
 Antibiotic prescriptions 7 1.69 (1.21–2.35) 0.210 0.003
Gram-negative bacteria
 Temperature 2 1.69 (1.20–2.39) 0.131 0.004
S. pneumoniae
 Respiratory virus 0 1.01 (1.00–1.01) 0.270 0.015
  1. aCross correlations between detection of respiratory viruses, antibiotic prescriptions filled, and meteorological parameters (temperature and precipitation)-specific time series regression models with detection of Clostridioides difficile in stool specimens, as well as methicillin-resistant Staphylococcus aureus (MRSA), gram-negative bacteria, and Streptococcus pneumoniae detection in clinical isolates per month