Seasonality of respiratory viruses and bacterial pathogens

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

Variables^a	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

^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

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