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. 2014 Aug 29;11(9):8996–9007. doi: 10.3390/ijerph110908996

Table 2.

Fitted regression model * for the effect of temperature and relative humidity on the incidence of the skin and soft-tissue infections (SSTIs), skin and soft-tissue infections caused by S. aureus (SA-SSTIs) and methicillin-resistant S. aureus (MRSA).

Weekly Average Maximum Temperature °C Weekly Average Minimum Temperature °C Weekly Average Relative Humidity in %
Cut-off ** Below 33 Above 33 Below 24 Above 24 Below 78 Above 78
Outcomes Coef. 95% CI p Coef. 95% CI p Coef. 95% CI p Coef. 95% CI p Coef. 95% CI p Coef. 95% CI p
SSTIs −0.20 −0.97 to 0.56 0.600 0.60 −0.43 to 1.62 0.253 −0.48 −1.19 to 0.22 0.180 0.90 0.04 to 1.76 0.040 0.24 0.03 to 0.45 0.025 −0.25 −0.50 to 0.016 0.065
SA-SSTIs −0.56 −1.14 to 0.01 0.056 0.69 −0.02 to 1.41 0.058 0.03 −0.69 to 0.77 0.919 −0.12 −0.95 to 0.71 0.781 0.10 −0.06 to 0.27 0.228 −0.17 −0.37 to 0.02 0.078
MRSA −0.42 −0.86 to 0.03 0.066 0.57 0.01 to 1.12 0.044 0.03 −0.47 to 0.54 0.895 −0.11 −0.68 to 0.48 0.718 0.10 −0.02 to 0.22 0.097 −0.18 −0.32 to −0.04 0.012

* Regression models with Newey-West standard errors and coefficients estimated by ordinary least squares (OLS) regression, assuming a heteroskedastic error structure and a maximum lag 2. p-values less than 0.05 were considered as significant and p-values between 0.05 and 0.10 as of “borderline significance”; ** The cut-off values for temperature and relative humidity were chosen from the graphs of the cubic splines. Coef. = coefficient, negative sign in the coefficient indicates decreasing number of cases and positive sign indicates increasing number of cases.