Table 3.

Association between Legionnaires’ disease hospitalizations and meteorological variables in the most highly weighted models

Model	Precipitation	Soil moisture	Temperature	Runoff	Flood count	Model weight
1	0.26 (0.14, 0.38)	0.49 (0.24, 0.74)		− 0.08 (− 0.16, 0.00)		0.261
2	0.28 (0.16, 0.40)	0.48 (0.23, 0.73)		− 0.07 (− 0.13, − 0.01)	− 0.03 (− 0.11, 0.05)	0.176
3	0.19 (0.01, 0.29)	0.44 (0.20, 0.68)				0.133
4	0.23 (0.13, 0.33)	0.42 (0.17, 0.67)			− 0.04 (− 0.10, 0.02)	0.125
5	0.26 (0.14, 0.38)	0.47 (0.20, 0.74)	− 1.28 (− 6.49, 3.93)	− 0.08 (− 0.16, 0.00)		0.104
6	0.28 (0.16, 0.40)	0.50 (0.23, 0.77)	− 1.27 (− 6.54, 4.00)	− 0.07 (− 0.13, − 0.01)	− 0.04 (− 0.10, 0.02)	0.070
7	0.19 (0.01, 0.29)	0.42 (0.17, 0.67)	− 1.31 (− 6.74, 4.12)			0.053

Effect estimates are the change in monthly hospitalizations associated with a 1-standard deviation increase in the meteorological variables; values in parentheses indicate the 95% confidence interval