Temperature and particulate matter as environmental factors associated with seasonality of influenza incidence – an approach using Earth observation-based modeling in a health insurance cohort study from Baden-Württemberg (Germany)

Table 2 Matrix with Pearson’s correlation coefficients for environmental variables

	PM_2.5	NO₂	Tempe-rature	Precipi-tation	O₃	PM₁₀	UV-Radiation	Vapor Pressure
PM_2.5		0.61	-0.59	-0.45	-0.42	0.86	-0.47	-0.61
NO₂	0.61		-0.59	-0.32	-0.78	0.64	-0.7	-0.58
Temperature	-0.59	-0.59		0.05	0.73	-0.56	0.86	0.98
Precipitation	-0.45	-0.32	0.05		0.08	-0.41	0.04	0.14
O₃	-0.42	-0.78	0.73	0.08		-0.44	0.93	0.66
PM10	0.86	0.64	-0.56	-0.41	-0.44		-0.43	-0.57
UV Radiation	-0.47	-0.7	0.86	0.04	0.93	-0.43		0.79
Vapor Pressure	-0.61	-0.58	0.98	0.14	0.66	-0.57	0.79

Correlation analyses were performed with entering one value per postcode-quarter aggregate window. Values for which the squared correlation coefficient was > 0.5 have been highlighted in red, and the set of variables used for statistical modeling is shaded

ISSN: 1476-069X