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Table 2 Pearson correlation (r) between the counts of three types of illnesses and predictive variables (Data in December, January and February were excluded); p represents p-value and n represents the sample size. Bolded results represent significant correlations at the level of 0.001

From: Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts

Variables   Gastrointestinal Illness Respiratory illness Dermal illness
School days (yes/no) r 0.166 0.537 −0.461
p < 0.001 < 0.001 < 0.001
n 1100 1100 1100
Holiday (yes/no) r − 0.028 0.052 0.087
p 0.348 0.087 0.004
n 1100 1100 1100
O3 r −0.056 −0.218 0.357
p 0.066 < 0.001 < 0.001
n 1100 1100 1100
SO2 r 0.030 0.095 −0.135
p 0.320 0.002 < 0.001
n 1100 1100 1100
NO2 r 0.112 0.045 −0.158
p < 0.001 0.129 < 0.001
n 1100 1100 1100
CO r 0.052 0.219 −0.135
p 0.084 < 0.001 < 0.001
n 1100 1100 1100
PM2.5 r −0.176 −0.182 0.264
p < 0.001 < 0.001 < 0.001
n 1100 1100 1100
Daily precipitation r 0.001 −0.053 −0.081
p 0.971 0.080 0.007
n 1100 1100 1100
Daily mean temperature r −0.214 −0.450 0.561
p < 0.001 < 0.001 < 0.001
n 1100 1100 1100
Cyanobacteria concentration (maximum from 5 pixels) r 0.150 0.152 −0.200
p 0.013 0.012 0.001
n 273 273 273