Journal of Environmental and Public Health / 2010 / Article / Tab 1 / Research Article
Statistical Analysis Aiming at Predicting Respiratory Tract Disease Hospital Admissions from Environmental Variables in the City of São Paulo Table 1 Correlation between air pollutants (PM10 , SO2 , CO, NO2 , and O3 ), meteorological variables (air temperature, relative humidity, pressure, and precipitation), and comfort indices (ET and ETw) and URI, LRI, and IP. The values in bold have higher statistical significance and correlation coefficients.
Independent variables lag URI r(p) LAG LRI R(p) LAG IP R(p) PM10 lag0 0.204
(
𝑃
<
.
0
0
1
)
lag0 0.175
(
𝑃
<
.
0
0
1
)
lag0 0.321
(
𝑃
<
.
0
0
1
)
SO2 lag0 0.313
(
𝑃
<
.
0
0
1
)
lag0 0.154
(
𝑃
<
.
0
0
1
)
lag0 0.354
(
𝑃
<
.
0
0
1
)
CO lag0 0.274
(
𝑃
<
.
0
0
1
)
lag5
−
0.114
(
𝑃
=
.
0
0
1
)
lag0 0.181
(
𝑃
<
.
0
0
1
)
NO2 lag0 0.266
(
𝑃
<
.
0
0
1
)
lag0 0.025
(
𝑃
>
.
0
0
5
)
lag0 0.188
(
𝑃
<
.
0
0
1
)
O3 lag0
−
0.105
(
𝑃
<
.
0
0
1
)
lag3 0.093
(
𝑃
=
.
0
0
1
)
lag7
−
0.097
(
𝑃
<
.
0
0
3
)
ET1 lag4
−
0.129
(
𝑃
<
.
0
0
1
)
lag5
−
0.133
(
𝑃
=
.
0
0
1
)
lag3
−
0.267
(
𝑃
<
.
0
0
1
)
ET2 lag4
−
0.129
(
𝑃
<
.
0
0
1
)
lag5
−
0.131
(
𝑃
=
.
0
0
1
)
lag3
−
0.263
(
𝑃
<
.
0
0
1
)
ET3 lag4
−
0.131
(
𝑃
<
.
0
0
1
)
lag4
−
0.185
(
𝑃
<
.
0
0
1
)
lag3
−
0.392
(
𝑃
<
.
0
0
1
)
ET4 lag6
−
0.134
(
𝑃
<
.
0
0
1
)
lag3
−
0.186
(
𝑃
<
.
0
0
1
)
lag2
−
0.445
(
𝑃
<
.
0
0
1
)
ET5 lag6
−
0.128
(
𝑃
<
.
0
0
1
)
lag3
−
0.185
(
𝑃
<
.
0
0
1
)
lag2
−
0.435
(
𝑃
<
.
0
0
1
)
ETw1 lag4
−
0.135
(
𝑃
<
.
0
0
1
)
lag5
−
0.135
(
𝑃
=
.
0
0
1
)
lag3
−
0.287
(
𝑃
<
.
0
0
1
)
ETw2 lag4
−
0.129
(
𝑃
<
.
0
0
1
)
lag5
−
0.118
(
𝑃
=
.
0
0
1
)
lag3
−
0.248
(
𝑃
<
.
0
0
1
)
ETw3 lag4
−
0.134
(
𝑃
<
.
0
0
1
)
lag3
−
0.182
(
𝑃
<
.
0
0
1
)
lag3
−
0.396
(
𝑃
<
.
0
0
1
)
ETw4 lag4
−
0.136
(
𝑃
<
.
0
0
1
)
lag3
−
0.187
(
𝑃
<
.
0
0
1
)
lag3
−
0.496
(
𝑃
<
.
0
0
1
)
ETw5 lag4
−
0.134
(
𝑃
<
.
0
0
1
)
lag3
−
0.182
(
𝑃
<
.
0
0
1
)
lag3
−
0.401
(
𝑃
<
.
0
0
1
)
Tmean lag3
−
0.132
(
𝑃
<
.
0
0
1
)
lag5
−
0.185
(
𝑃
<
.
0
0
1
)
lag3
−
0.391
(
𝑃
<
.
0
0
1
)
Tminimum lag3
−
0.134
(
𝑃
<
.
0
0
1
)
lag3
−
0.186
(
𝑃
<
.
0
0
1
)
lag3
−
0.445
(
𝑃
<
.
0
0
1
)
Tmaximum lag4
−
0.129
(
𝑃
<
.
0
0
1
)
lag5
−
0.131
(
𝑃
=
.
0
0
6
)
lag2
−
0.262
(
𝑃
<
.
0
0
1
)
Pressure mean lag3 0.087
(
𝑃
<
.
0
2
8
)
lag2 0.203
(
𝑃
<
.
0
0
1
)
lag3 0.378
(
𝑃
<
.
0
0
1
)
Pressure minimum lag3 0.089
(
𝑃
<
.
0
3
2
)
lag3 0.200
(
𝑃
<
.
0
0
1
)
lag3 0.375
(
𝑃
<
.
0
0
1
)
Pressure maximum lag3 0.084
(
𝑃
<
.
0
3
3
)
lag2 0.207
(
𝑃
<
.
0
0
1
)
lag2 0.385
(
𝑃
<
.
0
0
1
)
RHmean lag3 0.051
(
𝑃
<
.
0
4
2
)
lag1
−
0.115
(
𝑃
=
.
0
0
1
)
lag0
−
0.155
(
𝑃
<
.
0
0
1
)
RHminimum lag5 0.036
(
𝑃
<
.
0
6
5
)
lag1
−
0.145
(
𝑃
<
.
0
0
1
)
lag0
−
0.193
(
𝑃
<
.
0
0
1
)
RHmaximum lag4
−
0.024
(
𝑃
<
.
0
7
4
)
lag1
−
0.099
(
𝑃
=
.
0
0
1
)
lag4
−
0.122
(
𝑃
<
.
0
0
1
)
Precipitation lag3
−
0.057
(
𝑃
<
.
0
3
8
)
lag3
−
0.141
(
𝑃
<
.
0
0
1
)
lag0
−
0.212
(
𝑃
<
.
0
0
1
)
