Table 1 Correlation coefficients of variables using correlation analysis between prevalence and temperature or air quality parameters. Average temperature, humidity, precipitation, and ozone showed positive correlation, daily temperature difference, average wind speed, sulfur dioxide, nitrogen dioxide, carbon monoxide and PM10 showed negative correlation.

From: Correlation between air pollution and prevalence of conjunctivitis in South Korea using analysis of public big data

 

1

2

3

4

5

6

7

8

9

10

11

1. Regional Prevalence

 

0.52

-0.11

0.13

0.29

0.04

-0.28

-0.37

0.43

-0.56

-0.26

2. Temperature

0.52

 

-0.26

0.61

0.61

-0.07

-0.33

-0.64

0.54

-0.74

-0.58

3. Daily temperature difference

-0.11

-0.26

 

-0.50

-0.43

-0.45

-0.01

0.22

0.16

0.23

0.48

4. Humidity

0.13

0.61

-0.50

 

0.59

-0.16

-0.27

-0.55

0.05

-0.39

-0.58

5. Precipitation

0.29

0.61

-0.43

0.59

 

0.01

-0.25

-0.49

0.21

-0.48

-0.49

6. Wind speed

0.04

-0.07

-0.45

-0.16

0.01

 

0.25

-0.04

0.21

-0.13

0.07

7. SO2

-0.28

-0.33

-0.01

-0.27

-0.25

0.25

 

0.51

-0.18

0.50

0.43

8. NO2

-0.37

-0.64

0.22

-0.55

-0.49

-0.04

0.51

 

-0.55

0.67

0.55

9. O3

0.43

0.54

0.16

0.05

0.21

0.21

-0.18

-0.55

 

-0.55

0.00

10. CO

-0.56

-0.74

0.23

-0.39

-0.48

-0.13

0.50

0.67

-0.55

 

0.53

11. PM10

-0.26

-0.58

0.48

-0.58

-0.49

0.07

0.43

0.55

0.00

0.53

 
  1. SO2, sulfur dioxide; NO2, nitrogen dioxide; O3, Ozone; CO, carbon monoxide; PM10, levels of particulate matter with aerodynamic diameter < 10 μm.
  2. Significant values are in bold.