Table 5 Pearson’s correlation coefficient(‘r’)matrix of meteorological variables in Anhui, China, 2010–2020.

From: Spatiotemporal dynamics and environmental determinants of scrub typhus in Anhui Province, China, 2010–2020

 

EVP

WIN

GST

PRE

PRS

RHU

SSD

TEM

EVP

1.00

       

WIN

0.10 (p = 0.00)

1.00

      

GST

0.82 (p = 0.00)*

0.06 (p =  0.02)

1.00

     

PRE

0.23 (p = 0.00)

0.17 (p = 0.00)

0.40 (p = 0.00)

1.00

    

PRS

− 0.52 (p = 0.00)

− 0.26 (p = 0.00)

− 0.66 (p = 0.00)

− 0.44 (p = 0.00)

1.00

   

RHU

− 0.08 (p = 0.00)

0.22 (p = 0.00)

0.19 (p = 0.00)

0.48 (p = 0.00)

− 0.2 2(p = 0.00)

1.00

  

SSD

0.62 (p = 0.00)

− 0.02 (p = 0.48)

0.45 (p = 0.00)

− 0.19 (p = 0.00)

− 0.2 4(p = 0.00)

− 0.57 (p = 0.00)

1.00

 

TEM

0.81 (p = 0.00)*

− 0.04 (p = 0.11)

0.99 (p = 0.00)*

0.43 (p = 0.00)

− 0.64 (p = 0.00)

0.21 (p = 0.00)

0.42 (p = 0.00)

1.00

  1. *The variables with a threshold of Pearson’s correlation |r|> 0.7.
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