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Table 1 Cross correlation between monthly malaria incidence and climate factors in Hainan, China

From: Spatiotemporal distribution of malaria and the association between its epidemic and climate factors in Hainan, China

Lag

MT

 

MaxT

 

MinT

 

R

 

MH

 

CCF

SE

 

CCF

SE

 

CCF

SE

 

CCF

SE

 

CCF

SE

-6

-0.53

0.08

 

-0.47

0.08

 

-0.38

0.08

 

-0.54

0.08

 

0.02

0.08

-5

-0.30

0.08

 

-0.25

0.08

 

-0.20

0.08

 

-0.47

0.08

 

-0.02

0.08

-4

0.04

0.08

 

0.04

0.08

 

0.09

0.08

 

-0.31

0.08

 

-0.03

0.08

-3

0.34

0.08

 

0.28

0.08

 

0.34

0.08

 

-0.06

0.08

 

-0.01

0.08

-2

0.57

0.08

 

0.45

0.08

 

0.52

0.08

 

0.19

0.08

 

0.03

0.08

-1

0.65

0.08

 

0.48

0.08

 

0.59

0.08

 

0.36

0.08

 

0.09

0.08

0

0.55

0.08

 

0.37

0.08

 

0.49

0.08

 

0.42

0.08

 

0.08

0.08

1

0.30

0.08

 

0.15

0.08

 

0.26

0.08

 

0.35

0.08

 

0.02

0.08

2

-0.03

0.08

 

-0.12

0.08

 

-0.01

0.08

 

0.16

0.08

 

-0.04

0.08

3

-0.36

0.08

 

-0.38

0.08

 

-0.28

0.08

 

-0.10

0.08

 

-0.10

0.08

4

-0.60

0.08

 

-0.55

0.08

 

-0.46

0.08

 

-0.38

0.08

 

-0.16

0.08

5

-0.66

0.08

 

-0.57

0.08

 

-0.53

0.08

 

-0.49

0.08

 

-0.10

0.08

6

-0.56

0.08

 

-0.46

0.08

 

-0.45

0.08

 

-0.56

0.08

 

-0.13

0.08

  1. CCF: cross correlation coefficient. SE: standard error. Lag: the number of lagged months. The cross-correlation of each lagged month between the monthly malaria incidence and climate factors could be identified if the CCF was larger than two times the SE.