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. 2010 Jun 25;9:185. doi: 10.1186/1475-2875-9-185

Table 1.

Cross correlation between monthly malaria incidence 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

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.