Skip to main content

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.