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Table 1 Maximum and minimum Pearson product-moment cross-correlation coefficients, starting month and lag (number of months that malaria case time series are lagged behind) for which the maximum or minimum occurred, and significance of the regression coefficient for logarithmically transformed rainfall and differenced logarithmically transformed annual malaria case time series (n = 32), corrected for first order auto regressive correlation

From: Temporal correlation between malaria and rainfall in Sri Lanka

District Minimum Maximum
  cc start month (lag) cc start month (lag)
Ampara -0.01 4(3) 0.23 9(1)
Anuradhapura 0.08 4(1) 0.27 9(3)
Badulla -0.09 4(1) 0.30 9(1)
Batticaloa -0.06 9(3) 0.23 4(1)
Colombo -0.05 4(3) 0.25 9(3)
Galle -0.27 4(1) 0.27 9(3)
Gampaha -0.41* 4(3) 0.03 9(3)
Hambantota -0.24 4(3) 0.08 9(3)
Jaffna -0.16 4(3) 0.13 9(1)
Kalutara -0.10 4(3) 0.25 9(2)
Kandy -0.40* 4(3) -0.09 9(3)
Kegalle -0.55** 4(3) -0.13 9(3)
Kilinochchi -0.03 4(2) 0.12 9(1)
Kurunegala -0.32' 4(3) 0.13 9(1)
Mannar -0.08 4(3) 0.06 4(1)
Matale -0.18 4(1) 0.10 9(1)
Matara -0.11 4(2) 0.13 9(2)
Moneragala -0.17 4(3) 0.23 9(1)
Mullaitivu -0.20 9(3) 0.06 4(3)
Nuwara Eliya -0.36* 9(2) -0.23 9(3)
Polonnaruwa -0.22 4(3) 0.17 9(1)
Puttalam -0.14 4(3) 0.18 9(1)
Ratnapura -0.52** 4(3) -0.03 9(1)
Trincomalee -0.30' 9(3) -0.07 4(3)
Vavuniya -0.35' (4)2 -0.26 (4)1
  1. cc = Pearson product moment correlation coefficient, significance of regression coefficient different from zero: ' = P < 0.10,* = P < 0.05, ** = P < 0.01