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Table 1 Results of Spearman’s coefficient of rank correlation for time-lag effects, coefficient value, importance of independent variables

From: The time series seasonal patterns of dengue fever and associated weather variables in Bangkok (2003-2017)

Climate variableTime-LagMPRANN
  CorrelationCoefficientImportanceNormalized
   (× 10−3) Importance (%)
Relative Humidity (%)00.224NA0.22868.1
 10.380**9.1670.06968.1
 20.388**1.7350.09391.6
 30.268**-1.1680.05654.8
Rainfall (mm)00.125NA0.16282.8
 10.373**1.3330.08785.9
 20.396**0.6510.102100
 30.245*0.2000.08381.7
Temperature (C )0-0.150NA-0.09662.2
 1-0.077-71.8010.06968.3
 20.14411.6060.07977.9
 30.271*5.8690.05958.2
  1. The correlation of variables with intercept 1.11 × 10−3 and coefficient for previous case is 0.443 × 10−3. Spearman rank correlation and Pearson correlation analyses were performed with temperature and rainfall respectively.
  2. *: p-value < 0.05, **: p-value < 0.01