Skip to main content

Table 3 Summary statistics of varying (local) coefficients in geographically weighted logistic regression for SFTS cases, Miyazaki

From: Spatial epidemiological determinants of severe fever with thrombocytopenia syndrome in Miyazaki, Japan: a GWLR modeling study

Parameter Minimum 25 percentile Median 75 percentile Maximum
All cases
Intercept 0.0839 0.4698 0.6430 0.8163 1.3150
Altitude (m) −0.0054 −0.0046 −0.0041 −0.0035 − 0.0024
Farmland (%) − 0.0013 − 0.0010 − 0.0010 − 0.0009 −0.0007
Cases by 2016
Intercept 0.2790 0.5964 0.7880 1.0626 1.7268
Altitude (m) −0.0063 −0.0051 −0.0044 − 0.0040 −0.0030
Farmland (%) −0.0018 −0.0014 − 0.0012 −0.0011 − 0.0009
  1. Abbreviations: LR Logistic regression, GWLR Geographically weighted logistic regression, SFTS Severe fever with thrombocytopenia syndrome
  2. All cases represent prediction using all available datasets at the end of 2017
  3. To avoid overly optimistic results, we also predicted 2017 cases using the data at the end of 2016 (Cases by 2016)