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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)