Table 3 The testing results of spatial stratified heterogeneity for each disease.

From: Multivariate time series analysis on the dynamic relationship between Class B notifiable diseases and gross domestic product (GDP) in China

Disease

F

f 1

f 2

lambda

cutoff point

P

Bacterial and amoebic dysentery

3.151833

2

28

0.351702

3.9048

>0.05

Epidemic encephalitis B

0.942817

2

28

0.456857

4.0651

>0.05

Epidemic hemorrhagic fever

0.142923

2

28

0.054094

3.4302

>0.05

Gonorrhoea

0.517519

2

28

0.559956

4.2188

>0.05

Malaria

0.229567

2

28

0.048982

3.4217

>0.05

Pertussis

3.138548

2

28

0.599739

4.2772

>0.05

Rabies

2.768148

2

27

0.580805

4.2672

>0.05

Scarlet fever

2.535921

2

28

0.810873

4.5799

>0.05

Syphilis

1.584857

2

20

1.73419

6.0807

>0.05

Typhoid fever

0.461945

2

20

2.97123

7.6324

>0.05

Virus hepatitis

0.817709

2

28

0.180542

3.6358

>0.05

  1. *The significance level α was set to be 0.05 in advance. The F-statistics (column 2) was constructed based on the q-statistics, which followed a non-central F-distribution, with first and second degree of freedom f 1 (column 3) and f 2 (column 4), and noncentrality parameter lambda (column 5). Column 6 listed the 95% cutoff point, and by comparing it with the F statistics, it could be inferred whether P > α or not (column 7).
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