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Table 2 Coefficient estimates from the endemic-epidemic model

From: Spatiotemporal dynamics and potential ecological drivers of acute respiratory infectious diseases: an example of scarlet fever in Sichuan Province

Parameter

RR

95%CI

P value

Epidemic within the city (autoregressive)

 Intercept

0.1588

(0.0034, 7.4853)

–

 Density

0.8162

(0.5192, 1.2831)

0.379

 School holidays

0.4712

(0.2776, 0.7999)

< 0.001

 GDP

1.6331

(0.9146, 2.9160)

0.097

 number of health institutions

0.8328

(0.2562, 2.7073)

0.761

 number of kindergartens

1.0954

(0.4324, 2.7752)

0.848

 number of primary schools

0.7951

(0.3146, 2.0093)

0.628

Epidemic among cities (spatiotemporal)

 Intercept

0.0024

(0.0001, 2.5915)

–

 Density

1.1721

(0.6524, 2.1058)

0.595

 GDP

2.6898

(1.1516, 6.2822)

0.022

 Passenger-kilometers of highways

0.7528

(0.4971, 1.1400)

0.180

Endemic

 Intercept

0.9965

(0.9929, 1.0001)

–

 School holidays

0.5299

(0.3883, 0.7233)

< 0.001

 number of kindergartens

2.1440

(0.6288, 7.3111)

0.223

 number of primary schools

0.4996

(0.1780, 1.4021)

0.188

  1. Statistically significant covariates are in bold