Table 2 Parameters estimates (and significance testing) associated with the SARIMA models for China, the US and the UK.

From: Predicting seasonal influenza epidemics using cross-hemisphere influenza surveillance data and local internet query data

 

Parameters

Coefficients

Standard error

t

P value

China

AR

0.75

0.10

7.68

0.000

MA

0.52

0.13

4.12

0.000

SAR

0.71

0.32

2.21

0.028

SMA

0.73

0.33

2.21

0.028

Search

0.16

0.04

4.57

0.001

Influenza

0.01

0.01

2.17

0.031

The US

AR

1.65

0.04

40.91

0.000

MA

1.99

0.02

81.24

0.000

SAR

0.04

0.07

0.52

0.602

Search

3.24

0.38

8.44

0.000

Influenza

0.22

0.07

3.12

0.002

The UK

AR

0.95

0.02

54.60

0.000

MA

0.85

0.08

6.13

0.000

SAR

0.27

0.06

4.57

0.001

Search

0.10

0.02

8.47

0.000

Influenza

0.01

0.01

2.33

0.020

  1. AR: autoregressive, MA: moving average, SAR: seasonal autoregressive, SMA: seasonal moving average, Search: local internet search metrics, Influenza: Australian influenza infection.