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Table 3 Comparison of the performance of epidemic detection algorithms for measles and COVID-19 based on performance evaluation indicators

From: Outbreak detection algorithms based on generalized linear model: a review with new practical examples

Algorithms

Disease

Sensitivity

Specificity

Positive Predictive Value

Negative Predictive Value

False Positive Rate

Figures

Original Farrington

Measles

0.78

0.78

0.75

0.81

0.22

Fig. 2

Farrington Flexible

Measles

0.74

0.82

0.77

0.79

0.19

Fig. 3

GLRa Poisson

Measles

0.44

1.00

1.00

0.68

0.00

Fig. 4

Periodic Poisson

Measles

0.48

0.70

0.58

0.61

0.30

Fig. 5

Original Farrington

Covid-19

1.00

0.79

0.38

1.00

0.21

Fig. 6

GLR Poisson

Covid-19

1.00

0.57

0.24

1.00

0.43

Fig. 7

  1. aGeneralized likelihood ratio