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Table 1 Evaluation measures of the all cluster detection methods under different scenarios

From: Evaluation and comparison of spatial cluster detection methods for improved decision making of disease surveillance: a case study of national dengue surveillance in Thailand

Scenario

Detection method

Evaluation metric

Accuracy

Sensitivity

Specificity

PPV

NPV

1

Getis Ord \({G}_{i}^{*}\)

0.95039

-

0.95039

-

1

Local Moran1

0.976169

-

0.976169

-

1

Local Moran2

0.951429

-

0.951429

-

1

SaTScan

0.992727

-

0.992727

-

1

BESAG (q = 1)

0.970584

-

0.970584

-

0.995

BYM (q = 1)

0.996429

-

0.996429

-

1

2

Getis Ord \({G}_{i}^{*}\)

0.970519

0.891905

1

1

0.96111

Local Moran1

0.97013

0.890476

1

1

0.960633

Local Moran2

0.967662

0.890476

0.996607

0.990401

0.9605

SaTScan

0.999351

0.997857

0.999911

0.999773

0.999211

BESAG (q = 1)

0.962792

1

0.948839

0.885957

1

BYM (q = 1)

0.964091

1

0.950625

0.889646

1

3

Getis Ord \({G}_{i}^{*}\)

0.911234

0.745789

0.965431

0.875372

0.920933

Local Moran1

0.936753

0.745789

0.99931

0.997508

0.923417

Local Moran2

0.933831

0.745789

0.995431

0.982776

0.923133

SaTScan

0.973766

0.998947

0.965517

0.904667

0.999649

BESAG (q = 1)

0.945065

1

0.927069

0.821923

1

BYM (q = 1)

0.950714

0.999737

0.934655

0.838143

0.999909

4

Getis Ord \({G}_{i}^{*}\)

0.894675

0.0425

0.9174

0.013774

0.972912

Local Moran1

0.942532

0

0.967667

0

0.97317

Local Moran2

0.926818

0.06

0.949933

0.043964

0.974267

SaTScan

0.98474

0.9525

0.9856

0.701778

0.99875

BESAG (q = 1)

0.91013

0.875

0.911067

0.337468

0.99675

BYM (q = 1)

0.981883

1

0.9814

0.672857

1

5

Getis Ord \({G}_{i}^{*}\)

0.876948

0.035

0.961143

0.070917

0.908764

Local Moran1

0.901364

0

0.9915

0

0.908372

Local Moran2

0.903052

0.086429

0.984714

0.320417

0.915155

SaTScan

0.990519

0.905714

0.999

0.990853

0.990706

BESAG (q = 1)

0.953052

0.987143

0.949643

0.681104

0.998668

BYM (q = 1)

0.95961

0.994286

0.956143

0.71302

0.999411

6

Getis Ord \({G}_{i}^{*}\)

0.722013

0.341552

0.951875

0.807933

0.70567

Local Moran1

0.751558

0.340345

1

1

0.715452

Local Moran2

0.765

0.376897

0.999479

0.997831

0.726975

SaTScan

0.954481

0.961552

0.950208

0.921588

0.976534

BESAG (q = 1)

0.951104

1

0.921563

0.887697

1

BYM (q = 1)

0.959091

0.999828

0.934479

0.904844

0.999894

7

Getis Ord \({G}_{i}^{*}\)

0.464416

0.161771

0.965345

0.888718

0.410539

Local Moran1

0.475584

0.15875

1

1

0.418321

Local Moran2

0.505649

0.207083

0.999828

0.9995

0.43277

SaTScan

0.818377

0.812813

0.827586

0.891381

0.752451

BESAG (q = 1)

0.954221

1

0.878448

0.932773

1

BYM (q = 1)

0.960714

1

0.89569

0.941899

1

Overall

Getis Ord \({G}_{i}^{*}\)

0.806634

0.369753

0.960199

0.609452

0.813321

Local Moran1

0.829654

0.355893

0.99308

0.666251

0.816561

Local Moran2

0.833669

0.394446

0.987665

0.722482

0.822133

SaTScan

0.953539

0.938231

0.954637

0.901673

0.952883

BESAG (q = 1)

0.946061

0.977024

0.922771

0.75782

0.999236

BYM (q = 1)

0.962684

0.998975

0.942165

0.826735

0.999869