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Table 2 Standard deviation of θit calculated from posterior samplers for each area over the time period of the models

From: Towards integrated surveillance of zoonoses: spatiotemporal joint modeling of rodent population data and human tularemia cases in Finland

Health district

Binary

Categorical

Only Human

With contextual effect

Without contextual effect

With contextual effect

Without contextual effect

Southwest Finland

1.0216

1.0193

1.1402

1.1569

1.3604

Satakunta

3.6330

3.6124

3.5493

3.5371

3.6365

Kanta-Häme

0.7336

0.7354

0.7632

0.7689

1.0398

Pirkanmaa

3.2779

3.2862

3.2114

3.2071

3.4309

Päijät-Häme

0.9032

0.9011

0.9682

1.0048

1.0475

Kymenlaakso

2.4761

2.4859

2.5092

2.4819

2.7240

South Karelia

0.5381

0.5268

0.5841

0.6060

0.6480

Southern Savonia

0.7490

0.7518

0.7448

0.7722

0.8808

Eastern Savonia

0.7536

0.7551

0.7024

0.6833

0.7279

North Karelia

0.5753

0.5695

0.5475

0.5732

0.5982

Northern Savonia

1.5263

1.5273

1.4859

1.5119

1.6492

Central Finland

5.5499

5.5361

5.5562

5.6234

6.0488

South Bothnia

4.7209

4.7507

4.7506

4.7505

4.7708

Vaasa

2.1997

2.2187

2.2057

2.1912

2.1572

Central Bothnia

3.2251

3.2411

3.2267

3.1927

3.1619

North Bothnia

7.7036

7.6829

7.6786

7.6660

7.5354

Kainuu

0.1984

0.1957

0.2255

0.2468

0.2596

Länsi-Pohja

0.7437

0.7415

0.7377

0.7399

0.6897

Lapland

0.4929

0.4905

0.4979

0.5332

0.6323

Helsinki and Uusimaa

3.3256

3.3243

3.3982

3.4146

3.8419

Average over all areas

2.2174

2.2176

2.2242

2.2331

2.3421