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Table 1 Model performance using dengue number of different provinces as the predictor

From: Does Bangkok have a central role in the dengue dynamics of Thailand?

Province

AIC

Adj R2

Nakhon Ratchasima

589260.0

0.902

Sisaket

604370.2

0.866

Krabi

605194.3

0.776

Amnat Charoen

608963.5

0.851

Trat

614040.3

0.806

Prachin Buri

616421.4

0.872

Chanthaburi

621073.7

0.866

Rayong

627945.1

0.816

Ubon Ratchathani

629321.6

0.878

Chonburi

632763.4

0.859

Chaiyaphum

635303.7

0.842

Surin

636514.6

0.878

Sa Kaeo

644505.4

0.871

Buriram

647540.0

0.880

Pathum Thani

648675.8

0.883

Yasothon

650042.4

0.759

Loei

652182.9

0.769

Phang Nga

652279.8

0.799

Tak

653124.4

0.839

Saraburi

654334.2

0.831

Lopburi

655296.9

0.781

Lamphun

656718.1

0.827

Roi Et

658029.5

0.886

Chiang Mai

658371.0

0.827

Songkhla

660226.7

0.755

Nakhon Sawan

661585.7

0.871

Nakhon Phanom

661806.0

0.690

Mukdahan

663927.5

0.751

Phetchabun

664943.5

0.797

Phitsanulok

665121.1

0.886

Chainat

665735.7

0.769

Bangkok

667216.0

0.854

Uthai Thani

667821.3

0.821

Prachuap Khiri Khan

669487.2

0.801

Phuket

669929.6

0.808

Chachoengsao

672601.9

0.894

Udon Thani

672749.6

0.842

Khon Kaen

673944.0

0.897

Lampang

675347.7

0.764

Nakhon Pathom

675757.4

0.772

Kanchanaburi

676427.5

0.800

Trang

676589.4

0.689

Nong Bua Lamphu

677185.4

0.742

Maha Sarakham

677488.0

0.877

Samut Prakan

677599.0

0.832

Nakhon Nayok

678320.3

0.786

Phra Nakhon Si Ayatthaya

683286.5

0.872

Sakon Nakhon

684670.9

0.732

Nong Khai

688477.6

0.767

Ang Thong

689019.7

0.864

Surat Thani

690567.2

0.782

Chumphon

691803.1

0.720

Phrae

694140.0

0.771

Phayao

694980.6

0.752

Nakhon Si Thammarat

694986.5

0.754

Samut Sakhon

695688.3

0.893

Ratchaburi

697378.2

0.740

Sing Buri

699657.9

0.701

Nonthaburi

702054.9

0.842

Ranong

702380.7

0.724

Sukhothai

702870.5

0.847

Satun

704065.9

0.704

Samut Songkhram

705099.0

0.784

Chiang Rai

708097.7

0.726

Suphan Buri

710100.6

0.813

Phatthalung

711603.4

0.703

Mae Hong Son

711795.2

0.709

Narathiwat

712064.5

0.767

Kalasin

713185.1

0.851

Kamphaeng Phet

713376.7

0.776

Phetchaburi

715101.4

0.812

Uttaradit

715255.0

0.765

Yala

720502.4

0.712

Nan

725315.6

0.725

Pattani

726859.0

0.751

Phichit

727557.6

0.779

  1. Note: A lower AIC value or/and a greater R2 value indicates a better model performance
  2. Abbreviation: AIC, Akaikeʼs information criterion value; Adj R2, adjusted R2