Table 1.
Model performance using dengue number of different provinces as the predictor
| 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 |
Note: A lower AIC value or/and a greater R2 value indicates a better model performance
Abbreviation: AIC, Akaikeʼs information criterion value; Adj R2, adjusted R2