Table 1.
Results of the general additive modeling (GAM) explaining the number of cases of leptospirosis per subdistrict in Mahasarakham province using a negative binomial link (theta = 0.267), with approximate significance of smooth terms. Deviance explained = 14%, REML = 2950.7, AIC = 5852 (see Figure 7).
| Terms | edf | Ref.df | Chi Square | p Value |
|---|---|---|---|---|
| S (longitude, latitude) | 17.82 | 29 | 67.44 | <0.0001 |
| Te (month, rainfall) | 12.28 | 24 | 94.43 | <0.0001 |
| Te (month, flood cover) | 3.36 | 20 | 42.89 | <0.0001 |
| S (population) | 3.98 | 9 | 72.42 | <0.0001 |
| S (pig number) | 0.87 | 9 | 5.99 | 0.006 |
| S (cow number) | 1.26 | 9 | 3.44 | 0.037 |
| S (average slope) | 0.68 | 9 | 2.11 | 0.043 |
The best GAM model selected on the basis of AIC value included all initial variables except the number of buffaloes (Table 1, Figure 7): gam(leptospirosis cases per sub-district) ~ s(longitude, latitude) + te(month, rainfall) + te(month, flood cover) +s(number of people in sub-district)+s(number of pigs) + s( number of cattle) + s(average slope).