Table 7.
Regression analysis for the prevalence of TB per 100,000 population in the fiscal years 2020–2023
| Factors | 2020–2021 | 2021–2022 | 2022–2023 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| OLS | SLM | SEM | OLS | SLM | SEM | OLS | SLM | SEM | |
| LSTN | 2.23*** | 1.09*** | 1.534*** | 3.046*** | 1.206** | 1.607* | 3.653*** | 1.750*** | 1.835** |
| Urban | 2.13** | 1.84*** | 2.605 *** | 3.264** | 2.624*** | 3.425*** | 3.456*** | 2.643*** | 3.168*** |
| Precipitation | −0.366** | −0.167 | 0.012 | ||||||
| Constant | 49.24 | 12.52 | 56.362 | 62.618 | 9.143 | 77.142 | 96.256 | 33.135 | 71.413 |
| ρ | – | 0.64 | – | – | 0.728 | – | – | 0.619 | – |
| λ (varies between 0.1 and 1.0) | – | – | 0.682 | – | – | 0.760 | – | – | 0.701 |
| F-stat (minimum value = 0) | 26.36 | – | – | 29.221 | – | – | 26.196 | – | – |
| R-Squared (coefficient of determination) | 0.400 | 0.640 | 0.655 | 0.426 | 0.721 | 0.712 | 0.499 | 0.696 | 0.689 |
| Log likelihood | −360.064 | −344.816 | −344.745 | −382.381 | −361.505 | −363.482 | −371.041 | −357.225 | −359.462 |
| AIC | 726.128 | 697.632 | 695.49 | 770.762 | 731.009 | 732.964 | 750.082 | 724.45 | 726.924 |
| BIC | 733.16 | 707.007 | 702.522 | 777.793 | 740.384 | 739.995 | 759.457 | 736.169 | 736.299 |
Bold values indicate the best regression model to predict the spatial association
ρ Rho, λ Lumda, OLS Oridnary least square, SEM Spatial error model, SLM Spatial lag model, AIC Akaike information crierion, BIC Bayesian information criterion, F-stat F-statistic
Coefficient significant at *0.05, **0.01, ***0.005