Table 2.
Negative binomial regression analysis of the effect of climate variability on under-5 diarrhea in the central Gondar Zone from January 2013 to December 2022
| Monthly mean climate variables | Lag-months | Crude IRR (95% CI) | Adjusted IRR (95% CI) |
|---|---|---|---|
| Monthly average temperature (OC) | 0 months lag | 1.0505 (1.0405–1.0606) *** | 1.0209 (1.0034–1.0387) * |
| 1-month lag | 1.0473 (1.0371–1.0576) *** | 0.9983(0.9765–1.0206) | |
| 2-month lag | 1.0422 (1.0318–1.0527) *** | 1.0202 (1.0022–1.0385) * | |
| Monthly average rainfall (mm) | 0 months lag | 0.9988 (0.9986–0.9991) *** | 0.999 (0.9985–0.9996) *** |
| 1-month lag | 0.9987 (0.9985–0.9989) *** | 0.9999 (0.9994–1.0006) | |
| 2-month lag | 0.9987 (0.9985–0.9989) *** | 0.9992 (0.9987–0.9997) * |
***, p-value < 0.0001
**, p-value < 0.001
*, p-value < 0.05. IRR = Incidence Rate Ratio, 95% Confidence Interval Adjusted IRR 95%CI indicates all the climate variables entered in the final model to investigate the independent effect of each climate variable by controlling the confounding effect between explanatory variables and the outcome variable