Table 2 The risk ratios of floods on bacillary dysentery at various lag weeks from the DLNM models in Huaihua, China.
From: Distributed lag effects and vulnerable groups of floods on bacillary dysentery in Huaihua, China
Category | Lag0 | Lag1 | Lag2 | Lag3 | Lag4 | Lag0–2 |
|---|---|---|---|---|---|---|
Total | 1.09(0.88,1.35) | 1.32(1.12,1.56) * | 1.06(0.89,1.25) | 0.85(0.71,1.02) | 1.02(0.86,1.20) | 1.52(1.08,2.12) * |
Gender | ||||||
Males | 1.00(0.75,1.31) | 1.30(1.06,1.61) * | 1.04(0.84,1.29) | 0.84(0.67,1.05) | 1.04(0.85,1.27) | 1.35(0.88,2.07) |
Females | 1.18(0.89,1.55) | 1.32(1.06,1.65) * | 1.06(0.85,1.33) | 0.88(0.69,1.11) | 0.96(0.77,1.20) | 1.65(1.06,2.56) * |
Age (years) | ||||||
0–4 | 1.00(0.74,1.37) | 1.21(0.96,1.53) | 0.99(0.78,1.26) | 0.85(0.66,1.09) | 0.82(0.64,1.05) | 1.20(0.75,1.94) |
5–14 | 1.17(0.73,1.88 | 1.31(0.85,2.01) | 1.07(0.72,1.60) | 0.66(0.42,1.04) | 1.08(0.75,1.57) | 1.64(0.74,3.64) |
15–64 | 1.03(0.78,1.37) | 1.39(1.12,1.72) * | 1.02(0.81,1.27) | 0.84(0.66,1.05) | 1.08(0.88,1.34) | 1.46(0.94,2.27) |
65+ | 0.98(0.55,1.73) | 1.22(0.79,1.87) | 1.35(0.90,2.01) | 1.20(0.79,1.82) | 1.09(0.73,1.63) | 1.61(0.68,3.78) |
Occupation | ||||||
Farmers | 0.85(0.60,1.20) | 1.42(1.11,1.82) * | 1.02(0.79,1.32) | 0.80(0.60,1.05) | 1.07(0.83,1.37) | 1.23(0.73,2.08) |
Students | 1.58(0.99,2.52) | 1.17(0.73,1.87) | 1.07(0.69,1.66) | 0.71(0.44,1.14) | 1.05(0.71,1.57) | 1.99(0.86,4.61) |
Children | 0.98(0.72,1.33) | 1.21(0.96,1.53) | 0.97(0.77,1.23) | 0.88(0.69,1.12) | 0.87(0.69,1.10) | 1.15(0.72,1.84) |
Works | 0.92(0.57,1.50) | 1.07(0.72,1.58) | 1.26(0.89,1.79) | 0.87(0.58,1.28) | 0.90(0.62,1.30) | 1.25(0.58,2.67) |
Others | 1.59(0.91,2.81) | 1.52(0.98,2.36) | 1.30(0.83,2.05) | 1.18(0.77,1.80) | 1.28(0.84,1.97) | 3.16(1.29,7.77) * |
