Table 3. Negative Binomial Regression model results for African Swine Fever in domestic pigs, African wine fever in wild boar, Contagious Agalactia, West Nile disease, Bloutongue, Trichinellosis and Cistic Echinococcosis as outcome.
OUTCOME: Cases of African Swine Fever in domestic pigs |
ORadj |
95% CI |
p-value |
---|---|---|---|
N. farms (by 10 farms) | 1.08 | [1.02–1.11] | 0.005 |
N. animals (by 100 animals) | 1.01 | [1.01–1.02] | < 0.0001 |
Age of the farmer (by 5 years old) | 0.80 | [0.70–0.84] | < 0.0001 |
Sex of the farmer (female vs male) | 0.51 | [0.33–0.82] | 0.005 |
IDM quintile 1 (very wealthy) 2 (wealthy) 3 (medium) 4 (deprived) 5 (very deprived) |
Rif. 0.89 2.04 2.23 2.64 |
[0.56–1.37] [1.70–2.44] [1.70–2.95] [1.90–3.69] |
0.564 < 0.0001 < 0.0001 < 0.0001 |
Ind_013—Employment rate | 0.77 | [0.62–0.96] | 0.019 |
Ind_018—Cultural demand | 0.95 | [0.93–0.98] | 0.001 |
Ind_135—Micro criminality Index | 1.46 | [1.07–1.98] | 0.016 |
Ind_165—Tourism in not-summer period | 1.47 | [1.31–1.65] | < 0.0001 |
Ind_278—Flood risk population (by 100 inhabitants/km2) | 1.48 | [1.11–1.99] | 0.009 |
Ind_279—Rate of reported thefts | 1.58 | [1.51–1.28] | < 0.0001 |
Ind_280—Rate of reported robberies | 1.07 | [1.03–1.13] | 0.001 |
OUTCOME: Cases of African Swine Fever in wild boar |
ORadj |
95% CI |
p-value |
Ind_013—Employment rate | 0.81 | [0.66–0.99] | 0.041 |
Ind_018—Cultural demand | 0.98 | [0.95–0.99] | 0.022 |
Ind_052—Municipal differentiated waste | 1.49 | [1.11–1.99] | 0.009 |
Ind_080—Energy produced from renewable sources | 0.57 | [0.35–0.92] | 0.023 |
Ind_135—Micro criminality Index | 1.93 | [1.89–1.97] | 0.001 |
Ind_239—Forests surface (100 hectars) | 1.17 | [1.08–1. 20] | < 0.0001 |
Ind_278—Flood risk population (by 100 inhabitants/km2) | 1.79 | [1.65–1.97] | 0.027 |
Ind_279—Rate of reported thefts | 2.65 | [1.90–3.69] | < 0.0001 |
OUTCOME: Cases of Contagious Agalactia |
ORadj |
95% CI |
p-value |
N. farms (by 10 farms) | 1.18 | [1.10–1.26] | < 0.0001 |
N. animals (by 100 animals) | 1.01 | [1.01–1.03] | 0.038 |
Age of the farmer (by 5 years old) | 1.16 | [1.01–1.33] | 0.029 |
Sex of the farmer (female vs male) | 0.52 | [0.37–0.74] | < 0.0001 |
Ind_018—Cultural demand | 0.50 | [0.39–0.65] | < 0.0001 |
Ind_083—Municipal waste | 1.06 | [1.02–1.10] | 0.027 |
Ind_135—Micro criminality Index | 1.28 | [1.03–1.60] | 0.028 |
Ind_165—Tourism in not-summer period | 1.58 | [1.41–1.82] | 0.002 |
Ind_239—Forests surface (100 hectars) | 0.98 | [0.96–0.99] | 0.001 |
Ind_278—Flood risk population (by 100 inhabitants/km2) | 1.22 | [1.03–1.45] | 0.023 |
Ind_279—Rate of reported thefts | 1.03 | [1.01–1.05] | 0.004 |
OUTCOME: Cases of West Nile disease |
ORadj |
95% CI |
p-value |
Ind_013—Employment rate | 0.98 | [0.89–0.99] | < 0.0001 |
Ind_018—Cultural demand | 0.67 | [0.47–0.95] | 0.025 |
Ind_080—Energy produced from renewable sources | 0.32 | [0.21–0.48] | < 0.0001 |
Ind_239—Forests surface (100 hectars) | 0.51 | [0.32–0.81] | 0.005 |
Ind_278—Flood risk population (by 100 inhabitants/km2) | 1.13 | [1.02–1.25] | 0.016 |
OUTCOME: Cases of Bluetongue |
ORadj |
95% CI |
p-value |
N. animals (by 100 animals) | 1.16 | [1.03–1.31] | 0.013 |
Ind_012—Unemployment rate | 1.21 | [1.02–1.44] | 0.029 |
Ind_018—Cultural demand | 0.98 | [0.97–0.98] | < 0.0001 |
Ind_105—Tourism rate | 0.95 | [0.91–0.97] | 0.002 |
Ind_239—Forests surface (100 hectars) | 0.45 | [0.22–0.76] | 0.011 |
Ind_265—Air quality monitoring | 0.63 | [0.45–0.77] | < 0.0001 |
Ind_278—Flood risk population (by 100 inhabitants/km2) | 1.27 | [1.04–1.56] | 0.019 |
Ind_281—Homicide rate | 1.31 | [1.06–1.63] | 0.001 |
OUTCOME: Cases of Trichinellosis |
ORadj |
95% CI |
p-value |
N. farms (by 10 farms) | 1.01 | [1.01–1.02] | < 0.0001 |
N. animals (by 100 animals) | 1.07 | [1.02–1.12] | 0.006 |
Age of the farmer (by 5 years old) | 1.19 | [1.05–1.35] | 0.008 |
Sex of the farmer (female vs male) | 0.89 | [0.80–0.98] | < 0.0001 |
IDM quintile 1 (very wealthy) 2 (wealthy) 3 (medium) 4 (deprived) 5 (very deprived) |
Rif. 0.84 1.77 2.70 1.64 |
[0.32–2.28] [1.25–2.51] [1.45–6.09] [1.22–2.19] |
0.721 0.001 0.003 0.001 |
Ind_013—Employment rate | 0.92 | [0.87–0.97] | 0.004 |
Ind_018—Cultural demand | 0.82 | [0.72–0.94] | 0.003 |
Ind_080—Energy produced from renewable sources | 0.13 | [0.04–0.42] | 0.001 |
Ind_135—Micro criminality Index | 1.16 | [1.03–1.31] | 0.013 |
Ind_165—Tourism in not-summer period | 1.65 | [1.23–2.18] | 0.001 |
Ind_279—Rate of reported thefts | 1.30 | [1.11–1.51] | 0.001 |
Ind_281—Homicides rate | 2.31 | [1.11–4.80] | 0.025 |
OUTCOME: Cases of Cistic Echinococcosis |
ORadj |
95% CI |
p-value |
N. farms (by 10 farms) | 1.01 | [1.01–1.18] | 0.036 |
N. animals (by 100 animals) | 1.01 | [1.01–1.09] | < 0.0001 |
Age of the farmer (by 5 years) | 0.98 | [0.96–0.99] | 0.001 |
Sex of the farmer (female vs male) | 0.84 | [0.82–0.86] | < 0.0001 |
IDM quintile 1 (very wealthy) 2 (wealthy) 3 (medium) 4 (deprived) 5 (very deprived) |
Rif. 0.98 1.05 1.95 3.73 |
[0.91–1.05] [1.02–1.08] [1.02–3.81] [3.54–3.94] |
0.585 < 0.0001 0.047 < 0.0001 |
Ind_013—Employment rate | 0.91 | [0.86–0.97] | 0.003 |
Ind_018—Cultural demand | 0.84 | [0.67–0.86] | 0.004 |
Ind_044—Air traffic index | 0.98 | [0.97–0.99] | < 0.0001 |
Ind_105—Tourism rate | 0.94 | [0.92–0.97] | < 0.0001 |
Ind_135—Micro criminality Index | 1.21 | [1.11–1.29] | < 0.0001 |
Ind_141—Hospital emigration | 0.72 | [0.63–0.83] | < 0.0001 |
Ind_278—Flood risk population (by 100 inhabitants/km2) | 1.19 | [1.08–1.32] | 0.001 |
Ind_279—Rate of reported thefts | 1.02 | [1.01–1.03] | < 0.0001 |
Ind_280—Rate of reported robberies | 1.43 | [1.41–1.46] | < 0.0001 |
Ind_281—Homicide rate | 1.31 | [1.26–1.35] | < 0.0001 |