Table 2.
Variable | n districts | Univariable models |
Finalized Multivariable model |
Finalized Multivariable Bayesian CAR model |
|
---|---|---|---|---|---|
Coefficient (CI95%) Exponentiated values |
Coefficient (CI95%) Exponentiated values |
Median |
Credible interval |
||
Exponentiated values | |||||
Intercept | 0.0006 (0.0005–0.0007) | 0.00003 | 0.00001–0.00006 | ||
Dog attacks/bites (total count = 2,265,428) |
|||||
≤3611 attacks | 705 | Ref. | Ref. | Ref. | |
>3611 attacks | 228 | 0.86 (0.78–0.94)* | 0.88 (0.79–0.97)* | 1.19 | 0.78–1.76 |
Total dogs: owned and un-owned## (total count = 7,472,037) |
|||||
≤14,582 dogs | 816 | Ref. | Ref. | Ref. | |
>14,582 dogs | 112 | 0.55 (0.49–0.62)* | 0.61 (0.54–0.68)* | 0.78 | 0.43–1.37 |
Un-owned female dogs (total count = 411,368) |
|||||
≤1109 dogs | 837 | Ref. | |||
>1109 dogs | 91 | 0.61 (0.55–0.67)* | |||
Total cats (total count = 3,035,653) |
|||||
≤3173 cats | 630 | Ref. | |||
>3173 cats | 298 | 0.50 (0.46–0.55)* | |||
Buddhist temples (total count =32,786) |
|||||
≤50 temples | 706 | Ref. | Ref. | Ref. | |
>50 temples | 222 | 1.14 (1.03–1.25)* | 1. 10 (0.98–1.24)# | 1.01 | 0.63–1.62 |
Average poverty | |||||
≤13 | 651 | Ref. | Ref. | ||
>13 | 277 | 1.15 (1.04–1.27)* | 1.17 (1.04–1.31)* | 1.14 | 0.72–1.81 |
Human population of 2015 (68,071,557) |
Included as an offset | Included as an offset | |||
≤50,000 | 468 | Ref. | |||
50,000–200,000 | 407 | 1.95 (1.73–2.19)* | |||
>200,000 | 53 | 3.55 (3.09–4.07)* | |||
Sharing country borders | |||||
No international borders | 799 | Ref. | Ref. | Ref. | |
Myanmar (Burma) | 45 | 0.85 (0.64–1.15) | 0.65 (0.48–0.88)* | 4.51 | 1.05–21.50 |
Malaysia | 15 | 1.65 (1.17–2.31)* | 1.45 (1.03–2.04)* | 1.50 | 0.18–10.82 |
Cambodia | 20 | 1.78 (1.14–2.23)* | 1.47 (1.17–1.87)* | 1.50 | 0.48–6.03 |
Laos | 49 | 2.42 (2.07–2.84)* | 1.96 (1.65–2.31)* | 5.99 | 2.35–10.82 |
Garbage dumps (total count =2272) |
|||||
≤6 dumps | 854 | Ref. | |||
>6 dumps | 74 | 0.951 (0.72–1.25) | |||
Yearly average of PEP¥ (total count = 51, 296) |
|||||
≤81 | 760 | Ref. | |||
>81 | 168 | 0.75 (0.66–0.84)* | |||
Animal vaccines of 2016## (total count =907, 400) |
|||||
≤ 2153 doses | 853 | Ref. | |||
> 2153 doses | 75 | 0.36 (0.31–0.43)* | |||
Spatial dependence | N/A | N/A | |||
Omega - intercept | −201.56 | −645.3 to −12.17 | |||
Tau | 8.48 | 7.34–11.17 | |||
Spatial autocorrelation parameter (ρ) |
0.98 |
0.94–0.99 |
The dependent variable was the counts of human or animal rabies in each district during 2012–2016 period. Human population was used as an offset. The unit of analysis was the districts of Thailand (n = 928). Frequentist univariable and multivariable zero-inflated Poisson (ZIP) regression models were used to identify and finalize the key factors. The factors finalized in multivariable ZIP variables were used in a Bayesian conditional autoregressive (CAR) model to account for the spatial dependence.
*p-values from the Likelihood Ratio Test (<0.05). #p-values from the Likelihood Ratio Test (between 0.06 and 0.1). PEP¥ = yearly average of the number of human post exposure prophylaxis. Total dogs and Animal vaccines were highly correlated (0.91)##.