Table 1.
Model 1: logistic regression | |||
---|---|---|---|
Outcome | Exposure | OR | 95% CI |
CanLm | p(Phlm) | 2.66 | 2.16–3.37 |
| |||
---|---|---|---|
Model 2: negative binomial regression | |||
Outcome | Exposure | IRR | 95% CI |
μm | p(CanLm) | 1.49 | 1.02–2.16 |
OR: Odd Ratios, CI: Confidence Intervals, IRR: Incidence Rate Ratio, CanLm: Municipalities affected by autochthonous CanL cases; μm: Incident VL cases at the municipality level; p(Phlm): estimated probability of P.perniciosus presence aggregated at the municipality level (expressed as 10% increase); p(CanLm): probability of a municipality of being endemic for CanL (expressed as 10% increase).