Table 3 Parameter estimates from Bayesian Zero-Inflated Poisson regression models of dengue cases in Lao PDR, year 2015–2020.

From: Bayesian spatio-temporal analysis of dengue transmission in Lao PDR

Variables

Model I

Model II

Model III

Model IV

RR (95% CrI)

RR (95% CrI)

RR (95% CrI)

RR (95% CrI)

Alpha*

− 1.19 (− 1.35 to − 1.04)

− 1.30 (− 1.35 to − 1.25)

− 1.31 (− 1.48 to − 1.15)

− 1.57 (− 1.80 to − 1.33)

Mean monthly trend

1.35 (1.34–1.36)

1.35 (1.32–1.38)

1.35 (1.33–1.37)

1.59 (1.52–1.67)

ALT (masl)

1.00 (0.20–4.83)

1.00 (0.21–4.88)

1.00 (0.21–4.87)

1.00 (0.21–4.83)

NDVI with 1-month lag (unit)

0.11 (0.10–0.12)

0.11 (0.09–0.14)

0.11 (0.09–0.13)

0.09 (0.08–0.11)

PREC with 6-month lag (mm)

0.994 (0.994–0.995)

0.994 (0.994–0.995)

0.994 (0.994–0.995)

0.994 (0.994–0.995)

TEMP with 3-month lag (°C)

1.42 (1.42–1.43)

1.42 (1.40–1.45)

1.42 (1.40–1.44)

1.43 (1.41–1.45)

Probability of extra zero

1.55 (1.54–1.57)

1.55 (1.53–1.57)

1.55 (1.53–1.57)

1.49 (1.47–1.51)

Heterogeneity*

 Unstructured

0.40 (0.32–0.50)

1.87 (1.07–3.07)

1.46 (0.77–2.47)

 Structured

0.20 (0.16–0.24)

0.38 (0.24–0.59)

0.31 (0.20–0.47)

Structured (trend)

   

0.51 (0.39–0.63)

 DIC

115,498

115,636

115,584

110,201

  1. RR relative risk, CrI credible interval, DIC deviance information criterion, ALT altitude, NDVI normalized difference vegetation index, PREC precipitation, TEMP mean temperature. *Coefficient.