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Table 2 Regression coefficients with 95% credible interval and deviance information criterion (DIC) from zero-inflated Poisson models for malaria cases in 2016

From: Bayesian spatiotemporal analysis of malaria infection along an international border: Hlaingbwe Township in Myanmar and Tha-Song-Yang District in Thailand

Model/variables

Tha-Song-Yang model

Hlaingbwe model

Zero-inflated Poisson

 Intercept

− 1.38 (− 1.90, − 0.84)

− 1.99 (− 2.65, − 1.37)

 Age (> 15 years)

1.87 (1.31, 2.48)

2.82 (2.03, 3.62)

 Sex (male)

2.27 (1.71, 2.86)

2.87 (2.07, 3.68)

 Age and sex

− 2.68 (− 3.50, − 1.88)

− 3.45 (− 4.58, − 2.35)

 DIC

935.51

477.58

 DICr

939.53

479.22