Table 1 Inferred generalized linear model (GLM) of discrete location transitions under three different usage strategies of travel history information.

From: Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2

Information usage strategy

Air travel

Geographic distance

Asymmetry out of Hubei

Inclusion probability

Log conditional effect size

Inclusion probability

Log conditional effect size

Inclusion probability

Log conditional effect size

Sampling location and travel history

>0.999

0.718 (0.505, 0.948)

0.114

−0.042 (−0.105, 0.024)

>0.999

2.362 (1.864, 2.859)

Sampling location only

>0.999

1.131 (0.838, 1.481)

0.049

−0.016 (−0.105, 0.077)

0.969

1.620 (0.631, 2.319)

Travel origin location

>0.999

1.000 (0.709, 1.317)

0.114

0.050 (−0.043, 0.146)

>0.999

2.226 (1.650, 2.800)

  1. We report posterior inclusion probabilities and posterior mean (95% highest probability density intervals) log conditional effect sizes for air travel, geographic distance, and asymmetry out of Hubei.
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