Table 1. Summary of all models predicting mortality and infection status considered.

For each model, table provides prediction accuracy, number of species to which model was fit, method for evaluating model accuracy and lambda parameter used in ridge regression. The two models used to predict the infection characteristics of African mammals in Fig 1 are italicized.

Model	Prediction accuracy	Number of species	Method for evaluating model accuracy	lambda
Mortality	0.905	21	Leave-one-out CV	0.059
Infection status	0.802	363	AUC	1.9
Infection status (≧10 individuals sampled)	0.765	152	AUC	2.7
PCR only	0.655	279	AUC	2.9
Infection status (only free-ranging sampled)	0.757	359	AUC	0.3
NPC1	0.645	31	Leave-one-out CV	0.094
NPC1 + distance to spillover	0.58	31	Leave-one-out CV	0.118