Estimation of Trypanosoma cruzi infection in the main vector Triatoma infestans: accounting for imperfect detection using site-occupancy models

Table 1 Models of the occurrence and detection of Trypanosoma cruzi infection in Triatoma infestans collected before vector control interventions in Pampa del Indio, 2007

Model	AIC	ΔAIC	AIC weight	Model likelihood	K	−2 × Log-likelihood
Ψ (domicile.), P(method)	285.02	0	0.5714	1	4	277.02
Ψ(adult + domicile), P(method)	285.6	0.58	0.4276	0.7483	5	275.6
Ψ (.), P(method)	298.46	13.44	0.0007	0.0012	3	292.46
Ψ (adult), P(method)	300.23	15.21	0.0003	0.0005	4	292.23
Ψ (.), P(.)	305.17	20.15	0	0	2	301.17

The best supported model according to AIC is shown in the first row
ΔAIC delta AIC represents the variation of AIC relative to the best model
k number of parameters in the model
Ψ is the occupancy probability (i.e., probability of T. cruzi infection) and P the detection probability

ISSN: 1756-3305