Table 2.

Example structure of the serial outcome variables used in the logistic regression and the accelerated failure time (AFT) models as derived from the 48 week ZIKV surveillance data for a positive outcome (y = 1), negative outcome (y = 0), or right-censored data

Modelling approach	Possible outcome, y	Weeks of study period
		1	2	3	4	5	6	…	48
Logistic regression	Index case	1	1	1	1	1	1	…	1
	First case detected in week 3	0	0	1	1	1	1	…	1
	No cases detected	0	0	0	0	0	0	…	0
AFT model	Index case	1	–	–	–	–	–	…	–
	First case detected in week 3	0	0	1	–	–	–	…	–
	No cases detected	0	0	0	0	0	0	…	0