The 2015–2016 Zika virus outbreak in the Americas was characterised by high numbers of cases in women of reproductive age, but the extent to which this reflected surveillance bias is unclear. Here, the authors develop a statistical model which adjusts for surveillance bias and use it to estimate transmission risks in different groups using data from Colombia.
- Tim K. Tsang
- Diana P. Rojas
- Yang Yang
