Elimination of covid-19: beware of surveillance bias.

Surveillance bias occurs when looking at health conditions that have differential intensity across populations, over time, or according to care setting or type of patient.1 As a result, any difference in frequency of the condition might not reflect a change in the actual risk of this condition but rather differences in the modality of detection or patient characteristics.2 Is this happening with covid-19? On the brink of a new wave of the pandemic, clarity on this point is …