Sample size, timing, and other confounding factors: towards a fair assessment of stay‐at-home orders.

Lonni Besançon (1) , Gideon Meyerowitz‐katz (2) , Antoine Flahault (3)

1 Monash University [Clayton]
2 University of Wollongong [Australia]
3 INSTITUTE OF GLOBAL HEALTH FACULTY OF MEDICINE UNIVERSITY OF GENEVA CHE

We read with interest the timely contribution from Bendavid et al. "Assessing mandatory stay-at-home and business closure effects on the spread of COVID-19". We would like to highlight specific concerns about the methodology and writing of the article that we detail below.

Domaines: Statistiques [stat]; Santé publique et épidémiologie; Méthodologie [stat.ME]

Lonni Besançon, Gideon Meyerowitz‐katz, Antoine Flahault. Sample size, timing, and other confounding factors: towards a fair assessment of stay‐at-home orders.. 2021, ⟨10.1111/eci.13518⟩. ⟨hal-03143533⟩