research product . Other ORP type . 2021

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

Besançon, Lonni; Meyerowitz‐Katz, Gideon; Flahault, Antoine;
  • Published: 12 Feb 2021
  • Publisher: HAL CCSD
  • Country: France
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.
free text keywords: [STAT]Statistics [stat], [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [STAT.ME]Statistics [stat]/Methodology [stat.ME]
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[2] Brauner, J. M., Mindermann, S., Sharma, M., Johnston, D., Salvatier, J., Gavenčiak, T., ... & Kulveit, J. (2020). Inferring the effectiveness of government interventions against COVID-19. Science. Doi: ​10.1126/science.abd9338 [4] The Korea Herald. (2020, September 21). Students in greater Seoul return to school as virus slows, learning gap widens. Retrieved January 19, 2021

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