Your browser doesn't support javascript.
loading
Social distancing and mask-wearing could avoid recurrent stay-at-home restrictions during COVID-19 respiratory pandemic in New York City.
Kim, Hae-Young; Bershteyn, Anna; McGillen, Jessica B; Shaff, Jaimie; Sisti, Julia; Ko, Charles; Wikramanayake, Radhika; Newton-Dame, Remle; Braithwaite, R Scott.
Afiliación
  • Kim HY; Department of Population Health, New York University Grossman School of Medicine, 227 E 30th Street, New York, NY, USA. hae-young.kim@nyulangone.org.
  • Bershteyn A; Department of Population Health, New York University Grossman School of Medicine, 227 E 30th Street, New York, NY, USA.
  • McGillen JB; Department of Population Health, New York University Grossman School of Medicine, 227 E 30th Street, New York, NY, USA.
  • Shaff J; New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Sisti J; New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Ko C; New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Wikramanayake R; New York City Department of Health and Mental Hygiene, New York, NY, USA.
  • Newton-Dame R; New York City Health and Hospitals, New York, NY, USA.
  • Braithwaite RS; Department of Population Health, New York University Grossman School of Medicine, 227 E 30th Street, New York, NY, USA.
Sci Rep ; 12(1): 10312, 2022 06 20.
Article en En | MEDLINE | ID: mdl-35725991
Stay-at-home restrictions such as closure of non-essential businesses were effective at reducing SARS-CoV-2 transmission in New York City (NYC) in the spring of 2020. Relaxation of these restrictions was desirable for resuming economic and social activities, but could only occur in conjunction with measures to mitigate the expected resurgence of new infections, in particular social distancing and mask-wearing. We projected the impact of individuals' adherence to social distancing and mask-wearing on the duration, frequency, and recurrence of stay-at-home restrictions in NYC. We applied a stochastic discrete time-series model to simulate community transmission and household secondary transmission in NYC. The model was calibrated to hospitalizations, ICU admissions, and COVID-attributable deaths over March-July 2020 after accounting for the distribution of age and chronic health conditions in NYC. We projected daily new infections and hospitalizations up to May 31, 2021 under the different levels of adherence to social distancing and mask-wearing after relaxation of stay-at-home restrictions. We assumed that the relaxation of stay-at-home policies would occur in the context of adaptive reopening, where a new hospitalization rate of ≥ 2 per 100,000 residents would trigger reinstatement of stay-at-home restrictions while a new hospitalization rate of ≤ 0.8 per 100,000 residents would trigger relaxation of stay-at-home restrictions. Without social distancing and mask-wearing, simulated relaxation of stay-at-home restrictions led to epidemic resurgence and necessary reinstatement of stay-at-home restrictions within 42 days. NYC would have stayed fully open for 26% of the time until May 31, 2021, alternating reinstatement and relaxation of stay-at-home restrictions in four cycles. At a low (50%) level of adherence to mask-wearing, NYC would have needed to implement stay-at-home restrictions between 8% and 32% of the time depending on individual adherence to social distancing. At moderate to high levels of adherence to mask-wearing without social distancing, NYC would have needed to implement stay-at-home restrictions. In threshold analyses, avoiding reinstatement of stay-at-home restrictions required a minimum of 60% adherence to mask-wearing at 50% adherence to social distancing. With low adherence to mask-wearing and social distancing, reinstatement of stay-at-home restrictions in NYC was inevitable. High levels of adherence to social distancing and mask-wearing could have attributed to avoiding recurrent surges without reinstatement of stay-at-home restrictions.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido