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Association between city-wide lockdown and COVID-19 hospitalization rates in multigenerational households in New York City.
Ghosh, Arnab K; Venkatraman, Sara; Reshetnyak, Evgeniya; Rajan, Mangala; An, Anjile; Chae, John K; Unruh, Mark A; Abramson, David; DiMaggio, Charles; Hupert, Nathaniel.
  • Ghosh AK; Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York, United States of America.
  • Venkatraman S; Department of Statistics and Data Science, Cornell University, Ithaca, New York, United States of America.
  • Reshetnyak E; Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York, United States of America.
  • Rajan M; Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York, United States of America.
  • An A; Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, New York, United States of America.
  • Chae JK; Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York, United States of America.
  • Unruh MA; Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, New York, United States of America.
  • Abramson D; School of Global Public Health, New York University, New York, New York, United States of America.
  • DiMaggio C; Department of Surgery, New York University School of Medicine, New York, New York, United States of America.
  • Hupert N; Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, New York, United States of America.
PLoS One ; 17(3): e0266127, 2022.
Article in English | MEDLINE | ID: covidwho-1833646
ABSTRACT

BACKGROUND:

City-wide lockdowns and school closures have demonstrably impacted COVID-19 transmission. However, simulation studies have suggested an increased risk of COVID-19 related morbidity for older individuals inoculated by house-bound children. This study examines whether the March 2020 lockdown in New York City (NYC) was associated with higher COVID-19 hospitalization rates in neighborhoods with larger proportions of multigenerational households.

METHODS:

We obtained daily age-segmented COVID-19 hospitalization counts in each of 166 ZIP code tabulation areas (ZCTAs) in NYC. Using Bayesian Poisson regression models that account for spatiotemporal dependencies between ZCTAs, as well as socioeconomic risk factors, we conducted a difference-in-differences study amongst ZCTA-level hospitalization rates from February 23 to May 2, 2020. We compared ZCTAs in the lowest quartile of multigenerational housing to other quartiles before and after the lockdown.

FINDINGS:

Among individuals over 55 years, the lockdown was associated with higher COVID-19 hospitalization rates in ZCTAs with more multigenerational households. The greatest difference occurred three weeks after lockdown Q2 vs. Q1 54% increase (95% Bayesian credible intervals 22-96%); Q3 vs. Q1 48% (17-89%); Q4 vs. Q1 66% (30-211%). After accounting for pandemic-related population shifts, a significant difference was observed only in Q4 ZCTAs 37% (7-76%).

INTERPRETATION:

By increasing house-bound mixing across older and younger age groups, city-wide lockdown mandates imposed during the growth of COVID-19 cases may have inadvertently, but transiently, contributed to increased transmission in multigenerational households.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Child / Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0266127

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Child / Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0266127