Association between city-wide lockdown and COVID-19 hospitalization rates in multigenerational households in New York City

被引:1
|
作者
Ghosh, Arnab K. [1 ]
Venkatraman, Sara [2 ]
Reshetnyak, Evgeniya [1 ]
Rajan, Mangala [1 ]
An, Anjile [3 ]
Chae, John K. [1 ]
Unruh, Mark A. [3 ]
Abramson, David [4 ]
DiMaggio, Charles [5 ]
Hupert, Nathaniel [3 ,6 ]
机构
[1] Cornell Univ, Weill Cornell Med Coll, Dept Med, New York, NY 10021 USA
[2] Cornell Univ, Dept Stat & Data Sci, Ithaca, NY USA
[3] Cornell Univ, Dept Populat Hlth Sci, Weill Cornell Med Coll, New York, NY 10021 USA
[4] NYU, Sch Global Publ Hlth, New York, NY USA
[5] NYU, Dept Surg, Sch Med, New York, NY 10016 USA
[6] Cornell Univ, Cornell Ctr Dis & Disaster Preparedness, Weill Cornell Med Coll, New York, NY 10021 USA
来源
PLOS ONE | 2022年 / 17卷 / 03期
关键词
D O I
10.1371/journal.pone.0266127
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
BackgroundCity-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. MethodsWe 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. FindingsAmong 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%). InterpretationBy 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.
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页数:13
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