Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City

New York City is one of the areas most affected by the SARS-CoV-2 pandemic in the United States, and there has been large variation in rates of hospitalisation and death by city borough. Here, the authors show that boroughs with the largest reduction in daily commutes also had the lowest SARS-CoV-2...

Full description

Bibliographic Details
Main Authors: Stephen M. Kissler, Nishant Kishore, Malavika Prabhu, Dena Goffman, Yaakov Beilin, Ruth Landau, Cynthia Gyamfi-Bannerman, Brian T. Bateman, Jon Snyder, Armin S. Razavi, Daniel Katz, Jonathan Gal, Angela Bianco, Joanne Stone, Daniel Larremore, Caroline O. Buckee, Yonatan H. Grad
Format: Article
Language:English
Published: Nature Publishing Group 2020-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-18271-5
id doaj-522ca392c72941cd8bae21653f4b0c80
record_format Article
spelling doaj-522ca392c72941cd8bae21653f4b0c802021-09-19T11:51:00ZengNature Publishing GroupNature Communications2041-17232020-09-011111610.1038/s41467-020-18271-5Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York CityStephen M. Kissler0Nishant Kishore1Malavika Prabhu2Dena Goffman3Yaakov Beilin4Ruth Landau5Cynthia Gyamfi-Bannerman6Brian T. Bateman7Jon Snyder8Armin S. Razavi9Daniel Katz10Jonathan Gal11Angela Bianco12Joanne Stone13Daniel Larremore14Caroline O. Buckee15Yonatan H. Grad16Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public HealthDepartment of Epidemiology, Harvard T.H. Chan School of Public HealthDepartment of Obstetrics and Gynecology, Weill Cornell MedicineDepartment of Obstetrics and Gynecology, Columbia University Irving Medical CenterDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount SinaiDepartment of Anesthesiology, Columbia University Irving Medical CenterDepartment of Obstetrics and Gynecology, Columbia University Irving Medical CenterDepartment of Anesthesiology, Brigham and Women’s HospitalDepartment of Obstetrics and Gynecology, Weill Cornell MedicineDepartment of Obstetrics and Gynecology, Weill Cornell MedicineDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount SinaiDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount SinaiDepartment of Obstetrics Gynecology and Reproductive Sciences, Icahn School of Medicine at Mount SinaiDepartment of Obstetrics Gynecology and Reproductive Sciences, Icahn School of Medicine at Mount SinaiDepartment of Computer Science, University of Colorado BoulderDepartment of Epidemiology, Harvard T.H. Chan School of Public HealthDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public HealthNew York City is one of the areas most affected by the SARS-CoV-2 pandemic in the United States, and there has been large variation in rates of hospitalisation and death by city borough. Here, the authors show that boroughs with the largest reduction in daily commutes also had the lowest SARS-CoV-2 prevalence.https://doi.org/10.1038/s41467-020-18271-5
collection DOAJ
language English
format Article
sources DOAJ
author Stephen M. Kissler
Nishant Kishore
Malavika Prabhu
Dena Goffman
Yaakov Beilin
Ruth Landau
Cynthia Gyamfi-Bannerman
Brian T. Bateman
Jon Snyder
Armin S. Razavi
Daniel Katz
Jonathan Gal
Angela Bianco
Joanne Stone
Daniel Larremore
Caroline O. Buckee
Yonatan H. Grad
spellingShingle Stephen M. Kissler
Nishant Kishore
Malavika Prabhu
Dena Goffman
Yaakov Beilin
Ruth Landau
Cynthia Gyamfi-Bannerman
Brian T. Bateman
Jon Snyder
Armin S. Razavi
Daniel Katz
Jonathan Gal
Angela Bianco
Joanne Stone
Daniel Larremore
Caroline O. Buckee
Yonatan H. Grad
Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City
Nature Communications
author_facet Stephen M. Kissler
Nishant Kishore
Malavika Prabhu
Dena Goffman
Yaakov Beilin
Ruth Landau
Cynthia Gyamfi-Bannerman
Brian T. Bateman
Jon Snyder
Armin S. Razavi
Daniel Katz
Jonathan Gal
Angela Bianco
Joanne Stone
Daniel Larremore
Caroline O. Buckee
Yonatan H. Grad
author_sort Stephen M. Kissler
title Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City
title_short Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City
title_full Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City
title_fullStr Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City
title_full_unstemmed Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City
title_sort reductions in commuting mobility correlate with geographic differences in sars-cov-2 prevalence in new york city
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-09-01
description New York City is one of the areas most affected by the SARS-CoV-2 pandemic in the United States, and there has been large variation in rates of hospitalisation and death by city borough. Here, the authors show that boroughs with the largest reduction in daily commutes also had the lowest SARS-CoV-2 prevalence.
url https://doi.org/10.1038/s41467-020-18271-5
work_keys_str_mv AT stephenmkissler reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT nishantkishore reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT malavikaprabhu reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT denagoffman reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT yaakovbeilin reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT ruthlandau reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT cynthiagyamfibannerman reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT briantbateman reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT jonsnyder reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT arminsrazavi reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT danielkatz reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT jonathangal reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT angelabianco reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT joannestone reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT daniellarremore reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT carolineobuckee reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
AT yonatanhgrad reductionsincommutingmobilitycorrelatewithgeographicdifferencesinsarscov2prevalenceinnewyorkcity
_version_ 1717375409875582976