Literature DB >> 21826584

The role of subway travel in an influenza epidemic: a New York City simulation.

Philip Cooley1, Shawn Brown, James Cajka, Bernadette Chasteen, Laxminarayana Ganapathi, John Grefenstette, Craig R Hollingsworth, Bruce Y Lee, Burton Levine, William D Wheaton, Diane K Wagener.   

Abstract

The interactions of people using public transportation in large metropolitan areas may help spread an influenza epidemic. An agent-based model computer simulation of New York City's (NYC's) five boroughs was developed that incorporated subway ridership into a Susceptible-Exposed-Infected-Recovered disease model framework. The model contains a total of 7,847,465 virtual people. Each person resides in one of the five boroughs of NYC and has a set of socio-demographic characteristics and daily behaviors that include age, sex, employment status, income, occupation, and household location and membership. The model simulates the interactions of subway riders with their workplaces, schools, households, and community activities. It was calibrated using historical data from the 1957-1958 influenza pandemics and from NYC travel surveys. The surveys were necessary to enable inclusion of subway riders into the model. The model results estimate that if influenza did occur in NYC with the characteristics of the 1957-1958 pandemic, 4% of transmissions would occur on the subway. This suggests that interventions targeted at subway riders would be relatively ineffective in containing the epidemic. A number of hypothetical examples demonstrate this feature. This information could prove useful to public health officials planning responses to epidemics.

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Year:  2011        PMID: 21826584      PMCID: PMC3191213          DOI: 10.1007/s11524-011-9603-4

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  18 in total

1.  Modelling disease outbreaks in realistic urban social networks.

Authors:  Stephen Eubank; Hasan Guclu; V S Anil Kumar; Madhav V Marathe; Aravind Srinivasan; Zoltán Toroczkai; Nan Wang
Journal:  Nature       Date:  2004-05-13       Impact factor: 49.962

2.  Vaccination versus treatment of influenza in working adults: a cost-effectiveness analysis.

Authors:  Michael B Rothberg; David N Rose
Journal:  Am J Med       Date:  2005-01       Impact factor: 4.965

3.  Modeling targeted layered containment of an influenza pandemic in the United States.

Authors:  M Elizabeth Halloran; Neil M Ferguson; Stephen Eubank; Ira M Longini; Derek A T Cummings; Bryan Lewis; Shufu Xu; Christophe Fraser; Anil Vullikanti; Timothy C Germann; Diane Wagener; Richard Beckman; Kai Kadau; Chris Barrett; Catherine A Macken; Donald S Burke; Philip Cooley
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-10       Impact factor: 11.205

4.  Geographic dependence, surveillance, and origins of the 2009 influenza A (H1N1) virus.

Authors:  Vladimir Trifonov; Hossein Khiabanian; Raul Rabadan
Journal:  N Engl J Med       Date:  2009-05-27       Impact factor: 91.245

5.  The timing of influenza vaccination for older adults (65 years and older).

Authors:  Bruce Y Lee; Julie H Y Tai; Rachel R Bailey; Kenneth J Smith
Journal:  Vaccine       Date:  2009-09-26       Impact factor: 3.641

6.  Incidence of 2009 pandemic influenza A H1N1 infection in England: a cross-sectional serological study.

Authors:  Elizabeth Miller; Katja Hoschler; Pia Hardelid; Elaine Stanford; Nick Andrews; Maria Zambon
Journal:  Lancet       Date:  2010-01-21       Impact factor: 79.321

7.  Estimating the impact of school closure on influenza transmission from Sentinel data.

Authors:  Simon Cauchemez; Alain-Jacques Valleron; Pierre-Yves Boëlle; Antoine Flahault; Neil M Ferguson
Journal:  Nature       Date:  2008-04-10       Impact factor: 49.962

8.  Serum cross-reactive antibody response to a novel influenza A (H1N1) virus after vaccination with seasonal influenza vaccine.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2009-05-22       Impact factor: 17.586

9.  Strategies for mitigating an influenza pandemic.

Authors:  Neil M Ferguson; Derek A T Cummings; Christophe Fraser; James C Cajka; Philip C Cooley; Donald S Burke
Journal:  Nature       Date:  2006-04-26       Impact factor: 49.962

10.  Protecting health care workers: a pandemic simulation based on Allegheny County.

Authors:  Philip Cooley; Bruce Y Lee; Shawn Brown; James Cajka; Bernadette Chasteen; Laxminarayana Ganapathi; James H Stark; William D Wheaton; Diane K Wagener; Donald S Burke
Journal:  Influenza Other Respir Viruses       Date:  2010-03       Impact factor: 4.380

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  34 in total

1.  Exploring the potential public health benefits of universal influenza vaccine.

Authors:  Jay V DePasse; Mary Patricia Nowalk; Kenneth J Smith; Jonathan M Raviotta; Eunha Shim; Richard K Zimmerman; Shawn T Brown
Journal:  Hum Vaccin Immunother       Date:  2019-06-18       Impact factor: 3.452

2.  Does Choice of Influenza Vaccine Type Change Disease Burden and Cost-Effectiveness in the United States? An Agent-Based Modeling Study.

Authors:  Jay V DePasse; Kenneth J Smith; Jonathan M Raviotta; Eunha Shim; Mary Patricia Nowalk; Richard K Zimmerman; Shawn T Brown
Journal:  Am J Epidemiol       Date:  2017-05-01       Impact factor: 4.897

3.  Does cost-effectiveness of influenza vaccine choice vary across the U.S.? An agent-based modeling study.

Authors:  Jay V DePasse; Mary Patricia Nowalk; Kenneth J Smith; Jonathan M Raviotta; Eunha Shim; Richard K Zimmerman; Shawn T Brown
Journal:  Vaccine       Date:  2017-06-09       Impact factor: 3.641

4.  A systematic review of COVID-19 transport policies and mitigation strategies around the globe.

Authors:  Francisco Calderón Peralvo; Patricia Cazorla Vanegas; Elina Avila-Ordóñez
Journal:  Transp Res Interdiscip Perspect       Date:  2022-07-18

5.  Respiratory pandemics, urban planning and design: A multidisciplinary rapid review of the literature.

Authors:  Patrick Harris; Ben Harris-Roxas; Jason Prior; Nicky Morrison; Erica McIntyre; Jane Frawley; Jon Adams; Whitney Bevan; Fiona Haigh; Evan Freeman; Myna Hua; Jennie Pry; Soumya Mazumdar; Ben Cave; Francesca Viliani; Benjamin Kwan
Journal:  Cities       Date:  2022-05-30

6.  Covid-19 and optimal urban transport policy.

Authors:  Bruno De Borger; Stef Proost
Journal:  Transp Res Part A Policy Pract       Date:  2022-07-04       Impact factor: 6.615

7.  School closure as an influenza mitigation strategy: how variations in legal authority and plan criteria can alter the impact.

Authors:  Margaret A Potter; Shawn T Brown; Phillip C Cooley; Patricia M Sweeney; Tina B Hershey; Sherrianne M Gleason; Bruce Y Lee; Christopher R Keane; John Grefenstette; Donald S Burke
Journal:  BMC Public Health       Date:  2012-11-14       Impact factor: 3.295

8.  Is population structure sufficient to generate area-level inequalities in influenza rates? An examination using agent-based models.

Authors:  Supriya Kumar; Kaitlin Piper; David D Galloway; James L Hadler; John J Grefenstette
Journal:  BMC Public Health       Date:  2015-09-23       Impact factor: 3.295

9.  Enhancement of collective immunity in Tokyo metropolitan area by selective vaccination against an emerging influenza pandemic.

Authors:  Masaya M Saito; Seiya Imoto; Rui Yamaguchi; Masaharu Tsubokura; Masahiro Kami; Haruka Nakada; Hiroki Sato; Satoru Miyano; Tomoyuki Higuchi
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

10.  Epidemic spread simulation in an area with a high-density crowd using a SEIR-based model.

Authors:  Jibiao Zhou; Sheng Dong; Changxi Ma; Yao Wu; Xiao Qiu
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

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