The Role of Subway Travel in an Influenza Epidemic: A New York City Simulation
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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.
KeywordsComputer simulation Infectious disease transmission Human influenza Subway travel Agent-based model Pandemic
- 2.Centers for Disease Control and Prevention (CDC). Serum cross-reactive antibody response to a novel influenza A (H1N1) virus after vaccination with seasonal influenza vaccine. MMWR. 2009; 58(19): 521–4.Google Scholar
- 3.Wheaton WD, Cajka JC, Chasteen BM, Wagener DK, Cooley PC, Ganapathi L. Synthesized population databases: A U.S. geospatial database for agent-based models. http://www.rti.org/pubs/mr-0010-0905-wheaton.pdf. RTI Press. Published May 2009. Accessed December 16, 2010.
- 4.Hu PS, Reuscher TR. New York household travel patterns: a comparison analysis. Office of Transportation Policy and Strategy, New York State Department of Transportation, prepared by Oak Ridge National Laboratory. 2007. ORNL/TM-2006/624.Google Scholar
- 5.New York City Department of City Planning. Changes in employment and commuting patterns among workers in New York City and the New York Metropolitan Area, 2000–2007. http://www.nyc.gov/html/dcp/pdf/census/census_commute_patterns0007.pdf. Published December 2008. Accessed December 20, 2010.
- 6.New York City Department of Health and Mental Hygiene. 2006 community health survey. http://home2.nyc.gov/html/doh/html/survey/survey-2006.shtml. Accessed September 16, 2010.
- 7.Levine B, Wilcosky T, Wagener D, Cooley P. Mass commuting and influenza vaccination prevalence in New York City: protection in a mixing environment. Epidemics. 2010; 2: 183–188. doi:10.1016/j.epidem.2010.07.002.
- 18.Bonne J. Are we done with the 40-hour week? How technology, productivity and family change the way we work. BusSpec Rep; 2003. http://www.msnbc.msn.com/id/3072426. Accessed December 15, 2009.
- 22.Schaller B, Cohen A. Commuting, non-work travel and the changing city. http://www.schallerconsult.com/pub/commute.pdf. Schaller Consulting. Published 2002. Accessed September 16, 2010.
- 23.Nelder JA, Mead R. A simplex method for function minimization. Comput J. 1965; 7: 308–313.Google Scholar