TY - JOUR
T1 - The role of subway travel in an influenza epidemic
T2 - A New York city simulation
AU - Cooley, Philip
AU - Brown, Shawn
AU - Cajka, James
AU - Chasteen, Bernadette
AU - Ganapathi, Laxminarayana
AU - Grefenstette, John
AU - Hollingsworth, Craig R.
AU - Lee, Bruce Y.
AU - Levine, Burton
AU - Wheaton, William D.
AU - Wagener, Diane K.
N1 - Funding Information:
This study was supported by the following grants from the Models of Infectious Disease Agent Study (MIDAS), RTI-U01-GM070698, and the University of Pittsburgh, 1U54GM088491-0109. The authors also wish to acknowledge and thank the New York City Department of Health and Mental Hygiene. In particular, the paper benefitted from extensive discussions with Dr. Bonnie Kerker, Assistant Commissioner New York City Department of Health and Mental Hygiene. We also wish to thank Farzad Mostashari, Senior Advisor, Office of the National Coordinator for Health IT, U.S. Department of Health and Human Services, for his participation in the discussion.
PY - 2011/10
Y1 - 2011/10
N2 - 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.
AB - 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.
KW - Agent-based model
KW - Computer simulation
KW - Human influenza
KW - Infectious disease transmission
KW - Pandemic
KW - Subway travel
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U2 - 10.1007/s11524-011-9603-4
DO - 10.1007/s11524-011-9603-4
M3 - Article
C2 - 21826584
AN - SCOPUS:84855304645
SN - 1099-3460
VL - 88
SP - 982
EP - 995
JO - Journal of Urban Health
JF - Journal of Urban Health
IS - 5
ER -