Literature DB >> 18449643

Preparedness for the spread of influenza: prohibition of traffic, school closure, and vaccination of children in the commuter towns of Tokyo.

Hidenori Yasuda1, Nobuaki Yoshizawa, Mikio Kimura, Mika Shigematsu, Masaaki Matsumoto, Shoji Kawachi, Masamichi Oshima, Kenji Yamamoto, Kazuo Suzuki.   

Abstract

In Greater Tokyo, many people commute by train between the suburbs and downtown Tokyo for 1 to 2 h per day. The spread of influenza in the suburbs of Tokyo should be studied, including the role of commuters and the effect of government policies on the spread of disease. We analyzed the simulated spread of influenza in commuter towns along a suburban railroad, using the individual-based Monte Carlo method, and validated this analysis using surveillance data of the infection in the Tokyo suburbs. This simulation reflects the mechanism of the real spread of influenza in commuter towns. Three measures against the spread of influenza were analyzed: prohibition of traffic, school closure, and vaccination of school children. Prohibition of traffic was not effective after the introduction of influenza into the commuter towns, but, if implemented early, it was somewhat effective in delaying the epidemic. School closure delayed the epidemic and reduced the peak of the disease, but it was not as effective in decreasing the number of infected people. Vaccination of school children decreased the numbers not only of infected children but also of infected adults in the regional communities.

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Year:  2008        PMID: 18449643      PMCID: PMC2443241          DOI: 10.1007/s11524-008-9264-0

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


  31 in total

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4.  The Japanese experience with vaccinating schoolchildren against influenza.

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Journal:  Pediatrics       Date:  2001-08       Impact factor: 7.124

6.  Influence of school closure on the incidence of viral respiratory diseases among children and on health care utilization.

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7.  An influenza simulation model for immunization studies.

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  10 in total

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4.  Epidemic process over the commute network in a metropolitan area.

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5.  Spotting Epidemic Keystones by R0 Sensitivity Analysis: High-Risk Stations in the Tokyo Metropolitan Area.

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6.  Spatial transmission network construction of influenza-like illness using dynamic Bayesian network and vector-autoregressive moving average model.

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Review 9.  The effects of school closures on influenza outbreaks and pandemics: systematic review of simulation studies.

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10.  The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike.

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  10 in total

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