Simulation Model of Pandemic Influenza in the Whole of Japan
Authored by Yasushi Ohkusa, Tamie Sugawara
Date Published: 2009
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Abstract
An influenza pandemic-an outbreak of a novel influenza virus that
spreads around the world-is a real threat. To predict the spread of an
influenza pandemic across the whole of Japan, this study applies a real
individual-based model (ribm) to the whole of Japan and simulates how a
single case of influenza could spark pandemic influenza throughout
Japan. We used Person-Trip (PT) data for nine regions (the Tokyo
metropolitan area, Kansai, Chukyo, Fukuoka, Sendai, Sapporo, Miyazaki, Okinawa, and northern Ibaragi). PT data were collected from randomly
chosen persons and contain information on their locations and their uses
of all transportation modes including trains, cars, buses, bicycles, and
walking. In total, the nine regions have a population of about 72
million, of whom more than 2.20 million individuals participated in the
PT surveys. Estimates on the probability of movement among the nine PT
regions are based on the results of the Third National Survey for
Movement in 2003. Disease transmission in each region or on a train is
assumed to occur within a 1-m radius. The approximate numbers of new
cases arising on day 14 after the arrival of the first infected person
are estimated to be 322,000 in Tokyo, 25,000 in Kansai, 4,800 in Chukyo, 3,600 in Sapporo, 2,600 in Fukuoka, 600 in Sendai, 17 in Okinawa, and
300 in Miyazaki. The disease seems to spread more slowly in smaller
cities such as Miyazaki and Okinawa than in big cities such as Tokyo and
Kansai. Area quarantines may help to contain outbreaks in smaller
cities, but probably not in larger cities. Because this study
demonstrates that ribm is useful for simulating the spread of pandemic
influenza in Japan, it is hoped that this modeling technique will be
used in the creation of preparedness plans.
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Design
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Mitigation