DocumentCode
2711540
Title
The role of different transportation in the spreading of new pandemic influenza in mainland China
Author
Zhang, Yun ; Zhang, Yong ; Liu, Zhigang
Author_Institution
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
6
Abstract
In March 2009, influenza A(H1N1) was first detected in Mexico, and quickly spread to other countries. Civil aviation traffic played a very important role during the global spread of the epidemic. We build a spatial-temporal model to simulate the spreading process of influenza A(H1N1) at two spatial scales: simulating case evolution within province and inter-provincial spread in mainland China. Using inter-provincial passenger traffic data of railway, civil aviation and highway transportation, we calculate the daily probability of mobility of individuals between the 31 provinces by different transportation routes and analyze the effect of these three forms of transport upon travel between provinces. Simulation experiments about spreading process of pandemic influenza A(H1N1) have been done with different probability data. According to these simulation data, we evaluate the influence on the spatial distribution of cases at the national scale caused by different modes of transportation.
Keywords
data analysis; diseases; epidemics; microorganisms; probability; road traffic; transportation; civil aviation traffic data; daily probability; epidemics; global spread; highway transportation traffic data; interprovincial passenger traffic data; interprovincial spread; mainland China; pandemic influenza A(H1N1); railway traffic data; spatial-temporal model; spreading process; transport forms; transportation modes; Atmospheric modeling; Cities and towns; Data models; Influenza; Probability; Rail transportation; Road transportation; pandemic influenza A(H1N1); simulation model; spatial distribution; traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5981012
Filename
5981012
Link To Document