Transmission and control of an emerging influenza pandemic in a small-world airline network

被引:34
作者
Hsu, Chaug-Ing [1 ]
Shih, Hsien-Hung [1 ]
机构
[1] Natl Chiao Tung Univ, Dept Transportat Technol & Management, Hsinchu 30010, Taiwan
关键词
Dynamic model; Epidemic; Air travel; Connectivity; ACUTE RESPIRATORY SYNDROME; AVIAN INFLUENZA; SPREAD; MODELS; VIRUS;
D O I
10.1016/j.aap.2009.07.004
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
The avian influenza virus H5N1 and the 2009 swine flu HIM are potentially serious pandemic threats to human health, and air travel readily facilitates the spread of infectious diseases. However, past studies have not yet incorporated the effects of air travel on the transmission of influenza in the construction of mathematical epidemic models. Therefore, this paper focused on the human-to-human transmission of influenza, and investigated the effects of air travel activities on an influenza pandemic in a small-world network. These activities of air travel include passengers' consolidation, conveyance and distribution in airports and flights. Dynamic transmission models were developed to assess the expected burdens of the pandemic, with and without control measures. This study also investigated how the small-world properties of an air transportation network facilitate the spread of influenza around the globe. The results show that, as soon as the influenza is spread to the top 50 global airports, the transmission is greatly accelerated. Under the constraint of limited resources, a strategy that first applies control measures to the top 50 airports after day 13 and then soon afterwards to all other airports may result in remarkable containment effectiveness. As the infectiousness of the disease increases, it will expand the scale of the pandemic, and move the start time of the pandemic ahead. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:93 / 100
页数:8
相关论文
共 24 条
[1]   Comparison of deterministic and stochastic SIS and SIR models in discrete time [J].
Allen, LJS ;
Burgin, AM .
MATHEMATICAL BIOSCIENCES, 2000, 163 (01) :1-33
[2]   Public health interventions and SARS spread 2003 [J].
Bell, DM .
EMERGING INFECTIOUS DISEASES, 2004, 10 (11) :1900-1906
[3]  
Brahmbhatt M., 2005, AVIAN HUMAN PANDEMIC
[4]   Avian influenza and human health [J].
Capua, I ;
Alexander, DJ .
ACTA TROPICA, 2002, 83 (01) :1-6
[5]  
Centers for Disease Control and Prevention (CDC), 2003, MMWR Morb Mortal Wkly Rep, V52, P680
[6]   The role of the airline transportation network in the prediction and predictability of global epidemics [J].
Colizza, V ;
Barrat, A ;
Barthélemy, M ;
Vespignani, A .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (07) :2015-2020
[7]   Modeling the worldwide spread of pandemic influenza: Baseline case and containment interventions [J].
Colizza, Vittoria ;
Barrat, Alain ;
Barthelemy, Marc ;
Valleron, Alain-Jacques ;
Vespignani, Alessandro .
PLOS MEDICINE, 2007, 4 (01) :95-110
[8]  
Daley DJ, 1999, EPIDEMIC MODELLING I
[9]   Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong [J].
Donnelly, CA ;
Ghani, AC ;
Leung, GM ;
Hedley, AJ ;
Fraser, C ;
Riley, S ;
Abu-Raddad, LJ ;
Ho, LM ;
Thach, TQ ;
Chau, P ;
Chan, KP ;
Lam, TH ;
Tse, LY ;
Tsang, T ;
Liu, SH ;
Kong, JHB ;
Lau, EMC ;
Ferguson, NM ;
Anderson, RM .
LANCET, 2003, 361 (9371) :1761-1766
[10]   Strategies for containing an emerging influenza pandemic in Southeast Asia [J].
Ferguson, NM ;
Cummings, DAT ;
Cauchemez, S ;
Fraser, C ;
Riley, S ;
Meeyai, A ;
Iamsirithaworn, S ;
Burke, DS .
NATURE, 2005, 437 (7056) :209-214