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本文引用的文献
1
Modeling epidemics using cellular automata.
Appl Math Comput. 2007 Mar 1;186(1):193-202. doi: 10.1016/j.amc.2006.06.126. Epub 2006 Sep 15.
2
A Distributed Platform for Global-Scale Agent-Based Models of Disease Transmission.
ACM Trans Model Comput Simul. 2011 Dec;22(1):2. doi: 10.1145/2043635.2043637.
3
Epidemic and intervention modelling--a scientific rationale for policy decisions? Lessons from the 2009 influenza pandemic.
Bull World Health Organ. 2012 Apr 1;90(4):306-10. doi: 10.2471/BLT.11.097949.
4
Comparing effectiveness of top-down and bottom-up strategies in containing influenza.
PLoS One. 2011;6(9):e25149. doi: 10.1371/journal.pone.0025149. Epub 2011 Sep 22.
5
The use of mathematical models to inform influenza pandemic preparedness and response.
Exp Biol Med (Maywood). 2011 Aug;236(8):955-61. doi: 10.1258/ebm.2010.010271. Epub 2011 Jul 4.
6
Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1.
Biosecur Bioterror. 2011 Jun;9(2):89-115. doi: 10.1089/bsp.2011.0007.
7
Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models.
BMC Infect Dis. 2010 Jun 29;10:190. doi: 10.1186/1471-2334-10-190.
8
FluTE, a publicly available stochastic influenza epidemic simulation model.
PLoS Comput Biol. 2010 Jan 29;6(1):e1000656. doi: 10.1371/journal.pcbi.1000656.
9
The role of population heterogeneity and human mobility in the spread of pandemic influenza.
Proc Biol Sci. 2010 Feb 22;277(1681):557-65. doi: 10.1098/rspb.2009.1605. Epub 2009 Oct 28.
10
Reproductive numbers, epidemic spread and control in a community of households.
Math Biosci. 2009 Sep;221(1):11-25. doi: 10.1016/j.mbs.2009.06.002. Epub 2009 Jun 25.
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