Seasonal population dynamics and behaviour of insects in models of vector-borne pathogens.
作者信息
Lord Cynthia C
机构信息
Florida Medical Entomology Laboratory, University of Florida, U.S.A.
出版信息
Physiol Entomol. 2004;29(3):214-222. doi: 10.1111/j.0307-6962.2004.00411.x.
Abstract
摘要
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本文引用的文献
1
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2
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Am Nat. 2002 Jan;159(1):57-80. doi: 10.1086/324119.
3
Seasonal forecast of St. Louis encephalitis virus transmission, Florida.
Emerg Infect Dis. 2004 May;10(5):802-9. doi: 10.3201/eid1005.030246.
4
An epidemiological model for West Nile virus: invasion analysis and control applications.
Proc Biol Sci. 2004 Mar 7;271(1538):501-7. doi: 10.1098/rspb.2003.2608.
5
Simulation studies of St. Louis encephalitis virus in south Florida.
Vector Borne Zoonotic Dis. 2001 Winter;1(4):299-315. doi: 10.1089/15303660160025921.
6
The seasonal pattern of dengue in endemic areas: mathematical models of mechanisms.
Trans R Soc Trop Med Hyg. 2002 Jul-Aug;96(4):387-97. doi: 10.1016/s0035-9203(02)90371-8.
7
Fragile transmission cycles of tick-borne encephalitis virus may be disrupted by predicted climate change.
Proc Biol Sci. 2000 Sep 7;267(1454):1741-4. doi: 10.1098/rspb.2000.1204.
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Drought-induced amplification of Saint Louis encephalitis virus, Florida.
Emerg Infect Dis. 2002 Jun;8(6):575-80. doi: 10.3201/eid0806.010417.
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Nature. 2001 Dec 13;414(6865):716-23. doi: 10.1038/414716a.
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