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Using network properties to predict disease dynamics on hum..:
Ames, Gregory M.
;
George, Dylan B.
;
Hampson, Christian P.
...
Proceedings: Biological Sciences. 278 (2011) 1724 - p. 3544-3550 , 2011
Link:
https://www.jstor.org/stable/41315107
RT Journal T1
Using network properties to predict disease dynamics on human contact networks
UL https://suche.suub.uni-bremen.de/peid=jstor-41315107&Exemplar=1&LAN=DE A1 Ames, Gregory M. A1 George, Dylan B. A1 Hampson, Christian P. A1 Kanarek, Andrew R. A1 McBee, Cayla D. A1 Lockwood, Dale R. A1 Achter, Jeffrey D. A1 Webb, Colleen T. PB The Royal Society YR 2011 SN 0962-8452 K1 Health sciences K1 Medical sciences K1 Medical research K1 Biomedical research K1 Disease models K1 Health and wellness K1 Public health K1 Epidemiology K1 Medical conditions K1 Diseases K1 Infectious diseases K1 Endemic diseases K1 Applied sciences K1 Research methods K1 Modeling K1 Disease outbreaks K1 Immunology K1 Disease susceptibility K1 Viral diseases K1 RNA viral infections K1 Picornaviridae infections K1 Foot and mouth disease K1 Health outcomes K1 Medical specialties K1 Pathology JF Proceedings: Biological Sciences VO 278 IS 1724 SP 3544 OP 3550 LK http://dx.doi.org/https://www.jstor.org/stable/41315107 DO https://www.jstor.org/stable/41315107 SF ELIB - SuUB Bremen
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