Long-range correlations improve understanding of the influence of network structure on contact dynamics

Theoretical Population Biology

Volumn 73, Issue 3, 2008, Pages 383-394

  Peyrard, N ^a   Dieckmann, U ^b   Franc, A ^c  

^a CEMAGREF   (France)

^b INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS   (Austria)

^c UMR 1202 BIOGECO   (France)

Author keywords

Contact process; Interaction network structure; Long range correlation; Moment closure; Phase transition

Indexed keywords

CLUSTER ANALYSIS; COMPARATIVE STUDY; EPIDEMIOLOGY; EXTINCTION; GEOMETRY; HOST-PATHOGEN INTERACTION; INFECTIOUS DISEASE; NUMERICAL METHOD; PERFORMANCE ASSESSMENT; PERSISTENCE; PHASE TRANSITION;

ARTICLE; COMMUNICABLE DISEASE; DISEASE TRANSMISSION; HUMAN; THEORETICAL MODEL;

COMMUNICABLE DISEASES; HUMANS; MODELS, THEORETICAL;

EID: 41249083355     PISSN: 00405809     EISSN: 10960325     Source Type: Journal    
DOI: 10.1016/j.tpb.2007.12.006     Document Type: Article

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