Modelling the propagation of social response during a disease outbreak

Journal of the Royal Society Interface

Volumn 12, Issue 104, 2015, Pages

  Fast, Shannon M ^a,d   González, Marta C ^b   Wilson, James M ^c   Markuzon, Natasha ^d  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b Massachusetts Institute of Technology Cambridge   (United States)

^c Ascel Bio National Infectious Disease Forecast Center Ascel Bio LLC   (United States)

^d CHARLES STARK DRAPER LABORATORY   (United States)

Author keywords

Coupled networks; Data driven models; Epidemic spreading; Panic spreading; Social response

Indexed keywords

BIOPHYSICS; BIOTECHNOLOGY;

COUPLED NETWORKS; DATA-DRIVEN MODEL; EPIDEMIC SPREADING; PANIC SPREADING; SOCIAL RESPONSE;

EPIDEMIOLOGY;

2009 H1N1 INFLUENZA; ACCURACY; ARTICLE; CASE STUDY; CONTROLLED STUDY; DISEASE SEVERITY; DISEASE TRANSMISSION; EPIDEMIC; HONG KONG; HUMAN; INCIDENCE; MEXICO; NONBIOLOGICAL MODEL; PANDEMIC INFLUENZA; PANIC; PREDICTION; PREVALENCE; RISK; SEVERE ACUTE RESPIRATORY SYNDROME; SIMULATION; SOCIAL ASPECT; SOCIAL INTERACTION; SOCIAL RESPONSE; DISASTER PLANNING; DISEASE COURSE; GEOGRAPHY; INFLUENZA A VIRUS (H1N1); INFLUENZA, HUMAN; INTERPERSONAL COMMUNICATION; PUBLIC HEALTH; SOCIAL BEHAVIOR; SOCIAL MEDIA; THEORETICAL MODEL; TRANSMISSION;

COMMUNICATION; DISASTER PLANNING; DISEASE OUTBREAKS; DISEASE PROGRESSION; EPIDEMICS; GEOGRAPHY; HONG KONG; HUMANS; INFLUENZA A VIRUS, H1N1 SUBTYPE; INFLUENZA, HUMAN; MEXICO; MODELS, THEORETICAL; PUBLIC HEALTH; RISK; SEVERE ACUTE RESPIRATORY SYNDROME; SOCIAL BEHAVIOR; SOCIAL MEDIA;

EID: 84923247814     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2014.1105     Document Type: Article

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