Transmission Dynamics of the Etiological Agent of SARS in Hong Kong: Impact of Public Health Interventions
By S. Riley, Christophe Fraser, C. Donnelly, A. Ghani, L. Abu-Raddad, A. Hedley, G. Leung, L. Ho, T. Lam, T. Thach and 10 more. Science, 2003
1,159 citations recorded by the source corpus.
Subfields: Epidemiology, Infectious Diseases, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/cc941542c448fd090ad47a487be74af9fb5d98fc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Epidemiology
- Christophe Fraser
- Marc Lipsitch
- Nicholas C. Grassly
- Simon Cauchemez
- Mark Jit
- James M. Robins
- Christina E. Mills
- Alessandro Vespignani
In Infectious Diseases
- Kwok-Yung Yuen
- S. Perlman
- Nicholas C. Grassly
- Marc Lipsitch
- Mark Jit
- Susanna K. P. Lau
- Kiesha Prem
- M. Keeling
In Modeling and Simulation
- Christophe Fraser
- Nicholas C. Grassly
- Alessandro Vespignani
- Marc Lipsitch
- Simon Cauchemez
- Mark Jit
- M. Keeling
- Neil M. Ferguson
Citations in the corpus
- Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases (2008, background): “This similarity implies that the results may well be applicable to other European countries, and that the initial phase of spread of newly emerging infections in susceptible populations, such as SARS was in 2003, is likely to be very similar across Europe and in countries with similar social structu”
- Network theory and SARS: predicting outbreak diversity (2004, background): “The simulations are based on data for the city of Vancouver, British Columbia.”
- Solutions of the SIR models of epidemics using HAM (2009, background): “Epidemic models has been widely used in different forms for studying epidemiological processes such as the spread of influenza [9] and SARS [2,8,11] and even for the spread of rumors [13,14].”
- Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models (2008, methodology): “For example, the 2003 SARS epidemic appears to have been quenched through contact reduction (Wallinga and Teunis 2004, Riley et al. 2003, Lipsitch et al. 2003).”
- Networks and epidemic models (2005, background): “…such high-risk individuals help to maintain sexually transmitted diseases in a population where the majority are in long-term monogamous relationships (Hethcote & Yorke 1984), while in the SARS epidemic, a significant proportion of all infections were caused by super-spreaders (Riley et al. 2003).”