Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study
Open Access
- 21 November 2007
- journal article
- Published by Springer Science and Business Media LLC in BMC Medicine
- Vol. 5 (1), 34
- https://doi.org/10.1186/1741-7015-5-34
Abstract
21 pages, 2 tables, 7 figuresBackground: The global spread of the severe acute respiratory syndrome (SARS) epidemic has clearly shown the importance of considering the long-range transportation networks in the understanding of emerging diseases outbreaks. The introduction of extensive transportation data sets is therefore an important step in order to develop epidemic models endowed with realism. Methods: We develop a general stochastic meta-population model that incorporates actual travel and census data among 3 100 urban areas in 220 countries. The model allows probabilistic predictions on the likelihood of country outbreaks and their magnitude. The level of predictability offered by the model can be quantitatively analyzed and related to the appearance of robust epidemic pathways that represent the most probable routes for the spread of the disease. Results: In order to assess the predictive power of the model, the case study of the global spread of SARS is considered. The disease parameter values and initial conditions used in the model are evaluated from empirical data for Hong Kong. The outbreak likelihood for specific countries is evaluated along with the emerging epidemic pathways. Simulation results are in agreement with the empirical data of the SARS worldwide epidemic. Conclusions: The presented computational approach shows that the integration of long-range mobility and demographic data provides epidemic models with a predictive power that can be consistently tested and theoretically motivated. This computational strategy can be therefore considered as a general tool in the analysis and forecast of the global spreading of emerging diseases and in the definition of containment policies aimed at reducing the effects of potentially catastrophic outbreaksKeywords
This publication has 32 references indexed in Scilit:
- Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment InterventionsPLoS Medicine, 2007
- Dynamically Modeling SARS and Other Newly Emerging Respiratory IllnessesEpidemiology, 2005
- Network theory and SARS: predicting outbreak diversityJournal of Theoretical Biology, 2004
- Modelling potential responses to severe acute respiratory syndrome in Japan: the role of initial attack size, precaution, and quarantineJournal of Epidemiology and Community Health, 2004
- Simulating the SARS outbreak in Beijing with limited dataJournal of Theoretical Biology, 2003
- A simple approximate mathematical model to predict the number of severe acute respiratory syndrome cases and deathsJournal of Epidemiology and Community Health, 2003
- Transmission Dynamics and Control of Severe Acute Respiratory SyndromeScience, 2003
- Transmission Dynamics of the Etiological Agent of SARS in Hong Kong: Impact of Public Health InterventionsScience, 2003
- Modeling the SARS EpidemicScience, 2003
- A mathematical model for the global spread of influenzaMathematical Biosciences, 1985