Strategies for containing an emerging influenza pandemic in Southeast Asia

By Neil M. Ferguson, Derek A. T. Cummings, Simon Cauchemez, Christophe Fraser, S. Riley, A. Meeyai, S. Iamsirithaworn, D. Burke. Nature, 2005

1,948 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Epidemiology, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/7ac89035309bf00d3bca4f9fd9865b063350e552

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Citations in the corpus

Cross-Species Virus Transmission and the Emergence of New Epidemic Diseases (2008, background): “while retaining high human pathogenicity (25, 83).”
On the Use of Human Mobility Proxies for Modeling Epidemics (2013, background): “es in accessing commuting data when simulating spatial influenza spread, epidemic models have traditionally relied on mobility models to synthetically build patterns of movements at the desired scale [14, 15, 16]. The gravity model [17] and the recently proposed radiation model [18] have been shown ”
Google trends: a web-based tool for real-time surveillance of disease outbreaks. (2009, background): “1086/630200 promptly institute control measures and case finding and to ensure adequate access to treatment, thereby reducing morbidity and mortality [6, 7].”
Time lines of infection and disease in human influenza: a review of volunteer challenge studies. (2008, background): “6 days estimated from epidemiologic data (4) and substantially shorter than other epidemiologic modeling studies have assumed (2, 5).”
A high-resolution human contact network for infectious disease transmission (2010, methodology): “To simulate the spread of an influenza-like disease, we used an SEIR simulation model parameterized with data from influenza outbreaks (12, 32, 33).”
Avian Influenza Virus (H5N1): a Threat to Human Health (2007, background): “Simulation models of pandemics in silico have provided insights into the potential impact of options or combinations of options that may conceivably stop an incipient pandemic or mitigate its impact (51, 52, 135).”
Networks and the Epidemiology of Infectious Disease (2010, methodology): “The models of South-East Asia were primarily based on Thailand, and included demographic information and satellite-based spatial measures of population density.”
Absolute Humidity and the Seasonal Onset of Influenza in the Continental United States (2010, background): “Also, the effects of AH on influenza transmission should be incorporated into models accounting for travel and workflow [4,21,22] to explain the seasonal geographic spread of influenza.”
Projecting social contact matrices in 152 countries using contact surveys and demographic data (2017, result): “Heterogeneities in contact networks— in the sense of clustering of contacts within triadic structures and the existence of individuals or groups with many more contacts than average—has been shown in modelling studies (i) to have an effect on determining whether a pathogen can become epidemic [7–9] ”
COVID-19 control in China during mass population movements at New Year (2020, neutral): “[11] [12] [13] [14] [15] [16] [17] A single social distancing policy can cut epidemic spread, but usually multiple such policies-including more restrictive mea sures such as isolation and quarantine-are implemented in combination to boost effectiveness.”
Game Theory of Social Distancing in Response to an Epidemic (2010, result): “Thus, the simple epidemic model is often considered as a worst-case-scenario, when compared with more complex network models (29, 30) and agent-based models (31, 32, 33).”