Transmission Dynamics and Control of Severe Acute Respiratory Syndrome

By Marc Lipsitch, T. Cohen, B. Cooper, James M. Robins, Stefan Ma, L. James, G. Gopalakrishna, S. Chew, C. Tan, Matthew H. Samore and 2 more. Science, 2003

1,497 citations recorded by the source corpus.

Subfields: Infectious Diseases, Modeling and Simulation, Obstetrics and Gynecology

View Paper: https://www.semanticscholar.org/paper/684e8512c6ef00b1af436a5f1c0c9d1dee06fc06

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In Infectious Diseases

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Citations in the corpus

State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--3. (2012, background): “That is, each case generated on average three other cases, and each of these would be expected to generate an average of three further cases, and so on, leading to an exponentially increasing epidemic [15] .”
Why is it difficult to accurately predict the COVID-19 epidemic? (2020, neutral): “For the SARS epidemic, the ratio rwas in the range of 1=5 1=2 (Chowell et al., 2004; Gumel et al., 2004; Lipsitch et al., 2003; Zhang et al., 2005).”
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia (2020, methodology): “8.(11) Analyses of the incubation period, serial interval, growth rate, and R 0 were performed with the use of MATLAB software (MathWorks).”
Mathematical models of infectious disease transmission (2008, background): “This threshold property means that estimation of R provides important information about the potential for disease transmission and the impact of disease control [15] [16] [17] [18] [19] .”
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases (2008, background): “Preparing for outbreaks of directly transmitted pathogens such as pandemic influenza [1] [2] [3] and SARS [4] [5] [6] [7] [8] [9] , and controlling endemic diseases such as tuberculosis and meningococcal diseases, are major public health priorities.”
Superspreading and the effect of individual variation on disease emergence (2005, background): “data to investigate speciﬁc questions in light of observed variation 8,16 , but a broad understanding of the role of individual variation in outbreak dynamics is lacking.”
Coupled disease–behavior dynamics on complex networks: A review (2015, background): “It is interesting that, compared with the prediction of well-mixed population, the same set of basic reproductive number may lead to completely epidemiological outcomes in any two processes, which sheds light to the heterogeneity of SARS around the world.”
Sensitivity analysis practices: Strategies for model-based inference (2006, methodology): “If the analysis is limited to an Uncertainty Analysis [61–63,64–75], the implementation of a plain error propagation of all uncertainty sources simultaneously with a Monte Carlo approach is intuitive and straightforward and should not imply methodological problems [64,69,71].”
Serial Interval of COVID-19 among Publicly Reported Confirmed Cases (2020, background): “Given these negative-valued serial intervals, COVID-19 serial intervals seem to resemble a normal distribution more than the commonly assumed gamma or Weibull distributions (4,5), which are limited to positive values (Appendix, https://wwwnc.”