Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Longini Jr, Ira M"'
Autor:
Pillai, Alexander N., Toh, Kok Ben, Perdomo, Dianela, Bhargava, Sanjana, Stoltzfus, Arlin, Longini Jr., Ira M., Pearson, Carl A. B., Hladish, Thomas J.
The onset of the COVID-19 pandemic drove a widespread, often uncoordinated effort by research groups to develop mathematical models of SARS-CoV-2 to study its spread and inform control efforts. The urgent demand for insight at the outset of the pande
Externí odkaz:
http://arxiv.org/abs/2306.11003
Autor:
Mistry, Dina, Litvinova, Maria, Piontti, Ana Pastore y, Chinazzi, Matteo, Fumanelli, Laura, Gomes, Marcelo F. C., Haque, Syed A., Liu, Quan-Hui, Mu, Kunpeng, Xiong, Xinyue, Halloran, M. Elizabeth, Longini Jr., Ira M., Merler, Stefano, Ajelli, Marco, Vespignani, Alessandro
Mathematical and computational modeling approaches are increasingly used as quantitative tools in the analysis and forecasting of infectious disease epidemics. The growing need for realism in addressing complex public health questions is however call
Externí odkaz:
http://arxiv.org/abs/2003.01214
Akademický článek
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Akademický článek
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Akademický článek
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Publikováno v:
PLoS Computational Biology 12(4): e1004869, April 2016
Recent work has attempted to use whole-genome sequence data from pathogens to reconstruct the transmission trees linking infectors and infectees in outbreaks. However, transmission trees from one outbreak do not generalize to future outbreaks. Recons
Externí odkaz:
http://arxiv.org/abs/1507.04178
Autor:
Koepke, Amanda A., Longini Jr., Ira M., Halloran, M. Elizabeth, Wakefield, Jon, Minin, Vladimir N.
Despite seasonal cholera outbreaks in Bangladesh, little is known about the relationship between environmental conditions and cholera cases. We seek to develop a predictive model for cholera outbreaks in Bangladesh based on environmental predictors.
Externí odkaz:
http://arxiv.org/abs/1402.0536
Publikováno v:
Annals of Applied Statistics 2011, Vol. 5, No. 3, 1816-1838
Acute respiratory diseases are transmitted over networks of social contacts. Large-scale simulation models are used to predict epidemic dynamics and evaluate the impact of various interventions, but the contact behavior in these models is based on si
Externí odkaz:
http://arxiv.org/abs/1111.5993
Publikováno v:
Annals of Applied Statistics 2012, Vol. 6, No. 1, 1-26
Many epidemic models approximate social contact behavior by assuming random mixing within mixing groups (e.g., homes, schools and workplaces). The effect of more realistic social network structure on estimates of epidemic parameters is an open area o
Externí odkaz:
http://arxiv.org/abs/1109.0262
Publikováno v:
Annals of Applied Statistics 2008, Vol. 2, No. 4, 1409-1431
In vaccine studies for infectious diseases such as human immunodeficiency virus (HIV), the frequency and type of contacts between study participants and infectious sources are among the most informative risk factors, but are often not adequately adju
Externí odkaz:
http://arxiv.org/abs/0901.4025