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of 102
pro vyhledávání: '"Hladish, Thomas"'
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:
Hoen, Anne G, Hladish, Thomas J, Eggo, Rosalind M, Lenczner, Michael, Brownstein, John S, Meyers, Lauren Ancel
Publikováno v:
Journal of Medical Internet Research, Vol 17, Iss 7, p e169 (2015)
BackgroundMultiple waves of transmission during infectious disease epidemics represent a major public health challenge, but the ecological and behavioral drivers of epidemic resurgence are poorly understood. In theory, community structure—aggregati
Externí odkaz:
https://doaj.org/article/72c386738f4d4022ad85899382dd6cac
Autor:
Pillai, Alexander N., Toh, Kok Ben, Perdomo, Dianela, Bhargava, Sanjana, Stoltzfus, Arlin, Longini, Ira M., Jr, Pearson, Carl A.B., Hladish, Thomas J.
Publikováno v:
In Epidemics June 2024 47
Autor:
Hladish, Thomas J.1,2 (AUTHOR) tjhladish@gmail.com, Pillai, Alexander N.1 (AUTHOR), Pearson, Carl A. B.3,4 (AUTHOR), Toh, Kok Ben1,5 (AUTHOR), Tamayo, Andrea C.1 (AUTHOR), Stoltzfus, Arlin6 (AUTHOR), Longini, Ira M.2,7 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 5/31/2024, Vol. 20 Issue 5, p1-16. 16p.
The World Health Organisation currently recommends pre-screening for past infection prior to administration of the only licensed dengue vaccine, CYD-TDV. Using a bounding analysis, we show that despite additional testing costs, this approach can impr
Externí odkaz:
http://arxiv.org/abs/1904.00214
Autor:
Henry, Christopher J., Pillai, Alexander N., Lednicky, John A., Morris, J. Glenn, Jr., Hladish, Thomas J.
Publikováno v:
In Epidemics June 2022 39
Autor:
Hladish, Thomas J., Pearson, Carl A. B., Toh, Kok Ben, Rojas, Diana Patricia, Manrique-Saide, Pablo, Vazquez-Prokopec, Gonzalo M., Halloran, M. Elizabeth, Longini, Ira M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Feb 01. 117(6), 3319-3325.
Externí odkaz:
https://www.jstor.org/stable/26928782
Autor:
Hladish, Thomas Joseph
Epidemiological models traditionally make the assumption that populations are homogeneous. By relaxing that assumption, models often become more complicated, but better representations of the real world. Here we describe new computational tools for s
Externí odkaz:
http://hdl.handle.net/2152/ETD-UT-2012-08-5982
Akademický článek
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Publikováno v:
In Infectious Disease Modelling 2019 4:239-250