Prediction of Peaks of Seasonal Influenza in Military Health-Care Data

Autor: Anna L. Buczak, Benjamin Baugher, Erhan Guven, Linda Moniz, Steven M. Babin, Jean-Paul Chretien

Publikováno v: Biomedical Engineering and Computational Biology, Vol 2016, Iss Suppl. 2, Pp 15-26 (2016)

Externí odkaz: https://doaj.org/article/b76f16e652264b40ba77476f6153438d

Prediction of high incidence of dengue in the Philippines.

Autor: Anna L Buczak, Benjamin Baugher, Steven M Babin, Liane C Ramac-Thomas, Erhan Guven, Yevgeniy Elbert, Phillip T Koshute, John Mark S Velasco, Vito G Roque, Enrique A Tayag, In-Kyu Yoon, Sheri H Lewis

Publikováno v: PLoS Neglected Tropical Diseases, Vol 8, Iss 4, p e2771 (2014)

BACKGROUND: Accurate prediction of dengue incidence levels weeks in advance of an outbreak may reduce the morbidity and mortality associated with this neglected disease. Therefore, models were developed to predict high and low dengue incidence in ord

Externí odkaz: https://doaj.org/article/f2b31a868ac048dcaa0d9715d6162993

An open challenge to advance probabilistic forecasting for dengue epidemics

Autor: Rita R. Colwell, Luis Mier-y-Teran-Romero, Robert B. Gramacy, Linda J. Moniz, Jeremy M. Cohen, Teresa K. Yamana, David Manheim, Alicia Juarrero, Thomas Bagley, Travis C. Porco, Christopher M. Barker, Matteo Convertino, Aaron Lane, Jason Asher, Raffaele Vardavas, David L. Swerdlow, Rakibul Khan, Evan L. Ray, Jesse E. Bell, Michael A. Johansson, Justin Lessler, Xavier Rodó, Anna M. Stewart-Ibarra, Erin A. Mordecai, Antarpreet Jutla, Jason Devita, Jason R. Rohr, Sadie J. Ryan, Abraham Reddy, Melinda Moore, Sarah F Ackley, Brett M. Forshey, Terry Moschou, Osonde A. Osoba, Jeffrey Shaman, Krzysztof Sakrejda, Steven M. Babin, Nicholas G. Reich, Juli Trtanj, Ryan J. Tibshirani, Gao Jiang, Andrew M. Hebbeler, Matthew Biggerstaff, Erhan Guven, Lee Worden, Fengchen Liu, Anna L. Buczak, Brenda Rivera-Garcia, Markel García-Díez, David C. Farrow, Benjamin Baugher, Karyn M. Apfeldorf, Rachel Lowe, Dylan B. George, Richard Paul, Trevor C. Bailey, Scott Dobson, Roni Rosenfeld, Leah R. Johnson, Nick Lothian, Derek A. T. Cummings, Dhananjai M. Rao, Courtney C. Murdock, Sean M. Moore, Tridip Sardar, Daniel P. Weikel, Marilia Sá Carvalho, Jorge Rivero, Marissa Poultney, Matt Clay, Grant Osborne, Jean Paul Chretien, Alexandria C. Brown, Sangwon Hyun, Logan C. Brooks, Humberto Brito, Xi Meng, Stephen A. Lauer, Hannah E. Clapham, Yang Liu, Harold S. Margolis, Eloy Ortiz

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, 2019, 116 (48), pp.24268-24274. ⟨10.1073/pnas.1909865116⟩
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2019, 116 (48), pp.24268-24274. ⟨10.1073/pnas.1909865116⟩
Proc Natl Acad Sci U S A
Proceedings of the National Academy of Sciences of the United States of America, vol 116, iss 48

Significance Forecasts routinely provide critical information for dangerous weather events but not yet for epidemics. Researchers develop computational models that can be used for infectious disease forecasting, but forecasts have not been broadly co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c7ae51cab49a76f150d9090333147a5
http://europepmc.org/articles/PMC6883829

Predicting influenza with dynamical methods

Autor: Anna L. Buczak, Jean-Paul Chretien, Linda J. Moniz, Erhan Guven, Benjamin Baugher

Publikováno v: BMC Medical Informatics and Decision Making

Background Prediction of influenza weeks in advance can be a useful tool in the management of cases and in the early recognition of pandemic influenza seasons. Methods This study explores the prediction of influenza-like-illness incidence using both

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44c2f88bbe9df3cdf8f2ec616ee9ccb5
http://europepmc.org/articles/PMC5070096

Temperature dependence of the birefringence of SiC

Autor: Benjamin Baugher, Jonathan T. Goldstein

Publikováno v: Optical Materials. 23:519-528

Measurements of the birefringence of 6H-SiC, as well as its temperature dependence, are presented. The results are used to explore the possibilities this material presents as a mid-infrared non-linear optical parametric oscillator.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e8572910eb960774eabc3866ca7067b
https://doi.org/10.1016/s0925-3467(03)00017-x