Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pragati V. Prasad"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract We expanded a published mathematical model of SARS-CoV-2 transmission with complex, age-structured transmission and with laboratory-derived source and wearer protection efficacy estimates for a variety of face masks to estimate their impact
Externí odkaz:
https://doaj.org/article/d0add4d1241d475ebee6adce3da6f071
Autor:
Jared Reynolds, Cindy R. Friedman, Rachel B. Slayton, Hannah Wolford, Ryan E. Wiegand, Aimee Treffiletti, Laura A S Quilter, Joanna J. Regan, Andrea Rodriguez, Hilary K. Wall, Stefanie B. White, Keisha Jenkins, Martin S. Cetron, Rena Fukunaga, Kara Tardivel, Lauren Ahart, Clive Brown, Ryan T. Novak, Stephanie Morrison, Pragati V. Prasad, Michael A. Johansson, Amy L. Freeland, Isabel Griffin, Sarah Anne J. Guagliardo
Publikováno v:
Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
Background Cruise travel contributed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission when there were relatively few cases in the United States. By 14 March 2020, the Centers for Disease Control and Prevention (CDC) issued
Publikováno v:
Scientific Reports. 12
We expanded a published mathematical model of SARS-CoV-2 transmission with complex, age-structured transmission and with laboratory-derived source and wearer protection efficacy estimates for a variety of face masks to estimate their impact on COVID-
Autor:
Sarah Kada, John T. Brooks, Michael A. Johansson, Matthew Biggerstaff, Jay C. Butler, Rachel B. Slayton, Talia M. Quandelacy, Pragati V. Prasad, Molly C. Steele
Publikováno v:
JAMA Network Open
Importance Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiology of coronavirus disease 2019 (COVID-19), is readily transmitted person to person. Optimal control of COVID-19 depends on directing resources and health messaging to
Autor:
Jordan W Tappero, Matthew Biggerstaff, Benjamin J. Cowling, Linh Dinh, Michael A. Johansson, Andrew Rambaut, Jonathan A. Polonsky, K Lane Warmbrod, Jessica Y. Wong, Natsuko Imai, Sarah Kada, Talia M. Quandelacy, Ana Pastore y Piontti, Neil M. Ferguson, Alessandro Vespignani, Verity Hill, Oliver Morgan, Huizhi Gao, Zulma M. Cucunubá, Katelijn Vandemaele, Pragati V. Prasad
Publikováno v:
Biggerstaff, M, Cowling, B J, Cucunubá, Z M, Dinh, L, Ferguson, N M, Gao, H, Hill, V, Imai, N, Johansson, M A, Kada, S, Morgan, O, Pastore y Piontti, A, Polonsky, J A, Venkata Prasad, P, Quandelacy, T M, Rambaut, A, Tappero, J W, Vandemaele, K A, Vespignani, A, Warmbrod, K L & Wong, J Y 2020, ' Early insights from statistical and mathematical modeling of key epidemiologic parameters of COVID-19 ', Emerging Infectious Diseases, vol. 26, no. 11 . https://doi.org/10.3201/eid2611.201074
Emerging Infectious Diseases
Emerging Infectious Diseases, Vol 26, Iss 11, Pp-(2020)
Emerging Infectious Diseases
Emerging Infectious Diseases, Vol 26, Iss 11, Pp-(2020)
We report key epidemiologic parameter estimates for coronavirus disease identified in peer-reviewed publications, preprint articles, and online reports. Range estimates for incubation period were 1.8-6.9 days, serial interval 4.0-7.5 days, and doubli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d986694b38cec2ea6265585cd702cf92
http://hdl.handle.net/10044/1/82558
http://hdl.handle.net/10044/1/82558
Autor:
Joe Suyama, Manish M. Patel, Maya Monroe, Rachel Herlihy, Laurie M Billing, Marcus Volz, Chelsea McMullen, Manjusha Gaglani, Robert W Hickey, James A. Singleton, William Schaffner, John W Williams, Huong Q. McLean, Lisa A. Jackson, Mary Patricia Nowalk, Kimberly E. Walker, Manohar Mutnal, Goundappa K. Balasubramani, Charisse N Cummings, H. Keipp Talbot, Shikha Garg, Arundhati Rao, Evan J. Anderson, Ann Thomas, Sue Kim, Michael L. Jackson, Melissa McMahon, Nancy L Spina, Jennifer P. King, Alexandra J Weissman, Sara S Kim, Michael D. Reis, Kimberly Yousey-Hindes, Brendan Flannery, Emily T. Martin, Chandni Raiyani, Jessie R Chung, Michael C. Smith, Edward A. Belongia, Richard K. Zimmerman, Melissa A Rolfes, Pragati V. Prasad, Alissa O’Halloran, Carrie Reed, Shua J Chai, Alicia M. Fry, Ilene Risk, Lydia Clipper, Arnold S. Monto, Jonathan M. Raviotta, Todd M Bear, Kempapura Murthy
Publikováno v:
Clin Infect Dis
Background Multivalent influenza vaccine products provide protection against influenza A(H1N1)pdm09, A(H3N2), and B lineage viruses. The 2018–2019 influenza season in the United States included prolonged circulation of A(H1N1)pdm09 viruses well-mat
Autor:
Velma K Lopez, Estee Y Cramer, Robert Pagano, John M Drake, Eamon B O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O Dalgic, Mary A Ladd, Benjamin P Linas, Peter P Mueller, Jade Xiao, Johannes Bracher, Alvaro J Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W Zorn, Sen Pei, Jeffrey Shaman, Teresa K Yamana, Samuel R Tarasewicz, Daniel J Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L Hill, Joshua Kaminsky, Elizabeth C Lee, Joseph C Lemaitre, Justin Lessler, Claire P Smith, Shaun Truelove, Matt Kinsey, Luke C Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T Davis, Kunpeng Mu, Ana Pastore Y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav Marathe, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V Prasad, Jo W Walker, Alexander E Webber, Rachel B Slayton, Matthew Biggerstaff, Nicholas G Reich, Michael A Johansson
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 5, p e1011200 (2024)
During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies
Externí odkaz:
https://doaj.org/article/d7c7eeeba3c3436d9f9bb67e5878ebf7