Zobrazeno 1 - 10
of 37
pro vyhledávání: '"William J M Probert"'
Autor:
Emily Howerton, Matthew J Ferrari, Ottar N Bjørnstad, Tiffany L Bogich, Rebecca K Borchering, Chris P Jewell, James D Nichols, William J M Probert, Michael C Runge, Michael J Tildesley, Cécile Viboud, Katriona Shea
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10, p e1009518 (2021)
Stay-at-home orders and shutdowns of non-essential businesses are powerful, but socially costly, tools to control the pandemic spread of SARS-CoV-2. Mass testing strategies, which rely on widely administered frequent and rapid diagnostics to identify
Externí odkaz:
https://doaj.org/article/8c8bcb4658f749fab07623ccc1261c58
Autor:
Michael Pickles, Anne Cori, William J M Probert, Rafael Sauter, Robert Hinch, Sarah Fidler, Helen Ayles, Peter Bock, Deborah Donnell, Ethan Wilson, Estelle Piwowar-Manning, Sian Floyd, Richard J Hayes, Christophe Fraser, HPTN 071 (PopART) Study Team
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009301 (2021)
Mathematical models are powerful tools in HIV epidemiology, producing quantitative projections of key indicators such as HIV incidence and prevalence. In order to improve the accuracy of predictions, such models need to incorporate a number of behavi
Externí odkaz:
https://doaj.org/article/affef60ff94443cda079aebd0c49e70c
Autor:
Robert Hinch, William J M Probert, Anel Nurtay, Michelle Kendall, Chris Wymant, Matthew Hall, Katrina Lythgoe, Ana Bulas Cruz, Lele Zhao, Andrea Stewart, Luca Ferretti, Daniel Montero, James Warren, Nicole Mather, Matthew Abueg, Neo Wu, Olivier Legat, Katie Bentley, Thomas Mead, Kelvin Van-Vuuren, Dylan Feldner-Busztin, Tommaso Ristori, Anthony Finkelstein, David G Bonsall, Lucie Abeler-Dörner, Christophe Fraser
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009146 (2021)
SARS-CoV-2 has spread across the world, causing high mortality and unprecedented restrictions on social and economic activity. Policymakers are assessing how best to navigate through the ongoing epidemic, with computational models being used to predi
Externí odkaz:
https://doaj.org/article/40c60c6d49f340eba2196f65ed314e7d
Autor:
James D Nichols, Tiffany L Bogich, Emily Howerton, Ottar N Bjørnstad, Rebecca K Borchering, Matthew Ferrari, Murali Haran, Christopher Jewell, Kim M Pepin, William J M Probert, Juliet R C Pulliam, Michael C Runge, Michael Tildesley, Cécile Viboud, Katriona Shea
Publikováno v:
PLoS Biology, Vol 19, Iss 6, p e3001307 (2021)
More than 1.6 million Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) tests were administered daily in the United States at the peak of the epidemic, with a significant focus on individual treatment. Here, we show that objective-driven,
Externí odkaz:
https://doaj.org/article/35b740422e034cd4a0070d5a5cd3db85
Autor:
William J M Probert, Chris P Jewell, Marleen Werkman, Christopher J Fonnesbeck, Yoshitaka Goto, Michael C Runge, Satoshi Sekiguchi, Katriona Shea, Matt J Keeling, Matthew J Ferrari, Michael J Tildesley
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 7, p e1006202 (2018)
In the event of a new infectious disease outbreak, mathematical and simulation models are commonly used to inform policy by evaluating which control strategies will minimize the impact of the epidemic. In the early stages of such outbreaks, substanti
Externí odkaz:
https://doaj.org/article/03c945136e6545698b0672e091572d5b
Autor:
James Brazill-Boast, Moira Williams, Beth Rickwood, Thalie Partridge, Grant Bywater, Bronwyn Cumbo, Ian Shannon, William J M Probert, Julie Ravallion, Hugh Possingham, Richard F Maloney
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0201413 (2018)
In a global environment of increasing species extinctions and decreasing availability of funds with which to combat the causes of biodiversity loss, maximising the efficiency of conservation efforts is crucial. The only way to ensure maximum return o
Externí odkaz:
https://doaj.org/article/d0be742fd05d4b939baf270088cb397d
Autor:
Naomi V Bradbury, William J M Probert, Katriona Shea, Michael C Runge, Christopher J Fonnesbeck, Matt J Keeling, Matthew J Ferrari, Michael J Tildesley
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 2, p e1005318 (2017)
Foot-and-mouth disease outbreaks in non-endemic countries can lead to large economic costs and livestock losses but the use of vaccination has been contentious, partly due to uncertainty about emergency FMD vaccination. Value of information methods c
Externí odkaz:
https://doaj.org/article/0b240f28a015477a9efc45073abfa834
Autor:
William J M Probert, Rafael Sauter, Michael Pickles, Anne Cori, Nomtha F Bell-Mandla, Justin Bwalya, Lucie Abeler-Dörner, Peter Bock, Deborah J Donnell, Sian Floyd, David Macleod, Estelle Piwowar-Manning, Timothy Skalland, Kwame Shanaube, Ethan Wilson, Blia Yang, Helen Ayles, Sarah Fidler, Richard J Hayes, Christophe Fraser, Richard Hayes, Nulda Beyers, Wafaa El-Sadr, Myron Cohen, Susan Eshleman, Yaw Agyei, Virginia Bond, Graeme Hoddinott, Deborah Donnell, Lynda Emel, Heather Noble, David Burns, Nirupama Sista, Sam Griffith, Ayana Moore, Tanette Headen, Rhonda White, Eric Miller, James Hargreaves, Katharina Hauck, Ranjeeta Thomas, Mohammed Limbada, Kalpana Sabapathy, Ab Schaap, Rory Dunbar, Musonda Simwinga, Peter Smith, Sten Vermund, Nomtha Mandla, Nozizwe Makola, Anneen van Deventer, Anelet James, Karen Jennings, James Kruger, Mwelwa Phiri, Barry Kosloff, Lawrence Mwenge, Sarah Kanema, William Probert, Ramya Kumar, Ephraim Sakala, Andrew Silumesi, Tim Skalland, Krista Yuhas
Publikováno v:
e780
e771
e771
Background The long-term impact of universal home-based testing and treatment as part of universal testing and treatment (UTT) on HIV incidence is unknown. We made projections using a detailed individual-based model of the effect of the intervention
Autor:
Katriona Shea, Rebecca K. Borchering, William J. M. Probert, Emily Howerton, Tiffany L. Bogich, Shou-Li Li, Willem G. van Panhuis, Cecile Viboud, Ricardo Aguás, Artur A. Belov, Sanjana H. Bhargava, Sean M. Cavany, Joshua C. Chang, Cynthia Chen, Jinghui Chen, Shi Chen, YangQuan Chen, Lauren M. Childs, Carson C. Chow, Isabel Crooker, Sara Y. Del Valle, Guido España, Geoffrey Fairchild, Richard C. Gerkin, Timothy C. Germann, Quanquan Gu, Xiangyang Guan, Lihong Guo, Gregory R. Hart, Thomas J. Hladish, Nathaniel Hupert, Daniel Janies, Cliff C. Kerr, Daniel J. Klein, Eili Y. Klein, Gary Lin, Carrie Manore, Lauren Ancel Meyers, John E. Mittler, Kunpeng Mu, Rafael C. Núñez, Rachel J. Oidtman, Remy Pasco, Ana Pastore y Piontti, Rajib Paul, Carl A. B. Pearson, Dianela R. Perdomo, T. Alex Perkins, Kelly Pierce, Alexander N. Pillai, Rosalyn Cherie Rael, Katherine Rosenfeld, Chrysm Watson Ross, Julie A. Spencer, Arlin B. Stoltzfus, Kok Ben Toh, Shashaank Vattikuti, Alessandro Vespignani, Lingxiao Wang, Lisa J. White, Pan Xu, Yupeng Yang, Osman N. Yogurtcu, Weitong Zhang, Yanting Zhao, Difan Zou, Matthew J. Ferrari, David Pannell, Michael J. Tildesley, Jack Seifarth, Elyse Johnson, Matthew Biggerstaff, Michael A. Johansson, Rachel B. Slayton, John D. Levander, Jeff Stazer, Jessica Kerr, Michael C. Runge
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, vol 120, iss 18
Policymakers must make management decisions despite incomplete knowledge and conflicting model projections. Little guidance exists for the rapid, representative, and unbiased collection of policy-relevant scientific input from independent modeling te
Autor:
Emily Howerton, Michael C. Runge, Tiffany L. Bogich, Rebecca K. Borchering, Hidetoshi Inamine, Justin Lessler, Luke C. Mullany, William J. M. Probert, Claire P. Smith, Shaun Truelove, Cécile Viboud, Katriona Shea
Publikováno v:
Journal of The Royal Society Interface. 20
Probabilistic predictions support public health planning and decision making, especially in infectious disease emergencies. Aggregating outputs from multiple models yields more robust predictions of outcomes and associated uncertainty. While the sele