Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Riley O Mummah"'
Publikováno v:
eLife, Vol 9 (2020)
Traveller screening is being used to limit further spread of COVID-19 following its recent emergence, and symptom screening has become a ubiquitous tool in the global response. Previously, we developed a mathematical model to understand factors gover
Externí odkaz:
https://doaj.org/article/aa221989970741b28bcc4be9932cb435
Autor:
Shayna A Sura, Lauren L Smith, Monique R Ambrose, C Eduardo Guerra Amorim, Annabel C Beichman, Ana C R Gomez, Mark Juhn, Gaurav S Kandlikar, Julie S Miller, Jazlyn Mooney, Riley O Mummah, Kirk E Lohmueller, James O Lloyd-Smith
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 7, p e1007163 (2019)
Externí odkaz:
https://doaj.org/article/4fe2341f679244f6adff90bae7c064cf
Autor:
Benny Borremans, Riley O. Mummah, Angela H. Guglielmino, Renee L. Galloway, Niel Hens, K. C. Prager, James O. Lloyd‐Smith
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 10, Pp 2654-2667 (2023)
Abstract Studies of infectious disease ecology would benefit greatly from knowing when individuals were infected, but estimating this time of infection can be challenging, especially in wildlife. Time of infection can be estimated from various types
Externí odkaz:
https://doaj.org/article/1c47a1b5bf4c459aa16541741cc994e0
Autor:
Sarah K. Helman, Amanda F. N. Tokuyama, Riley O. Mummah, Nathan E. Stone, Mason W. Gamble, Celine E. Snedden, Benny Borremans, Ana C. R. Gomez, Caitlin Cox, Julianne Nussbaum, Isobel Tweedt, David A. Haake, Renee L. Galloway, Javier Monzón, Seth P. D. Riley, Jeff A. Sikich, Justin Brown, Anthony Friscia, Jason W. Sahl, David M. Wagner, Jessica W. Lynch, Katherine C. Prager, James O. Lloyd-Smith
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Leptospirosis, the most widespread zoonotic disease in the world, is broadly understudied in multi-host wildlife systems. Knowledge gaps regarding Leptospira circulation in wildlife, particularly in densely populated areas, contribute to fre
Externí odkaz:
https://doaj.org/article/9aed86f6d21d442d85de7c4e66a2c7d8
Autor:
Evan H. Campbell Grant, Riley O. Mummah, Brittany A. Mosher, Jonah Evans, Graziella V. DiRenzo
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 5, Pp 1299-1311 (2023)
Abstract Surveillance programmes are essential for detecting emerging pathogens and often rely on molecular methods to make inference about the presence of a target disease agent. However, molecular methods rarely detect target DNA perfectly. For exa
Externí odkaz:
https://doaj.org/article/313140af4b0d4b3fa5dcfd59f838fd4b
Publikováno v:
One Health Outlook, Vol 2, Iss 1, Pp 1-15 (2020)
Abstract Background For many emerging or re-emerging pathogens, cases in humans arise from a mixture of introductions (via zoonotic spillover from animal reservoirs or geographic spillover from endemic regions) and secondary human-to-human transmissi
Externí odkaz:
https://doaj.org/article/0038355004524b6c8f1ea7d51b1daaa8
Autor:
Sarah K. Helman, Amanda F.N. Tokuyama, Riley O. Mummah, Mason W. Gamble, Celine E. Snedden, Benny Borremans, Ana C.R. Gomez, Caitlin Cox, Julianne Nussbaum, Isobel Tweedt, David A. Haake, Renee L. Galloway, Javier Monzón, Seth P.D. Riley, Jeff A. Sikich, Justin Brown, Anthony Friscia, Jessica W. Lynch, Katherine C. Prager, James O. Lloyd-Smith
Leptospirosis is the most widespread zoonotic disease in the world, yet it is broadly understudied in multi-host wildlife systems. Knowledge gaps regardingLeptospiracirculation in wildlife, particularly in densely populated areas, contribute to frequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6873e409ec00b6537b4ba242712f16d
https://doi.org/10.1101/2023.03.13.531784
https://doi.org/10.1101/2023.03.13.531784
Autor:
Benny Borremans, Riley O Mummah, Angela H Guglielmino, Renee L Galloway, Niel Hens, K C Prager, James O Lloyd-Smith
Studies of infectious disease ecology often rely heavily on knowing when individuals were infected, but estimating this time of infection can be challenging, especially in wildlife. Time of infection can be estimated from various types of data, with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19397fa2cbc74bfef8e5361144b8df96
https://doi.org/10.1101/2022.10.03.510698
https://doi.org/10.1101/2022.10.03.510698
Autor:
Riley O. Mummah, Angela H. Guglielmino, Benny Borremans, Timothy J. Coonan, K. C. Prager, James O. Lloyd-Smith
Background: Despite significant advances in statistical approaches and data collection for analyzing wildlife movements over the last 50 years, there are limited analytical frameworks to be applied when spatial data are collected for purposes other t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d09647e12ef421f66fe6831d29a3639
https://doi.org/10.21203/rs.3.rs-1627609/v1
https://doi.org/10.21203/rs.3.rs-1627609/v1