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:
Evan H. Campbell Grant, Riley O. Mummah, Brittany A. Mosher, Jonah Evans, Graziella V. DiRenzo
Publikováno v:
Methods in Ecology and Evolution. 14:1299-1311
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
Publikováno v:
One Health Outlook, Vol 2, Iss 1, Pp 1-15 (2020)
One Health Outlook
One Health Outlook
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 transmission. Inter
We derive both the finite and infinite population spatial replicator dynamics as the fluid limit of a stochastic cellular automaton. The infinite population spatial replicator is identical to the model used by Vickers and our derivation justifies the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35701ec1cc090557f23baa30b69598e2
http://arxiv.org/abs/2006.00397
http://arxiv.org/abs/2006.00397