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Akademický článek

Detection of Leptospira kirschneri in a short-beaked common dolphin (Delphinus delphis delphis) stranded off the coast of southern California, USA

Autor: K. C. Prager, Kerri Danil, Elyse Wurster, Kathleen M. Colegrove, Renee Galloway, Niesa Kettler, Rinosh Mani, Ryelan F. McDonough, Jason W. Sahl, Nathan E. Stone, David M. Wagner, James O. Lloyd-Smith

Publikováno v: BMC Veterinary Research, Vol 20, Iss 1, Pp 1-11 (2024)

Abstract Background Pathogenic Leptospira species are globally important zoonotic pathogens capable of infecting a wide range of host species. In marine mammals, reports of Leptospira have predominantly been in pinnipeds, with isolated reports of inf

Externí odkaz: https://doaj.org/article/bd2d4e15ddc6457ab67f06f91580f17a

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Akademický článek

Inferring time of infection from field data using dynamic models of antibody decay

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

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Akademický článek

Linking longitudinal and cross-sectional biomarker data to understand host-pathogen dynamics: Leptospira in California sea lions (Zalophus californianus) as a case study.

Autor: K C Prager, Michael G Buhnerkempe, Denise J Greig, Anthony J Orr, Eric D Jensen, Forrest Gomez, Renee L Galloway, Qingzhong Wu, Frances M D Gulland, James O Lloyd-Smith

Publikováno v: PLoS Neglected Tropical Diseases, Vol 14, Iss 6, p e0008407 (2020)

Confronted with the challenge of understanding population-level processes, disease ecologists and epidemiologists often simplify quantitative data into distinct physiological states (e.g. susceptible, exposed, infected, recovered). However, data defi

Externí odkaz: https://doaj.org/article/f7d07a0c335b4eaf80585d51ef0c2efc

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Inferring time of infection from field data using dynamic models of antibody decay

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

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Leveraging location data of variable quality to reconstruct animal movements: application to a reintroduced island fox (Urocyon littoralis) population

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

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Antibiotic Efficacy in Eliminating Leptospiruria in California Sea Lions (

Autor: K C, Prager, David P, Alt, Michael G, Buhnerkempe, Denise J, Greig, Renee L, Galloway, Qingzhong, Wu, Frances M D, Gulland, James O, Lloyd-Smith

Publikováno v: Aquatic mammals. 41(2)

Stranded California sea lions (Zalophus californianus) along the California coast have been diagnosed with leptospirosis every year since at least the 1980s. Between September 2010 and November 2011, we followed 14 stranded California sea lions that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::eea134b6aed00f2edf7cd525f57651ae
https://pubmed.ncbi.nlm.nih.gov/30792564

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