Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Robert B. Morrison"'
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
Abstract The US swine industry has been impaired over the last 25 years by the far-reaching financial losses caused by the porcine reproductive and respiratory syndrome (PRRS). Here, we explored the relations between the spatial risk of PRRS outbreak
Externí odkaz:
https://doaj.org/article/7424280740e2401e9305b0b61653d5b0
Publikováno v:
Frontiers in Veterinary Science, Vol 5 (2018)
Porcine reproductive and respiratory syndrome (PRRS) is an endemic disease causing important economic losses to the US swine industry. The complex epidemiology of the disease, along with the diverse clinical outputs observed in different types of inf
Externí odkaz:
https://doaj.org/article/b333b4912b94413eb703236ff7dad9f7
Autor:
Fabian Orlando Chamba Pardo, Ana Alba-Casals, Joel Nerem, Robert B. Morrison, Pedro Puig, Montserrat Torremorell
Publikováno v:
Frontiers in Veterinary Science, Vol 4 (2017)
Influenza is a costly disease for pig producers and understanding its epidemiology is critical to control it. In this study, we aimed to estimate the herd-level prevalence and seasonality of influenza in breed-to-wean pig farms, evaluate the correlat
Externí odkaz:
https://doaj.org/article/c468781ffac84cb5aa0e64cb028483a3
Publikováno v:
Frontiers in Veterinary Science, Vol 4 (2017)
The increasing availability and complexity of data has led to new opportunities and challenges in veterinary epidemiology around how to translate abundant, diverse, and rapidly growing “big” data into meaningful insights for animal health. Big da
Externí odkaz:
https://doaj.org/article/9ef3723e472e480e866c4f6a9a6cb25f
Autor:
Carles Vilalta, Andreia G. Arruda, Steven J. P. Tousignant, Pablo Valdes-Donoso, Petra Muellner, Ulrich Muellner, Moh A. Alkhamis, Robert B. Morrison, Andres M. Perez
Publikováno v:
Frontiers in Veterinary Science, Vol 4 (2017)
Porcine reproductive and respiratory syndrome (PRRS) causes far-reaching financial losses to infected countries and regions, including the U.S. The Dr. Morrison’s Swine Health Monitoring Program (MSHMP) is a voluntary initiative in which producers
Externí odkaz:
https://doaj.org/article/008a0aaeadbf4116a14495e2ac060d92
Publikováno v:
Frontiers in Microbiology, Vol 7 (2016)
Classical phylogenetic methods such as neighbor-joining or maximum likelihood trees, provide limited inferences about the evolution of important pathogens and ignore important evolutionary parameters and uncertainties, which in turn limits decision m
Externí odkaz:
https://doaj.org/article/0e35d231303b45fabe907a540d40a1cc
Autor:
Peter R. Davies, Montserrat Torremorell, Marie R. Culhane, Matthew W. Allerson, Andres M. Perez, Fabian Orlando Chamba Pardo, Robert B. Morrison
Publikováno v:
Transboundary and Emerging Diseases. 68:183-193
Although vaccination is the main measure to control influenza A virus (IAV) in swine, there is limited information on the efficacy of sow vaccination on reducing IAV infections in pigs at weaning. We assessed the effect of sow vaccination on IAV infe
Publikováno v:
Preventive Veterinary Medicine. 168:95-102
Mycoplasma hyopneumoniae (Mhyo) is generally accepted to be the most common porcine respiratory pathogen worldwide causing big economical losses in swine production by affecting pig's downstream performance. The objective of this study was to develop
Autor:
Deb Murray, Montserrat Torremorell, Juan Sanhueza, Carles Vilalta, Robert B. Morrison, Julio Alvarez, Cesar Corzo
Publikováno v:
Veterinary Microbiology. 225:149-156
Collection of serum samples of pigs at weaning to monitor for porcine reproductive and respiratory syndrome virus (PRRSV) has become a common practice to determine PRRSV herd infection status. Diagnostic sensitivity of this practice is low in herds u
Publikováno v:
Transboundary and Emerging Diseases. 65:1307-1317
Compartmental models have often been used to test the effectiveness and efficiency of alternative control strategies to mitigate the spread of infectious animal diseases. A fundamental principle of epidemiological modelling is that models should star