Zobrazeno 1 - 10
of 262
pro vyhledávání: '"Andres M Perez"'
Autor:
Kaushi S T Kanankege, Sarsenbay K Abdrakhmanov, Julio Alvarez, Linda Glaser, Jeffrey B Bender, Yersyn Y Mukhanbetkaliyev, Fedor I Korennoy, Ablaikhan S Kadyrov, Aruzhan S Abdrakhmanova, Andres M Perez
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0217144 (2019)
Disease spread in populations is a consequence of the interaction between host, pathogen, and environment, i.e. the epidemiological triad. Yet the influences of each triad component may vary dramatically for different settings. Comparison of environm
Externí odkaz:
https://doaj.org/article/e79c8e78f3114945b7504cd176318edc
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0176863 (2017)
Porcine reproductive and respiratory syndrome virus (PRRSv) infection causes a devastating economic impact to the swine industry. Active surveillance is routinely conducted in many swine herds to demonstrate freedom from PRRSv infection. The design o
Externí odkaz:
https://doaj.org/article/db1527b61be545d29982f493b284a308
Publikováno v:
Frontiers in Veterinary Science, Vol 3 (2016)
In the event of a foot-and-mouth disease (FMD) incursion, response strategies are required to control, contain and eradicate the pathogen as efficiently as possible. Infectious disease simulation models are widely used tools that mimic disease disper
Externí odkaz:
https://doaj.org/article/1f1256d8928b4106915148aa21a0ed99
Autor:
Barbara Patricia Brito, Ferran eJori, Rahana eDwarka, Francois Frederick Maree, Livio eHeath, Andres M Perez
Publikováno v:
Frontiers in Microbiology, Vol 7 (2016)
Over a decade ago, foot-and-mouth disease (FMD) re-emerged in Southern Africa specifically, in beef exporting countries that had successfully maintained disease-free areas in the past. FMD virus (FMDV) serotype SAT2 has been responsible for a majorit
Externí odkaz:
https://doaj.org/article/9771b56b3e504723bf89e1246cdfb372
Publikováno v:
Frontiers in Microbiology, Vol 7 (2016)
We have developed a simple and sensitive method for the detection of influenza A virus (IAV) based on giant magnetoresistance (GMR) biosensor. This assay employs monoclonal antibodies to viral nucleoprotein (NP) in combination with magnetic nanoparti
Externí odkaz:
https://doaj.org/article/751118e4ca8644fe879cccba23a4bbae
Publikováno v:
Frontiers in Veterinary Science, Vol 3 (2016)
The reporting and monitoring of swine enteric coronavirus diseases (SECD), such as porcine epidemic diarrhea virus (PEDV) and porcine delta coronavirus (PDCoV), in the United States (US) has been challenging because of the absence of a regulatory fra
Externí odkaz:
https://doaj.org/article/92de21bf800c424d8cf3a5a2d69ed69c
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
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0149498 (2016)
Due to the highly transmissible nature of porcine reproductive and respiratory syndrome (PRRS), implementation of regional programs to control the disease may be critical. Because PRRS is not reported in the US, numerous voluntary regional control pr
Externí odkaz:
https://doaj.org/article/052609ad4f114665823a03c9fe39b0e3
Autor:
Andres M Perez
Publikováno v:
Frontiers in Veterinary Science, Vol 2 (2015)
Externí odkaz:
https://doaj.org/article/1cca81c3c2bd4a16958690a29eaa2dbb
Evaluation of the risk factors contributing to the African Swine Fever occurrence in Sardinia, Italy
Autor:
Beatriz eMartínez-López, Andres M Perez, Francesco eFeliziani, Sandro eRolesu, Lina eMur, José Manuel eSánchez-Vizcaíno
Publikováno v:
Frontiers in Microbiology, Vol 6 (2015)
This study assesses the relation between hypothesized risk factors and African swine fever virus (ASFV) distribution in Sardinia (Italy) after the beginning of the eradication program in 1993, using a Bayesian multivariable logistic regression mixed
Externí odkaz:
https://doaj.org/article/7c56335c36b243798867fb1450ce72b1