| serologic survey of selected pathogens in white-tailed and mule deer in western nebraska. | exposure of free-ranging white-tailed deer (odocoileus virginianus) and mule deer (odocoileus hemionus) in western nebraska to selected livestock pathogens was determined by serology and attempted virus isolation. antibodies to bluetongue virus, epizootic hemorrhagic disease virus, and bovine respiratory syncytial virus were present in both species of deer. no serologic reactors to brucella or anaplasma were found. attempts to isolate bluetongue virus were negative. | 1986 | 2845156 |
| serosurvey for selected pathogens in hunter-killed pronghorns in western nebraska. | exposure of pronghorns (antilocapra americana) in western nebraska in 1983 to selected livestock pathogens was examined by serology and attempted virus isolation. antibodies were present to the agents of bluetongue, epizootic hemorrhagic disease, and bovine respiratory syncytial virus. there were no serologic reactors to brucella, and attempts to isolate the viruses of bluetongue and epizootic hemorrhagic disease were negative. | 1986 | 3005667 |
| what every laboratorian should know about rsv (respiratory syncytial virus). | | 1991 | 10108905 |
| pathogens of bovine respiratory disease in north american feedlots conferring multidrug resistance via integrative conjugative elements. | in this study, we determined the prevalence of bovine respiratory disease (brd)-associated viral and bacterial pathogens in cattle and characterized the genetic profiles, antimicrobial susceptibilities, and nature of antimicrobial resistance determinants in collected bacteria. nasopharyngeal swab and lung tissue samples from 68 brd mortalities in alberta, canada (n = 42), texas (n = 6), and nebraska (n = 20) were screened using pcr for bovine viral diarrhea virus (bvdv), bovine respiratory syncy ... | 2014 | 24478472 |
| using google flu trends data in forecasting influenza-like-illness related ed visits in omaha, nebraska. | emergency department (ed) visits increase during the influenza seasons. it is essential to identify statistically significant correlates in order to develop an accurate forecasting model for ed visits. forecasting influenza-like-illness (ili)-related ed visits can significantly help in developing robust resource management strategies at the eds. | 2014 | 25037278 |