| hospitalizations due to respiratory syncytial virus in children with congenital malformations. | statewide respiratory syncytial virus (rsv) lower respiratory tract infection hospitalization data of colorado children with congenital malformations was used to estimate the population-based risk and severity of disease of rsv hospitalizations. spina bifida without anencephaly, cleft palate, lung agenesis or dysgenesis, and biliary atresia were associated with a higher risk of being hospitalized with rsv lower respiratory tract infection and an increased severity of disease when hospitalized. | 2011 | 21127456 |
| predictors of the duration of the respiratory syncytial virus season. | data from national surveillance shows significant regional variation in the respiratory syncytial virus (rsv) season. to enable accurate recommendations for surveillance and prophylaxis at a local level, we examined this variation in detail and determined predictors for the duration of the rsv season. | 2009 | 19710584 |
| nucleotide and predicted amino acid sequence-based analysis of the avian metapneumovirus type c cell attachment glycoprotein gene: phylogenetic analysis and molecular epidemiology of u.s. pneumoviruses. | a serologically distinct avian metapneumovirus (ampv) was isolated in the united states after an outbreak of turkey rhinotracheitis (trt) in february 1997. the newly recognized u.s. virus was subsequently demonstrated to be genetically distinct from european subtypes and was designated ampv serotype c (ampv/c). we have determined the nucleotide sequence of the gene encoding the cell attachment glycoprotein (g) of ampv/c (colorado strain and three minnesota isolates) and predicted amino acid sequ ... | 2003 | 12682171 |
| use of an internet-based community surveillance network to predict seasonal communicable disease morbidity. | we designed an internet-based surveillance network that linked community clinic diagnoses with viral isolation rates and admission patterns at a related children's hospital. we hypothesized that community surveillance would successfully predict subsequent hospital admissions and laboratory viral isolations. secondarily, we expected the network to monitor trends in disease and that posting this information on a web site would be useful to physicians in daily practice. | 2002 | 11875134 |