About: Modeling the variations in pediatric respiratory syncytial virus seasonal epidemics

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Modeling the variations in pediatric respiratory syncytial virus seasonal epidemics
Creator	Byington, Carrie Greene, Tom Gundlapalli, Adi Leecaster, Molly Rolfs, Robert Samore, Matthew Walton, Nephi
Source	Medline; PMC
abstract	BACKGROUND: Seasonal respiratory syncytial virus (RSV) epidemics occur annually in temperate climates and result in significant pediatric morbidity and increased health care costs. Although RSV epidemics generally occur between October and April, the size and timing vary across epidemic seasons and are difficult to predict accurately. Prediction of epidemic characteristics would support management of resources and treatment. METHODS: The goals of this research were to examine the empirical relationships among early exponential growth rate, total epidemic size, and timing, and the utility of specific parameters in compartmental models of transmission in accounting for variation among seasonal RSV epidemic curves. RSV testing data from Primary Children's Medical Center were collected on children under two years of age (July 2001-June 2008). Simple linear regression was used explore the relationship between three epidemic characteristics (final epidemic size, days to peak, and epidemic length) and exponential growth calculated from four weeks of daily case data. A compartmental model of transmission was fit to the data and parameter estimated used to help describe the variation among seasonal RSV epidemic curves. RESULTS: The regression results indicated that exponential growth was correlated to epidemic characteristics. The transmission modeling results indicated that start time for the epidemic and the transmission parameter co-varied with the epidemic season. CONCLUSIONS: The conclusions were that exponential growth was somewhat empirically related to seasonal epidemic characteristics and that variation in epidemic start date as well as the transmission parameter over epidemic years could explain variation in seasonal epidemic size. These relationships are useful for public health, health care providers, and infectious disease researchers.
has issue date	2011-04-21(xsd:dateTime)
bibo:doi	10.1186/1471-2334-11-105
bibo:pmid	21510889
has license	cc-by
sha1sum (hex)	2e7571bccf8e71340eae54a7254aa136d0cbbcb3
schema:url	https://doi.org/10.1186/1471-2334-11-105
resource representing a document's title	Modeling the variations in pediatric respiratory syncytial virus seasonal epidemics
has PubMed Central identifier	PMC3094225
has PubMed identifier	21510889
schema:publication	BMC Infect Dis
resource representing a document's body	covid:2e7571bccf8e71340eae54a7254aa136d0cbbcb3#body_text
is schema:about of	named entity 'respiratory syncytial virus' named entity 'epidemics' covid:arg/2e7571bccf8e71340eae54a7254aa136d0cbbcb3 named entity 'INCREASED' named entity 'TREATMENT' named entity 'SEASONS' named entity 'HEALTH CARE COSTS' named entity 'RESULT' named entity 'APRIL' named entity 'OCCUR' named entity 'RSV' named entity 'SIGNIFICANT' named entity 'EPIDEMICS' named entity 'SIZE' named entity 'ANNUALLY' named entity 'PEDIATRIC' named entity 'CHARACTERISTICS' named entity 'RESPIRATORY SYNCYTIAL VIRUS' named entity 'SEASONAL' named entity 'TEMPERATE CLIMATES' named entity 'PEDIATRIC' named entity 'SUPPORT' named entity 'MODELING' named entity 'EPIDEMICS' named entity 'PREDICTION' named entity 'EPIDEMIC' named entity 'VARIATIONS' named entity 'SEASONAL' named entity 'RESPIRATORY SYNCYTIAL VIRUS' named entity 'ACROSS' named entity 'GENERALLY' named entity 'TIMING' named entity 'RESOURCES' named entity 'OCTOBER' named entity 'MORBIDITY' named entity 'MANAGEMENT' named entity 'BACKGROUND' named entity 'DIFFICULT' named entity 'PREDICT' named entity 'management' named entity 'epidemics' named entity 'RSV' named entity 'health care' named entity 'respiratory syncytial virus' named entity 'pediatric' named entity 'epidemic' named entity 'public health practitioners' named entity 'epidemic' named entity 'PCMC' named entity 'viral testing' named entity 'square root' named entity 'exponential growth rate' named entity 'lung disease' named entity 'vaccine' named entity 'Utah' named entity 'viruses' named entity 'Wyoming' named entity 'epidemic' named entity 'exponential growth' named entity 'Primary Children's Medical Center' named entity 'percent error' named entity 'percent error' named entity 'RSV' named entity 'epidemic' named entity 'epidemic' named entity 'epidemic' named entity 'RSV' named entity 'cohorting' named entity 'epidemic curve' named entity 'epidemic' named entity 'SEIDR' named entity 'epidemic' named entity 'emergency departments' named entity '1 million' named entity 'PCMC'

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