About: Snowbirds and infection--new phenomena in pneumonia and influenza hospitalizations from winter migration of older adults: A spatiotemporal analysis

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About: Snowbirds and infection--new phenomena in pneumonia and influenza hospitalizations from winter migration of older adults: A spatiotemporal analysis Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Snowbirds and infection--new phenomena in pneumonia and influenza hospitalizations from winter migration of older adults: A spatiotemporal analysis
Creator	Cohen, Steven Naumova, Elena Kh Chui, Kenneth
Source	Medline; PMC
abstract	BACKGROUND: Despite advances in surveillance and prevention, pneumonia and influenza (P&I) remain among the leading causes of mortality in the United States. Elderly adults experience the most severe morbidity from influenza-associated diseases, and have the highest rates of seasonal migration within the U.S. compared to other subpopulations. The objective of this study is to assess spatiotemporal patterns in influenza-associated hospitalizations in the elderly, by time, geography, and intensity of P&I. Given the high seasonal migration of individuals to Florida, this state was examined more closely using harmonic regression to assess spatial and temporal patterns of P&I hospitalizations by state of residence. METHODS: Data containing all Medicare-eligible hospitalizations in the United States for 1991-2006 with P&I (ICD-9-CM codes 480-487) were abstracted for the 65+ population. Hospitalizations were classified by state of residence, provider state, and date of admissions, specifically comparing those admitted between October and March to those admitted between April and September. We then compared the hospitalization profile data of Florida residents with that of out-of-state residents by state of primary residence and time of year (in-season or out-of-season). RESULTS: We observed distinct seasonal patterns of nonresident P&I hospitalizations, especially comparing typical winter destination states, such as California, Arizona, Texas, and Florida, to other states. Although most other states generally experienced a higher proportion of non-resident P&I during the summer months (April-September), these states had higher nonresident P&I during the traditional peak influenza season (October-March). CONCLUSIONS: This study is among the first to quantify spatiotemporal P&I hospitalization patterns in the elderly, focusing on the change of patterns that are possibly due to seasonal population migration. Understanding migration and influenza-associated disease patterns in this vulnerable population is critical to prepare for and potentially prevent influenza outbreaks in this vulnerable population.
has issue date	2011-06-07(xsd:dateTime)
bibo:doi	10.1186/1471-2458-11-444
bibo:pmid	21649919
has license	cc-by
sha1sum (hex)	b514652703a631715ca85e65499c66016fb994d4
schema:url	https://doi.org/10.1186/1471-2458-11-444
resource representing a document's title	Snowbirds and infection--new phenomena in pneumonia and influenza hospitalizations from winter migration of older adults: A spatiotemporal analysis
has PubMed Central identifier	PMC3128025
has PubMed identifier	21649919
schema:publication	BMC Public Health
resource representing a document's body	covid:b514652703a631715ca85e65499c66016fb994d4#body_text
is schema:about of	named entity 'subpopulations' named entity 'phenomena' named entity 'severe' named entity 'Florida' named entity 'regression' named entity 'P&I' named entity 'United States' named entity 'pneumonia' named entity 'P&I' named entity 'winter migration' named entity 'hospitalizations' named entity 'remain' named entity 'influenza' named entity 'Medicare' named entity 'Alabama' named entity 'health care' named entity 'Midwestern' named entity 'pneumonia' named entity 'Michigan' named entity 'health officials' named entity 'Medicare' named entity 'P&I' named entity 'virulent' named entity 'pneumonia' named entity 'spatiotemporal patterns' named entity 'influenza' named entity 'Midwestern' named entity 'District of Columbia' named entity 'influenza' named entity 'Florida' named entity 'epidemics' named entity 'pandemics' named entity 'national state' named entity 'elderly individuals' named entity 'population characteristics' named entity 'North Dakota' named entity 'morbidity' named entity 'New York' named entity 'Florida' named entity 'systematic investigation' named entity 'Florida' named entity 'New York' named entity 't-test' named entity 'Florida' named entity 'data abstraction' named entity 'influenza' named entity 'influenza' named entity 'P&I' named entity 'Florida' named entity 'United States' named entity 'seasonality' named entity 'Florida' named entity 'Georgia' named entity 'A major' named entity 'Arizona' named entity 'influenza' named entity 'P&I' named entity 'U.S.' named entity 'Georgia' named entity 'Julian calendar' named entity 'Alabama' named entity 'Nevada' named entity 'Public health' named entity 'network analyses' named entity 'medical practitioners' named entity 'health care service' named entity 'P&I' named entity 'winter months' named entity 'influenza' named entity 'preventive measures' named entity 'Louisiana' named entity 'Hawaii' named entity 'migration patterns' named entity 'California' named entity 'influenza' named entity 'epidemic' named entity 'Florida' named entity 'United States' named entity 'Florida'

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