An exploratory spatial analysis of pneumonia and influenza hospitalizations in Ontario by age and gender.
Identifieur interne : 000894 ( Main/Exploration ); précédent : 000893; suivant : 000895An exploratory spatial analysis of pneumonia and influenza hospitalizations in Ontario by age and gender.
Auteurs : E J Crighton [Canada] ; S J Elliott ; R. Moineddin ; P. Kanaroglou ; R E G. UpshurSource :
- Epidemiology and infection [ 0950-2688 ] ; 2007.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Facteurs sexuels (MeSH), Facteurs âges (MeSH), Femelle (MeSH), Grippe humaine (épidémiologie), Hospitalisation (statistiques et données numériques), Humains (MeSH), Mâle (MeSH), Nourrisson (MeSH), Nouveau-né (MeSH), Ontario (épidémiologie), Pneumopathie infectieuse (épidémiologie), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Surveillance de la population (MeSH), Études rétrospectives (MeSH).
- MESH :
- statistiques et données numériques : Hospitalisation.
- épidémiologie : Grippe humaine, Ontario, Pneumopathie infectieuse.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Facteurs sexuels, Facteurs âges, Femelle, Humains, Mâle, Nourrisson, Nouveau-né, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance de la population, Études rétrospectives.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Age Factors (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Child (MeSH), Child, Preschool (MeSH), Female (MeSH), Hospitalization (statistics & numerical data), Humans (MeSH), Infant (MeSH), Infant, Newborn (MeSH), Influenza, Human (epidemiology), Male (MeSH), Middle Aged (MeSH), Ontario (epidemiology), Pneumonia (epidemiology), Population Surveillance (MeSH), Retrospective Studies (MeSH), Sex Factors (MeSH).
- MESH :
- geographic , epidemiology : Ontario.
- epidemiology : Influenza, Human, Pneumonia.
- statistics & numerical data : Hospitalization.
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Population Surveillance, Retrospective Studies, Sex Factors.
Abstract
Pneumonia and influenza represent a significant public health burden in Canada and abroad. Knowledge of how this burden varies geographically provides clues to understanding the determinants of these illnesses, and insight into the effective management of health-care resources. We conducted a retrospective, population-based, ecological-level study to assess age- and gender-specific spatial patterns of pneumonia and influenza hospitalizations in the province of Ontario, Canada from 1992 to 2001. Results revealed marked variability in hospitalization rates by age, as well as clear and statistically significant patterns of high rates in northern rural counties and low rates in southern urban counties. A moderate yet significant level of positive spatial autocorrelation (Moran's I=0.21, P<0.05) was found in the global data, with significant, age-specific clusters of high values or 'hot spots' identified in several northern counties. Findings illustrate the need for geographically focused prevention strategies, and resource and service allocation policies informed by regional and population-specific demands.
DOI: 10.1017/S095026880600690X
PubMed: 16824252
PubMed Central: PMC2870578
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Moineddin</name></author><author><name sortKey="Kanaroglou, P" sort="Kanaroglou, P" uniqKey="Kanaroglou P" first="P" last="Kanaroglou">P. Kanaroglou</name></author><author><name sortKey="Upshur, R E G" sort="Upshur, R E G" uniqKey="Upshur R" first="R E G" last="Upshur">R E G. 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Knowledge of how this burden varies geographically provides clues to understanding the determinants of these illnesses, and insight into the effective management of health-care resources. We conducted a retrospective, population-based, ecological-level study to assess age- and gender-specific spatial patterns of pneumonia and influenza hospitalizations in the province of Ontario, Canada from 1992 to 2001. Results revealed marked variability in hospitalization rates by age, as well as clear and statistically significant patterns of high rates in northern rural counties and low rates in southern urban counties. A moderate yet significant level of positive spatial autocorrelation (Moran's I=0.21, P<0.05) was found in the global data, with significant, age-specific clusters of high values or 'hot spots' identified in several northern counties. Findings illustrate the need for geographically focused prevention strategies, and resource and service allocation policies informed by regional and population-specific demands.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16824252</PMID><DateCompleted><Year>2007</Year><Month>11</Month><Day>08</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0950-2688</ISSN><JournalIssue CitedMedium="Print"><Volume>135</Volume><Issue>2</Issue><PubDate><Year>2007</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Epidemiology and infection</Title><ISOAbbreviation>Epidemiol. Infect.</ISOAbbreviation></Journal><ArticleTitle>An exploratory spatial analysis of pneumonia and influenza hospitalizations in Ontario by age and gender.</ArticleTitle><Pagination><MedlinePgn>253-61</MedlinePgn></Pagination><Abstract><AbstractText>Pneumonia and influenza represent a significant public health burden in Canada and abroad. Knowledge of how this burden varies geographically provides clues to understanding the determinants of these illnesses, and insight into the effective management of health-care resources. We conducted a retrospective, population-based, ecological-level study to assess age- and gender-specific spatial patterns of pneumonia and influenza hospitalizations in the province of Ontario, Canada from 1992 to 2001. Results revealed marked variability in hospitalization rates by age, as well as clear and statistically significant patterns of high rates in northern rural counties and low rates in southern urban counties. A moderate yet significant level of positive spatial autocorrelation (Moran's I=0.21, P<0.05) was found in the global data, with significant, age-specific clusters of high values or 'hot spots' identified in several northern counties. Findings illustrate the need for geographically focused prevention strategies, and resource and service allocation policies informed by regional and population-specific demands.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Crighton</LastName><ForeName>E J</ForeName><Initials>EJ</Initials><AffiliationInfo><Affiliation>Department of Geography, Environmental Studies Program, University of Ottawa, Ottawa, ON, Canada. eric.crighton@uottawa.ca</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Elliott</LastName><ForeName>S J</ForeName><Initials>SJ</Initials></Author><Author ValidYN="Y"><LastName>Moineddin</LastName><ForeName>R</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Kanaroglou</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Upshur</LastName><ForeName>R E G</ForeName><Initials>RE</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2006</Year><Month>07</Month><Day>07</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Epidemiol Infect</MedlineTA><NlmUniqueID>8703737</NlmUniqueID><ISSNLinking>0950-2688</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and 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Kanaroglou</name><name sortKey="Moineddin, R" sort="Moineddin, R" uniqKey="Moineddin R" first="R" last="Moineddin">R. Moineddin</name><name sortKey="Upshur, R E G" sort="Upshur, R E G" uniqKey="Upshur R" first="R E G" last="Upshur">R E G. Upshur</name></noCountry><country name="Canada"><noRegion><name sortKey="Crighton, E J" sort="Crighton, E J" uniqKey="Crighton E" first="E J" last="Crighton">E J Crighton</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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