[Epidemiological surveillance of mortality based on burrial records].
Identifieur interne : 000736 ( Main/Exploration ); précédent : 000735; suivant : 000737[Epidemiological surveillance of mortality based on burrial records].
Auteurs : C. Borrell ; A. Plasència ; S. Thi ; M. Martí-RecoberSource :
- Gaceta sanitaria [ 0213-9111 ]
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- MESH :
- geographic : Spain.
- Death Certificates, Mortality, Periodicity.
Abstract
The purpose of this work is to build a prediction model of weekly general mortality in Barcelona, using weekly burials as a quick indirect indicator of mortality, and to illustrate its use in the detection of a suspected epidemic of influenza. Mortality data have been modelled following the methodology proposed by Box and Jenkins, and have been regressed using a simple linear model against burial data, so that for every week the expected number of deaths is computed. The model identified that best fitted mortality data was an ARI-MA (3,0,0). The lineal regression model relating mortality and burial data was deaths = 15.94 + 0.80 burials. The use of this methodology allowed the detection of the increase in deaths which occurred during an influenza epidemic in the beginning of 1987. This method allows the rapid weekly monitoring of mortality in a well defined geographic area, and it is a potentially useful tool to support public health departments in their epidemiologic surveillance responsibilities.
PubMed: 2045227
Affiliations:
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Le document en format XML
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Martí-Recober</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1991">1991 Jan-Feb</date><idno type="RBID">pubmed:2045227</idno><idno type="pmid">2045227</idno><idno type="wicri:Area/Main/Corpus">00737</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">00737</idno><idno type="wicri:Area/Main/Curation">000737</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000737</idno><idno type="wicri:Area/Main/Exploration">000737</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Epidemiological surveillance of mortality based on burrial records].</title><author><name sortKey="Borrell, C" sort="Borrell, C" uniqKey="Borrell C" first="C" last="Borrell">C. Borrell</name><affiliation><nlm:affiliation>Servei d'Epidemiologia i Estadístiques Vitals, Institut Municipal de la Salut de Barcelona.</nlm:affiliation><wicri:noCountry code="subField">Institut Municipal de la Salut de Barcelona</wicri:noCountry></affiliation></author><author><name sortKey="Plasencia, A" sort="Plasencia, A" uniqKey="Plasencia A" first="A" last="Plasència">A. Plasència</name></author><author><name sortKey="Thi, S" sort="Thi, S" uniqKey="Thi S" first="S" last="Thi">S. Thi</name></author><author><name sortKey="Marti Recober, M" sort="Marti Recober, M" uniqKey="Marti Recober M" first="M" last="Martí-Recober">M. Martí-Recober</name></author></analytic><series><title level="j">Gaceta sanitaria</title><idno type="ISSN">0213-9111</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Death Certificates (MeSH)</term><term>Mortality (MeSH)</term><term>Periodicity (MeSH)</term><term>Spain (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Certificats de décès (MeSH)</term><term>Espagne (MeSH)</term><term>Mortalité (MeSH)</term><term>Périodicité (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Spain</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Death Certificates</term><term>Mortality</term><term>Periodicity</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Certificats de décès</term><term>Espagne</term><term>Mortalité</term><term>Périodicité</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The purpose of this work is to build a prediction model of weekly general mortality in Barcelona, using weekly burials as a quick indirect indicator of mortality, and to illustrate its use in the detection of a suspected epidemic of influenza. Mortality data have been modelled following the methodology proposed by Box and Jenkins, and have been regressed using a simple linear model against burial data, so that for every week the expected number of deaths is computed. The model identified that best fitted mortality data was an ARI-MA (3,0,0). The lineal regression model relating mortality and burial data was deaths = 15.94 + 0.80 burials. The use of this methodology allowed the detection of the increase in deaths which occurred during an influenza epidemic in the beginning of 1987. This method allows the rapid weekly monitoring of mortality in a well defined geographic area, and it is a potentially useful tool to support public health departments in their epidemiologic surveillance responsibilities.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">2045227</PMID><DateCompleted><Year>1991</Year><Month>07</Month><Day>18</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0213-9111</ISSN><JournalIssue CitedMedium="Print"><Volume>5</Volume><Issue>22</Issue><PubDate><MedlineDate>1991 Jan-Feb</MedlineDate></PubDate></JournalIssue><Title>Gaceta sanitaria</Title><ISOAbbreviation>Gac Sanit</ISOAbbreviation></Journal><ArticleTitle>[Epidemiological surveillance of mortality based on burrial records].</ArticleTitle><Pagination><MedlinePgn>6-16</MedlinePgn></Pagination><Abstract><AbstractText>The purpose of this work is to build a prediction model of weekly general mortality in Barcelona, using weekly burials as a quick indirect indicator of mortality, and to illustrate its use in the detection of a suspected epidemic of influenza. Mortality data have been modelled following the methodology proposed by Box and Jenkins, and have been regressed using a simple linear model against burial data, so that for every week the expected number of deaths is computed. The model identified that best fitted mortality data was an ARI-MA (3,0,0). The lineal regression model relating mortality and burial data was deaths = 15.94 + 0.80 burials. The use of this methodology allowed the detection of the increase in deaths which occurred during an influenza epidemic in the beginning of 1987. This method allows the rapid weekly monitoring of mortality in a well defined geographic area, and it is a potentially useful tool to support public health departments in their epidemiologic surveillance responsibilities.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Borrell</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Servei d'Epidemiologia i Estadístiques Vitals, Institut Municipal de la Salut de Barcelona.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Plasència</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Thió</LastName><ForeName>S</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Martí-Recober</LastName><ForeName>M</ForeName><Initials>M</Initials></Author></AuthorList><Language>cat</Language><Language>spa</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Vigilància epidemiològica de la mortalitat a partir dels enterraments.</VernacularTitle></Article><MedlineJournalInfo><Country>Spain</Country><MedlineTA>Gac Sanit</MedlineTA><NlmUniqueID>8901623</NlmUniqueID><ISSNLinking>0213-9111</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D003644" MajorTopicYN="Y">Death Certificates</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009026" MajorTopicYN="Y">Mortality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010507" MajorTopicYN="N">Periodicity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1991</Year><Month>1</Month><Day>1</Day></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1991</Year><Month>1</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1991</Year><Month>1</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">2045227</ArticleId><ArticleId IdType="pii">S0213-9111(91)71043-1</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list></list><tree><noCountry><name sortKey="Borrell, C" sort="Borrell, C" uniqKey="Borrell C" first="C" last="Borrell">C. Borrell</name><name sortKey="Marti Recober, M" sort="Marti Recober, M" uniqKey="Marti Recober M" first="M" last="Martí-Recober">M. Martí-Recober</name><name sortKey="Plasencia, A" sort="Plasencia, A" uniqKey="Plasencia A" first="A" last="Plasència">A. Plasència</name><name sortKey="Thi, S" sort="Thi, S" uniqKey="Thi S" first="S" last="Thi">S. Thi</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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