The 1918-1919 Influenza Pandemic in Portugal: A Regional Analysis of Death Impact.
Identifieur interne : 000226 ( PubMed/Checkpoint ); précédent : 000225; suivant : 000227The 1918-1919 Influenza Pandemic in Portugal: A Regional Analysis of Death Impact.
Auteurs : Baltazar Nunes [Portugal] ; Susana Silva [Portugal] ; Ana Rodrigues [Portugal] ; Rita Roquette [Portugal] ; Inês Batista [Portugal] ; Helena Rebelo-De-Andrade [Portugal]Source :
- American journal of epidemiology [ 1476-6256 ] ; 2018.
Descripteurs français
- KwdFr :
- Analyse spatio-temporelle, Cause de décès, Facteurs socioéconomiques, Grippe humaine (histoire), Grippe humaine (mortalité), Grippe humaine (épidémiologie), Histoire du 20ème siècle, Humains, Maladies de l'appareil respiratoire (mortalité), Modèles statistiques, Pandémie de grippe de 1918-1919 (histoire), Pandémie de grippe de 1918-1919 (mortalité), Portugal (épidémiologie), Répartition par sexe, Répartition par âge.
- MESH :
- histoire : Grippe humaine, Pandémie de grippe de 1918-1919.
- mortalité : Grippe humaine, Maladies de l'appareil respiratoire, Pandémie de grippe de 1918-1919.
- épidémiologie : Grippe humaine, Portugal.
- Analyse spatio-temporelle, Cause de décès, Facteurs socioéconomiques, Histoire du 20ème siècle, Humains, Modèles statistiques, Répartition par sexe, Répartition par âge.
- Wicri :
- geographic : Portugal.
English descriptors
- KwdEn :
- Age Distribution, Cause of Death, History, 20th Century, Humans, Influenza Pandemic, 1918-1919 (history), Influenza Pandemic, 1918-1919 (mortality), Influenza, Human (epidemiology), Influenza, Human (history), Influenza, Human (mortality), Models, Statistical, Portugal (epidemiology), Respiratory Tract Diseases (mortality), Sex Distribution, Socioeconomic Factors, Spatio-Temporal Analysis.
- MESH :
- geographic , epidemiology : Portugal.
- epidemiology : Influenza, Human.
- history : Influenza Pandemic, 1918-1919, Influenza, Human.
- mortality : Influenza Pandemic, 1918-1919, Influenza, Human, Respiratory Tract Diseases.
- Age Distribution, Cause of Death, History, 20th Century, Humans, Models, Statistical, Sex Distribution, Socioeconomic Factors, Spatio-Temporal Analysis.
Abstract
Although the impact of deaths occurring during the 1918-1919 influenza pandemic has been assessed in many archeo-epidemiologic studies, detailed estimates are not available for Portugal. We applied negative binomial models to monthly data on respiratory-related and all-cause deaths at the national and district levels from Portugal for 1916-1922. Influenza-related excess mortality was computed as the difference between observed and expected deaths. Poisson regression was used to estimate the association of geographic and sociodemographic factors with excess mortality. Two waves of pandemic influenza-July 1918 to January 1919 and April to May 1919-were identified, for which the excess all-cause death rate was 195.7 per 10,000 persons. All districts of Portugal were affected. The pandemic hit earlier in southeastern districts and the main cities, but excess mortality was highest in the northeast, in line with the high death burden experienced by northern Spanish provinces. During the period of intense excess mortality (fall/winter 1918-1919), population density was negatively associated with pandemic impact. This pattern changed during the March 1919 to June 1920 wave, when excess mortality increased with population density and in northern and western directions. Portuguese islands were less and later affected. Given the geographic heterogeneity evidenced in our study, subnational sociodemographic characteristics and connectivity should be integrated in pandemic preparedness plans.
DOI: 10.1093/aje/kwy164
PubMed: 30099487
Affiliations:
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qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="histoire" xml:lang="fr"><term>Grippe humaine</term><term>Pandémie de grippe de 1918-1919</term></keywords><keywords scheme="MESH" qualifier="history" xml:lang="en"><term>Influenza Pandemic, 1918-1919</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Influenza Pandemic, 1918-1919</term><term>Influenza, Human</term><term>Respiratory Tract Diseases</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Grippe humaine</term><term>Maladies de l'appareil respiratoire</term><term>Pandémie de grippe de 1918-1919</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term><term>Portugal</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Age Distribution</term><term>Cause of Death</term><term>History, 20th Century</term><term>Humans</term><term>Models, Statistical</term><term>Sex Distribution</term><term>Socioeconomic Factors</term><term>Spatio-Temporal Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse spatio-temporelle</term><term>Cause de décès</term><term>Facteurs socioéconomiques</term><term>Histoire du 20ème siècle</term><term>Humains</term><term>Modèles statistiques</term><term>Répartition par sexe</term><term>Répartition par âge</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Portugal</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Although the impact of deaths occurring during the 1918-1919 influenza pandemic has been assessed in many archeo-epidemiologic studies, detailed estimates are not available for Portugal. We applied negative binomial models to monthly data on respiratory-related and all-cause deaths at the national and district levels from Portugal for 1916-1922. Influenza-related excess mortality was computed as the difference between observed and expected deaths. Poisson regression was used to estimate the association of geographic and sociodemographic factors with excess mortality. Two waves of pandemic influenza-July 1918 to January 1919 and April to May 1919-were identified, for which the excess all-cause death rate was 195.7 per 10,000 persons. All districts of Portugal were affected. The pandemic hit earlier in southeastern districts and the main cities, but excess mortality was highest in the northeast, in line with the high death burden experienced by northern Spanish provinces. During the period of intense excess mortality (fall/winter 1918-1919), population density was negatively associated with pandemic impact. This pattern changed during the March 1919 to June 1920 wave, when excess mortality increased with population density and in northern and western directions. Portuguese islands were less and later affected. Given the geographic heterogeneity evidenced in our study, subnational sociodemographic characteristics and connectivity should be integrated in pandemic preparedness plans.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30099487</PMID><DateCompleted><Year>2019</Year><Month>09</Month><Day>16</Day></DateCompleted><DateRevised><Year>2019</Year><Month>09</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1476-6256</ISSN><JournalIssue CitedMedium="Internet"><Volume>187</Volume><Issue>12</Issue><PubDate><Year>2018</Year><Month>12</Month><Day>01</Day></PubDate></JournalIssue><Title>American journal of epidemiology</Title><ISOAbbreviation>Am. J. Epidemiol.</ISOAbbreviation></Journal><ArticleTitle>The 1918-1919 Influenza Pandemic in Portugal: A Regional Analysis of Death Impact.</ArticleTitle><Pagination><MedlinePgn>2541-2549</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1093/aje/kwy164</ELocationID><Abstract><AbstractText>Although the impact of deaths occurring during the 1918-1919 influenza pandemic has been assessed in many archeo-epidemiologic studies, detailed estimates are not available for Portugal. We applied negative binomial models to monthly data on respiratory-related and all-cause deaths at the national and district levels from Portugal for 1916-1922. Influenza-related excess mortality was computed as the difference between observed and expected deaths. Poisson regression was used to estimate the association of geographic and sociodemographic factors with excess mortality. Two waves of pandemic influenza-July 1918 to January 1919 and April to May 1919-were identified, for which the excess all-cause death rate was 195.7 per 10,000 persons. All districts of Portugal were affected. The pandemic hit earlier in southeastern districts and the main cities, but excess mortality was highest in the northeast, in line with the high death burden experienced by northern Spanish provinces. During the period of intense excess mortality (fall/winter 1918-1919), population density was negatively associated with pandemic impact. This pattern changed during the March 1919 to June 1920 wave, when excess mortality increased with population density and in northern and western directions. Portuguese islands were less and later affected. Given the geographic heterogeneity evidenced in our study, subnational sociodemographic characteristics and connectivity should be integrated in pandemic preparedness plans.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Nunes</LastName><ForeName>Baltazar</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Lisboa, Portugal.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Silva</LastName><ForeName>Susana</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rodrigues</LastName><ForeName>Ana</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Roquette</LastName><ForeName>Rita</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Batista</LastName><ForeName>Inês</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rebelo-de-Andrade</LastName><ForeName>Helena</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Infectious Diseases, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Host-Pathogen Interaction Unit, Research Institute for Medicines.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016456">Historical Article</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Am J Epidemiol</MedlineTA><NlmUniqueID>7910653</NlmUniqueID><ISSNLinking>0002-9262</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002423" MajorTopicYN="N">Cause of Death</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D049673" MajorTopicYN="N">History, 20th Century</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D064149" MajorTopicYN="N">Influenza Pandemic, 1918-1919</DescriptorName><QualifierName UI="Q000266" MajorTopicYN="Y">history</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000266" MajorTopicYN="Y">history</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011174" MajorTopicYN="N" Type="Geographic">Portugal</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012140" MajorTopicYN="N">Respiratory Tract Diseases</DescriptorName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017678" MajorTopicYN="N">Sex Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D062211" MajorTopicYN="N">Spatio-Temporal Analysis</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>04</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>07</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>8</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>9</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>8</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">30099487</ArticleId><ArticleId IdType="pii">5067655</ArticleId><ArticleId IdType="doi">10.1093/aje/kwy164</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Portugal</li></country></list><tree><country name="Portugal"><noRegion><name sortKey="Nunes, Baltazar" sort="Nunes, Baltazar" uniqKey="Nunes B" first="Baltazar" last="Nunes">Baltazar Nunes</name></noRegion><name sortKey="Batista, Ines" sort="Batista, Ines" uniqKey="Batista I" first="Inês" last="Batista">Inês Batista</name><name sortKey="Rebelo De Andrade, Helena" sort="Rebelo De Andrade, Helena" uniqKey="Rebelo De Andrade H" first="Helena" last="Rebelo-De-Andrade">Helena Rebelo-De-Andrade</name><name sortKey="Rodrigues, Ana" sort="Rodrigues, Ana" uniqKey="Rodrigues A" first="Ana" last="Rodrigues">Ana Rodrigues</name><name sortKey="Roquette, Rita" sort="Roquette, Rita" uniqKey="Roquette R" first="Rita" last="Roquette">Rita Roquette</name><name sortKey="Silva, Susana" sort="Silva, Susana" uniqKey="Silva S" first="Susana" last="Silva">Susana Silva</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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