Corpus GrippeAllemagneV3

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Daily mortality and fine and ultrafine particles in Erfurt, Germany part I: role of particle number and particle mass.

Identifieur interne : 000558 ( Main/Exploration ); précédent : 000557; suivant : 000559

Daily mortality and fine and ultrafine particles in Erfurt, Germany part I: role of particle number and particle mass.

Auteurs : H E Wichmann [Allemagne] ; C. Spix ; T. Tuch ; G. Wölke ; A. Peters ; J. Heinrich ; W G Kreyling ; J. Heyder

Source :

RBID : pubmed:11918089

Descripteurs français

English descriptors

Abstract

Increases in morbidity and mortality have been observed consistently and coherently in association with ambient air pollution. A number of studies on short-term effects have identified ambient particles as a major pollutant in urban air. This study, conducted in Erfurt, Germany, investigated the association of mortality not only with ambient particles but also with gaseous pollutants and indicators of sources. Part I of this study concentrates on particles. Data were collected prospectively over a 3.5-year period from September 1995 to December 1998. Death certificates were obtained from the local authorities and aggregated to daily time series of total counts and counts for subgroups. In addition to standard data for particle mass with diameters < or = 2.5 microm (PM2.5)* or < or = 10 microm (PM10) from impactors, a mobile aerosol spectrometer (MAS) was used to obtain size-specific number and mass concentration data in six size classes between 0.01 microm and 2.5 microm. Particles smaller than 0.1 microm were labeled ultrafine particles (three size classes), and particles between 0.1 and 2.5 microm were termed fine particles (three size classes). Concentrations of the gases sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were also measured. The daily average total number concentration was 18,000 particles/cm3 with 88% of particles below 0.1 pm and 58% below 0.03 microm in diameter. The average mass concentration (PM2.5) was 26 microg/m3; of this, 75% of particles were between 0.1 and 0.5 microm in diameter. Other average concentrations were 38 microg/m3 for PM10, 17 microg/m3 for SO2, 36 microg/m3 for NO2, and 600 microg/m3 for CO. Ambient air pollution demonstrated a strong seasonality with maximum concentrations in winter. Across the study period, fine particle mass decreased, whereas ultrafine particle number was unchanged. The proportion of ultrafine particles below 0.03 microm diameter increased compared with the proportion of other particles. During the study, concentrations of SO2 and CO also decreased, whereas the concentration of NO2 remained unchanged. The data were analyzed using Poisson regression techniques with generalized additive modeling (GAM) to allow nonparametric adjustment for the confounders. Both the best single-day lag and the overall association of multiple days fitted by a polynomial distributed lag model were used to assess the lag structure between air pollution and death. Mortality increased in association with level of ambient air pollution after adjustment for season, influenza epidemics, day of week, and weather. In the sensitivity analyses, the results proved stable against changes of the confounder model. We saw comparable associations for ultrafine and fine particles in a distributed lag model where the contribution of the previous 4 to 5 days was considered. Furthermore, the data suggest a somewhat more delayed association of ultrafine particles than of fine particles if single-day lags are considered. The associations tended to be stronger in winter than in summer and at ages below 70 years compared to ages above 70 years. Analysis of the prevalent diseases mentioned on death certificates revealed that the overall association for respiratory diseases was slightly stronger than for cardiovascular diseases. In two-pollutant models, associations of ultrafine and fine particles seemed to be largely independent of each other, and the risk was enhanced if both were considered at the same time. Furthermore, when the associations were summed for the six size classes between 0.01 and 2.5 microm, the overall association was clearly stronger than the associations of the individual size classes alone. Associations were observed for SO2, NO2, and CO with mortality despite low concentrations of these gases. These associations disappeared in two-pollutant models for NO2 and CO, but they remained stable for SO2. The persistence of the SO2 effect was interpreted as artifact, however, because the SO2 concentration was much below levels at which effects are usually expected. Furthermore, the results for SO2 were inconsistent with those from earlier studies conducted in Erfurt. We conclude that both fine particles (represented by particle mass) and ultrafine particles (represented by particle number) showed independent effects on mortality at ambient concentrations. Comparable associations for gaseous pollutants were interpreted as artifacts of collinearity with particles from the same sources.

PubMed: 11918089


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Daily mortality and fine and ultrafine particles in Erfurt, Germany part I: role of particle number and particle mass.</title>
<author>
<name sortKey="Wichmann, H E" sort="Wichmann, H E" uniqKey="Wichmann H" first="H E" last="Wichmann">H E Wichmann</name>
<affiliation wicri:level="1">
<nlm:affiliation>GSF Institute of Epidemiology, Neuherberg, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>GSF Institute of Epidemiology, Neuherberg</wicri:regionArea>
<wicri:noRegion>Neuherberg</wicri:noRegion>
<wicri:noRegion>Neuherberg</wicri:noRegion>
<wicri:noRegion>Neuherberg</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Spix, C" sort="Spix, C" uniqKey="Spix C" first="C" last="Spix">C. Spix</name>
</author>
<author>
<name sortKey="Tuch, T" sort="Tuch, T" uniqKey="Tuch T" first="T" last="Tuch">T. Tuch</name>
</author>
<author>
<name sortKey="Wolke, G" sort="Wolke, G" uniqKey="Wolke G" first="G" last="Wölke">G. Wölke</name>
</author>
<author>
<name sortKey="Peters, A" sort="Peters, A" uniqKey="Peters A" first="A" last="Peters">A. Peters</name>
</author>
<author>
<name sortKey="Heinrich, J" sort="Heinrich, J" uniqKey="Heinrich J" first="J" last="Heinrich">J. Heinrich</name>
</author>
<author>
<name sortKey="Kreyling, W G" sort="Kreyling, W G" uniqKey="Kreyling W" first="W G" last="Kreyling">W G Kreyling</name>
</author>
<author>
<name sortKey="Heyder, J" sort="Heyder, J" uniqKey="Heyder J" first="J" last="Heyder">J. Heyder</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2000">2000</date>
<idno type="RBID">pubmed:11918089</idno>
<idno type="pmid">11918089</idno>
<idno type="wicri:Area/Main/Corpus">000561</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000561</idno>
<idno type="wicri:Area/Main/Curation">000561</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000561</idno>
<idno type="wicri:Area/Main/Exploration">000561</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Daily mortality and fine and ultrafine particles in Erfurt, Germany part I: role of particle number and particle mass.</title>
<author>
<name sortKey="Wichmann, H E" sort="Wichmann, H E" uniqKey="Wichmann H" first="H E" last="Wichmann">H E Wichmann</name>
<affiliation wicri:level="1">
<nlm:affiliation>GSF Institute of Epidemiology, Neuherberg, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>GSF Institute of Epidemiology, Neuherberg</wicri:regionArea>
<wicri:noRegion>Neuherberg</wicri:noRegion>
<wicri:noRegion>Neuherberg</wicri:noRegion>
<wicri:noRegion>Neuherberg</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Spix, C" sort="Spix, C" uniqKey="Spix C" first="C" last="Spix">C. Spix</name>
</author>
<author>
<name sortKey="Tuch, T" sort="Tuch, T" uniqKey="Tuch T" first="T" last="Tuch">T. Tuch</name>
</author>
<author>
<name sortKey="Wolke, G" sort="Wolke, G" uniqKey="Wolke G" first="G" last="Wölke">G. Wölke</name>
</author>
<author>
<name sortKey="Peters, A" sort="Peters, A" uniqKey="Peters A" first="A" last="Peters">A. Peters</name>
</author>
<author>
<name sortKey="Heinrich, J" sort="Heinrich, J" uniqKey="Heinrich J" first="J" last="Heinrich">J. Heinrich</name>
</author>
<author>
<name sortKey="Kreyling, W G" sort="Kreyling, W G" uniqKey="Kreyling W" first="W G" last="Kreyling">W G Kreyling</name>
</author>
<author>
<name sortKey="Heyder, J" sort="Heyder, J" uniqKey="Heyder J" first="J" last="Heyder">J. Heyder</name>
</author>
</analytic>
<series>
<title level="j">Research report (Health Effects Institute)</title>
<idno type="ISSN">1041-5505</idno>
<imprint>
<date when="2000" type="published">2000</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Air Pollution (adverse effects)</term>
<term>Air Pollution (analysis)</term>
<term>Cardiovascular Diseases (mortality)</term>
<term>Cause of Death</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Environmental Exposure (adverse effects)</term>
<term>Environmental Exposure (analysis)</term>
<term>Germany (epidemiology)</term>
<term>Humans</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Middle Aged</term>
<term>Models, Statistical</term>
<term>Mortality</term>
<term>Particle Size</term>
<term>Regression Analysis</term>
<term>Respiratory Tract Diseases (mortality)</term>
<term>Risk</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Allemagne (épidémiologie)</term>
<term>Analyse de régression</term>
<term>Cause de décès</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Exposition environnementale (analyse)</term>
<term>Exposition environnementale (effets indésirables)</term>
<term>Humains</term>
<term>Maladies cardiovasculaires (mortalité)</term>
<term>Maladies de l'appareil respiratoire (mortalité)</term>
<term>Modèles statistiques</term>
<term>Mortalité</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Pollution de l'air (analyse)</term>
<term>Pollution de l'air (effets indésirables)</term>
<term>Risque</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Taille de particule</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en">
<term>Germany</term>
</keywords>
<keywords scheme="MESH" qualifier="adverse effects" xml:lang="en">
<term>Air Pollution</term>
<term>Environmental Exposure</term>
</keywords>
<keywords scheme="MESH" qualifier="analyse" xml:lang="fr">
<term>Exposition environnementale</term>
<term>Pollution de l'air</term>
</keywords>
<keywords scheme="MESH" qualifier="analysis" xml:lang="en">
<term>Air Pollution</term>
<term>Environmental Exposure</term>
</keywords>
<keywords scheme="MESH" qualifier="effets indésirables" xml:lang="fr">
<term>Exposition environnementale</term>
<term>Pollution de l'air</term>
</keywords>
<keywords scheme="MESH" qualifier="mortality" xml:lang="en">
<term>Cardiovascular Diseases</term>
<term>Respiratory Tract Diseases</term>
</keywords>
<keywords scheme="MESH" qualifier="mortalité" xml:lang="fr">
<term>Maladies cardiovasculaires</term>
<term>Maladies de l'appareil respiratoire</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Allemagne</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Cause of Death</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Humans</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Middle Aged</term>
<term>Models, Statistical</term>
<term>Mortality</term>
<term>Particle Size</term>
<term>Regression Analysis</term>
<term>Risk</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Analyse de régression</term>
<term>Cause de décès</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Humains</term>
<term>Modèles statistiques</term>
<term>Mortalité</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Risque</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Taille de particule</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Allemagne</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Increases in morbidity and mortality have been observed consistently and coherently in association with ambient air pollution. A number of studies on short-term effects have identified ambient particles as a major pollutant in urban air. This study, conducted in Erfurt, Germany, investigated the association of mortality not only with ambient particles but also with gaseous pollutants and indicators of sources. Part I of this study concentrates on particles. Data were collected prospectively over a 3.5-year period from September 1995 to December 1998. Death certificates were obtained from the local authorities and aggregated to daily time series of total counts and counts for subgroups. In addition to standard data for particle mass with diameters < or = 2.5 microm (PM2.5)* or < or = 10 microm (PM10) from impactors, a mobile aerosol spectrometer (MAS) was used to obtain size-specific number and mass concentration data in six size classes between 0.01 microm and 2.5 microm. Particles smaller than 0.1 microm were labeled ultrafine particles (three size classes), and particles between 0.1 and 2.5 microm were termed fine particles (three size classes). Concentrations of the gases sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were also measured. The daily average total number concentration was 18,000 particles/cm3 with 88% of particles below 0.1 pm and 58% below 0.03 microm in diameter. The average mass concentration (PM2.5) was 26 microg/m3; of this, 75% of particles were between 0.1 and 0.5 microm in diameter. Other average concentrations were 38 microg/m3 for PM10, 17 microg/m3 for SO2, 36 microg/m3 for NO2, and 600 microg/m3 for CO. Ambient air pollution demonstrated a strong seasonality with maximum concentrations in winter. Across the study period, fine particle mass decreased, whereas ultrafine particle number was unchanged. The proportion of ultrafine particles below 0.03 microm diameter increased compared with the proportion of other particles. During the study, concentrations of SO2 and CO also decreased, whereas the concentration of NO2 remained unchanged. The data were analyzed using Poisson regression techniques with generalized additive modeling (GAM) to allow nonparametric adjustment for the confounders. Both the best single-day lag and the overall association of multiple days fitted by a polynomial distributed lag model were used to assess the lag structure between air pollution and death. Mortality increased in association with level of ambient air pollution after adjustment for season, influenza epidemics, day of week, and weather. In the sensitivity analyses, the results proved stable against changes of the confounder model. We saw comparable associations for ultrafine and fine particles in a distributed lag model where the contribution of the previous 4 to 5 days was considered. Furthermore, the data suggest a somewhat more delayed association of ultrafine particles than of fine particles if single-day lags are considered. The associations tended to be stronger in winter than in summer and at ages below 70 years compared to ages above 70 years. Analysis of the prevalent diseases mentioned on death certificates revealed that the overall association for respiratory diseases was slightly stronger than for cardiovascular diseases. In two-pollutant models, associations of ultrafine and fine particles seemed to be largely independent of each other, and the risk was enhanced if both were considered at the same time. Furthermore, when the associations were summed for the six size classes between 0.01 and 2.5 microm, the overall association was clearly stronger than the associations of the individual size classes alone. Associations were observed for SO2, NO2, and CO with mortality despite low concentrations of these gases. These associations disappeared in two-pollutant models for NO2 and CO, but they remained stable for SO2. The persistence of the SO2 effect was interpreted as artifact, however, because the SO2 concentration was much below levels at which effects are usually expected. Furthermore, the results for SO2 were inconsistent with those from earlier studies conducted in Erfurt. We conclude that both fine particles (represented by particle mass) and ultrafine particles (represented by particle number) showed independent effects on mortality at ambient concentrations. Comparable associations for gaseous pollutants were interpreted as artifacts of collinearity with particles from the same sources.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">11918089</PMID>
<DateCompleted>
<Year>2002</Year>
<Month>04</Month>
<Day>09</Day>
</DateCompleted>
<DateRevised>
<Year>2006</Year>
<Month>11</Month>
<Day>15</Day>
</DateRevised>
<Article PubModel="Print">
<Journal>
<ISSN IssnType="Print">1041-5505</ISSN>
<JournalIssue CitedMedium="Print">
<Issue>98</Issue>
<PubDate>
<Year>2000</Year>
<Month>Nov</Month>
</PubDate>
</JournalIssue>
<Title>Research report (Health Effects Institute)</Title>
<ISOAbbreviation>Res Rep Health Eff Inst</ISOAbbreviation>
</Journal>
<ArticleTitle>Daily mortality and fine and ultrafine particles in Erfurt, Germany part I: role of particle number and particle mass.</ArticleTitle>
<Pagination>
<MedlinePgn>5-86; discussion 87-94</MedlinePgn>
</Pagination>
<Abstract>
<AbstractText>Increases in morbidity and mortality have been observed consistently and coherently in association with ambient air pollution. A number of studies on short-term effects have identified ambient particles as a major pollutant in urban air. This study, conducted in Erfurt, Germany, investigated the association of mortality not only with ambient particles but also with gaseous pollutants and indicators of sources. Part I of this study concentrates on particles. Data were collected prospectively over a 3.5-year period from September 1995 to December 1998. Death certificates were obtained from the local authorities and aggregated to daily time series of total counts and counts for subgroups. In addition to standard data for particle mass with diameters < or = 2.5 microm (PM2.5)* or < or = 10 microm (PM10) from impactors, a mobile aerosol spectrometer (MAS) was used to obtain size-specific number and mass concentration data in six size classes between 0.01 microm and 2.5 microm. Particles smaller than 0.1 microm were labeled ultrafine particles (three size classes), and particles between 0.1 and 2.5 microm were termed fine particles (three size classes). Concentrations of the gases sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were also measured. The daily average total number concentration was 18,000 particles/cm3 with 88% of particles below 0.1 pm and 58% below 0.03 microm in diameter. The average mass concentration (PM2.5) was 26 microg/m3; of this, 75% of particles were between 0.1 and 0.5 microm in diameter. Other average concentrations were 38 microg/m3 for PM10, 17 microg/m3 for SO2, 36 microg/m3 for NO2, and 600 microg/m3 for CO. Ambient air pollution demonstrated a strong seasonality with maximum concentrations in winter. Across the study period, fine particle mass decreased, whereas ultrafine particle number was unchanged. The proportion of ultrafine particles below 0.03 microm diameter increased compared with the proportion of other particles. During the study, concentrations of SO2 and CO also decreased, whereas the concentration of NO2 remained unchanged. The data were analyzed using Poisson regression techniques with generalized additive modeling (GAM) to allow nonparametric adjustment for the confounders. Both the best single-day lag and the overall association of multiple days fitted by a polynomial distributed lag model were used to assess the lag structure between air pollution and death. Mortality increased in association with level of ambient air pollution after adjustment for season, influenza epidemics, day of week, and weather. In the sensitivity analyses, the results proved stable against changes of the confounder model. We saw comparable associations for ultrafine and fine particles in a distributed lag model where the contribution of the previous 4 to 5 days was considered. Furthermore, the data suggest a somewhat more delayed association of ultrafine particles than of fine particles if single-day lags are considered. The associations tended to be stronger in winter than in summer and at ages below 70 years compared to ages above 70 years. Analysis of the prevalent diseases mentioned on death certificates revealed that the overall association for respiratory diseases was slightly stronger than for cardiovascular diseases. In two-pollutant models, associations of ultrafine and fine particles seemed to be largely independent of each other, and the risk was enhanced if both were considered at the same time. Furthermore, when the associations were summed for the six size classes between 0.01 and 2.5 microm, the overall association was clearly stronger than the associations of the individual size classes alone. Associations were observed for SO2, NO2, and CO with mortality despite low concentrations of these gases. These associations disappeared in two-pollutant models for NO2 and CO, but they remained stable for SO2. The persistence of the SO2 effect was interpreted as artifact, however, because the SO2 concentration was much below levels at which effects are usually expected. Furthermore, the results for SO2 were inconsistent with those from earlier studies conducted in Erfurt. We conclude that both fine particles (represented by particle mass) and ultrafine particles (represented by particle number) showed independent effects on mortality at ambient concentrations. Comparable associations for gaseous pollutants were interpreted as artifacts of collinearity with particles from the same sources.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Wichmann</LastName>
<ForeName>H E</ForeName>
<Initials>HE</Initials>
<AffiliationInfo>
<Affiliation>GSF Institute of Epidemiology, Neuherberg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Spix</LastName>
<ForeName>C</ForeName>
<Initials>C</Initials>
</Author>
<Author ValidYN="Y">
<LastName>Tuch</LastName>
<ForeName>T</ForeName>
<Initials>T</Initials>
</Author>
<Author ValidYN="Y">
<LastName>Wölke</LastName>
<ForeName>G</ForeName>
<Initials>G</Initials>
</Author>
<Author ValidYN="Y">
<LastName>Peters</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Author>
<Author ValidYN="Y">
<LastName>Heinrich</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Author>
<Author ValidYN="Y">
<LastName>Kreyling</LastName>
<ForeName>W G</ForeName>
<Initials>WG</Initials>
</Author>
<Author ValidYN="Y">
<LastName>Heyder</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
<PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo>
<Country>United States</Country>
<MedlineTA>Res Rep Health Eff Inst</MedlineTA>
<NlmUniqueID>8812230</NlmUniqueID>
<ISSNLinking>1041-5505</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="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000397" MajorTopicYN="N">Air Pollution</DescriptorName>
<QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName>
<QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002318" MajorTopicYN="N">Cardiovascular Diseases</DescriptorName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002423" MajorTopicYN="N">Cause of Death</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D004781" MajorTopicYN="N">Environmental Exposure</DescriptorName>
<QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName>
<QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D009026" MajorTopicYN="Y">Mortality</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D010316" MajorTopicYN="N">Particle Size</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012140" MajorTopicYN="N">Respiratory Tract Diseases</DescriptorName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012306" MajorTopicYN="N">Risk</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="pubmed">
<Year>2002</Year>
<Month>3</Month>
<Day>29</Day>
<Hour>10</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2002</Year>
<Month>4</Month>
<Day>10</Day>
<Hour>10</Hour>
<Minute>1</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2002</Year>
<Month>3</Month>
<Day>29</Day>
<Hour>10</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">11918089</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Allemagne</li>
</country>
</list>
<tree>
<noCountry>
<name sortKey="Heinrich, J" sort="Heinrich, J" uniqKey="Heinrich J" first="J" last="Heinrich">J. Heinrich</name>
<name sortKey="Heyder, J" sort="Heyder, J" uniqKey="Heyder J" first="J" last="Heyder">J. Heyder</name>
<name sortKey="Kreyling, W G" sort="Kreyling, W G" uniqKey="Kreyling W" first="W G" last="Kreyling">W G Kreyling</name>
<name sortKey="Peters, A" sort="Peters, A" uniqKey="Peters A" first="A" last="Peters">A. Peters</name>
<name sortKey="Spix, C" sort="Spix, C" uniqKey="Spix C" first="C" last="Spix">C. Spix</name>
<name sortKey="Tuch, T" sort="Tuch, T" uniqKey="Tuch T" first="T" last="Tuch">T. Tuch</name>
<name sortKey="Wolke, G" sort="Wolke, G" uniqKey="Wolke G" first="G" last="Wölke">G. Wölke</name>
</noCountry>
<country name="Allemagne">
<noRegion>
<name sortKey="Wichmann, H E" sort="Wichmann, H E" uniqKey="Wichmann H" first="H E" last="Wichmann">H E Wichmann</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/GrippeAllemagneV3/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000558 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000558 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Sante
   |area=    GrippeAllemagneV3
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:11918089
   |texte=   Daily mortality and fine and ultrafine particles in Erfurt, Germany part I: role of particle number and particle mass.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:11918089" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a GrippeAllemagneV3 

Wicri

This area was generated with Dilib version V0.6.35.
Data generation: Tue Jul 7 11:47:10 2020. Site generation: Sat Sep 26 09:55:33 2020