Serveur d'exploration sur les pandémies grippales

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.

Visualizing Europe’s demographic scars with coplots and contour plots

Identifieur interne : 001737 ( Ncbi/Curation ); précédent : 001736; suivant : 001738

Visualizing Europe’s demographic scars with coplots and contour plots

Auteurs : Jonathan Minton [Royaume-Uni] ; Laura Vanderbloemen [Royaume-Uni] ; Danny Dorling [Royaume-Uni]

Source :

RBID : PMC:3781004

Descripteurs français

English descriptors

Abstract

We present two enhancements to existing methods for visualizing vital statistics data. Data from the Human Mortality Database were used and vital statistics from England and Wales are used for illustration. The simpler of these methods involves coplotting mean age of death with its variance, and the more complex of these methods is to present data as a contour plot. The coplot method shows the effect of the 20th century’s epidemiological transitions. The contour plot method allows more complex and subtle age, period and cohort effects to be seen.

The contour plot shows the effects of broad improvements in public health over the 20th century, including vast reductions in rates of childhood mortality, reduced baseline mortality risks during adulthood and the postponement of higher mortality risks to older ages. They also show the effects of the two world wars and the 1918 influenza pandemic on men of fighting age, women and children. The contour plots also show a cohort effect for people born around 1918, suggesting a possible epigenetic effect of parental exposure to the pandemic which shortened the cohort’s lifespan and which has so far received little attention.

Although this article focuses on data from England and Wales, the associated online appendices contain equivalent visualizations for almost 50 series of data available on the Human Mortality Database. We expect that further analyses of these visualizations will reveal further insights into global public health.


Url:
DOI: 10.1093/ije/dyt115
PubMed: 24062300
PubMed Central: 3781004

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


Links to Exploration step

PMC:3781004

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Visualizing Europe’s demographic scars with coplots and contour plots</title>
<author>
<name sortKey="Minton, Jonathan" sort="Minton, Jonathan" uniqKey="Minton J" first="Jonathan" last="Minton">Jonathan Minton</name>
<affiliation wicri:level="4">
<nlm:aff id="dyt115-AFF1">Department of Urban Studies, University of Glasgow, Glasgow, UK,</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Urban Studies, University of Glasgow, Glasgow</wicri:regionArea>
<orgName type="university">Université de Glasgow</orgName>
<placeName>
<settlement type="city">Glasgow</settlement>
<region type="country">Écosse</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Vanderbloemen, Laura" sort="Vanderbloemen, Laura" uniqKey="Vanderbloemen L" first="Laura" last="Vanderbloemen">Laura Vanderbloemen</name>
<affiliation wicri:level="1">
<nlm:aff wicri:cut=" and" id="dyt115-AFF1">Department of Health Science, University of York, York, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Health Science, University of York, York</wicri:regionArea>
<wicri:noRegion>York</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Dorling, Danny" sort="Dorling, Danny" uniqKey="Dorling D" first="Danny" last="Dorling">Danny Dorling</name>
<affiliation wicri:level="4">
<nlm:aff id="dyt115-AFF1">School of Geography and the Environment, University of Oxford, Oxford, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>School of Geography and the Environment, University of Oxford, Oxford</wicri:regionArea>
<placeName>
<settlement type="city">Oxford</settlement>
<region type="country">Angleterre</region>
<region type="comté" nuts="2">Oxfordshire</region>
</placeName>
<orgName type="university">Université d'Oxford</orgName>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">24062300</idno>
<idno type="pmc">3781004</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781004</idno>
<idno type="RBID">PMC:3781004</idno>
<idno type="doi">10.1093/ije/dyt115</idno>
<date when="2013">2013</date>
<idno type="wicri:Area/Pmc/Corpus">000B02</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000B02</idno>
<idno type="wicri:Area/Pmc/Curation">000B02</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000B02</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000508</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000508</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:24062300</idno>
<idno type="wicri:Area/PubMed/Corpus">000943</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000943</idno>
<idno type="wicri:Area/PubMed/Curation">000943</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000943</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000877</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000877</idno>
<idno type="wicri:Area/Ncbi/Merge">001737</idno>
<idno type="wicri:Area/Ncbi/Curation">001737</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Visualizing Europe’s demographic scars with coplots and contour plots</title>
<author>
<name sortKey="Minton, Jonathan" sort="Minton, Jonathan" uniqKey="Minton J" first="Jonathan" last="Minton">Jonathan Minton</name>
<affiliation wicri:level="4">
<nlm:aff id="dyt115-AFF1">Department of Urban Studies, University of Glasgow, Glasgow, UK,</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Urban Studies, University of Glasgow, Glasgow</wicri:regionArea>
<orgName type="university">Université de Glasgow</orgName>
<placeName>
<settlement type="city">Glasgow</settlement>
<region type="country">Écosse</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Vanderbloemen, Laura" sort="Vanderbloemen, Laura" uniqKey="Vanderbloemen L" first="Laura" last="Vanderbloemen">Laura Vanderbloemen</name>
<affiliation wicri:level="1">
<nlm:aff wicri:cut=" and" id="dyt115-AFF1">Department of Health Science, University of York, York, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Health Science, University of York, York</wicri:regionArea>
<wicri:noRegion>York</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Dorling, Danny" sort="Dorling, Danny" uniqKey="Dorling D" first="Danny" last="Dorling">Danny Dorling</name>
<affiliation wicri:level="4">
<nlm:aff id="dyt115-AFF1">School of Geography and the Environment, University of Oxford, Oxford, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>School of Geography and the Environment, University of Oxford, Oxford</wicri:regionArea>
<placeName>
<settlement type="city">Oxford</settlement>
<region type="country">Angleterre</region>
<region type="comté" nuts="2">Oxfordshire</region>
</placeName>
<orgName type="university">Université d'Oxford</orgName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">International Journal of Epidemiology</title>
<idno type="ISSN">0300-5771</idno>
<idno type="eISSN">1464-3685</idno>
<imprint>
<date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Age Factors</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Demography (statistics & numerical data)</term>
<term>England (epidemiology)</term>
<term>Europe (epidemiology)</term>
<term>Humans</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Mortality (trends)</term>
<term>Survival Rate</term>
<term>Wales (epidemiology)</term>
<term>World War I</term>
<term>World War II</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Angleterre (épidémiologie)</term>
<term>Démographie ()</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Europe (épidémiologie)</term>
<term>Facteurs de l'âge</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mortalité (tendances)</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Pays de Galles (épidémiologie)</term>
<term>Première Guerre mondiale</term>
<term>Seconde Guerre mondiale</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Taux de survie</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en">
<term>England</term>
<term>Europe</term>
<term>Wales</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en">
<term>Demography</term>
</keywords>
<keywords scheme="MESH" qualifier="tendances" xml:lang="fr">
<term>Mortalité</term>
</keywords>
<keywords scheme="MESH" qualifier="trends" xml:lang="en">
<term>Mortality</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Angleterre</term>
<term>Europe</term>
<term>Pays de Galles</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Age Factors</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Humans</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Survival Rate</term>
<term>World War I</term>
<term>World War II</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Démographie</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Facteurs de l'âge</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Première Guerre mondiale</term>
<term>Seconde Guerre mondiale</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Taux de survie</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>We present two enhancements to existing methods for visualizing vital statistics data. Data from the Human Mortality Database were used and vital statistics from England and Wales are used for illustration. The simpler of these methods involves coplotting mean age of death with its variance, and the more complex of these methods is to present data as a contour plot. The coplot method shows the effect of the 20th century’s epidemiological transitions. The contour plot method allows more complex and subtle age, period and cohort effects to be seen.</p>
<p>The contour plot shows the effects of broad improvements in public health over the 20th century, including vast reductions in rates of childhood mortality, reduced baseline mortality risks during adulthood and the postponement of higher mortality risks to older ages. They also show the effects of the two world wars and the 1918 influenza pandemic on men of fighting age, women and children. The contour plots also show a cohort effect for people born around 1918, suggesting a possible epigenetic effect of parental exposure to the pandemic which shortened the cohort’s lifespan and which has so far received little attention.</p>
<p>Although this article focuses on data from England and Wales, the associated online appendices contain equivalent visualizations for almost 50 series of data available on the Human Mortality Database. We expect that further analyses of these visualizations will reveal further insights into global public health.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Davey Smith, G" uniqKey="Davey Smith G">G Davey Smith</name>
</author>
<author>
<name sortKey="Marmot, Mg" uniqKey="Marmot M">MG Marmot</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Harris, B" uniqKey="Harris B">B Harris</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Szeter, S" uniqKey="Szeter S">S Szeter</name>
</author>
<author>
<name sortKey="Mooney, G" uniqKey="Mooney G">G Mooney</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Davey Smith, G" uniqKey="Davey Smith G">G Davey Smith</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Leon, Da" uniqKey="Leon D">DA Leon</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Alen Sula, C" uniqKey="Alen Sula C">C Alen Sula</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wilkinson, Rg" uniqKey="Wilkinson R">RG Wilkinson</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gompertz, B" uniqKey="Gompertz B">B Gompertz</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kermack, W" uniqKey="Kermack W">W Kermack</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Barker, Djp" uniqKey="Barker D">DJP Barker</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Davey Smith, G" uniqKey="Davey Smith G">G Davey Smith</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rigby, Je" uniqKey="Rigby J">JE Rigby</name>
</author>
<author>
<name sortKey="Dorling, D" uniqKey="Dorling D">D Dorling</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lexis, W" uniqKey="Lexis W">W Lexis</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sarkar, D" uniqKey="Sarkar D">D Sarkar</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dwork, D" uniqKey="Dwork D">D Dwork</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Davey Smith, G" uniqKey="Davey Smith G">G Davey Smith</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ben Shlomo, Y" uniqKey="Ben Shlomo Y">Y Ben-Shlomo</name>
</author>
<author>
<name sortKey="Davey Smith, G" uniqKey="Davey Smith G">G Davey Smith</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Borghol, N" uniqKey="Borghol N">N Borghol</name>
</author>
<author>
<name sortKey="Suderman, M" uniqKey="Suderman M">M Suderman</name>
</author>
<author>
<name sortKey="Mcardle, W" uniqKey="Mcardle W">W McArdle</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hyman, Se" uniqKey="Hyman S">SE Hyman</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ma, Yt" uniqKey="Ma Y">YT Ma</name>
</author>
<author>
<name sortKey="Collins, Si" uniqKey="Collins S">SI Collins</name>
</author>
<author>
<name sortKey="Young, Ls" uniqKey="Young L">LS Young</name>
</author>
<author>
<name sortKey="Murray, Pg" uniqKey="Murray P">PG Murray</name>
</author>
<author>
<name sortKey="Woodman, Cbj" uniqKey="Woodman C">CBJ Woodman</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tang, Lp" uniqKey="Tang L">LP Tang</name>
</author>
<author>
<name sortKey="Macleod, Ja" uniqKey="Macleod J">JA Macleod</name>
</author>
<author>
<name sortKey="Hobbs, Fdr" uniqKey="Hobbs F">FDR Hobbs</name>
</author>
<author>
<name sortKey="Wharton, Ba" uniqKey="Wharton B">BA Wharton</name>
</author>
<author>
<name sortKey="Davey Smith, G" uniqKey="Davey Smith G">G Davey Smith</name>
</author>
<author>
<name sortKey="Stewart, Pm" uniqKey="Stewart P">PM Stewart</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Horrell, S" uniqKey="Horrell S">S Horrell</name>
</author>
<author>
<name sortKey="Humphries, J" uniqKey="Humphries J">J Humphries</name>
</author>
<author>
<name sortKey="Voth, Hj" uniqKey="Voth H">HJ Voth</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Thayer, Zm" uniqKey="Thayer Z">ZM Thayer</name>
</author>
<author>
<name sortKey="Kuzawa, Cw" uniqKey="Kuzawa C">CW Kuzawa</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Roseboom, Tj" uniqKey="Roseboom T">TJ Roseboom</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Painter, Rc" uniqKey="Painter R">RC Painter</name>
</author>
<author>
<name sortKey="Roseboom, Tj" uniqKey="Roseboom T">TJ Roseboom</name>
</author>
<author>
<name sortKey="Bleker, Op" uniqKey="Bleker O">OP Bleker</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Elias, Sg" uniqKey="Elias S">SG Elias</name>
</author>
<author>
<name sortKey="Peeters, Phm" uniqKey="Peeters P">PHM Peeters</name>
</author>
<author>
<name sortKey="Grobbee, De" uniqKey="Grobbee D">DE Grobbee</name>
</author>
<author>
<name sortKey="Van Noord, Pah" uniqKey="Van Noord P">PAH van Noord</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Roseboom, Tj" uniqKey="Roseboom T">TJ Roseboom</name>
</author>
<author>
<name sortKey="Van Der Meulen, Jhp" uniqKey="Van Der Meulen J">JHP van der Meulen</name>
</author>
<author>
<name sortKey="Osmond, C" uniqKey="Osmond C">C Osmond</name>
</author>
<author>
<name sortKey="Barker, Djp" uniqKey="Barker D">DJP Barker</name>
</author>
<author>
<name sortKey="Ravelli, Acj" uniqKey="Ravelli A">ACJ Ravelli</name>
</author>
<author>
<name sortKey="Bleker, Op" uniqKey="Bleker O">OP Bleker</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Almond, D" uniqKey="Almond D">D Almond</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Omran, Ar" uniqKey="Omran A">AR Omran</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dorling, D" uniqKey="Dorling D">D Dorling</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Olshansky, Sj" uniqKey="Olshansky S">SJ Olshansky</name>
</author>
<author>
<name sortKey="Carnes, Ba" uniqKey="Carnes B">BA Carnes</name>
</author>
<author>
<name sortKey="Desesguelles, A" uniqKey="Desesguelles A">A Désesguelles</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Oeppen, J" uniqKey="Oeppen J">J Oeppen</name>
</author>
<author>
<name sortKey="Vaupel, Jw" uniqKey="Vaupel J">JW Vaupel</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sankoh, O" uniqKey="Sankoh O">O Sankoh</name>
</author>
<author>
<name sortKey="Byass, P" uniqKey="Byass P">P Byass</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cardwell, Cr" uniqKey="Cardwell C">CR Cardwell</name>
</author>
<author>
<name sortKey="Stene, Lc" uniqKey="Stene L">LC Stene</name>
</author>
<author>
<name sortKey="Joner, G" uniqKey="Joner G">G Joner</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Ncbi/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001737 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd -nk 001737 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    PandemieGrippaleV1
   |flux=    Ncbi
   |étape=   Curation
   |type=    RBID
   |clé=     PMC:3781004
   |texte=   Visualizing Europe’s demographic scars with coplots and contour plots
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/RBID.i   -Sk "pubmed:24062300" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd   \
       | NlmPubMed2Wicri -a PandemieGrippaleV1 

Wicri

This area was generated with Dilib version V0.6.34.
Data generation: Wed Jun 10 11:04:28 2020. Site generation: Sun Mar 28 09:10:28 2021