Visualizing Europe’s demographic scars with coplots and contour plots
Identifieur interne : 001737 ( Ncbi/Checkpoint ); précédent : 001736; suivant : 001738Visualizing Europe’s demographic scars with coplots and contour plots
Auteurs : Jonathan Minton [Royaume-Uni] ; Laura Vanderbloemen [Royaume-Uni] ; Danny Dorling [Royaume-Uni]Source :
- International Journal of Epidemiology [ 0300-5771 ] ; 2013.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Angleterre (épidémiologie), Démographie (), Enfant, Enfant d'âge préscolaire, Europe (épidémiologie), Facteurs de l'âge, Humains, Jeune adulte, Mortalité (tendances), Mâle, Nourrisson, Nouveau-né, Pays de Galles (épidémiologie), Première Guerre mondiale, Seconde Guerre mondiale, Sujet âgé, Sujet âgé de 80 ans ou plus, Taux de survie.
- MESH :
- tendances : Mortalité.
- épidémiologie : Angleterre, Europe, Pays de Galles.
- Adolescent, Adulte, Adulte d'âge moyen, Démographie, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Humains, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Première Guerre mondiale, Seconde Guerre mondiale, Sujet âgé, Sujet âgé de 80 ans ou plus, Taux de survie.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Demography (statistics & numerical data), England (epidemiology), Europe (epidemiology), Humans, Infant, Infant, Newborn, Male, Middle Aged, Mortality (trends), Survival Rate, Wales (epidemiology), World War I, World War II, Young Adult.
- MESH :
- geographic , epidemiology : England, Europe, Wales.
- statistics & numerical data : Demography.
- trends : Mortality.
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Humans, Infant, Infant, Newborn, Male, Middle Aged, Survival Rate, World War I, World War II, Young Adult.
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
Affiliations:
- Royaume-Uni
- Angleterre, Oxfordshire, Écosse
- Glasgow, Oxford
- Université d'Oxford, Université de Glasgow
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PMC:3781004Le document en format XML
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<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>
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