Suchergebnisse

Une hausse temporaire du risque de décès au moment de l'entrée dans l'âge adulte a été observée dans de nombreuses populations sans qu'une explication n'émerge clairement jusqu'ici. Plusieurs études récentes permettent cependant de mieux cerner les principales caractéristiques de ce phénomène, qui s'avère historiquement non universel, davantage masculin sans toutefois que les femmes y échappent, et dominé par les morts violentes.

En 2018, l'espérance de vie à 35 ans des hommes cadres est de près de 50 ans, contre 44 ans pour les ouvriers, soit presque 6 ans d'écart. Ces écarts d'espérance de vie sont encore importants à 62 ans : 3 ans et 6 mois ans chez les hommes, 2 ans et 8 mois chez les femmes. En dépit d'un départ à la retraite plus précoce, les ouvriers passent 2 années de moins à la retraite que les cadres et 3,4 années de plus au chômage ou en inactivité. Par ailleurs, les années de chômage ou d'inactivité sont fréquentes dans les années précédant l'âge légal pour les ouvriers. Les femmes passent de 3 à 4 ans de plus à la retraite que les hommes de catégorie sociale similaire, mais aussi plus d'années qu'eux en inactivité.

Le nombre de décès aux très grands âges a considérablement augmenté dans les deux dernières décennies. Le décompte exact de ces décès que documente la base de données internationale sur la longévité n'est établi qu'après un processus strict de validation de l'âge. Ce sont essentiellement des femmes qui atteignent ces grands âges. Les supercentenaires (110 ans ou plus) sont surreprésentés aux Antilles.

International audience ; Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, the effectiveness of such governmental measures in reducing the mortality burden remains a key question of scientific interest and public debate. In this study, we leverage digital mobility data to assess the effects of reduced human mobility on excess mortality, focusing on regional data in England and Wales between February and August 2020. We estimate a robust association between mobility reductions and lower excess mortality, after adjusting for time trends and regional differences in a mixed-effects regression framework and considering a five-week lag between the two measures. We predict that, in the absence of mobility reductions, the number of excess deaths could have more than doubled in England and Wales during this period, especially in the London area. The study is one of the first attempts to quantify the effects of mobility reductions on excess mortality during the COVID-19 pandemic.

International audience ; Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, the effectiveness of such governmental measures in reducing the mortality burden remains a key question of scientific interest and public debate. In this study, we leverage digital mobility data to assess the effects of reduced human mobility on excess mortality, focusing on regional data in England and Wales between February and August 2020. We estimate a robust association between mobility reductions and lower excess mortality, after adjusting for time trends and regional differences in a mixed-effects regression framework and considering a five-week lag between the two measures. We predict that, in the absence of mobility reductions, the number of excess deaths could have more than doubled in England and Wales during this period, especially in the London area. The study is one of the first attempts to quantify the effects of mobility reductions on excess mortality during the COVID-19 pandemic.

Following the outbreak of COVID-19, a number of non-pharmaceutical interventions have been implemented to contain the spread of the pandemic. Despite the recent reduction in the number of infections and deaths in Europe, it is still unclear to which extent these governmental actions have contained the spread of the disease and reduced mortality. In this article, we estimate the effects of reduced human mobility on excess mortality using digital mobility data at the regional level in England and Wales. Specifically, we employ the Google COVID-19 Community Mobility Reports, which offer an approximation to the changes in mobility due to different social distancing measures. Considering that changes in mobility would require some time before having an effect on mortality, we analyse the relationship between excess mortality and lagged indicators of human mobility. We find a negative association between excess mortality and time spent at home, as well as a positive association with changes in outdoor mobility, after controlling for the time trend of the pandemic and regional differences. We estimate that almost 130,000 excess deaths have been averted as a result of the increased time spent at home. In addition to addressing a key scientific question, our results have important policy implications for future pandemics and a potential second wave of COVID-19.

Following the outbreak of COVID-19, a number of non-pharmaceutical interventions have been implemented to contain the spread of the pandemic. Despite the recent reduction in the number of infections and deaths in Europe, it is still unclear to which extent these governmental actions have contained the spread of the disease and reduced mortality. In this article, we estimate the effects of reduced human mobility on excess mortality using digital mobility data at the regional level in England and Wales. Specifically, we employ the Google COVID-19 Community Mobility Reports, which offer an approximation to the changes in mobility due to different social distancing measures. Considering that changes in mobility would require some time before having an effect on mortality, we analyse the relationship between excess mortality and lagged indicators of human mobility. We find a negative association between excess mortality and time spent at home, as well as a positive association with changes in outdoor mobility, after controlling for the time trend of the pandemic and regional differences. We estimate that almost 130,000 excess deaths have been averted as a result of the increased time spent at home. In addition to addressing a key scientific question, our results have important policy implications for future pandemics and a potential second wave of COVID-19.

Following the outbreak of COVID-19, a number of non-pharmaceutical interventions have been implemented to contain the spread of the pandemic. Despite the recent reduction in the number of infections and deaths in Europe, it is still unclear to which extent these governmental actions have contained the spread of the disease and reduced mortality. In this article, we estimate the effects of reduced human mobility on excess mortality using digital mobility data at the regional level in England and Wales. Specifically, we employ the Google COVID-19 Community Mobility Reports, which offer an approximation to the changes in mobility due to different social distancing measures. Considering that changes in mobility would require some time before having an effect on mortality, we analyse the relationship between excess mortality and lagged indicators of human mobility. We find a negative association between excess mortality and time spent at home, as well as a positive association with changes in outdoor mobility, after controlling for the time trend of the pandemic and regional differences. We estimate that almost 130,000 excess deaths have been averted as a result of the increased time spent at home. In addition to addressing a key scientific question, our results have important policy implications for future pandemics and a potential second wave of COVID-19.

L'urgence que représente la compréhension de la pandémie de Covid-19 a entraîné des différences considérables entre les procédures de collecte des données des pays concernés, qui s'efforcent tous de produire des informations en temps réel mais qui restent des statistiques de mortalité imparfaites. Pour remédier à ce problème, l'analyse porte sur les décomptes de décès par Covid-19 provenant de la base de données « La démographie des décès par Covid-19 » ( https://dc-covid.site.ined.fr/fr/ ) ainsi que leurs limites. Cet article souligne des aspects importants touchant aux données qui limitent la possibilité de mener des comparaisons internationales. Pour pallier ces difficultés, les sources sont classées en fonction du caractère exhaustif de leurs données, puis les décomptes de décès sont analysés et comparés pour 16 pays. Bien comprendre les caractéristiques de la collecte des données est fondamental pour le traitement des statistiques imparfaites.