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Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives The articles examines the contribution of internal socioeconomic disparities in mortality to the U.S. international disadvantage in life expectancy at birth. Methods Using individual death records from the U.S. national vital statistics system for years 1982–2019 and data for other countries from the Human Mortality Database, we compare age-specific death rates and life expectancy between counties classified into 10 socioeconomic categories and 20 high-income countries. We also calculate the number of years of life lost in each socioeconomic decile in relation to the comparison set. Results There is a clear and increasing socioeconomic gradient of mortality in the United States, but the growing divergence in internal mortality trends does not explain the rising gap between the country and its peers. In 2019, even American women in the most socioeconomically advantaged decile lived shorter lives, while only 10% of men in the most affluent decile fared better than their peers. The long-standing U.S. disadvantage in young adult mortality has been growing and the country's previous advantage in mortality at ages 75 years and older has virtually disappeared for all but for Americans in the most affluent counties. Discussion The similar age pattern of differences in mortality rates between each socioeconomic deciles and the comparison group suggests that the underlying factors might be the same. The role of external causes (including drug overdoses) for middle-aged adults and a slowing down in progress to control cardiovascular diseases at older ages at the national level are consistent with this pattern. [ABSTRACT FROM AUTHOR]

Background: Preliminary studies have suggested a link between socio-economic characteristics and COVID-19 mortality. Such studies have been carried out on particular geographies within the USA or selective data that do not represent the complete experience for 2020.Methods: We estimated COVID-19 mortality rates, number of years of life lost to SARS-CoV-2 and reduction in life expectancy during each of the three pandemic waves in 2020 for 3144 US counties grouped into five socio-economic status categories, using daily death data from the Johns Hopkins University of Medicine and weekly mortality age structure from the Centers for Disease Control.Results: During March-May 2020, COVID-19 mortality was highest in the most socio-economically advantaged quintile of counties and lowest in the two most-disadvantaged quintiles. The pattern reversed during June-August and widened by September-December, such that COVID-19 mortality rates were 2.58 times higher in the bottom than in the top quintile of counties. Differences in the number of years of life lost followed a similar pattern, ultimately resulting in 1.002 (1.000, 1.004) million years in the middle quintile to 1.381 (1.378, 1.384) million years of life lost in the first (most-disadvantaged) quintile during the whole year.Conclusions: Diverging trajectories of COVID-19 mortality among the poor and affluent counties indicated a progressively higher rate of loss of life among socio-economically disadvantaged communities. Accounting for socio-economic disparities when allocating resources to control the spread of the infection and to reinforce local public health infrastructure would reduce inequities in the mortality burden of the disease. [ABSTRACT FROM AUTHOR]

National authorities publish COVID-19 death counts, which are extensively re-circulated and compared; but data are generally poorly sourced and documented. Academics and stakeholders need tools to assess data quality and to track data-related discrepancies for comparability over time or across countries. "The Demography of COVID-19 Deaths" database aims at bridging this gap. It provides COVID-19 death counts along with associated documentation, which includes the exact data sources and points out issues of quality and coverage of the data. The database — launched in April 2020 and continuously updated — contains daily cumulative death counts attributable to COVID-19 broken down by sex and age, place and date of occurrence of the death. Data and metadata undergo quality control checks prior to online release. As of mid-December 2021, it covers 21 countries in Europe and beyond. It is open access at a bilingual (English and French) website with content intended for expert users and non-specialists (https://dc-covid.site.ined.fr/en/; figshare: https://doi.org/10.6084/m9.figshare.c.5807027). Data and metadata are available for each country separately and pooled over all countries. Measurement(s) mortality Technology Type(s) digital curation Factor Type(s) Death counts Sample Characteristic - Organism Homo sapiens • Covid-19 deaths Sample Characteristic - Environment Country Sample Characteristic - Location Austria, Belgium, Canada, England and Wales, Denmark, France, Germany, Italy, Japan, the Netherlands, Norway, Portugal, the Republic of Korea, the Republic of Moldova, Romania, Scotland, Spain, Sweden, Switzerland, Ukraine, and the United States of America [ABSTRACT FROM AUTHOR]

Cause-specific mortality statistics are essential for understanding a population's health situation and for developing and evaluating public policies. Yet collecting these data is not straightforward, and their reliability is often questioned. Different approaches can be used to assess their quality. Using cause-of-death data from four countries of different sizes, histories, and mortality levels, the authors propose an original method for assessing the quality of these health statistics based on regional variations within a country's mortality structure. [ABSTRACT FROM AUTHOR]

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to short-term risk factors is based on estimating weekly excess deaths. This approach is more reliable than monitoring deaths with COVID-19 diagnosis or calculating incidence or fatality rates affected by numerous problems such as testing coverage and comparability of diagnostic approaches. In response to the emerging data challenges, a new data resource on weekly mortality has been established. The Short-term Mortality Fluctuations (STMF, available at www.mortality.org) data series is the first international database providing open-access harmonized, uniform, and fully documented data on weekly all-cause mortality. The STMF online vizualisation tool provides an opportunity to perform a quick assessment of the excess weekly mortality in one or several countries by means of an interactive graphical interface. Measurement(s) mortality Technology Type(s) digital curation Factor Type(s) temporal interval • age • country Sample Characteristic - Organism Homo sapiens • Severe acute respiratory syndrome-related coronavirus Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15135684 [ABSTRACT FROM AUTHOR]

BACKGROUND Vital statistics registration and census counts for Mexico may be incomplete, resulting in unreliable mortality indicators. OBJECTIVE We evaluate unadjusted mortality estimates for Mexico during 1990-2016 and compare them with other published estimates for Mexico and with the historical mortality patterns observed among the 41 Human Mortality Database (HMD) populations. Finally, we investigate the effect of various adjustments on estimated life expectancy. METHODS We apply the HMD methodology to the official vital statistics and census counts to construct unadjusted life table series for Mexico. Then we make adjustments by substituting revised estimates for child mortality and by fitting a log-quadratic model. RESULTS Adjusted estimates of mortality below age 5 derived by the UN Inter-agency Group for Child Mortality Estimation (IGME) are up to 48% higher than our unadjusted estimates. Even in 2015, the IGME-adjusted estimates of child mortality remain at least 10% higher than our unadjusted estimates. Our analysis suggests that there may also be underestimation of mortality at both prime adult ages and the oldest ages. The log-quadratic model produced the lowest estimates of life expectancy at birth (3.8-4.4 years lower than the unadjusted values in 1995). CONCLUSIONS Unadjusted estimates are likely to underestimate mortality in Mexico, even in recent years. Adjustments may improve the accuracy of the mortality estimates, but we cannot adjudicate which set of adjusted estimates is closest to reality. [ABSTRACT FROM AUTHOR]

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population & Sociétés is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: The USA ranks last in life expectancy among high-income countries. Since 2000, excess US mortality has been particularly concentrated in the working ages, which are also the ages hardest hit by the increase in drug deaths. This study measures the effect of drug-related mortality on the gap in life expectancy between the USA and other countries.Methods: Data from the Human Mortality Database and the World Health Organization were combined to construct age-standardized mortality rates for 2000-14 in 12 high-income countries and the USA for seven broad causes of death, including drug use. The contribution of each cause to the difference in life expectancy between the USA and the other 12 countries was estimated.Results: In 2014, the increase in drug-related deaths accounted for 10-15% of the US disadvantage in mortality, but with marked differences by age group. For working-age men, the increase in drug-related deaths accounted for up to 38% of the difference. Overall, American mortality is higher than the comparison countries across a wide range of causes.Conclusions: The severity of the drug epidemic appears to be specific to the USA, but it only partly contributes to the American shortfall in mortality. [ABSTRACT FROM AUTHOR]

BACKGROUND Mortality estimates from various sources suggest that Costa Ricans experience record-high life expectancy at birth in Latin America and higher longevity than the populations of many high-income countries, although there is some uncertainty as to the reliability of those estimates. OBJECTIVE We construct a life table series for Costa Rica to assess the quality of national demographic statistics for the period 1950-2013 and to determine whether reliable mortality estimates can be directly calculated from this data. METHODS We apply the methods from the Human Mortality Database (HMD) to national statistics to construct the Costa Rica life table series without adjusting for data quality. We also validate our results through internal consistency by evaluating the plausibility of the mortality patterns and its change over time and through external consistency by comparing our results with those from other sources. RESULTS Our mortality estimates for Costa Rica tend to be lower than others, especially for the period before 1970. They also produce a suspicious age pattern of mortality, with low adult and old-age mortality relative to the infant and child mortality, casting doubt on the quality of national demographic data. CONCLUSIONS Other organizations have produced mortality estimates for Costa Rica that are higher than our unadjusted estimates, but it is difficult to evaluate the accuracy of the available estimates. CONTRIBUTION This analysis provides a more thorough evaluation of data quality issues regarding Costa Rica mortality than previously available. Unadjusted life tables by sex for 1950-2013 are included as supplemental material, together with the raw data upon which those life tables are based and with links to the detailed methods protocol implemented. [ABSTRACT FROM AUTHOR]

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Reliable subnational mortality estimates are essential in the study of health inequalities within a country. One of the difficulties in producing such estimates is the presence of small populations among which the stochastic variation in death counts is relatively high, and thus the underlying mortality levels are unclear. We present a Bayesian hierarchical model to estimate mortality at the subnational level. The model builds on characteristic age patterns in mortality curves, which are constructed using principal components from a set of reference mortality curves. Information on mortality rates are pooled across geographic space and are smoothed over time. Testing of the model shows reasonable estimates and uncertainty levels when it is applied both to simulated data that mimic U.S. counties and to real data for French départements. The model estimates have direct applications to the study of subregional health patterns and disparities. [ABSTRACT FROM AUTHOR]

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We investigate a major turning point in mortality trends at adult ages that occurred for many low-mortality countries in the late 1960s or early 1970s. We analyze patterns of total and cause-specific mortality over the past 60 years using data from the Human Mortality Database and the World Health Organization. We focus on four broad categories of causes of death: heart diseases, cerebrovascular diseases, smoking-related cancers, and all other cancers. We use a two-slope regression model to assess the timing and magnitude of turning points in mortality trends over this era, making separate analyses by sex, age, and cause of death. The age pattern of temporal changes is given particular attention. Our results demonstrate convincingly that period-based factors were very significant in the onset of the 'cardiovascular revolution' in the years around 1970. In general, although cohort processes cannot be ruled out as a driver of mortality change in recent decades (especially for mortality due to smoking-related cancers), the evidence reviewed here suggests that period factors have been the dominant force behind the mortality trends of high-income countries during this era. [ABSTRACT FROM AUTHOR]

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (1634-2941) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Population (00324663) is the property of Institut National d'Etudes Demographiques and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)