Marília R Nepomuceno
Biographic Data
| ID | 312366 |
|---|---|
| NAME | Marília R Nepomuceno |
| GIVEN NAMES | Marília R |
| FAMILY NAME | Nepomuceno |
| SIGNATURE | NEPOMUCENO M R |
| AFFILIATIONS | Max Planck Institute for Demographic Research |
| ORCID | 0000-0002-5687-5776 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 40 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
The Emergence of an Urban Mortality Advantage in Brazil
Brazil has historically seen higher mortality among urban residents compared to rural counterparts, despite better self-reported health among urban residents and better access to healthcare services. However, recent trends in these urban-rural mortality differentials and the specific causes of death contributing to them have not been well documented. We address this gap by analyzing trends in adult life expectancy in Brazil's five macro-regions f…
Seasonal Mortality and its Impact on Spatial Inequality in Life Expectancy Across Italy
Seasonal mortality fluctuations significantly affect national life expectancy, yet their role in regional inequalities remains underexplored. Understanding this is crucial for targeted health policies aimed at reducing spatial mortality differences. We quantify the impact of seasonal excess mortality on regional life expectancy levels (e 0 ) and inequalities in Italy. Using monthly mortality data from the Italian National Statistical Institute by…
Seasonality in mortality and its impact on life expectancy levels and trends across Europe
Background Seasonal fluctuations in mortality affect annual life expectancy at birth (e 0 ). Nevertheless, evidence on the impact of seasonal mortality on longevity is very limited and mainly restricted to assessing season-specific mortality levels due to shocks (e.g., heatwaves and influenza epidemics). We investigated the influence of seasonality in mortality on life expectancy levels and temporal trends across 20 European countries during 2000…
Response to Carl Schmertmann Commentary—Drawing Cohort Profiles From Period Data
Commentary: Commentary on van Raalte et al.’s “The Dangers of Drawing Cohort Profiles From Period Data: A Research Note”, https://read.dukeupress.edu/demography/article/61/4/967/390018/Commentary-on-van-Raalte-et-al-s-The-Dangers-of
The Dangers of Drawing Cohort Profiles From Period Data
Drawing cohort profiles and cohort forecasts from grids of age–period data is common practice in demography. In this research note, we (1) show how demographic measures artificially fluctuate when calculated from the diagonals of age–period rates because of timing and cohort-size bias, (2) estimate the magnitude of these biases, and (3) illustrate how prediction intervals for cohort indicators of mortality may become implausible when drawn from L…
Diferenciais regionais da mortalidade no Brasil
O Brasil é um país marcado por forte desigualdade socioeconômica entre as regiões, que, por sua vez, se traduz em diferenciais regionais de mortalidade. Para um bom monitoramento desses diferenciais, é importante uma análise não apenas dos níveis médios de mortalidade, mas também da variação da idade à morte na população. Esse artigo analisa a contribuição das causas de óbito sobre as mudanças na esperança de vida e na dispersão da idade à morte …
Age reporting for the oldest old in the Brazilian Covid-19 vaccination database
Age misreporting affects population estimates at older ages. In Brazil, every citizen must be registered and show an identity document to vaccinate against COVID-19. This requirement to present proof of age provides a unique opportunity for measuring the o
What should be the baseline when calculating excess mortality? New approaches suggest that we have underestimated the impact of the Covid-19 pandemic and previous winter peaks
Excess mortality has been used to measure the impact of COVID-19 over time and across countries. But what baseline should be chosen? We propose two novel approaches: an alternative retrospective baseline derived from the lowest weekly death rates achieved in previous years and a within-year baseline based on the average of the 13 lowest weekly death rates within the same year. These baselines express normative levels of the lowest feasible target…
The Cross-sectional Average Inequality in Lifespan (CAL†)
Lifespan variation is a key metric of mortality that describes both individual uncertainty about the length of life and heterogeneity in population health. We propose a novel and timely lifespan variation measure, which we call the cross-sectional average inequality in lifespan, or CAL†. This new index provides an alternative perspective on the analysis of lifespan inequality by combining the mortality histories of all cohorts present in a cross-…
Sensitivity Analysis of Excess Mortality due to the Covid-19 Pandemic
Estimating excess mortality is challenging. The metric depends on the expected mortality level, which can differ based on given choices, such as the method and the time series length used to estimate the baseline. However, these choices are often arbitrary, and are not subject to any sensitivity analysis. We bring to light the importance of carefully choosing the inputs and methods used to estimate excess mortality. Drawing on data from 26 countr…
The Population of Centenarians in Brazil
Since the nineteenth century, the census has provided the number of 100-year-olds in Brazil, one of the most populous countries worldwide. In 1900, 4,438 individuals reported themselves to be centenarians, a figure that increased about fivefold by the 2000 census. However, due to data quality issues, we are skeptical about the real size of the recorded population in the Brazilian census. We offer alternative estimates of the most likely number of…
A contribuição da demografia para os estudos de mortalidade em tempos de pandemia
Assessing the quality of education reporting in Brazilian censuses
In developing countries, improving access to schooling has been and remains a priority. At the same time, a growing body of research relates education to demographic variables. It is therefore essential to measure the educational variable accurately. In Br
Comparaison de survie de cohortes entre les pays d'Europe centrale et orientale et les pays à longévité élevée
Malgré les progrès récents et notables de la survie en Europe centrale et orientale, cette région reste loin derrière les populations des pays les plus développés. En se plaçant dans une perspective de cohorte pour étudier l'écart de mortalité entre les pays d'Europe centrale et orientale et un groupe de pays dont la longévité actuelle est élevée, cet article montre comment la survie des cohortes contribue au différentiel de mortalité global. La …
Trends in healthy life expectancy among older Brazilian women between 1998 and 2008
OBJECTIVE To analyze conditional and unconditional healthy life expectancy among older Brazilian women.METHODS This cross-sectional study used the intercensal technique to estimate, in the absence of longitudinal data, healthy life expectancy that is conditional and unconditional on the individual’s current health status. The data used were obtained from the Pesquisa Nacional por Amostra de Domicílios (National Household Sample Survey) of 1998, 2…
O Corpo Na Dança
In this study, we aimed at understanding how the Cultural Industry affects the dance of frequenters (persons who usually go a place to dance) in informal spaces at Goiânia city (State of Goiás, Brazil). Such informal spaces are the place where some persons met to dance and for leisure. A qualitative study was performed including semi-structured questionnaires and observations recorded by using notes and focusing on answering the question: How doe…
Sensitivity Analysis of Excess Mortality due to the Covid-19 Pandemic
Estimating excess mortality is challenging. The metric depends on the expected mortality level, which can differ based on given choices, such as the method and the time series length used to estimate the baseline. However, these choices are often arbitrary, and are not subject to any sensitivity analysis. We bring to light the importance of carefully choosing the inputs and methods used to estimate excess mortality. Drawing on data from 26 countr…
The Cross-sectional Average Inequality in Lifespan (CAL†)
Lifespan variation is a key metric of mortality that describes both individual uncertainty about the length of life and heterogeneity in population health. We propose a novel and timely lifespan variation measure, which we call the cross-sectional average inequality in lifespan, or CAL†. This new index provides an alternative perspective on the analysis of lifespan inequality by combining the mortality histories of all cohorts present in a cross-…
The Population of Centenarians in Brazil
Since the nineteenth century, the census has provided the number of 100-year-olds in Brazil, one of the most populous countries worldwide. In 1900, 4,438 individuals reported themselves to be centenarians, a figure that increased about fivefold by the 2000 census. However, due to data quality issues, we are skeptical about the real size of the recorded population in the Brazilian census. We offer alternative estimates of the most likely number of…
The Dangers of Drawing Cohort Profiles From Period Data
Drawing cohort profiles and cohort forecasts from grids of age–period data is common practice in demography. In this research note, we (1) show how demographic measures artificially fluctuate when calculated from the diagonals of age–period rates because of timing and cohort-size bias, (2) estimate the magnitude of these biases, and (3) illustrate how prediction intervals for cohort indicators of mortality may become implausible when drawn from L…
Seasonality in mortality and its impact on life expectancy levels and trends across Europe
Background Seasonal fluctuations in mortality affect annual life expectancy at birth (e 0 ). Nevertheless, evidence on the impact of seasonal mortality on longevity is very limited and mainly restricted to assessing season-specific mortality levels due to shocks (e.g., heatwaves and influenza epidemics). We investigated the influence of seasonality in mortality on life expectancy levels and temporal trends across 20 European countries during 2000…
Diferenciais regionais da mortalidade no Brasil
O Brasil é um país marcado por forte desigualdade socioeconômica entre as regiões, que, por sua vez, se traduz em diferenciais regionais de mortalidade. Para um bom monitoramento desses diferenciais, é importante uma análise não apenas dos níveis médios de mortalidade, mas também da variação da idade à morte na população. Esse artigo analisa a contribuição das causas de óbito sobre as mudanças na esperança de vida e na dispersão da idade à morte …
Response to Carl Schmertmann Commentary—Drawing Cohort Profiles From Period Data
Commentary: Commentary on van Raalte et al.’s “The Dangers of Drawing Cohort Profiles From Period Data: A Research Note”, https://read.dukeupress.edu/demography/article/61/4/967/390018/Commentary-on-van-Raalte-et-al-s-The-Dangers-of
Age reporting for the oldest old in the Brazilian Covid-19 vaccination database
Age misreporting affects population estimates at older ages. In Brazil, every citizen must be registered and show an identity document to vaccinate against COVID-19. This requirement to present proof of age provides a unique opportunity for measuring the o
Assessing the quality of education reporting in Brazilian censuses
In developing countries, improving access to schooling has been and remains a priority. At the same time, a growing body of research relates education to demographic variables. It is therefore essential to measure the educational variable accurately. In Br
Comparaison de survie de cohortes entre les pays d'Europe centrale et orientale et les pays à longévité élevée
Malgré les progrès récents et notables de la survie en Europe centrale et orientale, cette région reste loin derrière les populations des pays les plus développés. En se plaçant dans une perspective de cohorte pour étudier l'écart de mortalité entre les pays d'Europe centrale et orientale et un groupe de pays dont la longévité actuelle est élevée, cet article montre comment la survie des cohortes contribue au différentiel de mortalité global. La …
O Corpo Na Dança
In this study, we aimed at understanding how the Cultural Industry affects the dance of frequenters (persons who usually go a place to dance) in informal spaces at Goiânia city (State of Goiás, Brazil). Such informal spaces are the place where some persons met to dance and for leisure. A qualitative study was performed including semi-structured questionnaires and observations recorded by using notes and focusing on answering the question: How doe…
Trends in healthy life expectancy among older Brazilian women between 1998 and 2008
OBJECTIVE To analyze conditional and unconditional healthy life expectancy among older Brazilian women.METHODS This cross-sectional study used the intercensal technique to estimate, in the absence of longitudinal data, healthy life expectancy that is conditional and unconditional on the individual’s current health status. The data used were obtained from the Pesquisa Nacional por Amostra de Domicílios (National Household Sample Survey) of 1998, 2…
Comparaison de survie de cohortes entre les pays d'Europe centrale et orientale et les pays à longévité élevée
Malgré les progrès récents et notables de la survie en Europe centrale et orientale, cette région reste loin derrière les populations des pays les plus développés. En se plaçant dans une perspective de cohorte pour étudier l'écart de mortalité entre les pays d'Europe centrale et orientale et un groupe de pays dont la longévité actuelle est élevée, cet article montre comment la survie des cohortes contribue au différentiel de mortalité global. La …
The Population of Centenarians in Brazil
Since the nineteenth century, the census has provided the number of 100-year-olds in Brazil, one of the most populous countries worldwide. In 1900, 4,438 individuals reported themselves to be centenarians, a figure that increased about fivefold by the 2000 census. However, due to data quality issues, we are skeptical about the real size of the recorded population in the Brazilian census. We offer alternative estimates of the most likely number of…
A contribuição da demografia para os estudos de mortalidade em tempos de pandemia
Assessing the quality of education reporting in Brazilian censuses
In developing countries, improving access to schooling has been and remains a priority. At the same time, a growing body of research relates education to demographic variables. It is therefore essential to measure the educational variable accurately. In Br
What should be the baseline when calculating excess mortality? New approaches suggest that we have underestimated the impact of the Covid-19 pandemic and previous winter peaks
Excess mortality has been used to measure the impact of COVID-19 over time and across countries. But what baseline should be chosen? We propose two novel approaches: an alternative retrospective baseline derived from the lowest weekly death rates achieved in previous years and a within-year baseline based on the average of the 13 lowest weekly death rates within the same year. These baselines express normative levels of the lowest feasible target…
The Cross-sectional Average Inequality in Lifespan (CAL†)
Lifespan variation is a key metric of mortality that describes both individual uncertainty about the length of life and heterogeneity in population health. We propose a novel and timely lifespan variation measure, which we call the cross-sectional average inequality in lifespan, or CAL†. This new index provides an alternative perspective on the analysis of lifespan inequality by combining the mortality histories of all cohorts present in a cross-…
Sensitivity Analysis of Excess Mortality due to the Covid-19 Pandemic
Estimating excess mortality is challenging. The metric depends on the expected mortality level, which can differ based on given choices, such as the method and the time series length used to estimate the baseline. However, these choices are often arbitrary, and are not subject to any sensitivity analysis. We bring to light the importance of carefully choosing the inputs and methods used to estimate excess mortality. Drawing on data from 26 countr…
The Dangers of Drawing Cohort Profiles From Period Data
Drawing cohort profiles and cohort forecasts from grids of age–period data is common practice in demography. In this research note, we (1) show how demographic measures artificially fluctuate when calculated from the diagonals of age–period rates because of timing and cohort-size bias, (2) estimate the magnitude of these biases, and (3) illustrate how prediction intervals for cohort indicators of mortality may become implausible when drawn from L…
Diferenciais regionais da mortalidade no Brasil
O Brasil é um país marcado por forte desigualdade socioeconômica entre as regiões, que, por sua vez, se traduz em diferenciais regionais de mortalidade. Para um bom monitoramento desses diferenciais, é importante uma análise não apenas dos níveis médios de mortalidade, mas também da variação da idade à morte na população. Esse artigo analisa a contribuição das causas de óbito sobre as mudanças na esperança de vida e na dispersão da idade à morte …
Age reporting for the oldest old in the Brazilian Covid-19 vaccination database
Age misreporting affects population estimates at older ages. In Brazil, every citizen must be registered and show an identity document to vaccinate against COVID-19. This requirement to present proof of age provides a unique opportunity for measuring the o
Response to Carl Schmertmann Commentary—Drawing Cohort Profiles From Period Data
Commentary: Commentary on van Raalte et al.’s “The Dangers of Drawing Cohort Profiles From Period Data: A Research Note”, https://read.dukeupress.edu/demography/article/61/4/967/390018/Commentary-on-van-Raalte-et-al-s-The-Dangers-of
Seasonal Mortality and its Impact on Spatial Inequality in Life Expectancy Across Italy
Seasonal mortality fluctuations significantly affect national life expectancy, yet their role in regional inequalities remains underexplored. Understanding this is crucial for targeted health policies aimed at reducing spatial mortality differences. We quantify the impact of seasonal excess mortality on regional life expectancy levels (e 0 ) and inequalities in Italy. Using monthly mortality data from the Italian National Statistical Institute by…
Seasonality in mortality and its impact on life expectancy levels and trends across Europe
Background Seasonal fluctuations in mortality affect annual life expectancy at birth (e 0 ). Nevertheless, evidence on the impact of seasonal mortality on longevity is very limited and mainly restricted to assessing season-specific mortality levels due to shocks (e.g., heatwaves and influenza epidemics). We investigated the influence of seasonality in mortality on life expectancy levels and temporal trends across 20 European countries during 2000…
The Emergence of an Urban Mortality Advantage in Brazil
Brazil has historically seen higher mortality among urban residents compared to rural counterparts, despite better self-reported health among urban residents and better access to healthcare services. However, recent trends in these urban-rural mortality differentials and the specific causes of death contributing to them have not been well documented. We address this gap by analyzing trends in adult life expectancy in Brazil's five macro-regions f…
Demography (10 works) · Global Health Care Issues (9 works) · Insurance, Mortality, Demography, Risk Management (9 works) · Sociology (8 works) · Health disparities and outcomes (7 works) · Medicine (7 works) · Demography (6 works) · Geography (5 works) · Climate Change and Health Impacts (4 works) · Life expectancy (4 works)