scholarly journals A new model for estimating district life expectancy at birth in India, with special reference to Assam state

2014 ◽  
Vol 41 (1-2) ◽  
pp. 180
Author(s):  
Rajan Sarma ◽  
Labananda Choudhury
Keyword(s):  
Life Expectancy ◽  
South Asian ◽  
Census Data ◽  
Life Tables ◽  
Important Indicator ◽  
Registration System ◽  
Life Expectancy At Birth ◽  
Sample Registration System ◽  
Using Data ◽  
The Relationship

Life expectancy at birth (e0) is considered as an important indicator of the mortality level of a population. In India, direct estimation of e0 is not possible due to incomplete death registration. The Sample Registration System (SRS) of India provides information on e0 only for the 16 major states. Estimates of e0 for the districts are not available. Using data from the Coale-Demeny West model life tables, United Nations South Asian model life tables, and SRS life tables of India and its major states, the paper shows that the relationship between life expectancy at age one (e0) and the probability of surviving to age one (l1) is linear, and the relationship between e0 and l1 is quadratic. From the quadratic relationship between e0 and l1, an attempt is made to estimate e0 for some selected districts of India for 2001 and 2010, using estimated l1 from 2001 census data and Annual Health Survey (2010–11) data.

scholarly journals Life Expectancy in Germany Based on the 2011 Census: Was the Healthy Migrant Effect Merely an Artefact?

2016 ◽  
Vol 41 (2) ◽  
Author(s):  
Felix Zur Nieden ◽  
Bettina Sommer
Keyword(s):  
Life Expectancy ◽  
Life Table ◽  
Census Data ◽  
Population Data ◽  
Life Tables ◽  
German Population ◽  
Healthy Migrant Effect ◽  
Foreign Population ◽  
Life Expectancy At Birth ◽  
Do So

The Federal Statistical Office’s 2010/12 general life table is the first to provide results on life expectancy based on census data for reunified Germany. This article therefore examines the question of how the revisions of the population figures from the 2011 census affected the measured life expectancy. To do so, we analysed both the official life tables based on the old intercensal population updates before the census and those based on the population data from the 2011 census. The method used to calculate the census-adjusted 2010/12 general life table was also transferred to separate life tables drawn up for the German and the foreign population. In this way, findings on the so-called “healthy migrant effect” can be discussed, ruling out possible errors in the intercensal population updates. These errors had previously been cited as the main causes for a distinctly longer life expectancy among the foreign population compared with the German population. As expected, a census-based calculation for the total population and for the German population resulted in only minor revisions to the life expectancy figures. The use of the census results does, however, distinctly alter the life expectancy of foreign women and men. An advantage of over 5 years in life expectancy at birth, measured on the basis of the old population data, needs to be revised to about 2.9 years for men and 2.1 years for women based on the 2011 census. The healthy migrant effect therefore cannot be traced back solely to data artefacts from the old intercensal population updates – even with revised data, the foreign population shows marked survival advantages.

Analysis of Mortality Data due to Infectious Diseases: Life Table Methods Complementary to Direct Rates

1988 ◽  
Vol 27 (03) ◽  
pp. 137-141
Author(s):  
M. A. A. Moussa ◽  
M. M. Khogali ◽  
T. N. Sugathan
Keyword(s):  
Life Expectancy ◽  
Infectious Diseases ◽  
Life Table ◽  
Census Data ◽  
Total Mortality ◽  
Life Tables ◽  
Mortality Data ◽  
Men And Women ◽  
Male And Female ◽  
Life Expectancy At Birth

SummaryLife table methods are employed complementary to standard rates to analyse Kuwaiti mortality data due to infectious diseases. The procedure comprises total mortality, multiple-decrement, cause—elimination and cause—delay life tables. To improve reliability of estimated age-specific death rates, the numerator was based on the three-year average of deaths (1981-83), while the denominator was the mid 1982 population projected from the 1980 and 1985 population censuses. To overcome the difficulty of age heaping, both mortality and census data were graduated using the natural cubic spline approach. Proportional mortality was maximum in intestinal infectious diseases particularly in the rural Jahra Governorate. Infectious diseases caused 29.4 and 37.1% of male and female deaths respectively in infancy and early childhood. The male and female life expectancy at birth were 67 and 72 years, respectively.The multiple-decrement life tables showed that 3,346 men and 2,986 women out of the birth cohort (100,000) will ultimately die from infectious diseases. The average number of years lost due to infectious diseases were 0.75 years in both men and women. Relating this loss to the affected (saved) subpopulation only, large gains in life expectancy occur (22.3 and 25.2 years in men and women respectively).

scholarly journals Relationship between Changes over Time in Factors, Including the Impact of Meteorology on Photochemical Oxidant Concentration and Causative Atmospheric Pollutants in Kawasaki

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 446
Author(s):  
Akinori Fukunaga ◽  
Takaharu Sato ◽  
Kazuki Fujita ◽  
Daisuke Yamada ◽  
Shinya Ishida ◽  
...  
Keyword(s):  
Moving Average ◽  
Atmospheric Pollutants ◽  
Important Indicator ◽  
Photochemical Oxidant ◽  
Oxidant Concentration ◽  
Using Data ◽  
Changes Over Time ◽  
The Impact ◽  
The Relationship ◽  
The City

To clarify the relationship between changes in photochemical oxidants’ (Ox) concentrations and their precursors in Kawasaki, a series of analyses were conducted using data on Ox, their precursors, nitrogen oxides (NOx) and volatile organic compounds (VOCs), and meteorology that had been monitored throughout the city of Kawasaki for 30 years from 1990 to 2019. The trend in air temperature was upward, wind speed was downward, and solar radiation was upward, indicating an increasing trend in meteorological factors in which Ox concentrations tend to be higher. Between 1990 and 2013, the annual average Ox increased throughout Kawasaki and remained flat after that. The three-year moving average of the daily peak increased until 2015, and after that, it exhibited a slight decline. The amount of generated Ox is another important indicator. To evaluate this, a new indicator, the daytime production of photochemical oxidant (DPOx), was proposed. DPOx is defined by daytime averaged Ox concentrations less the previous day’s nighttime averaged Ox concentrations. The trend in DPOx from April to October has been decreasing since around 2006, and it was found that this indicator reflects the impact of reducing emissions of NOx and VOCs in Kawasaki.

scholarly journals Caste, religion and regional differentials in life expectancy at birth in India: cross-sectional estimates from recent National Family Health Survey

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e035392
Author(s):  
Meena Kumari ◽  
Sanjay K Mohanty
Keyword(s):  
Life Expectancy ◽  
Health Survey ◽  
Family Health ◽  
Premature Mortality ◽  
Adult Mortality ◽  
National Family Health Survey ◽  
Cross Sectional ◽  
Registration System ◽  
Life Expectancy At Birth ◽  
National Family

ObjectiveThough estimates of longevity are available by states, age, sex and place of residence in India, disaggregated estimates by social and economic groups are limited. This study estimates the life expectancy at birth and premature mortality by caste, religion and regions of India.DesignThis study primarily used cross-sectional data from the National Family Health Survey (NFHS-4), 2015–2016 and the Sample Registration System (SRS), 2011–2015. The NFHS-4 is the largest ever demographic and health survey covering 601 509 households and 811 808 individuals across all states and union territories in India.MeasuresThe abridged life table is constructed to estimate the life expectancy at birth, adult mortality (45q15) and premature mortality (70q0) by caste, religion and region.ResultsLife expectancy at birth was estimated at 63.1 years (95% CI 62.60 -63.64) for scheduled castes (SC), 64.0 years (95% CI 63.25 - 64.88) for scheduled tribes (ST), 65.1 years (95% CI 64.69 - 65.42) for other backward classes (OBC) and 68.0 years (95% CI 67.44 - 68.45) for others. The life expectancy at birth was higher among o Christians 68.1 years (95% CI 66.44 - 69.60) than Muslims 66.0 years (95% CI 65.29 - 66.54) and Hindus 65.0 years (95% CI 64.74 -65.22). Life expectancy at birth was higher among females than among males across social groups in India. Premature mortality was higher among SC (0.382), followed by ST (0.381), OBC (0.344) and others (0.301). The regional variation in life expectancy by age and sex is large.ConclusionIn India, social and religious differentials in life expectancy by sex are modest and need to be investigated among poor and rich within these groups. Premature mortality and adult mortality are also high across social and religious groups.

Globalization and women’s and girls’ health in 192 UN-member countries

2016 ◽  
Vol 43 (7) ◽  
pp. 692-721 ◽  
Author(s):  
Deniz Gevrek ◽  
Karen Middleton
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Health Outcomes ◽  
Fixed Effects ◽  
Content Type ◽  
Life Expectancy At Birth ◽  
Adolescent Fertility ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to explore the relationship between the ratification of the United Nations’ (UN’s) Convention on the Elimination of All Forms of Discrimination against Women (CEDAW) and women’s and girls’ health outcomes using a unique longitudinal data set of 192 UN-member countries that encompasses the years from 1980 to 2011. Design/methodology/approach – The authors focus on the impact of CEDAW ratification, number of reports submitted after ratification, years passed since ratification, and the dynamic impact of CEDAW ratification by utilizing ordinary least squares (OLS) and panel fixed effects methods. The study investigates the following women’s and girls’ health outcomes: total fertility rate, adolescent fertility rate, infant mortality rate, maternal mortality ratio, neonatal mortality rate, female life expectancy at birth (FLEB), and female to male life expectancy at birth. Findings – The OLS and panel country and year fixed effects models provide evidence that the impact of CEDAW ratification on women’s and girls’ health outcomes varies by global regions. While the authors find no significant gains in health outcomes in European and North-American countries, the countries in the Northern Africa, sub-Saharan Africa, Southern Africa, Caribbean and Central America, South America, Middle-East, Eastern Asia, and Oceania regions experienced the biggest gains from CEDAW ratification, exhibiting reductions in total fertility, adolescent fertility, infant mortality, maternal mortality, and neonatal mortality while also showing improvements in FLEB. The results provide evidence that both early commitment to CEDAW as measured by the total number of years of engagement after the UN’s 1980 ratification and the timely submission of mandatory CEDAW reports have positive impacts on women’ and girls’ health outcomes. Several sensitivity tests confirm the robustness of main findings. Originality/value – This study is the first comprehensive attempt to explore the multifaceted relationships between CEDAW ratification and female health outcomes. The study significantly expands on the methods of earlier research and presents novel methods and findings on the relationship between CEDAW ratification and women’s health outcomes. The findings suggest that the impact of CEDAW ratification significantly depends on the country’s region. Furthermore, stronger engagement with CEDAW (as indicated by the total number of years following country ratification) and the submission of the required CEDAW reports (as outlined in the Convention’s guidelines) have positive impacts on women’s and girls’ health outcomes.

scholarly journals Assessing mortality registration in Kerala: the MARANAM study

Genus ◽  
2022 ◽  
Vol 78 (1) ◽  
Author(s):  
Aashish Gupta ◽  
Sneha Sarah Mani
Keyword(s):  
Vital Statistics ◽  
Middle Income ◽  
Registration System ◽  
Individual Level ◽  
Civil Registration ◽  
Middle Income Countries ◽  
Registration Data ◽  
Life Expectancy At Birth ◽  
Sample Registration System ◽  
Low And Middle Income

AbstractComplete or improving civil registration systems in sub-national areas in low- and middle-income countries provide several opportunities to better understand population health and its determinants. In this article, we provide an assessment of vital statistics in Kerala, India. Kerala is home to more than 33 million people and is a comparatively low-mortality context. We use individual-level vital registration data on more than 2.8 million deaths between 2006 and 2017 from the Kerala MARANAM (Mortality and Registration Assessment and Monitoring) Study. Comparing age-specific mortality rates from the Civil Registration System (CRS) to those from the Sample Registration System (SRS), we do not find evidence that the CRS underestimates mortality. Instead, CRS rates are smoother across ages and less variable across periods. In particular, the CRS records higher death rates than the SRS for ages, where mortality is usually low and for women. Using these data, we provide the first set of annual sex-specific life tables for any state in India. We find that life expectancy at birth was 77.9 years for women in 2017 and 71.4 years for men. Although Kerala is unique in many ways, our findings strengthen the case for more careful attention to mortality records within low- and middle-income countries, and for their better dissemination by government agencies.

scholarly journals Impact of the COVID-19 pandemic on life expectancy in Madrid (Spain)

2020 ◽  
Author(s):  
Sergi Trias-Llimós ◽  
Usama Bilal
Keyword(s):  
Life Expectancy ◽  
Surveillance System ◽  
Excess Mortality ◽  
Daily Mortality ◽  
Life Expectancy At Birth ◽  
The World ◽  
Using Data ◽  
The Impact ◽  
Mortality Surveillance ◽  
Annual Mortality

The COVID-19 pandemic is causing substantial increases in mortality across populations, potentially causing stagnation or decline in life expectancy. We explored this idea by examining the impact of excess mortality linked to the COVID-19 crisis on life expectancy in the region of Madrid (Spain). Using data from the Daily Mortality Surveillance System (MoMo), we calculated excess mortality (death counts) for the weeks 10th to 14th in 2020 using data on expected and observed mortality, assuming no further excess mortality during the rest of the year. The expected annual mortality variation was +6%, +21% and +25% among men aged under 65, between 65 and 74 and over 75, respectively, and +5%, +13%, and 18% for women, respectively. This excess mortality during weeks 10th to 14th resulted in a life expectancy at birth decline of 1.6 years among men and 1.1 years among women. These estimates confirm that Madrid and other severely hit regions in the world may face substantial life expectancy declines.

scholarly journals The Linear Link: Deriving Age-Specific Death Rates from Life Expectancy

Risks ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 109
Author(s):  
Marius Pascariu ◽  
Ugofilippo Basellini ◽  
José Aburto ◽  
Vladimir Canudas-Romo
Keyword(s):  
Life Expectancy ◽  
R Package ◽  
Value Of Life ◽  
Life Tables ◽  
Human Longevity ◽  
Death Rates ◽  
New Model ◽  
Life Expectancy At Birth ◽  
Age Patterns ◽  
Full Life

The prediction of human longevity levels in the future by direct forecasting of life expectancy offers numerous advantages, compared to methods based on extrapolation of age-specific death rates. However, the reconstruction of accurate life tables starting from a given level of life expectancy at birth, or any other age, is not straightforward. Model life tables have been extensively used for estimating age patterns of mortality in poor-data countries. We propose a new model inspired by indirect estimation techniques applied in demography, which can be used to estimate full life tables at any point in time, based on a given value of life expectancy at birth. Our model relies on the existing high correlations between levels of life expectancy and death rates across ages. The methods presented in this paper are implemented in a publicly available R package.

PROBLEMS OF ASSESSING THE HEALTH CARE COSTS EFFECTIVENESS

2017 ◽  
Vol 11 (6) ◽  
pp. 137-151 ◽  
Author(s):  
Людмила Горшкова ◽  
Lyudmila Gorshkova
Keyword(s):  
Health Care ◽  
Life Expectancy ◽  
Health Care Costs ◽  
Public Expenditure ◽  
Health Care Expenditure ◽  
Important Indicator ◽  
Life Expectancy At Birth ◽  
Logarithmic Curve ◽  
The Cost ◽  
Care Costs

Assessing the effectiveness of health care expenditure is a major economic task. The most important indicator to assess the effectiveness of health care costs is the expected life expectancy (ELE). Infant mortality is also closely related to DLE. The article substantiates the logarithmic model of the dependence of ELE from health care expenditure (per person for a particular year). Each country is represented by a point on the coordinate plane with an ordinate equal to the ELE in this country and an abscissa equal to the health care expenditure in it. The modeling logarithmic curve is taken as the theoret-ical threshold of the cost-effectiveness: the higher the curve is the point repre-senting the country, the more effective the health care costs in this country, and the lower the threshold curve, the costs are more unprofitable. It is shown that the dependence of ELE from GDP (or GRP by regions of Russia) is not so obvious: although there is a tendency to such a dependence, but with a large number of drop-out values. Despite the achievement of the highest average expected life expectancy in Russia in the country's history, it is significantly lower than in developed countries. The main causes of low expected life expectancy at birth are unsatisfactory health indicators, and as a result, high incidence and disability. Traumatism on the roads and suicides are one of the significant reasons for the low expected life expectancy in Russia and are significantly higher than similar indicators in other countries. The article shows the close correlation between the cost of health care per person and expected life expectancy. However, in the Russian Federation, the share of public expenditure in the structure of aggregate health expenditure is decreasing. Social insurance funds are more than half of the health care public expenditure. The author reveals considerable regional differences in health spending per person and average expected life expectancy. The article highlights the insufficient level of health care costs in Russia as a whole and in regions.

Bureaucratic Response to Citizen-Initiated Contacts: Environmental Enforcement in Detroit

1977 ◽  
Vol 71 (1) ◽  
pp. 148-165 ◽  
Author(s):  
Bryan D. Jones ◽  
Saadia R. Greenberg ◽  
Clifford Kaufman ◽  
Joseph Drew
Keyword(s):  
Census Data ◽  
Well Being ◽  
Social Characteristics ◽  
Service Agency ◽  
Environmental Enforcement ◽  
Bureaucratic Response ◽  
Using Data ◽  
The Relationship ◽  
Service Need

When citizens contact local government agencies, they generally attempt to influence service delivery decisions made by these bureaucracies. This paper examines the nature of citizen contacts, and the results of such contacts, with respect to the enforcement of environmental ordinances in Detroit, Michigan. We first examine the mechanisms responsible for the generation of citizen contacts. Assuming relations among citizen awareness, service need, and social well-being, we derive a downward-opening parabola as appropriate for describing the relationship between social well-being and propensity to contact a service agency. Using data on citizen contacts from City of Detroit agencies merged with census data, we find the expected relationship in evidence. We find that the Environmental Enforcement Division generally responds to citizen contacts, but the quality of the response varies with social characteristics of neighborhoods.

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