scholarly journals On Dynamics of Gender-Specific Mortality Among the Population of the Republic of Belarus in the Second Half of the XX – the Beginning of the XXI Centuries

2017 ◽  
Vol 24 (3) ◽  
Author(s):  
A Romanova ◽  
O Krasko
Keyword(s):  
Mortality Rate ◽  
Environmental Changes ◽  
Research Work ◽  
Mortality Rates ◽  
Female Mortality ◽  
Female Population ◽  
Male And Female ◽  
Crude Mortality ◽  
The Republic ◽  
Population Mortality

Aim of the study: to evaluate the dynamics and to make a comparative analysis of male and female mortality among the population of Belarus Republic during 1959 – 2015.Materials and methods. The data on natural population movement in the Republic of Belarus during 1959 – 2015 have been analyzed in the research work. Crude and standardized mortality rates have been calculated using the direct standardization according to the world standard (Standard “World”), approved by WHO. JoinPoint software was used to investigate time trends as well as office suite MSEXCEL 2010.Results of the study. The minimum values of male and female crude and standardized mortality rates were established in 1964. Throughout the study period, the male population mortality rate grew 1.8-fold (based on crude rates – 2.4-fold), the female population mortality rate – 1.6-fold (based on crude rates – 2.2-fold). During 1985 – 2005, the differences in crude mortality rates among men and women grew 1.2-fold, and during 1962 – 2011, the differences in standardized rates increased 1.8-fold. Since 2003, the mortality rate among men and since 1999, the death rate among women has declined with an annual decrease rate to be more than twice as high as compared to an annual mortality increase registered during its growth.Conclusion. Since the 1960s, the changes in population age structure of the male and female population affected the crude mortality rates. The male and female mortality growth is due to an increased unfavorable impact of combined environmental factors. The adaptive capacity of women to sustain environmental changes contributed to their later entry into the period of mortality growth, as compared to men. The mortality rate reduction in men since 2003 and the excess of a decrease over an increase rate is associated with a set of state measures aimed at protecting and strengthening the public health in the republic.

scholarly journals Trends in the nontuberculous mycobacterial disease mortality rate in Japan: A nationwide observational study, 1997-2016

2020 ◽  
Author(s):  
Ko Harada ◽  
Hideharu Hagiya ◽  
Tomoko Funahashi ◽  
Toshihiro Koyama ◽  
Mitsunobu R Kano ◽  
...  
Keyword(s):  
Mortality Rate ◽  
The Elderly ◽  
Mortality Rates ◽  
Vital Statistics ◽  
Female Population ◽  
Health Authorities ◽  
Disease Mortality ◽  
Crude Mortality ◽  
Public Health Authorities ◽  
Nationwide Observational Study

Abstract Background The incidence of nontuberculous mycobacterial (NTM) infections has been increasing worldwide, becoming a significant healthcare burden especially among elderly people. This study aimed to evaluate the trends in NTM-associated mortality in Japan. Methods This study used vital statistics data and data on all NTM-associated deaths (N=18,814) among individuals aged ≥40 years in Japan from 1997 to 2016. We calculated the crude and age-adjusted mortality rates by age and sex and used joinpoint regression to analyze trends and estimate the average annual percentage change (AAPC). We compared crude NTM- and tuberculosis (TB)-associated mortality rates by sex. Results The overall crude annual mortality rate increased from 0.63/100,000/year in 1997 to 1.93/100,000/year in 2016 and was the highest among individuals aged 80–84 years. The AAPC of the crude mortality rates among males of all ages and females aged 40–59 years were stable but increased among females aged 60–79 years (3.5%, 95% confidence interval [CI]: 2.8–4.3%) and ≥80 years (4.3%, 95% CI: 3.7–4.9%). Among males, the age-adjusted mortality rates did not show a significant trend, while among females, the rates increased over the study period (AAPC: 4.6%, 95% CI: 2.7–6.6%). In females, the crude NTM-associated mortality rate exceeded the TB mortality rate in 2014, 2015, and 2016. Conclusions  NTM mortality increased in Japan between 1997 and 2016, especially among the elderly female population. Given the increasing NTM-associated mortality and susceptible aging population, public health authorities in Japan should pay greater attention to NTM infections.

scholarly journals Mortality by marital status in the Republic of Serbia

2018 ◽  
pp. 597-606
Author(s):  
Ivan Marinkovic ◽  
Biljana Radivojevic
Keyword(s):  
Age Groups ◽  
Mortality Trends ◽  
Female Population ◽  
Men And Women ◽  
Male And Female ◽  
Factors Affecting ◽  
The Difference ◽  
The Republic ◽  
Population Mortality ◽  
The Impact

Mortality among married is lower than in those out of wedlock. Studies in European countries show that the difference in mortality between those who are married and those unmarried is increased regardless of sex. The main objective of the analysis in this paper is to show the impact of marriage on the mortality of the population, as well as the difference in the life expectancy of men and women in Serbia, by marriage status. Is there a protective effect of marriage? That is, can we confirm the hypothesis of higher importance of marriage status, when it comes to mortality of the men, and can we determine whether there are strong links between mortality and various modalities of marriage in the female population? Mortality trends for married and unmarried individuals were analyzed between the years 1981 and 2011, for both male and female population by five-year age groups. The scope of the analysis is the territory of Central Serbia and Vojvodina. This aspect of mortality is not sufficiently addressed in national research, which is why it is expected that the results of the conducted research can contribute to a deeper understanding of the factors affecting the mortality of the population in Serbia.

scholarly journals Joint modelling of male and female mortality rates using adaptive P-splines

2021 ◽  
pp. 1-17
Author(s):  
Kai Hon Tang ◽  
Erengul Dodd ◽  
Jonathan J. Forster
Keyword(s):  
Mortality Rates ◽  
Mortality Data ◽  
Female Mortality ◽  
Joint Modelling ◽  
Male And Female ◽  
England And Wales ◽  
Crude Mortality

Abstract Raw mortality data often exhibit irregular patterns due to randomness. Graduation refers to the act of smoothing crude mortality rates. In this paper, we propose a flexible and robust methodology for graduating mortality rates using adaptive P-splines. Since the observed data at high ages are often sparse and unreliable, we use an exponentially increasing penalty. We use mortality data of England and Wales and model male and female mortality rates jointly by means of penalties, achieving borrowing of information between the two sexes.

scholarly journals A Spatial Analysis of Tuberculosis Related Mortality in South Africa

2021 ◽  
Vol 18 (22) ◽  
pp. 11865
Author(s):  
Dan Kibuuka ◽  
Charles Mpofu ◽  
Penny Neave ◽  
Samuel Manda
Keyword(s):  
Public Health ◽  
South Africa ◽  
Mortality Rate ◽  
Spatial Epidemiology ◽  
Hot Spot ◽  
Mortality Rates ◽  
Cold Spot ◽  
The South ◽  
Female Population ◽  
Death Rates

Background: South Africa, with an estimated annual tuberculosis (TB) incidence of 360,000 cases in 2019, remains one of the countries with the largest burden of TB in the world. The identification of highly burdened TB areas could support public health policy planners to optimally target resources and TB control and prevention interventions. Objective: To investigate the spatial epidemiology and distribution of TB mortality in South Africa in 2010 and its association with area-level poverty and HIV burden. Methods: The study analysed a total of 776,176 TB deaths for the period 2005–2015. Local and global and spatial clustering of TB death rates were investigated by Global and Local Moran’s Indices methods (Moran’s I). The spatial regression analysis was employed to assess the effect of poverty and HIV on TB mortality rates. Results: There was a significant decrease in TB mortality rate, from 179 per 100,000 population in 2005 to 60 per 100,000 population in 2015. The annual TB mortality rate was higher among males (161.5 per 100,000 male population; (95% confidence interval (CI) 132.9, 190.0) than among females (123.2 per 100,000 female population; (95% CI 95.6, 150.8)). The 35–44 age group experienced higher TB mortality rates, regardless of gender and time. Hot spot clusters of TB mortality were found in the South-Eastern parts of the country, whereas cold spot clusters were largely in the north-eastern parts. Tuberculosis death rates were positively associated with poverty, as measured by the South African Multidimension Poverty Index (SAMPI) as well TB death rates in the neighbouring districts. Conclusion: The findings of this study revealed a statistically significant decrease in TB deaths and a disproportionate distribution of TB deaths among certain areas and population groups in South Africa. The existence of the identified inequalities in the burden of TB deaths calls for targeted public health interventions, policies, and resources to be directed towards the most vulnerable populations in South Africa.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?Background: Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care, and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking.Objective: We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.Methods: Satellite images of neighborhoods surrounding schools were extracted with the Google Static Maps application programming interface for 430 counties representing ~68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.Results: Predicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r = 0.72). Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g., sidewalks, driveways, and hiking trails) associated with lower mortality. Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race, and age.Conclusions: The application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

scholarly journals Mortality from endometrial cancer in female population of Belgrade

2004 ◽  
Vol 61 (3) ◽  
pp. 267-272
Author(s):  
Vesna Pantovic ◽  
Mirjana Jarebinski ◽  
Tatjana Pekmezovic ◽  
Anita Knezevic ◽  
Darija Kisic
Keyword(s):  
Endometrial Cancer ◽  
Mortality Rate ◽  
Malignant Tumors ◽  
Age Groups ◽  
Mortality Rates ◽  
Mortality Decline ◽  
Female Population ◽  
Average Percentage ◽  
Standardized Mortality Rate

Data about mortality from malignant tumors of endometrium were analyzed in the Belgrade area during the period 1975-2000. The obtained results showed that the average percentage of endometrial cancer in mortality structure from all the cancers of female population was 2.65%. During the observed 26-years period, malignant tumors of endometrium constituted 17.38% of all the tumors of gynecological localization. The standardized mortality rate in 1975 (population worldwide used as a standard) 7.06/100 000 population while in 2000 it was 1.78/100 000 population, respectively, which showed almost fourfold mortality decline during the observed period (y=4.72-0.16x). A trend of declining risk of dying from endometrial cancer was present in all the age groups. The obtained results indicated that in the observed period the average mortality rates ranged from 0.14/100 000 population in females aged up to 34 years (y=0.30-0.01x), and reached the highest value in females aged 65-74 years (14.57/100 000; y=23.43-0.66x), and 75 years of age and over (19.62/100 000; y=31.17-0.85x).

scholarly journals Characteristics of mortality in the Orenburg region population in 2011-2017

2020 ◽  
Vol 5 (2) ◽  
pp. 99-104
Author(s):  
Evgenii L. Borschuk ◽  
Dmitrii N. Begun ◽  
Tatyana V. Begun
Keyword(s):  
Mortality Rate ◽  
Causes Of Death ◽  
Age Groups ◽  
Circulatory System ◽  
Mortality Rates ◽  
Female Population ◽  
Orenburg Region ◽  
The Third ◽  
Circulatory System Diseases ◽  
External Causes

Objectives - to study the mortality indicators, their dynamics and structure, in the population of the Orenburg region in the period of 2011-2017. Material and methods. The study was conducted using the data from the territorial authority of statistics in the Orenburg region in the period from 2011 to 2017. The analytical, demographic and statistical methods were implemented for the study of the demographic indicators. Results. Cities and municipal settlements of the Orenburg region with high mortality indicators were included in the second and fourth clusters during the cluster analysis. The first and third clusters included cities and municipal settlements with an average mortality. The most favorable position has the Orenburg area with the lowest mortality rate in the region in 2017 - 8.4%. The dynamics of mortality rates among the male and female population tends to decrease, more pronounced dynamics is in men. Though, the male population is characterized by higher mortality rates in all age groups. The leading position among the causes of death is taken by diseases of the circulatory system (46.3% of the total mortality). The second position is occupied by tumors (17.2%), the third - by external causes (8.4%). Mortality from circulatory system diseases and from external causes has reduced. The dynamics of mortality from tumors does not change significantly. The rank of leading causes of death is not identical in the clusters: in the third and fourth clusters, the other causes occupy the second place in the structure of mortality, while tumors occupy the third. Conclusion. In the Orenburg region, the mortality rate is higher than overage in the Russian Federation by 0.9 per 1000 people. The study revealed significant territorial differences in the mortality rates. In general, the mortality among men in all age groups is higher than the mortality of women. The mortality rate from diseases of the circulatory system plays the leading role in the structure of mortality, but has the tendency for decline. Until 2006, the mortality from external causes ranked the second place, now the second place is taken by death from tumors The mortality from external causes is decreasing; mortality from tumors does not change significantly. The obtained results could be used by local authorities in developing the program of public health protection and assessing its effectiveness.

Lamb mortality in a flock of East African Blackheaded sheep

1966 ◽  
Vol 66 (1) ◽  
pp. 97-100 ◽  
Author(s):  
J. C. M. Trail ◽  
G. D. Sacker
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Mortality Rates ◽  
Dry Season ◽  
East African ◽  
Male And Female ◽  
The Mean ◽  
Overall Mortality

1. The effects of birth weight, sex, twinning, parity of dam and dry season on mortality rates of lambs were studied between birth and weaning at 20 weeks in a flock of East African Blackheaded sheep.2. The mean birth weights of non-surviving lambs were lower than those of surviving lambs. Singles from gimmers and twins from ewes were 0.5 and 1.0 lb., respectively, lighter at birth, and had higher mortality rates than singles from ewes. The overall mortality rate of singles from ewes was 16%, singles from gimmers 20% and twins from ewes 28%. Male and female lambs born alive had similar mortality rates (18%).

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Neighborhood Features

2020 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

AbstractWhat is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?BackgroundFollowing a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking. We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.MethodsSatellite images were extracted with the Google Static Maps application programming interface for 430 counties representing approximately 68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.ResultsPredicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r=0.72). Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race and age. Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g. sidewalks, driveways and hiking trails) associated with lower mortality.ConclusionsThe application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

Spatial assessment of breast cancer mortality in Kazakhstan

2020 ◽  
Vol 1-2 (211-212) ◽  
pp. 26-30
Author(s):  
Asem Toguzbayeva ◽  
◽  
Nurbek Igissinov ◽  
Gulnur Igissinova ◽  
Zarina Bilyalova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Mortality ◽  
Breast Cancer Mortality ◽  
Monitoring And Evaluation ◽  
Mortality Rates ◽  
Female Population ◽  
Spatial Assessment ◽  
The North ◽  
Icd 10 ◽  
The Republic

Breast cancer (BC) mortality analysis at the regional level is important not only for assessing the current epidemiological situation, but also contributes to a better understanding of factors that may affect mortality. Aim. The purpose of the study is to assess the spatial deaths from BC in Kazakhstan. Material and methods. Investigation was retrospective between 2009-2018 years. The materials were collected by statistics Committee by the Ministry of National Economy of the Republic of Kazakhstan concerning the deaths from BC (ICD-10-C50). A method of compiling a cartogram based on the determination of the standard deviation (σ) from the mean (x) was applied. Mortality rates calculated per 100,000 female population were used. Results and discussion. A spatial assessment of breast cancer mortality was presented based on the calculation of mortality rates: low up to 12.80/0000; average from 12.8 to 17.30/0000, and high – above 17.30/0000. It was established that the North Kazakhstan (18.20/0000), Akmola (18.90/0000), East Kazakhstan (20.30/0000) and Pavlodar (22.20/0000) regions, as well as the city of Almaty (21.70/0000) relate to regions with high mortality rates. Conclusion. Features of mortality from BC in the republic have been established, while a spatial assessment (cartogram) of mortality indicates regions with different mortality rates. The obtained data are recommended to be used for monitoring and evaluation of anti-cancer measures – BC screening. Keywords: mortality, breast cancer, cartogram, Kazakhstan.

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