It is estimated that alcohol contributed to around 2.6 million deaths worldwide in 2019. The major causes of alcohol-related death include alcohol poisoning, liver damage, heart failure, cancer, and car accidents. Alcohol abuse worldwide Despite the widespread use of alcohol around the world, a global survey from 2024 of people from 31 different countries found that around 16 percent of respondents stated alcohol abuse was the biggest health problem facing people in their country. The countries with the highest per capita consumption of alcohol include Romania, Georgia, and Latvia. Alcohol consumption in the United States It is estimated that over half of adults in the United States aged 21 to 49 currently use alcohol. Binge drinking (four or more drinks for women and five or more drinks for men on a single occasion) is most common among those aged 21 to 29 years, but still around 25 percent of those aged 40 to 44 report binge drinking. The states with the highest share of the population who binge drink are North Dakota, Iowa, and South Dakota. The death rate due to alcohol in the United States was around 13.5 per 100,000 population in 2022, an increase from a rate of 10.4 per 100,000 recorded in 2019.

This statistic depicts the alcohol-attributable death rate worldwide in 2016, by cause. In that year, there were 1.9 deaths from alcohol use disorders per 100,000 people.

The graph displays the alcohol-related death rate in the United States from 1980 to 2021. The x-axis represents the years, while the y-axis shows the death rate per 100,000 people. Over this 41-year period, the death rate ranges from a low of 2.3 in the early 1980s to a high of 4.0 in 2019. The data shows a steady, gradual increase in death rates starting in the early 2000s, with a sharper rise in the 2010s, peaking in 2019 and slightly decreasing in the following years. The graph illustrates a clear upward trend in alcohol-related death rates over time.

In 2019, the global death rate of alcohol-associated liver cancer among the elderly was highest in Europe and the Americas, with around 10 and 8 deaths per 100,000 people, respectively. This statistic shows the age-standardized death rate (ASDR) of alcohol-related liver cancer among the elderly worldwide in 2019, by region.

In 2019, the global death rate of alcohol-associated liver cirrhosis among the elderly was nearly three times as high in men compared to women. Men reported over 29 deaths per 100,000 population, while women reported approximately 12 deaths per 100,000 population. This statistic shows the age-standardized death rate (ASDR) of alcohol-related liver cirrhosis among the elderly worldwide in 2019, by gender.

BackgroundCardiovascular diseases (CVDs) are the leading global disease burden, with alcohol consumption closely linked to their occurrence. This study analyzes data from the Global Burden of Disease Study 2021 (GBD 2021) to assess the distribution and trends of high alcohol use-related CVD from 1990 to 2021 across global, regional, and national levels.Materials and methodsWe used the data from the GBD 2021 to conduct stratification by region, country, gender, age, SDI, and disease type in terms of the number of deaths, age-standardized mortality rate (ASMR), disability-adjusted life years (DALYs), age-standardized rate of DALYs (ASDR), years lived with disability (YLDs), age-standardized rate of YLDs, years of life lost (YLLs), and age-standardized rate of YLLs to comprehensively assess the burden of high alcohol use-related CVD from 1990 to 2021. All statistical analyses in this study were performed using R statistical software (version 4.1.2).ResultsBetween 1990 and 2021, global deaths, DALYs, YLDs, and YLLs attributable to high alcohol use-related CVD showed notable variation. By 2021, global deaths had doubled compared to 1990, while ASMR, ASDR, age-standardized YLD rate, and YLL rate all declined. Eastern Europe had the highest rates in 2021. Males consistently had higher ASMR, ASDR, YLD, and YLL rates compared to females, with the highest number of deaths occurring in the 70–74 age group, and the 65–69 age group showing the highest DALYs, YLDs, and YLLs. These rates increased with age. Stroke was the most common high alcohol use-related CVD, while ischemic heart disease (IHD) was the least common.ConclusionBetween 1990 and 2021, the overall burden of high alcohol use-related CVD declined globally, though some regions experienced an increase. This highlights the need for continued public health efforts, particularly targeting high-risk regions and populations, to mitigate the impact of alcohol on cardiovascular health.

Death rate due to mental and behavioural disorders due to use of alcohol, by sex (number of deaths per 100 000 inhabitants, adjusted to a standard age distribution, and as defined by the International Statistical Classification of Diseases and Related Health Problems (ICD)).

Context

A straightforward way to assess the health status of a population is to focus on mortality – or concepts like child mortality or life expectancy, which are based on mortality estimates. A focus on mortality, however, does not take into account that the burden of diseases is not only that they kill people, but that they cause suffering to people who live with them. Assessing health outcomes by both mortality and morbidity (the prevalent diseases) provides a more encompassing view on health outcomes. This is the topic of this entry. The sum of mortality and morbidity is referred to as the ‘burden of disease’ and can be measured by a metric called ‘Disability Adjusted Life Years‘ (DALYs). DALYs are measuring lost health and are a standardized metric that allow for direct comparisons of disease burdens of different diseases across countries, between different populations, and over time. Conceptually, one DALY is the equivalent of losing one year in good health because of either premature death or disease or disability. One DALY represents one lost year of healthy life. The first ‘Global Burden of Disease’ (GBD) was GBD 1990 and the DALY metric was prominently featured in the World Bank’s 1993 World Development Report. Today it is published by both the researchers at the Institute of Health Metrics and Evaluation (IHME) and the ‘Disease Burden Unit’ at the World Health Organization (WHO), which was created in 1998. The IHME continues the work that was started in the early 1990s and publishes the Global Burden of Disease study.

Content

In this Dataset, we have Historical Data of different cause of deaths for all ages around the World. The key features of this Dataset are: Meningitis, Alzheimer's Disease and Other Dementias, Parkinson's Disease, Nutritional Deficiencies, Malaria, Drowning, Interpersonal Violence, Maternal Disorders, HIV/AIDS, Drug Use Disorders, Tuberculosis, Cardiovascular Diseases, Lower Respiratory Infections, Neonatal Disorders, Alcohol Use Disorders, Self-harm, Exposure to Forces of Nature, Diarrheal Diseases, Environmental Heat and Cold Exposure, Neoplasms, Conflict and Terrorism, Diabetes Mellitus, Chronic Kidney Disease, Poisonings, Protein-Energy Malnutrition, Road Injuries, Chronic Respiratory Diseases, Cirrhosis and Other Chronic Liver Diseases, Digestive Diseases, Fire, Heat, and Hot Substances, Acute Hepatitis.

Dataset Glossary (Column-wise)

• 01. Country/Territory - Name of the Country/Territory
• 02. Code - Country/Territory Code
• 03. Year - Year of the Incident
• 04. Meningitis - No. of People died from Meningitis
• 05. Alzheimer's Disease and Other Dementias - No. of People died from Alzheimer's Disease and Other Dementias
• 06. Parkinson's Disease - No. of People died from Parkinson's Disease
• 07. Nutritional Deficiencies - No. of People died from Nutritional Deficiencies
• 08. Malaria - No. of People died from Malaria
• 09. Drowning - No. of People died from Drowning
• 10. Interpersonal Violence - No. of People died from Interpersonal Violence
• 11. Maternal Disorders - No. of People died from Maternal Disorders
• 12. Drug Use Disorders - No. of People died from Drug Use Disorders
• 13. Tuberculosis - No. of People died from Tuberculosis
• 14. Cardiovascular Diseases - No. of People died from Cardiovascular Diseases
• 15. Lower Respiratory Infections - No. of People died from Lower Respiratory Infections
• 16. Neonatal Disorders - No. of People died from Neonatal Disorders
• 17. Alcohol Use Disorders - No. of People died from Alcohol Use Disorders
• 18. Self-harm - No. of People died from Self-harm
• 19. Exposure to Forces of Nature - No. of People died from Exposure to Forces of Nature
• 20. Diarrheal Diseases - No. of People died from Diarrheal Diseases
• 21. Environmental Heat and Cold Exposure - No. of People died from Environmental Heat and Cold Exposure
• 22. Neoplasms - No. of People died from Neoplasms
• 23. Conflict and Terrorism - No. of People died from Conflict and Terrorism
• 24. Diabetes Mellitus - No. of People died from Diabetes Mellitus
• 25. Chronic Kidney Disease - No. of People died from Chronic Kidney Disease
• 26. Poisonings - No. of People died from Poisoning
• 27. Protein-Energy Malnutrition - No. of People died from Protein-Energy Malnutrition
• 28. Chronic Respiratory Diseases - No. of People died from Chronic Respiratory Diseases
• 29. Cirrhosis and Other Chronic Liver Diseases - No. of People died from Cirrhosis and Other Chronic Liver Diseases
• 30. Digestive Diseases - No. of People died from Digestive Diseases
• 31. Fire, Heat, and Hot Substances - No. of People died from Fire or Heat or any Hot Substances
• ...

Data underlying figures and relative risk curves within the article. Provides readers the mean value and uncertainty intervals for prevalence of current drinking, drinks per day by location, relative risks by outcome and dose, along with results for the weighted all-cause relative risk curve used to justify TMREL within the study. Based off sources mentioned in Appendix I.

From Abstract in linked paper:

Background Alcohol use is a leading risk factor for death and disability, but its overall association with health remains complex given the possible protective effects of moderate alcohol consumption on some conditions. With our comprehensive approach to health accounting within the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we generated improved estimates of alcohol use and alcohol-attributable deaths and disability-adjusted life-years (DALYs) for 195 locations from 1990 to 2016, for both sexes and for 5-year age groups between the ages of 15 years and 95 years and older.

Methods Using 694 data sources of individual and population-level alcohol consumption, along with 592 prospective and retrospective studies on the risk of alcohol use, we produced estimates of the prevalence of current drinking, abstention, the distribution of alcohol consumption among current drinkers in standard drinks daily (defined as 10 g of pure ethyl alcohol), and alcohol-attributable deaths and DALYs. We made several methodological improvements compared with previous estimates: first, we adjusted alcohol sales estimates to take into account tourist and unrecorded consumption; second, we did a new meta-analysis of relative risks for 23 health outcomes associated with alcohol use; and third, we developed a new method to quantify the level of alcohol consumption that minimises the overall risk to individual health

Snapshot img

The alcoholic hepatitis treatment market share is expected to increase by USD 695.42 million from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 6.39%. This alcoholic hepatitis treatment market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. The alcoholic hepatitis treatment market report also offers information on several market vendors, including Cadila Healthcare Ltd., Dr. Reddys Laboratories Ltd., Gilead Sciences Inc., Johnson & Johnson, Mylan NV, Novartis AG, Sanofi SA, Sun Pharmaceutical Industries Ltd., Takeda Pharmaceutical Co. Ltd., and Teva Pharmaceutical Industries Ltd. among others. Furthermore, this report extensively covers alcoholic hepatitis treatment market segmentation by type (corticosteroids, xanthine derivatives, and others) and geography (North America, Europe, Asia, and ROW).

What will the Alcoholic Hepatitis Treatment Market Size be During the Forecast Period?

Download the Free Report Sample to Unlock the Alcoholic Hepatitis Treatment Market Size for the Forecast Period and Other Important Statistics

Alcoholic Hepatitis Treatment Market: Key Drivers, Trends, and Challenges

The increasing consumption of alcohol worldwide is notably driving the alcoholic hepatitis treatment market growth, although factors such as lack of therapies to treat severe alcoholic hepatitis may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the alcoholic hepatitis treatment industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key Alcoholic Hepatitis Treatment Market Driver

Increasing consumption of alcohol worldwide is a major driver fueling the alcoholic hepatitis treatment market growth. Heavy consumption of alcohol leads to alcoholic hepatitis, which results in hepatic encephalopathy. There has been an increase in the consumption of alcohol globally, which resulted in increased cases of alcoholic hepatitis and mortality rates. In 2017, according to Our World in Data, worldwide alcohol disorders had the highest death toll of 184,934 due to substance use disorders. Brazil, Sub-Saharan Africa, China, India, Russia, and the US, among others, were the countries that observed a high death rate due to alcohol use disorders. Also, every year, 21,815 deaths are caused by alcohol liver diseases in the US. Furthermore, in 2016, a total of 2,744,248 resident deaths were registered in the US. Similarly, according to Eurostat, in wine-producing countries such as Spain, Italy, and Portugal, people tend to drink daily. According to Eurostat, in 2016, 18.6 liters of pure alcohol were consumed per person in Lithuania, followed by Romania (13.7 liters), Bulgaria (13.6 liters), and Belgium (13.2 liters). The COVID-19 pandemic resulted in lockdowns. With the orders of stay at home or work-from-home, the consumption of alcohol spiked in some cities of the US and India. Growing consumption of alcohol is increasing the risk of alcoholic hepatitis. This will drive the global alcoholic hepatitis treatment market during the forecast period.

Key Alcoholic Hepatitis Treatment Market Trend

The development of combination therapies to treat severe alcoholic hepatitis is a major trend influencing the alcoholic hepatitis treatment market growth. The market has witnessed the development of combination therapies to treat severe alcoholic hepatitis. Currently, there is no effective treatment for severe alcoholic hepatitis. Therefore, researchers are focusing on developing combination therapies, as they are more effective. For instance, the researchers at the University of Massachusetts Medical School are studying a combination therapy with Kineret, Trental, and zinc sulfate. During the multicenter study, the combination showed short- and long-term survival benefits in patients with severe alcoholic hepatitis with no unexpected treatment-related severe adverse events. Similarly, Gilead Sciences is conducting a Phase II clinical trial to evaluate the safety and tolerability of selonsertib (GS-4997) in combination with prednisolone in patients with severe alcoholic hepatitis. Furthermore, researchers are evaluating an antibiotic combined with a corticosteroid by targeting the group of patients at high risk of death due to alcoholic hepatitis. Also, researchers are conducting a study on N-acetylcysteine and prednisolone combination therapy for people with severe alcoholic hepatitis in order to improve short-term mortality. Such developments of combination therapies are expected to drive the growth of the market during the forecast period.

Key Alcoholic Hepatitis Treatment Market Challenge

The lack of therapies to treat severe alcoholic hepatitis is a major hindrance to the

BackgroundStroke represents a critical public health challenge with far-reaching global implications for human health. In this study, we seek to characterize the global trends in the burden of stroke attributable to high alcohol use from 1990 to 2021 and investigate its associations with socioeconomic status.MethodsData on the burden of stroke attributable to high alcohol use were derived from the Global Burden of Disease (GBD) study. The main evaluation indicators include mortality, disability-adjusted life years (DALYs), age-standardized mortality rates (ASMR), and age-standardized DALY rates (ASDR). Trends in disease burden across genders, age groups, and regions were analyzed. Decomposition, frontier, and forecasting analyses were also conducted for the disease.ResultsIn 2021, stroke attributable to high alcohol consumption remain a substantial global health burden, accounting for 253,625 deaths (95% UI: 53,445–506,300) and 6,003,243 DALYs (95% UI: 1,323,435–11,423,164) worldwide, respectively. ASMR and ASDR for stroke attributable to high alcohol consumption show a global decline, with an EAPC of −1.81 (95% CI: −1.88 to −1.75) for ASMR and −1.63 (95% CI: −1.70 to −1.56) for ASDR. Findings reveal that in global, high, high-middle and middle SDI regions, epidemiological changes are the primary drivers of decline in mortality and DALYs for disease burden. By 2030, the ASMR for high alcohol use-attributable stroke is projected to decline from 4.3 per 100,000 in 2021 to 4.15 per 100,000, while the ASDR is forecast to decrease from 98 per 100,000 in 2021 to 95 per 100,000.ConclusionIn summary, ASMR and ASDR for stroke attributable to high alcohol consumption decline globally, and in most regions from 1990 to 2021. Relevant countries and institutions should continue to attach great importance to the impact of this disease and formulate targeted policies.

In 2019, the global death rate of alcohol-associated liver cancer among the elderly was over four times as high in men compared to women. Men reported over 13 deaths per 100,000 population, while women reported approximately three deaths per 100,000 population. This statistic shows the age-standardized death rate (ASDR) of alcohol-related liver cancer among the elderly worldwide in 2019, by gender.

Effect of suicide rates on life expectancy dataset

Abstract In 2015, approximately 55 million people died worldwide, of which 8 million committed suicide. In the USA, one of the main causes of death is the aforementioned suicide, therefore, this experiment is dealing with the question of how much suicide rates affects the statistics of average life expectancy. The experiment takes two datasets, one with the number of suicides and life expectancy in the second one and combine data into one dataset. Subsequently, I try to find any patterns and correlations among the variables and perform statistical test using simple regression to confirm my assumptions.

Data

The experiment uses two datasets - WHO Suicide Statistics[1] and WHO Life Expectancy[2], which were firstly appropriately preprocessed. The final merged dataset to the experiment has 13 variables, where country and year are used as index: Country, Year, Suicides number, Life expectancy, Adult Mortality, which is probability of dying between 15 and 60 years per 1000 population, Infant deaths, which is number of Infant Deaths per 1000 population, Alcohol, which is alcohol, recorded per capita (15+) consumption, Under-five deaths, which is number of under-five deaths per 1000 population, HIV/AIDS, which is deaths per 1 000 live births HIV/AIDS, GDP, which is Gross Domestic Product per capita, Population, Income composition of resources, which is Human Development Index in terms of income composition of resources, and Schooling, which is number of years of schooling.

LICENSE

THE EXPERIMENT USES TWO DATASET - WHO SUICIDE STATISTICS AND WHO LIFE EXPECTANCY, WHICH WERE COLLEECTED FROM WHO AND UNITED NATIONS WEBSITE. THEREFORE, ALL DATASETS ARE UNDER THE LICENSE ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/).

[1] https://www.kaggle.com/szamil/who-suicide-statistics

[2] https://www.kaggle.com/kumarajarshi/life-expectancy-who

Description:

This dataset explores the factors influencing life expectancy across various countries and years, aiming to uncover patterns and disparities in health outcomes based on geographic locations. By examining key features such as adult mortality, alcohol consumption, healthcare expenditures, and socioeconomic indicators, this dataset provides insights into the complex interplay of factors shaping life expectancy worldwide.

Feature Description:

Source:

World Health Organization (WHO), United Nations (UN), World Bank, etc.

This dataset is a more different and reliable version to KumarRajarshi's Life Expectancy (WHO) dataset - where some of his values and methods can be questioned.

Context All of the data in this dataset is compiled and downloaded from the Global Health Observatory (GHO) – which is a public health data repository established by the World Health Organisation (WHO). This makes the dataset very reliable and valid.

Challenges - Perform EDA to explore factors that affect life expectancy? - Produce a model to predict life expectancy?

Dataset Contents Life Expectancy from birth: - https://www.who.int/data/gho/data/indicators/indicator-details/GHO/life-expectancy-at-birth-(years)

Mean BMI (kg/m²) (crude estimate): - https://www.who.int/data/gho/data/indicators/indicator-details/GHO/mean-bmi-(kg-m-)-(crude-estimate)

Alcohol, total per capita (15+) consumption (in litres of pure alcohol): - https://www.who.int/data/gho/data/indicators/indicator-details/GHO/total-(recorded-unrecorded)-alcohol-per-capita-(15-)-consumption

The rest of the factors: - https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death (BY COUNTRY, Summary tables of mortality estimates by cause, age and sex, by country, 2000–2019, Number of Deaths [2000, 2010, 2015, 2019]). All of the values are crude estimates number of deaths per 1000.

I did this so you don't have to!

Data Collected: March 2023

This statistic depicts the percentage of deaths globally attributable to alcohol consumption as of 2016, by WHO region. In that year, in the European region 10.1 percent of deaths were attributable to alcohol consumption.

Goal 3Ensure healthy lives and promote well-being for all at all agesTarget 3.1: By 2030, reduce the global maternal mortality ratio to less than 70 per 100,000 live birthsIndicator 3.1.1: Maternal mortality ratioSH_STA_MORT: Maternal mortality ratioIndicator 3.1.2: Proportion of births attended by skilled health personnelSH_STA_BRTC: Proportion of births attended by skilled health personnel (%)Target 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsIndicator 3.2.1: Under-5 mortality rateSH_DYN_IMRTN: Infant deaths (number)SH_DYN_MORT: Under-five mortality rate, by sex (deaths per 1,000 live births)SH_DYN_IMRT: Infant mortality rate (deaths per 1,000 live births)SH_DYN_MORTN: Under-five deaths (number)Indicator 3.2.2: Neonatal mortality rateSH_DYN_NMRTN: Neonatal deaths (number)SH_DYN_NMRT: Neonatal mortality rate (deaths per 1,000 live births)Target 3.3: By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseasesIndicator 3.3.1: Number of new HIV infections per 1,000 uninfected population, by sex, age and key populationsSH_HIV_INCD: Number of new HIV infections per 1,000 uninfected population, by sex and age (per 1,000 uninfected population)Indicator 3.3.2: Tuberculosis incidence per 100,000 populationSH_TBS_INCD: Tuberculosis incidence (per 100,000 population)Indicator 3.3.3: Malaria incidence per 1,000 populationSH_STA_MALR: Malaria incidence per 1,000 population at risk (per 1,000 population)Indicator 3.3.4: Hepatitis B incidence per 100,000 populationSH_HAP_HBSAG: Prevalence of hepatitis B surface antigen (HBsAg) (%)Indicator 3.3.5: Number of people requiring interventions against neglected tropical diseasesSH_TRP_INTVN: Number of people requiring interventions against neglected tropical diseases (number)Target 3.4: By 2030, reduce by one third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-beingIndicator 3.4.1: Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory diseaseSH_DTH_NCOM: Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability)SH_DTH_NCD: Number of deaths attributed to non-communicable diseases, by type of disease and sex (number)Indicator 3.4.2: Suicide mortality rateSH_STA_SCIDE: Suicide mortality rate, by sex (deaths per 100,000 population)SH_STA_SCIDEN: Number of deaths attributed to suicide, by sex (number)Target 3.5: Strengthen the prevention and treatment of substance abuse, including narcotic drug abuse and harmful use of alcoholIndicator 3.5.1: Coverage of treatment interventions (pharmacological, psychosocial and rehabilitation and aftercare services) for substance use disordersSH_SUD_ALCOL: Alcohol use disorders, 12-month prevalence (%)SH_SUD_TREAT: Coverage of treatment interventions (pharmacological, psychosocial and rehabilitation and aftercare services) for substance use disorders (%)Indicator 3.5.2: Alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcoholSH_ALC_CONSPT: Alcohol consumption per capita (aged 15 years and older) within a calendar year (litres of pure alcohol)Target 3.6: By 2020, halve the number of global deaths and injuries from road traffic accidentsIndicator 3.6.1: Death rate due to road traffic injuriesSH_STA_TRAF: Death rate due to road traffic injuries, by sex (per 100,000 population)Target 3.7: By 2030, ensure universal access to sexual and reproductive health-care services, including for family planning, information and education, and the integration of reproductive health into national strategies and programmesIndicator 3.7.1: Proportion of women of reproductive age (aged 15–49 years) who have their need for family planning satisfied with modern methodsSH_FPL_MTMM: Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods (% of women aged 15-49 years)Indicator 3.7.2: Adolescent birth rate (aged 10–14 years; aged 15–19 years) per 1,000 women in that age groupSP_DYN_ADKL: Adolescent birth rate (per 1,000 women aged 15-19 years)Target 3.8: Achieve universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for allIndicator 3.8.1: Coverage of essential health servicesSH_ACS_UNHC: Universal health coverage (UHC) service coverage indexIndicator 3.8.2: Proportion of population with large household expenditures on health as a share of total household expenditure or incomeSH_XPD_EARN25: Proportion of population with large household expenditures on health (greater than 25%) as a share of total household expenditure or income (%)SH_XPD_EARN10: Proportion of population with large household expenditures on health (greater than 10%) as a share of total household expenditure or income (%)Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contaminationIndicator 3.9.1: Mortality rate attributed to household and ambient air pollutionSH_HAP_ASMORT: Age-standardized mortality rate attributed to household air pollution (deaths per 100,000 population)SH_STA_AIRP: Crude death rate attributed to household and ambient air pollution (deaths per 100,000 population)SH_STA_ASAIRP: Age-standardized mortality rate attributed to household and ambient air pollution (deaths per 100,000 population)SH_AAP_MORT: Crude death rate attributed to ambient air pollution (deaths per 100,000 population)SH_AAP_ASMORT: Age-standardized mortality rate attributed to ambient air pollution (deaths per 100,000 population)SH_HAP_MORT: Crude death rate attributed to household air pollution (deaths per 100,000 population)Indicator 3.9.2: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)SH_STA_WASH: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)Indicator 3.9.3: Mortality rate attributed to unintentional poisoningSH_STA_POISN: Mortality rate attributed to unintentional poisonings, by sex (deaths per 100,000 population)Target 3.a: Strengthen the implementation of the World Health Organization Framework Convention on Tobacco Control in all countries, as appropriateIndicator 3.a.1: Age-standardized prevalence of current tobacco use among persons aged 15 years and olderSH_PRV_SMOK: Age-standardized prevalence of current tobacco use among persons aged 15 years and older, by sex (%)Target 3.b: Support the research and development of vaccines and medicines for the communicable and non-communicable diseases that primarily affect developing countries, provide access to affordable essential medicines and vaccines, in accordance with the Doha Declaration on the TRIPS Agreement and Public Health, which affirms the right of developing countries to use to the full the provisions in the Agreement on Trade-Related Aspects of Intellectual Property Rights regarding flexibilities to protect public health, and, in particular, provide access to medicines for allIndicator 3.b.1: Proportion of the target population covered by all vaccines included in their national programmeSH_ACS_DTP3: Proportion of the target population with access to 3 doses of diphtheria-tetanus-pertussis (DTP3) (%)SH_ACS_MCV2: Proportion of the target population with access to measles-containing-vaccine second-dose (MCV2) (%)SH_ACS_PCV3: Proportion of the target population with access to pneumococcal conjugate 3rd dose (PCV3) (%)SH_ACS_HPV: Proportion of the target population with access to affordable medicines and vaccines on a sustainable basis, human papillomavirus (HPV) (%)Indicator 3.b.2: Total net official development assistance to medical research and basic health sectorsDC_TOF_HLTHNT: Total official development assistance to medical research and basic heath sectors, net disbursement, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_HLTHL: Total official development assistance to medical research and basic heath sectors, gross disbursement, by recipient countries (millions of constant 2018 United States dollars)Indicator 3.b.3: Proportion of health facilities that have a core set of relevant essential medicines available and affordable on a sustainable basisSH_HLF_EMED: Proportion of health facilities that have a core set of relevant essential medicines available and affordable on a sustainable basis (%)Target 3.c: Substantially increase health financing and the recruitment, development, training and retention of the health workforce in developing countries, especially in least developed countries and small island developing StatesIndicator 3.c.1: Health worker density and distributionSH_MED_DEN: Health worker density, by type of occupation (per 10,000 population)SH_MED_HWRKDIS: Health worker distribution, by sex and type of occupation (%)Target 3.d: Strengthen the capacity of all countries, in particular developing countries, for early warning, risk reduction and management of national and global health risksIndicator 3.d.1: International Health Regulations (IHR) capacity and health emergency preparednessSH_IHR_CAPS: International Health Regulations (IHR) capacity, by type of IHR capacity (%)Indicator 3.d.2: Percentage of bloodstream infections due to selected antimicrobial-resistant organismsiSH_BLD_MRSA: Percentage of bloodstream infection due to methicillin-resistant Staphylococcus aureus (MRSA) among patients seeking care and whose

About Dataset

Context:

A straightforward way to assess the health status of a population is to focus on mortality – or concepts like child mortality or life expectancy, which are based on mortality estimates. A focus on mortality, however, does not take into account that the burden of diseases is not only that they kill people, but that they cause suffering to people who live with them. Assessing health outcomes by both mortality and morbidity (the prevalent diseases) provides a more encompassing view on health outcomes. This is the topic of this entry. The sum of mortality and morbidity is referred to as the ‘burden of disease’ and can be measured by a metric called ‘Disability Adjusted Life Years‘ (DALYs).

DALYs are measuring lost health and are a standardized metric that allow for direct comparisons of disease burdens of different diseases across countries, between different populations, and over time. Conceptually, one DALY is the equivalent of losing one year in good health because of either premature death or disease or disability. One DALY represents one lost year of healthy life. The first ‘Global Burden of Disease’ (GBD) was GBD 1990 and the DALY metric was prominently featured in the World Bank’s 1993 World Development Report. Today it is published by both the researchers at the Institute of Health Metrics and Evaluation (IHME) and the ‘Disease Burden Unit’ at the World Health Organization (WHO), which was created in 1998. The IHME continues the work that was started in the early 1990s and publishes the Global Burden of Disease study.

Content:

In this Dataset, we have Historical Data of different cause of deaths for all ages around the World. The key features of this Dataset are: Meningitis, Alzheimer's Disease and Other Dementias, Parkinson's Disease, Nutritional Deficiencies, Malaria, Drowning, Interpersonal Violence, Maternal Disorders, HIV/AIDS, Drug Use Disorders, Tuberculosis, Cardiovascular Diseases, Lower Respiratory Infections, Neonatal Disorders, Alcohol Use Disorders, Self-harm, Exposure to Forces of Nature, Diarrheal Diseases, Environmental Heat and Cold Exposure, Neoplasms, Conflict and Terrorism, Diabetes Mellitus, Chronic Kidney Disease, Poisonings, Protein-Energy Malnutrition, Road Injuries, Chronic Respiratory Diseases, Cirrhosis and Other Chronic Liver Diseases, Digestive Diseases, Fire, Heat, and Hot Substances, Acute Hepatitis.

Dataset Glossary (Column-wise):

1. Country/Territory - Name of the Country/Territory
2. Code - Country/Territory Code
3. Year - Year of the Incident
4. Meningitis - No. of People died from Meningitis
5. Alzheimer's Disease and Other Dementias - No. of People died from Alzheimer's Disease and Other Dementias
6. Parkinson's Disease - No. of People died from Parkinson's Disease
7. Nutritional Deficiencies - No. of People died from Nutritional Deficiencies
8. Malaria - No. of People died from Malaria
9. Drowning - No. of People died from Drowning
10. Interpersonal Violence - No. of People died from Interpersonal Violence
11. Maternal Disorders - No. of People died from Maternal Disorders
12. Drug Use Disorders - No. of People died from Drug Use Disorders
13. Tuberculosis - No. of People died from Tuberculosis
14. Cardiovascular Diseases - No. of People died from Cardiovascular Diseases
15. Lower Respiratory Infections - No. of People died from Lower Respiratory Infections
16. Neonatal Disorders - No. of People died from Neonatal Disorders
17. Alcohol Use Disorders - No. of People died from Alcohol Use Disorders
18. Self-harm - No. of People died from Self-harm
19. Exposure to Forces of Nature - No. of People died from Exposure to Forces of Nature
20. Diarrheal Diseases - No. of People died from Diarrheal Diseases
21. Environmental Heat and Cold Exposure - No. of People died from Environmental Heat and Cold Exposure
22. Neoplasms - No. of People died from Neoplasms
23. Conflict and Terrorism - No. of People died from Conflict and Terrorism
24. Diabetes Mellitus - No. of People died from Diabetes Mellitus
25. Chronic Kidney Disease - No. of People died from Chronic Kidney Disease
26. Poisonings - No. of People died from Poisoning
27. Protein-Energy Malnutrition - No. of People died from Protein-Energy Malnutrition
28. Chronic Respiratory Diseases - No. of People died from Chronic Respiratory Diseases
29. Cirrhosis and Other Chronic Liver Diseases - No. of People died from Cirrhosis and Other Chronic Liver Diseases
30. Digestive Diseases - No. of People died from Digestive Diseases
31. Fire, Heat, and Hot Substances - No. of People died from Fire or Heat or any Hot Substances
32. Acute Hepatitis - No. of People died from Acute Hepatitis Structure of the Dataset

Acknowledgement:

This Dataset is created from Our World in Data. This Dataset falls under open access under the Creative Commons BY license. You can check the FAQ for more informa...

ABSTRACT Introduction Alcohol is a risk factor for several health conditions and accounts for more than three million deaths per year worldwide. The substance contributes to the development of chronic diseases such as cardiovascular and cancer, as well as for acute conditions related to direct effects on the central nervous system. Despite this, its use is common practice among university students, including medical students. Objectives The objectives were (i) to develop a literature review to identify studies into the prevalence of alcohol use among students at Brazilian medical schools; and (ii) to analyze the estimates of prevalence according to medical course and school characteristics. Method Literature review developed to search publications in the (i) Latin American and Caribbean Center in Health Sciences Information (Lilacs) database, using the word combination [(estudantes de medicina AND álcool)] and in the US National Library of Medicine of National Institute of Health (Medline/Pubmed) database, using the word combination [(medical students AND alcohol AND Brazil)]. Alcohol use patterns in the past seven days, past thirty days, and past year were analyzed by plotting and visualization of point estimates and confidence intervals, as well as correlations. Results Fourteen studies were included in this review. Eight of them were developed in the southeast region. Most institutions were under public administration (n = 8), and were in state capitals (n = 8). The prevalence of alcohol use in the past seven days ranged from 23.0% to 46.5%, in the past thirty days ranged from 20.2% to 87.6%, and in the past year ranged from 79.3% to 92.9%. The correlations between prevalence and workload, and between prevalence and age of school showed a weak intensity on the three use patterns analyzed. The correlation directions followed diversified patterns. In the past seven days, the correlation directions were negative both with workload and age of the school. In the past thirty days, the correlation direction was negative with the workload, and positive with the age of the school. In the past year, the correlation direction was positive with workload, and negative with the age of the school. Conclusions Alcohol use is a recurring theme in Brazilian scientific literature and the estimates of prevalence of its use in the past seven days, in the past thirty days and in the past year are high among medical students. The influence of medical school and the medical course characteristics on the use of psychoactive substances requires more attention from the scientific community, and the involvement of the higher education institutions in controlling the alcohol problem in Brazil is fundamental.

Labels: "Status" (Development Status: Developing or Developed)

Features: 1. Country: The name of the country. 2. Year: The year of data recording. 3. Life Expectancy: The average number of years a newborn, person at different age ranges, or the entire population is expected to live 4. Adult Mortality: Probability of dying between 15 and 60 years per 1000 population. 5. Infant Deaths: Number of infant deaths per 1000 live births. 6. Alcohol: Alcohol consumption per capita (in liters of pure alcohol). 7. Percentage Expenditure: Expenditure on health as a percentage of total government spending or GDP. 8. Hepatitis B: Hepatitis B immunization coverage among 1-year-olds (percentage). 9. Measles: Measles immunization coverage among 1-year-olds (percentage).