Kenia

Causes of Death data refer to the underlying cause which - according to the World Health Organisation (WHO) - is the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury"."

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

This data set provides the Estimated numbers of new cancer cases and deaths in 2023. In 2023, 1,958,310 new cancer cases and 609,820 cancer deaths are projected to occur in the United States. 

Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Global and regional deaths of children under 5 years of age by cause. Estimates generated by the WHO and Maternal and Child Epidemiology Estimation Group (MCEE) 2018.

Data cited at: Our World in data-https://ourworldindata.org/coronavirus-source-data 

Note: For Measures-"Lower Credible (50%), Upper Credible(50%),Probability of Control", the data is available as of 25th June 2020 and there will be no further update for these measures as discontinued at source level. Latest estimates of the number of confirmed cases by date of infection, the effective reproduction number, and the doubling time (when negative this corresponds to the halving time) in each region. The mean and 90% credible interval is shown. Data cited at https://epiforecasts.io/covid/posts/global/

The indicator measures the standardised death rate of chronic diseases. Chronic diseases included in the indicator are malignant neoplasms, diabetes mellitus, ischaemic heart diseases, cerebrovascular diseases, chronic lower respiratory diseases and chronic liver diseases (International Classification of Diseases (ICD) codes C00 to C97, E10 to E14, I20 to I25, I60 to I69 and J40 to J47). Death due to chronic diseases is considered premature if it occurs before the age of 65. The rate is calculated by dividing the number of people under 65 dying due to a chronic disease by the total population under 65. Data on causes of death (COD) refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. The data are presented as standardised death rates, meaning they are adjusted to a standard age distribution in order to measure death rates independently of different age structures of populations. This approach improves comparability over time and between countries. The standardised death rates used here are calculated on the basis of the standard European population referring to the residents of the countries.

Measles cases are defined as laboratory confirmed, epidemiologically linked, and clinical cases as reported to the World Health Organization.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."

Citation: Global Health Observatory (GHO) Data: https://www.who.int/gho/en/: World Health Organization; 2019. License: CC BY-NC-SA 3.0 IGO   The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.

Note: Daily data is getting released with a time gap of T-2. For example, 16-March-2020 data is released on 18-March-2020   This dataset gives Google Web Search Trend for search item - "coronavirus" for past 90 days. Interest over time: Numbers represent search interest relative to the highest point on the chart for the given region and time. A value of 100 is the peak popularity for the term. A value of 50 means that the term is half as popular. A score of 0 means there was not enough data for this term.

This dataset presents HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).

Data Citation: FluNet: https://apps.who.int/flumart/Default?ReportNo=2: World Health Organization; [2021]. License: CC BY-NC-SA 3.0 IGO WHO- FluMart is a platform that has been developed to facilitate data exchange, harmonization, consolidation and storage of influenza related data. FluMart allows the upload of any user defined data files in their own format and transforms them into standard data. Standard format data can be used for analysis purposes and to produce reports. FluMart does not replace already existing applications such as FluNet and FluID, but combines the data from different applications and/or data sources in one common platform to enable integrated analysis and reporting. Note: Date has been taken as Starting Date of range date for the week  

Data cited at: Prof.Prof. Lauren Gardner; Center for Systems Science and Engineering at John Hopkins University, blog Post -  https://systems.jhu.edu/research/public-health/ncov/   On December 31, 2019, the World Health Organization (WHO) was informed of an outbreak of “pneumonia of unknown cause” detected in Wuhan City, Hubei Province, China – the seventh-largest city in China with 11 million residents. As of February 04, 2020, there are over 24,502 cases confirmed globally, including cases in at least 30 regions in China and 30 countries.  Interests: In-Market Segments Knoema All Users   Knoema modified the original dataset to include calculations per million.   https://knoema.com/WBPEP2018Oct https://knoema.com/USICUBDS2020 https://knoema.com/NBSCN_P_A_A0301 https://knoema.com/IMFIFSS2017Nov https://knoema.com/AUDSS2019 https://knoema.com/UNAIDSS2017 https://knoema.com/UNCTADPOPOCT2019Nov https://knoema.com/WHOWSS2018 https://knoema.com/KPMGDHC2019

Data cited at: Global Fund

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines.   The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators.   Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.