Data received as of July 3, 2017 | WHO and UNICEF estimates of national immunization coverage - next revision available July 15, 2018
Data from the 2011 Ethiopia Demographic and Health Survey
Data from the 2011 Ethiopia Demographic and Health Survey
Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
Data from the 2000, 2005, and 2011 Ethiopia Demographic and Health Surveys | This report examines trends in key demographic indicators among youth from the findings of the 2000, 2005, and 2011 Ethiopia Demographic and Health Surveys (EDHS).
Data from the 2011 Ethiopia Demographic and Health Survey
Data from l'Enquête Démographique et de Santé (EDS-RDC) en République Démocratique du Congo, 2013-14
Free and open source tool of choice for tens of thousands of humanitarians, development practitioners, global health workers, and researchers around the world. KoBoToolbox is a suite of tools for field data collection for use in challenging environments.Quickly collecting reliable information in a h...umanitarian crisis – especially following a natural disaster such as a large earthquake or a typhoon taking place in a poor country – is the critical link to saving the lives of the most vulnerable. Download the software directly from the website
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Data on the essential building blocks of mental health systems, including mental health
governance, financing, service delivery, human resources and information, are reported. For
mental health planning, it is important to know not only the level of resources in these six areas,
but also how thos...e resources are being organized and utilized. Thus, data on efficiency, access,
equity, linkages with other sectors and respect for human rights are reported as well.
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Data Source: ISCG as of 05 February 2019
*Food Security Sector only reports activitiy where the distribution points are positioned, the actual operational coverage is wider.
*Activities shown include only those which have been completed or are ongoing. Product prepared with 4W input by sectors as ...of 05 February 2019 and only intended as a representation of available data. The actual number of partners and activity in the field could be different than reported. 4W (Who does What, Where, When*) - as of 05 February 2019
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The Burkina Faso Demographic and Health and Multiple Cluster Indicator Survey 2010 (DHS-MICS), or Enquête Démographique et de Santé et à Indicateurs Multiples du Burkina Faso 2010, was conducted by the Institut National de la Statistique et de la Démographie (INSD) of the Ministry of Economy a...nd Plan (MOEP) in collaboration with the Ministry of Health (MOH), with technical assistance from ICF International. Data for this nationally representative survey were collected from 14,424 households, and complete interviews were conducted with 17,087 women aged 15−49 and 7,307 men aged 15–59. The fieldwork took place from May 2010 to January 2011. The summary statistics presented below were taken from the 2010 Burkina Faso DHS-MICS (INSD and ICF International 2012), with exceptions as noted.
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Data ultimo aggiornamento: 23 marzo 2020
Data ultima verifica: 23 marzo 2020
Data Collection: Recommended Surgical and Anaesthesia Care Indicators
Data on Infectious Diseases in Ukraine Now Available as a Free eBook to Help Medics and Relief Efforts During the War.
• Data on the 215+ infectious diseases endemic to Ukraine
• All published data on infections imported into Ukraine
To download the book, please click the button below and use... the coupon code EBOOKUKRAINE at checkout: The code will expire in 30 days.
March 2nd, 2022
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Data for Action March 2022, Issue 5
Data from 22 countries across the region featured in the study shows children are bearing the heaviest burden of the economic crisis caused by the war in Ukraine. While children make up 25 per cent of the population, they account for nearly 40 per cent of the additional 10.4 million people experienc...ing poverty this year.
The Russian Federation has experienced the most significant increase in the number of children living in poverty, with an additional 2.8 million children now living in households below the poverty line, accounting for nearly three-quarters of the total increase across the region. Ukraine is home to half a million additional children living in poverty, the second largest share. It is important to note that this is a conservative estimate which uses a GDP drop of 10 per cent.
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Background: Data on burden of peripheral artery disease (PAD) and its attributable risk factors are valuable for policymaking. We aimed to estimate the burden and risk factors for PAD from 1990 to 2019.
Methods: We extracted the data on prevalence, incidence, death, years lived with disability (YLD...s), and years of life lost (YLLs) from the Global Burden of Disease Study 2019 to measure PAD burden. Moreover, the attributable burden to PAD risk factors was also estimated.
Results: Globally, in 2019, 113,443,017 people lived with PAD and 10,504,092 new cases occurred, resulting in 74,063 deaths, 500,893 YLDs, and 1,035,487 YLLs. The absolute numbers of PAD prevalent and incident cases significantly increased between 1990 and 2019, contrasting with the decline trends in age-standardized prevalence and incidence rates. However, no statistically significant changes were detected in the global age-standardized death or YLL rates. The burden of PAD and its temporal trends varied significantly by location, gender, age group, and social-demographic status. Among all potentially modifiable risk factors, age-standardized PAD deaths worldwide were primarily attributable to high fasting plasma glucose, followed by high systolic blood pressure, tobacco, kidney dysfunction, diet high in sodium, and lead exposure.
Conclusion: PAD remained a serious public health problem worldwide. More strategies aimed at implementing cost-effective interventions and addressing modifiable risk factors should be carried out, especially in regions with high or increasing burden.
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Existing data on chronic obstructive pulmonary disease (COPD) prevalence are irregularly distributed around the world, and in many geographic regions data are scarce or even nonexistent. This fact hinders the implementation of adequate preventive and therapeutic interventions to reduce the high burd...en and costs of COPD. In the current study, we have used the Geographic Information System (GIS) inverse distance weighted (IDW) interpolation technique with the objective of visualising spatial data of COPD prevalence in the world and obtaining a visual impression of the magnitude of this global health problem. GIS has been recognised as an effective tool to display the geographical distribution of data, even when they are few and widely separated, as is the case with the prevalence of COPD.
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This dataset contains data from WHO's data portal covering the following categories:
Air pollution, Antimicrobial resistance (AMR), Assistive technology, Child mortality, Dementia diagnosis, treatment and care, Dementia policy and legislation, Environment and health, Foodborne Diseases Estimates,... Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence against women, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics.
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