GHDx: Dataset Records for Chronic respiratory diseases https://ghdx.healthdata.org/keywords/record-list/4289/feed en Sri Lanka Statistical Abstract 2018 https://ghdx.healthdata.org/record/sri-lanka-statistical-abstract-2018 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 1965 - December, 2017</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/report" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Report</a>: </span> Epi surveillance - National vital registration - Nationally representative - Subnationally representative </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/department-census-and-statistics-sri-lanka" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Department of Census and Statistics (Sri Lanka)</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p>The Statistical Abstract of Sri Lanka is an annual public of the Department of Census and Statistics. It collects information from government ministries and departments and other organizations. The information presented includes vital statistics, causes of death, education, business, industry, climate, and infrastructure information. </p> </div> </div> </div> Wed, 20 Dec 2023 16:25:38 -0800 GHDx 419323 at https://ghdx.healthdata.org Sri Lanka Statistical Abstract 2012 https://ghdx.healthdata.org/record/sri-lanka-statistical-abstract-2012 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 1971 - December, 2011</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/report" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Report</a>: </span> Subnationally representative - Urban-rural representative </div> </div> </div><div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p>The Statistical Abstract of Sri Lanka is an annual public of the Department of Census and Statistics. It collects information from government ministries and departments and other organizations. The information presented includes vital statistics, causes of death, education, business, industry, climate, and infrastructure information. This publication may be available through interlibrary loan services. Some of the information found in this report can be accessed on the Department of Census and Statistics website: <a href="http://www.statistics.gov.lk/">http://www.statistics.gov.lk/</a>.</p> </div> </div> </div> Wed, 20 Dec 2023 16:25:38 -0800 GHDx 152392 at https://ghdx.healthdata.org Haiti Demographic and Health Survey 2016-2017 https://ghdx.healthdata.org/record/haiti-demographic-and-health-survey-2016-2017 <div class="field field-name-field-alt-title field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even">Haiti Mortality, Morbidity and Utilization Survey / Enquête Mortalité, Morbidité et Utilisation des Services (EMMUS-VI) 2016-2017</div> </div> </div><div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">November, 2016 - April, 2017</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</a>: </span> Cross-sectional - GPS coordinates (GIS) - Household - Individual - Interview - Nationally representative - Subnationally representative - Urban-rural representative </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/demographic-and-health-surveys-program-dhs" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Demographic and Health Surveys Program (DHS)</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p>The Haiti Demographic and Health Survey (DHS) 2016-2017 is part of phase 7 of the Demographic and Health Survey (DHS) series, a nationally representative household survey series. Topics commonly covered in DHS include child and maternal health, family planning, nutrition, health behavior and knowledge, health care access and use, and immunization. For the 2016-2017 Haiti DHS, 14,371 women ages 15-49 and 9,795 men ages 15-64 were successfully interviewed from 13,405 households.</p> </div> </div> </div> Wed, 06 Sep 2023 12:53:47 -0700 GHDx 218574 at https://ghdx.healthdata.org United States Mortality Rates by Causes of Death and Life Expectancy by County, Race, and Ethnicity 2000-2019 https://ghdx.healthdata.org/record/ihme-data/united-states-causes-death-life-expectancy-by-county-race-ethnicity-2000-2019 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 2000 - December, 2019</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/estimate" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Estimate</a>: </span> Subnationally representative </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/institute-health-metrics-and-evaluation-ihme" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Institute for Health Metrics and Evaluation (IHME)</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p>Mortality rate estimates were produced at the county level in the United States, for 19 causes of death and by racial/ethnic group, for each year between 2000-2019. These estimates were generated using population and deaths data from the National Center for Health Statistics.</p> <p>This dataset includes the following:</p> <ul> <li>CSV files of county-, state-, and national-level estimates of mortality rates and life expectancy for each age group, sex, year, and racial-ethnic group (non-Hispanic White [White], non-Hispanic Black [Black], non-Hispanic Asian or Pacific Islander [Asian], non-Hispanic American Indian Alaska Native [AIAN], and Hispanic or Latino [Latino]). Blank cells are for masked estimates</li> <li>Code used to generate the estimates</li> </ul> </div> </div> </div> Thu, 10 Aug 2023 17:03:04 -0700 GHDx 527397 at https://ghdx.healthdata.org Ipsos General Population COVID-19 Health Services Disruption Survey 2020 https://ghdx.healthdata.org/record/ihme-data/ipsos-general-population-covid-19-health-services-disruption-survey-2020 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">July, 2020 - July, 2020</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</a>: </span> Cross-sectional - Individual </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/institute-health-metrics-and-evaluation-ihme" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Institute for Health Metrics and Evaluation (IHME)</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p>The COVID-19 Health Services Disruption Survey 2020 is a series of surveys developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease.</p> <p>The IPSOS General Population COVID-19 Health Services Disruption Survey 2020 was conducted by IPSOS via telephone and online surveys in 14 countries. Respondents were individual members of the general population. Data were collected from 15,258 respondents. The survey focused on the level of disruption to the provision of general health services, including visits to medical providers and access to medication.</p> <p>This survey was developed specifically to assess the change in levels of service delivery prior to, and immediately following, the onset of the COVID-19 global pandemic. Data generated from this survey are not intended to be used as an overall estimate of the level of health service delivery.</p> </div> </div> </div> Mon, 12 Dec 2022 12:06:13 -0800 GHDx 492156 at https://ghdx.healthdata.org Russia Longitudinal Monitoring Survey of HSE Longitudinal Data 1994-2015 https://ghdx.healthdata.org/record/russia-longitudinal-monitoring-survey-hse-longitudinal-data-1994-2015 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 1994 - December, 2015</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</a>: </span> Household - Individual - Interview - Longitudinal - Nationally representative </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/howard-w-odum-institute-research-social-science" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Howard W. Odum Institute for Research in Social Science</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p>The Russian Longitudinal Monitoring Survey-HSE (RLMS-HSE) is a household-based longitudinal survey measuring the effects of Russian reforms on households and individuals. Questionnaires collect information on individual health status and dietary intake, household expenditures, utilization of medical services, as well as information about local communities.</p> </div> </div> </div> Wed, 23 Nov 2022 11:30:02 -0800 GHDx 265055 at https://ghdx.healthdata.org Kuwait World Health Survey 2008-2010 https://ghdx.healthdata.org/record/kuwait-world-health-survey-2008-2010 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 2008 - December, 2010</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</a>: </span> Cross-sectional - Household - Individual - Interview - Nationally representative - Subnationally representative </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/ministry-health-kuwait" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Ministry of Health (Kuwait)</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p>The World Health Survey Plus (WHS+) was implemented in the Gulf Cooperation Council (GCC) countries in order to collect comparable data for informing strategic planning, program management, monitoring, and evaluation. The Kuwait World Health Survey 2008-2010 collected socioeconomic, demographic, and health data, particularly related to wellbeing, health care utilization, and risk factors for various diseases.</p> <p>Three questionnaires were used: one for the household; one for individuals; and one for non-national individuals in labor camps, collective families, and domestic workers. A total of 4,389 households were interviewed, including 5,004 individuals in both standard and non-standard households.</p> <p>Measurements included height, weight, waist circumference, and blood pressure. Biochemical measurements were obtained for fasting blood glucose and total cholesterol levels.</p> </div> </div> </div> Fri, 02 Sep 2022 08:49:19 -0700 GHDx 152962 at https://ghdx.healthdata.org Australia Disability, Ageing, and Carers Survey 2012-2013 https://ghdx.healthdata.org/record/australia-disability-ageing-and-carers-survey-2012-2013 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">August, 2012 - March, 2013</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</a>: </span> Cross-sectional - Household - Individual - Interview - Nationally representative - Subnationally representative - Urban-rural representative </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/australian-bureau-statistics" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Australian Bureau of Statistics</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p>The Australia Survey of Disability, Ageing, and Carers (SDAC) 2012-2013 collected detailed information on people with disabilities, people ages 65 and older, and caregivers for older people and people with disabilities.</p> <p>The sample covered people from all states and territories in 27,400 private households, 500 non-private dwellings, and 1,000 care accommodation establishments such as hospitals or nursing homes. A total of 68,802 people for the household component and 10,362 people for the care accommodation component were included in the sample. </p> <p>The questionnaire included topics such as chronic health conditions, help required for people with disabilities, use of aids and equipment, access to computers and the Internet, social inclusion, labor force participation, type of care provided, homelessness, the types of care provided, and the effects of the caring role on everyday life.</p> </div> </div> </div> Tue, 09 Aug 2022 15:35:14 -0700 GHDx 161666 at https://ghdx.healthdata.org China Health and Retirement Longitudinal Study 2015, Wave 3 https://ghdx.healthdata.org/record/china-health-and-retirement-longitudinal-study-2015-wave-3 <div class="field field-name-field-alt-title field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even">中国健康与养⽼追踪调查2015</div> </div> </div><div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 2015 - December, 2015</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</a>: </span> Household - Individual - Interview - Longitudinal </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/national-school-development-peking-university" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">National School of Development, Peking University</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p><span style="line-height: 16.7999992370605px;">The China Health and Retirement Longitudinal Study (CHARLS) began as a pilot survey in 2008, conducted in the provinces of Gansu and Zhejiang. The goal of the survey was to create a public microdatabase that contained comprehensive data on the elderly, their spouses, and their households.</span></p> </div> </div> </div> Mon, 06 Jun 2022 13:25:49 -0700 GHDx 338607 at https://ghdx.healthdata.org Costa Rica Longevity and Healthy Aging Study 2009-2010, Pre-1945 Cohort, Wave 3 https://ghdx.healthdata.org/record/costa-rica-longevity-and-healthy-aging-study-2009-2010-pre-1945-cohort-wave-3 <div class="field field-name-field-alt-title field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even">Costa Rica Estudio de Longevidad y Envejecimiento Saludable (CRELES) 2009</div> </div> </div><div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">February, 2009 - January, 2010</div> </div> </div><span></span><div class="field field-name-field-secondary field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item"> <span><a href="/data-type/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</a>: </span> Individual - Interview - Longitudinal - Nationally representative </div> </div> </div><div class="field field-name-field-provider field-type-taxonomy-term-reference field-label-inline clearfix"> <div class="field-label">Provider&nbsp;</div> <div class="field-items"> <div class="field-item even"><a href="/organizations/university-california-berkeley" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">University of California, Berkeley</a></div> </div> </div> <div class="field field-name-field-summary field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even"><p><span style="line-height: 16px;">The Costa Rican Longevity and Healthy Aging Study (CRELES) is a nationally-representative longitudinal survey of 2,827 Costa Ricans age 60 and older. Topics studied include health status, mental health, living conditions, health behaviors, health care use, social support, and socioeconomic status. Anthropometric measurements and blood tests were also collected.</span></p> </div> </div> </div> Mon, 28 Feb 2022 15:37:43 -0800 GHDx 238046 at https://ghdx.healthdata.org