GHDx: Lesotho Dataset Records https://ghdx.healthdata.org/geography/494/feed?field_keywords_tid=&field_type_tid=All&field_time_value%5Bmin%5D&field_time_value%5Bmax%5D en World Taxation and Price Guide 1994 https://ghdx.healthdata.org/record/world-taxation-and-price-guide-1994 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 1993 - December, 1994</div> </div> </div> <div class="field field-name-field-type field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item even"><a href="/data-type/report" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Report</a></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/truth-tobacco-industry-documents-ucsf-library" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Truth Tobacco Industry Documents, UCSF Library</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>This guide compiles global fiscal information, current at the time of publication, about tobacco (primarily cigarettes, but also cigars and other tobacco products for select countries). Fiscal information covered, for each country, includes retail prices, tax rates, tax burden, trades margins, and government revenue from tobacco for the current or previous year. The guide also includes, for select countries, tobacco revenue for the previous five years, and historical prices and tax rates (years are variable). The information has been collected from publicly available sources: primarily national customs offices, state finance ministries or national treasury offices.</p> </div> </div> </div> Wed, 03 Jan 2024 08:49:50 -0800 GHDx 226390 at https://ghdx.healthdata.org WHO Africa Region Bacterial Antimicrobial Resistance Burden Estimates 2019 https://ghdx.healthdata.org/record/ihme-data/who-region-africa-amr-2019 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 2019 - December, 2019</div> </div> </div> <div class="field field-name-field-type field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item even"><a href="/data-type/estimate" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Estimate</a></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>Researchers at IHME and the University of Oxford estimated deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) associated with and attributable to bacterial antimicrobial resistance (AMR) in 88 pathogen-drug combinations for the WHO Region of Africa and for 35 countries in 2019. Data gathered to inform these estimates included multiple cause of death data, hospital discharges, minimally invasive tissue sampling, systematic literature reviews, and microbiology lab results from hospitals and national and multi-national surveillance systems, totaling 343 million individual records or isolates and 11,361 study-location-years collected. These data informed 8 modelling components which were combined with results from GBD 2019 to estimate AMR burden. Estimates were produced for two counterfactual scenarios: no infection and drug-susceptible infection.</p> </div> </div> </div> Wed, 20 Dec 2023 12:17:08 -0800 GHDx 539882 at https://ghdx.healthdata.org Lesotho Demographic and Health Survey 2014 https://ghdx.healthdata.org/record/lesotho-demographic-and-health-survey-2014 <div class="field field-name-field-alt-title field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even">Lesotho demographic and health survey (LDHS 2014)</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">September, 2014 - December, 2014</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 Lesotho Demographic and Health Survey 2014 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 behaviors, health care access, health care use, and immunization. For the 2014 Lesotho DHS, 7,600 women age 15-49 and 3,300 men age 15-59 were successfully interviewed from 9,402 households. Blood tests were conducted for the presence of anemia and HIV infection in men and women, and for anemia in children age 6-59 months from a subsample of households.</p> </div> </div> </div> Wed, 06 Sep 2023 12:54:08 -0700 GHDx 157058 at https://ghdx.healthdata.org Low- and Middle-Income Country Neonatal, Infant, and Under-5 Mortality Geospatial Estimates 2000-2017 https://ghdx.healthdata.org/record/ihme-data/lmic-under5-mortality-rate-geospatial-estimates-2000-2017 <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, 2017</div> </div> </div> <div class="field field-name-field-type field-type-taxonomy-term-reference field-label-hidden"> <div class="field-items clearfix"> <div class="field-item even"><a href="/data-type/estimate" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Estimate</a></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>Annual estimates were produced for mortality probability and death counts in three age groups – neonates (0-28 days old), infants (under-1 year old), and under-5 (0-5 years old) – at the 5x5 km-level in 99 low- and middle-income countries (LMICs) between 2000-2017. These estimates were produced using data on child mortality and geographical locations from censuses and several household survey series. Survey sources used include the Demographic and Health Survey (DHS) and UNICEF Multiple Indicator Cluster Survey (MICS) series, and other country‐specific surveys.</p> <p>This dataset includes the following:</p> <ul> <li>GeoTIFF raster files for pixel-level estimates of mortality probability and death counts in 3 age bins</li> <li>CSV files of aggregated mortality probability and death count estimates for each country at the zero, first, and second administrative divisions, by age group</li> <li>Code files used to generate the estimates</li> </ul> </div> </div> </div> Fri, 23 Sep 2022 09:04:32 -0700 GHDx 413180 at https://ghdx.healthdata.org Africa Under-5 Lower Respiratory Infection Incidence, Prevalence, and Mortality Geospatial Estimates 2000-2017 https://ghdx.healthdata.org/record/ihme-data/africa-under-5-lri-incidence-prevalence-mortality-geospatial-estimates-2000-2017 <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, 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/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>Estimates were produced for lower respiratory infection (LRI) incidence, prevalence, and mortality among children under 5 at the 5x5 km-level in 52 countries in Africa between 2000-2017. These estimates were produced using data extracted from 191 household surveys that had questions about the prevalence of cough with difficulty breathing among children under 5, and allowed for subnational geolocation. The surveys include the Demographic and Health Survey (DHS), Multiple Indicator Cluster Survey (MICS), World Bank, and other country‐specific surveys. Collectively, they provided 56,628 total data points, corresponding to 53,592 survey clusters and 3,036 subnational polygon boundaries.</p> <p>This dataset includes the following:</p> <ul> <li>GeoTIFF raster files for pixel-level estimates of LRI incidence, prevalence, and mortality</li> <li>CSV files of aggregated estimates for each country at the zero, first, and second administrative divisions</li> <li>Code files used to generate the estimates</li> </ul> </div> </div> </div> Fri, 23 Sep 2022 09:04:32 -0700 GHDx 417555 at https://ghdx.healthdata.org Sub-Saharan Africa Male Circumcision Geospatial Estimates 2000-2017 https://ghdx.healthdata.org/record/ihme-data/sub-saharan-africa-male-circumcision-geospatial-estimates-2000-2017 <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, 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/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>Annual estimates were produced for adult male circumcision (MC) prevalence and the number of circumcised and uncircumcised males ages 15-49 at the 5x5 km-level for 38 countries in sub-Saharan Africa between 2000 and 2017. These estimates were produced using a geo-positioned dataset created from 109 household surveys. Survey sources used include the Demographic and Health Survey (DHS), AIDS Indicator Survey (AIS), Multiple Indicator Cluster Survey (MICS), Core Welfare Indicators Questionnaire Survey (CWIQ), Population-based HIV Impact Assessment Survey (PHIA), and other country‐specific surveys.</p> <p>This dataset includes the following:</p> <ul> <li>GeoTIFF raster files for pixel-level estimates of male circumcision (MC) prevalence and the number of circumcised and uncircumcised males ages 15-49</li> <li>CSV files of aggregated circumcision estimates for each country at zero, first and second administrative divisions</li> <li>Code files used to generate the estimates</li> </ul> </div> </div> </div> Fri, 23 Sep 2022 09:04:32 -0700 GHDx 448408 at https://ghdx.healthdata.org Africa Exclusive Breastfeeding Prevalence Geospatial Estimates 2000-2017 https://ghdx.healthdata.org/record/ihme-data/africa-exclusive-breastfeeding-prevalence-geospatial-estimates-2000-2017 <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, 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/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>Estimates were produced for exclusive breastfeeding (EBF) prevalence among infants under 6 months of age at the 5x5 km-level in 49 countries in Africa between 2000-2017. These estimates were produced using data extracted from 188 household surveys that had complete records of questions relating to infant feeding and geographical information. The surveys include the Demographic and Health Survey (DHS), Multiple Indicator Cluster Survey (MICS), and country‐specific and other multinational surveys.</p> <p>This dataset includes the following:</p> <ul> <li>GeoTIFF raster files for pixel-level estimates of EBF prevalence</li> <li>CSV files of aggregated estimates for each country at the zero, first, and second administrative divisions</li> <li>Code files used to generate the estimates</li> </ul> </div> </div> </div> Fri, 23 Sep 2022 09:04:32 -0700 GHDx 400957 at https://ghdx.healthdata.org