GHDx: Rwanda Dataset Records https://ghdx.healthdata.org/geography/542/feed?field_keywords_tid=&field_type_tid=All&field_time_value%5Bmin%5D&field_time_value%5Bmax%5D en Control of Epidemic Meningococcal Disease, WHO Practical Guidelines, 2nd Edition https://ghdx.healthdata.org/record/control-epidemic-meningococcal-disease-who-practical-guidelines-2nd-edition <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">January, 1970 - December, 1996</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/administrative-data" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Administrative data</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/world-health-organization-who" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">World Health Organization (WHO)</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>These guidelines provide information on the historical epidemiology of meningitis (including data on epidemics and case numbers for select regions), risk factors for epidemics, and variations of the disease. Chapter two covers diagnosing, treating, and preventing the disease, while chapters three and four discuss how to detect an epidemic and respond to it. Chapter five is on interepidemic prophylaxis such as routine vaccination. The annexes contain detailed information on testing, vaccines, and supplies for field investigations and vaccinations, among other practical information on meningitis control.</p> </div> </div> </div> Wed, 03 Jan 2024 08:43:27 -0800 GHDx 90738 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 Rwanda Demographic and Health Survey 2014-2015 https://ghdx.healthdata.org/record/rwanda-demographic-and-health-survey-2014-2015 <div class="field field-name-field-time field-type-datetime field-label-hidden"> <div class="field-items"> <div class="field-item even">November, 2014 - April, 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> 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 Rwanda Demographic and Health Survey (DHS) 2014-2015 is part of Phase 7 of the DHS series, a comprehensive, nationally representative household survey series. For the 2014-2105 Rwanda DHS, 13,497 women ages 15-49 and 5,585 men ages 15-59 were successfully interviewed from 12,793 households. In the subsample of households not select for the male survey, women and children ages 6 months to 5 years were tested for anemia and malaria, and height and weight measurements were taken from women and children 0-5 years. In the subsample of respondents not selected to receive the male questionnaire, blood tests were done for HIV and anthropometric measurements were taken from men. In two separate 50% subsamples of households selected for the male survey, the domestic violence module for men and the domestic violence for women, respectively, were implemented. Blood samples were collected for HIV testing from children ages 0-14 in 1/3 of the households selected for the male survey.</p> </div> </div> </div> Wed, 06 Sep 2023 12:55:17 -0700 GHDx 157063 at https://ghdx.healthdata.org Rwanda Special Demographic and Health Survey 2011 https://ghdx.healthdata.org/record/rwanda-special-demographic-and-health-survey-2011 <div class="field field-name-field-alt-title field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even">Estimating the Size of Populations through a Household Survey (ESPHS)</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">June, 2011 - August, 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/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</a>: </span> Cross-sectional - Household - Individual - Interview - 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/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>This Special DHS used a limited version of the standard DHS in order to test two methods, the network scale-up method and the proxy respondent method, used for estimating the size of populations at higher risk for HIV. The survey also used an extension of the network scale-up method, DANSUM, to enable the calculation of crude death rates for adults; results are presented in the report.</p> <p>The survey used a two-stage sample design with a representative sample of 2,125 households.  All men and women, ages 15 and older, were eligible for the individual interview.</p> </div> </div> </div> Mon, 12 Jun 2023 09:29:52 -0700 GHDx 56426 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 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 Africa and Yemen Onchocerciasis Prevalence Geospatial Estimates 2000-2018 https://ghdx.healthdata.org/record/ihme-data/africa-and-yemen-onchocerciasis-prevalence-geospatial-estimates-2000-2018 <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, 2018</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 onchocerciasis all-age microfiladermia (positive skin snip) prevalence at the 5x5 km-level in 34 endemic countries across Africa, plus Yemen, annually between 2000 and 2018. These estimates were produced using reported data on onchocerciasis prevalence from endemicity mapping surveys, surveillance during elimination programs, and other sources.</p> <p>This dataset includes the following:</p> <ul> <li>GeoTIFF raster files for pixel-level estimates of onchocerciasis prevalence</li> <li>CSV files of aggregated estimates of onchocerciasis prevalence for each country at the national level, and for first and second administrative divisions</li> <li>Code files used to generate the estimates</li> </ul> </div> </div> </div> Wed, 07 Sep 2022 15:41:01 -0700 GHDx 454130 at https://ghdx.healthdata.org Rwanda Service Provision Assessment 2007 https://ghdx.healthdata.org/record/rwanda-service-provision-assessment-2007 <div class="field field-name-field-alt-title field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even">Enquête sur la Prestation des Services de Soins de Santé 2007</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">June, 2007 - September, 2007</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 - Health facility - Individual - Interview </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 Rwanda Service Provision Assessment (SPA) 2007 is part of the Demographic and Health Survey program phase 5 (DHS5). The survey was designed to complement the <a href="//ghdx.healthdata.org/record/rwanda-demographic-and-health-survey-2005" target="_blank">2005 Rwanda Demographic and Health Survey.</a> For the 2007 Rwanda SPA, 420 health facilities were successfully surveyed. Facilities surveyed included hospitals, health centers and polyclinics, dispensaries, health posts, and clinics offering HIV/AIDS-related services. Targeted areas of assessment were facility infrastructure, resources and services for family planning, sexually transmitted infections, HIV/AIDS, malaria, tuberculosis, child health, and maternal health. Data were obtained through interviews with health care providers and clients, and observations of provider and client interactions.</p> </div> </div> </div> Wed, 15 Sep 2021 10:55:03 -0700 GHDx 56343 at https://ghdx.healthdata.org