GHDx: Djibouti Dataset Records https://ghdx.healthdata.org/geography/444/feed?field_keywords_tid=&field_type_tid=All&field_time_value%5Bmin%5D&field_time_value%5Bmax%5D en WHO Global Health Observatory - Population Living in Trachoma Endemic Areas https://ghdx.healthdata.org/record/who-global-health-observatory-population-living-trachoma-endemic-areas <div class="field field-name-field-alt-title field-type-text field-label-hidden"> <div class="field-items"> <div class="field-item even">Population in areas that warrant treatment with antibiotics, facial cleanliness and environmental improvement for elimination of trachoma as a public health problem</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, 2005 - present</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/survey" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Survey</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> Wed, 20 Mar 2024 15:43:57 -0700 GHDx 260507 at https://ghdx.healthdata.org 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 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 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