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473 results for “sub-saharan Africa”
FIGURE 12 in Phytoseiid mites of the tribe Typhlodromini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 12. Typhlodromus (Anthoseius) crassus Van der Merwe: Female—A. Dorsal shield; B. Ventral surface; C. Chelicera; D. Spermatheca; E. Leg IV; Male—F. Spermatodactyl; G. Ventrianal shield.
FIGURE 3 in Phytoseiid mites of the tribe Typhlodromini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 3. Typhlodromus (Anthoseius) argyronamus Ueckermann & Loots (female): A. Dorsal shield; B.Ventral surface; C. Chelicera; D. Spermatheca; E. Leg IV.
FIGURE 5 in Phytoseiid mites of the tribe Typhlodromini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 5. Typhlodromus (Anthoseius) astibus Ueckermann & Loots (female): A. Dorsal shield; B. Ventral surface; C. Chelicera; D. Spermatheca; E. Leg IV.
FIGURE 16 in Phytoseiid mites of the tribe Typhlodromini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 16. Typhlodromus (Anthoseius) elaeis Zannou, Moraes & Oliveira, n. sp. (female): A. Dorsal shield; B. Ventral surface; C. Spermatheca; D. Leg IV.
FIGURE 1 in Phytoseiid mites of the tribe Typhlodromini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 1. Typhlodromus (Anthoseius) acaciae Schultz: Female—A. Dorsal shield; B. Ventral surface; C. Chelicera; D. Spermatheca; E. Leg IV; Male—F. Spermatodactyl; G. Ventrianal shield.
A flexible model to reconstruct education-specific fertility rates: Sub-saharan Africa case study
<p><strong>A flexible model to reconstruct education-specific fertility rates: Sub-saharan Africa case study</strong></p> <p>The fertility rates are consistent with the United Nation World Population Prospects (UN WPP) 2022 fertility rates.</p> <p>The Bayesian model developed to reconstruct the fertility rates using Demographic and Health Surveys and the UN WPP is published in a <a href="https://epub.oeaw.ac.at/0xc1aa5576_0x003e65e0.pdf">working paper</a>. </p> <p><strong>Abstract</strong></p> <p>The future world population growth and size will be largely determined by the pace of fertility decline in sub-Saharan Africa. Correct estimates of education-specific fertility rates are crucial for projecting the future population. Yet, consistent cross-country comparable estimates of education-specific fertility for sub-Saharan African countries are still lacking. We propose a flexible Bayesian hierarchical model to reconstruct education-specific fertility rates by using the patchy Demographic and Health Surveys (DHS) data and the United Nations’ (UN) reliable estimates of total fertility rates (TFR). Our model produces estimates that match the UN TFR to different extents (in other words, estimates of varying levels of consistency with the UN). We present three model specifications: consistent but not identical with the UN, fully-consistent (nearly identical) with the UN, and consistent with the DHS. Further, we provide a full time series of education-specific TFR estimates covering five-year periods between 1980 and 2014 for 36 sub-Saharan African countries. The results show that the DHS-consistent estimates are usually higher than the UN-fully-consistent ones. The differences between the three model estimates vary substantially in size across countries, yielding 1980-2014 fertility trends that differ from each other mostly in level only but in some cases also in direction.</p> <p><strong>Funding</strong></p> <p>The data set are part of the <a href="https://www.oeaw.ac.at/vid/research/research-projects/bayesedu">BayesEdu Project </a>at Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna) funded from the “Innovation Fund Research, Science and Society” by the Austrian Academy of Sciences (ÖAW).</p> <p>We provide education-specific total fertility rates (ESTFR) from three model specifications: (1) estimated TFR consistent but not identical with the TFR estimated by the UN (“Main model (UN-consistent)”; (2) estimated TFR fully consistent (nearly identical) with the TFR estimated by the UN ( “UN-fully -consistent”, and (3) estimated TFR consistent only with the TFR estimated by the DHS ( “DHS-consistent”).</p> <p>For education- and age-specific fertility rates that are UN-fully consistent, please see https://doi.org/10.5281/zenodo.8182960</p> <p><strong>Variables</strong></p> <p>Country: Country names</p> <p>Education: Four education levels, No Education, Primary Education, Secondary Education and Higher Education.</p> <p>Year: Five-year periods between 1980 and 2015.</p> <p>ESTFR: Median education-specific total fertility rate estimate </p> <p>sd: Standard deviation</p> <p>Upp50: 50% Upper Credible Interval</p> <p>Lwr50: 50% Lower Credible Interval</p> <p>Upp80: 80% Upper Credible Interval</p> <p>Lwr80: 80% Lower Credible Interval</p> <p>Model: Three model specifications as explained above and in the working paper. DHS-consistent, Main model (UN-consistent) and UN-fully consistent.</p> <p>List of countries:</p> <p>Angola, Benin, Burkina Faso, Burundi, Cote D'Ivoire, Cameroon, Central African Republic, Chad, Comoros, Congo, Democratic Republic of Congo, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mozambique, Namibia, Niger, Nigeria, Rwanda, Senegal, Sierra Leone, South Africa, Tanzania, Togo, Uganda, Zambia, Zimbabwe</p> <p> </p>
Millennium Villages Project in Sub-Saharan Africa
ClinicalTrials.gov study NCT01125618. IPD Sharing: UNDECIDED. Countries: 10. Publications: 1.
Primary Prevention of Stroke in Children With SCD in Sub-Saharan Africa II
ClinicalTrials.gov study NCT02560935. IPD Sharing: NO. Countries: 1. Publications: 5.
The Clinical Influence of Developing a Sustainable Cardiac Surgery Service to Reduce the Burden of Rheumatic Heart Disease in Sub-Saharan Africa
ClinicalTrials.gov study NCT04556188. IPD Sharing: UNDECIDED. Countries: 2. Publications: 1.
Identifying Most Effective Treatment Strategies to Control Arterial Hypertension in Sub-Saharan Africa
ClinicalTrials.gov study NCT04129840. IPD Sharing: Not stated. Countries: 3. Publications: 2.
Atopic Dermatitis: Sub-Saharan Africa vs. Central Europe
ClinicalTrials.gov study NCT05363904. IPD Sharing: NO. Countries: 3. Publications: 1.
A Study Assessing the Safety, Efficacy, and Impact of GlaxoSmithKline Biologicals' RTS, S/AS01E Malaria Vaccine in Young Children Across Sub-Saharan Africa
ClinicalTrials.gov study NCT03855995. IPD Sharing: NO. Countries: 3. Publications: 2.
Prevalence of Chronic Kidney Disease (CKD) and Risk Factors in Sub-Saharan Africa
ClinicalTrials.gov study NCT03458338. IPD Sharing: NO. Countries: 1. Publications: 1.
Warfarin Anticoagulation in Patients in Sub-Saharan Africa
ClinicalTrials.gov study NCT03512080. IPD Sharing: UNDECIDED. Countries: 2. Publications: 9.
Effects of COVID-19 on Endothelium in HIV-Positive Patients in Sub-Saharan Africa
ClinicalTrials.gov study NCT04709302. IPD Sharing: UNDECIDED. Countries: 2. Publications: 1.
GARDASIL™ Study in Healthy Females Between 9 and 26 Years of Age in Sub-Saharan Africa (V501-046)
ClinicalTrials.gov study NCT01245764. IPD Sharing: YES. Countries: 0. Publications: 1.
Efficacy, Safety and Immunogenicity Evaluation of MTBVAC in Newborns in Sub-Saharan Africa
ClinicalTrials.gov study NCT04975178. IPD Sharing: NO. Countries: 1. Publications: 21.
A Survey of Hospitalizations in Cardiology Units in Sub-Saharan Africa
ClinicalTrials.gov study NCT03231449. IPD Sharing: NO. Countries: 13. Publications: 6.
CryptoART Study: Decreasing Mortality Associated With Initiation of Antiretroviral Therapy in Sub-Saharan Africa
ClinicalTrials.gov study NCT02434172. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Community Mobilization, Mobile Testing, Same-Day Results, and Post-Test Support for HIV in Sub-Saharan Africa and Thailand
ClinicalTrials.gov study NCT00203749. IPD Sharing: Not stated. Countries: 4. Publications: 4.
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