2671 research outputs found
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nicolacfoster/dcea.ana: ASCENT DCEA
No full textR scripts to reproduce the ASCENT DCEA analysis, as outlined in "Equity, cost and disability adjusted life years of tuberculosis treatment supported by digital adherence technologies and differentiated care in Ethiopia: a trial-based distributional cost-effectiveness analysis"
NHIF-contracted outpatient facility choice data
No full textThis data was part of Jacob Kazungu’s PhD work. It contains data from a Discrete Choice Experiment (DCE) conducted among NHIF members to understand their preferences and trade-offs for the attributes of NHIF contracted outpatient providers in Kenya. It also collected data on the attributes for those who had already selected a facility
TnSEQ analysis measuring fitness costs of insertions in the M. bovis AF2122/97 genome under oxidative stress
No full textData files for menadione-treated and untreated Tn-seq libraries from M. bovis AF2122/97. The files will be made publicly available on July 31, 2026
Presence and absence of records of dengue cases, yellow fever cases, and vector occurrences on a worldwide 7,774-km² hexagonal grid
No full textDataset containing the presence and absence of records of dengue cases, of yellow fever cases, and of vector occurrences, on a worldwide spatial grid of 7,774-km2 hexagons (https://zenodo.org/records/10028166), together with the sources for this information. These data were used to produce models of global dengue and yellow fever transmission risk (https://www.nature.com/articles/s42003-022-03492-9 and https://doi.org/10.1371/journal.pntd.0009496) that, in “Climate change is aggravating dengue and yellow fever transmission risk”, are projected to future climate change scenarios.
The dataset is composed of three Excel files in which all the information related to the worldwide distribution of records of dengue cases, yellow fever cases and vectors, at the hexagon level, has been compiled: 1) dengue records and sources (records_and_sources_dengue.xls), 2) yellow fever records and sources (records_and_sources_yellow_fever.xls), and 3) vector records and sources (records_and_sources_vectors.xls).
In each of the Excel files we found: the field identifier of each hexagon (‘HEX10_ID’), the geographical coordinates of the centroids of the hexagons (‘Latitude’ and ‘Longitude’), the presence and absence of disease records and of vector occurrences (‘Dengue’, ‘Yellow_Fever’, ‘Aedes_aegypti’, ‘Aedes_albopictus’, ‘Aedes_vittatus’, ‘Aedes_africanus’, ‘Aedes_luteocephalus’, ‘Aedes_niveus’, ‘Sabethes_chloropterus’, ‘Haemagogus_janthinomys’, ‘Haemagogus_leucocelaenus’), and the sources of this information represented by the source title (‘Title’) and by a web link (‘Source’)
A systematic review of behaviour change interventions to improve maternal health outcomes in sub-Saharan Africa: Quality assessment
No full textQuality assessment data for: "A systematic review of behaviour change interventions to improve maternal health outcomes in sub-Saharan Africa"
Net Zero Stocktake 2024
No full textThe underlying dataset for the Net Zero Tracker's Net Zero Stocktake Report 2024
Investigating the relationship between corruption and health outcomes in Central and Eastern Europe
No full textExploratory analysis of the impact of corruption on health outcomes in 12 CEE countries during the period 2012-2020, using fixed effects panel data analysis. Variables were selected from various databases and combined into one dataset. Methodology: Our conceptual model seeks to ascertain any association between corruption and two core health system functions, improving health (incorporating access and quality) and fair financing. We capture access and quality using Eurostat data on avoidable mortality. We capture fair financing using data on out-of-pocket (OOP) expenses, sourced from the World Bank’s World Development Indicators. Given that there is no single pathway between corruption and health outcomes, we chose to explore two indicators which are reflective of a well-functioning and equitable healthcare system. OOP payments, which includes informal payments, are indicative of catastrophic spending and therefore may be on the pathway as such payments may limit access to essential and timely health services needed to retain good health. Similarly, avoidable mortality is indicative of a responsive and efficient healthcare system and may indicate the scope for health improvement if corrupt practices were curbed. (2024-06-24
Rapid Assessment of Avoidable Blindness Report: Nepal, Koshi Province (2020)
No full textA report including output of standardised analysis of vision and eye health survey data including tables of vision impairment prevalence and service coverage estimates
Dataset: NECTAR4 Randomized Controlled Trial
No full textNECTAR4 was a five-arm trial comparing artesunate-amodiaquine and artemether-lumefantrine-amodiaquine with or without single-dose primaquine to reduce P. falciparum transmission in Mali
WCSCourses/Polygenic_Risk_Scores: 2024 Africa Iteration
No full textThis release is for the 2024 iteration of the Polygenic Risk Scores course. Organised by Wellcome Connecting Science, held at the African Centre of Excellence in Bioinformatics, Makerere University, Kampala, Uganda