2671 research outputs found
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London School of Hygiene and Tropical Medicine Activity File
No full textThe London School of Hygiene & Tropical Medicine activity file submission to the International Aid Transparency Initiative (IATI) Registry
Data set and cost categories
No full textBACKGROUND: Child mortality in Nigeria, significantly affected by malaria and malnutrition, remains a public health concern in the country. Seasonal Malaria Chemoprevention (SMC) and Vitamin A supplementation (VAS) are effective interventions that can be delivered through integrated health campaigns to reduce this mortality. This study assesses the cost implications of integrating these two interventions among under-5 children in Northeast Nigeria. METHODS: A cost analysis compared standalone SMC (Cycle 1 in July 2021) with SMC-VAS integrated campaign (Cycle 4 in October 2023) in two Local Government Areas (LGAs) in Bauchi State. The number of children reached by the SMC-only campaign was 168,820 and for the SMC + Vit A campaign, the number was 170,681. Data collection utilized a mixed-methods approach, drawing from primary and secondary sources, including programmatic, financial, and coverage records. Costs were categorized into distribution, Sulphadoxine-Pyrimethamine plus Amodaiquine (SPAQ) for SMC, Vitamin A, training, supplies, meetings, labor, supervision, and social mobilization costs. Sensitivity analyses evaluated the effect of a 10% fluctuation in the costs of distribution, labor, SPAQ, and supplies on the cost per child. RESULTS: The total cost for the SMC standalone campaign was US186,426. Distribution and drug costs were the largest contributors in the integrated and SMC-only campaign. The SMC-only cost per child was 1.18 when eligible children received both SMC and VAS. The integration of VAS into the SMC campaign cycle incurred an additional US186,426 – US0.24 per child, a modest increment considering the potential health benefits. The results support the feasibility of this integration, in terms of cost, to combat child mortality from malaria and malnutrition in Nigeria. Further research is recommended to explore the cost-effectiveness of this integrated distribution model
hyolimkang/CHIK_VIM
No full textA mathematical modelling project to estimate the impact of chikungunya vaccines in Brazil using age-structured transmission models and outbreak scenarios
Rapid Assessment of Avoidable Blindness Report: Democratic Republic of Congo, Bandundu (2023)
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
The effectiveness of heat prevention plans in reducing heat-related mortality across Europe
No full textThis repository contains the full reproducible R code pipeline for the study: "The effectiveness of heat prevention plans in reducing heat-related mortality across Europe.
Assessing community vulnerability to reduced vaccine impact in Uganda and Kenya: A spatial data analysis
No full textExcel spreadsheet with data on immunisation performance in Uganda per district for measles, DPT1 and DPT3 vaccines
klebgenomics/Kaptive
No full textKaptive reports information about surface polysaccharide loci for Klebsiella pneumoniae species complex and Acinetobacter baumannii genome assemblies
Data from: Health services intervention integrating HTN and HIV care improves long-term blood pressure control among people living with HIV in Uganda
No full textData to support the analyses conducted in “Health services intervention integrating HTN and HIV care improves long-term blood pressure control among people living with HIV in Uganda” by Dr. Okello et al. The dataset contains the sex, age group, health center level, and hypertension stage over time (0, 3, 6, 9, 12 months) of 1200 persons with HIV from Uganda
Developing an innovation and enterprise framework for translating UK-driven global health research into commercially viable interventions: the FLIGHT study protocol
No full textSupporting files produced for the FLIGHT study. These include a survey questionnaire, baseline assessment interview guide, focus group interview guide, participant information sheet, and consent form
R Scripts for Analysis of food-group level household and individual dietary data
No full textThis R script provides a harmonized workflow to calculate and visualize individual- and household-level food group consumption from dietary datasets. It includes tools for: (1) Calculating consumption of specific food groups (e.g., cereals, vegetables, milk, meat, fruit) from both individual-level 24-hour recalls and household survey data; (2) Estimating consumption in adult female equivalents (AFE); and (3) Summarizing median intake and interquartile ranges by education level and wealth quintile across multiple datasets. It is tailored for dietary analysis in low- and middle-income country settings and supports comparisons across survey sources (e.g., 24hR, household surveys, and national-level data)