2671 research outputs found
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Rapid Assessment of Avoidable Blindness Report: Ethiopia, Amhara, West Gojam & Bahir Dar (2022)
A report including output of standardised analysis of vision and eye health survey data including tables of vision impairment prevalence and service coverage estimates
IMPLEMENT-CVD Phase 1: Health system factors affecting implementation of fixed-dose combination therapy for hypertension in Kenya
2025 The Gambia FABLE calculator UP30 v1
The FABLE Calculator (FABLE-C) is an open tool created in 2018 for the FABLE initiative (fableconsortium.org). Since its launch, it has been developed, regularly updated and improved through the release of update packages by the FABLE Secretariat in collaboration with members of the FABLE Consortium (see documentation on Github). This version of the FABLE Calculator for The Gambia builds on a version created by the FABLE Secretariat in 2019 including all update packages until 30 and pre-filled with data for The Gambia from available global databases. This version includes improvements made by the authors regarding scenarios for climate change impacts on crop yields under adaptation strategies (optimised planting dates, climate-resilient cultivars, high-yielding cultivars, increased fertilizer use) based on a systematic review (Carr et al 2022 Environ. Res. Lett. 17 053001). All the update packages which have been released by the FABLE Secretariat until update package 30 have been implemented by the authors. The uploaded version of the calculator has been used in the following publication: Addressing future food demand in The Gambia: can increased crop productivity and climate change adaptation close the supply-demand gap
Replication Data for: Active vaccine safety surveillance in sub-Saharan Africa: Experience from a prospective cohort event monitoring study of COVID-19 vaccines in Kenya
This is a replication dataset for the manuscript titled: "Active vaccine safety surveillance in sub-Saharan Africa: Experience from a prospective cohort event monitoring study of COVID-19 vaccines in Kenya." This study conducted in Kilifi county, Kenya involved active safety surveillance of COVID-19 vaccines administered routinely at the participating health facilities. The dataset contains suspected adverse events associated with the COVID-19 vaccines as well as sociodemographic and clinical information of the participants
Questionnaire for pig producers in RISNIP Laos project
Online questionnaire to survey farmers in Laos, southeast Asia
Data for "Gaps and Opportunities for Economics and Data Systems to Support Priority Setting for Climate-Sensitive Infectious Diseases in Sub-Saharan Africa: A Rapid Scoping Review"
Description: Background: Climate change alters risks associated with climate-sensitive infectious diseases (CSIDs) with pandemic potential. This poses additional threats to already vulnerable populations, further amplified by intersecting social factors, such as gender and socioeconomic status. Currently, critical evidence gaps and inadequate institutional and governance mechanisms impact on the ability for African States to prevent, detect and respond to CSIDs. The aim of this study was to explore the role of economics and data systems to support priority setting for CSID preparedness in sub-Saharan Africa.
Methodology: We conducted a rapid scoping review to identify existing knowledge and gaps relevant to economics and data systems. We performed a literature search across six bibliographic databases in November 2023. We adopted a list of 14 target pathogens from those identified by the World Health Organization as Public Health Emergencies of International Concern or Research & Development Blueprint Pathogens and compared these to a database of CSIDs to identify relevant inclusion criteria. We synthesised extracted data using bibliometric analysis, thematic topic categorisation, and narrative synthesis to identify research needs encompassing evidence gaps, limitations, and constraints for priority setting.
Results: We identified 68 relevant studies. While African author involvement from 2010 – 2023 has been increasing, there were few studies led by senior authors from African institutions. Data system studies (n = 50) showed a large degree of heterogeneity, indicating a lack of clearly defined standards for data systems related to pandemic preparedness. Economic studies (n = 18) on CSIDs were primarily focused on COVID-19 and Ebola and originated from South Africa. Both data system and economic studies identified limited data sharing across human, animal, and environmental sectors and showed a notable absence of gender sensitivity analyses. These important gaps underscore opportunities to support priority setting and decision-making for pandemic preparedness, ultimately leading to more equitable health outcomes
migariane/eltmle
eltmle is a Stata program implementing the targeted maximum likelihood estimation for the ATE for a binary or continuous outcome and binary treatment. Future implementations will offer more general settings. eltmle includes the use of a "Super Learner" called from the SuperLearner package v.2.0-21 (Polley E., et al. 2011). The Super-Learner uses V-fold cross-validation (10-fold by default) to assess the performance of prediction regarding the potential outcomes and the propensity score as weighted averages of a set of machine learning algorithms. We used the default SuperLearner algorithms implemented in the base installation of the tmle-R package v.1.2.0-5 (Susan G. and Van der Laan M., 2017), which included the following: i) stepwise selection, ii) generalized linear modeling (glm), iii) a glm variant that included second order polynomials and two-by-two interactions of the main terms included in the model
epinowcast/baselinenowcast-paper
This repository contains the code to generate the results of analysing the nowcasts produced by the baselinenowcast R package applied to case studies on German COVID-19 data and norovirus data from UKHSA. Please see the baselinenowcast package's GitHub repository for a mathematical description of the method and details on how to install the package and use it to generate nowcasts
Table showing % percentage deviation and changes in absolute values from baseline at different time intervals up to 24hrs.
Dataset published to support the publication, "EDTA tubes are suitable for insulin and C-peptide measurement in resource-limited settings and can be stored at room temperature for up to 24 hours". Data outlines percentage deviation and changes in absolute values from baseline at different time intervals up to 24hrs