Dataset Information

Measuring health science research and development in Africa: mapping the available data.

ABSTRACT: In recent years there have been calls to strengthen health sciences research capacity in African countries. This capacity can contribute to improvements in health, social welfare and poverty reduction through domestic application of research findings; it is increasingly seen as critical to pandemic preparedness and response. Developing research infrastructure and performance may reduce national economies' reliance on primary commodity and agricultural production, as countries strive to develop knowledge-based economies to help drive macroeconomic growth. Yet efforts to date to understand health sciences research capacity are limited to output metrics of journal citations and publications, failing to reflect the complexity of the health sciences research landscape in many settings. We map and assess current capacity for health sciences research across all 54 countries of Africa by collecting a range of available data. This included structural indicators (research institutions and research funding), process indicators (clinical trial infrastructures, intellectual property rights and regulatory capacities) and output indicators (publications and citations). While there are some countries which perform well across the range of indicators used, for most countries the results are varied-suggesting high relative performance in some indicators, but lower in others. Missing data for key measures of capacity or performance is also a key concern. Taken as a whole, existing data suggest a nuanced view of the current health sciences research landscape on the African continent. Mapping existing data may enable governments and international organizations to identify where gaps in health sciences research capacity lie, particularly in comparison to other countries in the region. It also highlights gaps where more data are needed. These data can help to inform investment priorities and future system needs.

SUBMITTER: Wenham C

PROVIDER: S-EPMC8665309 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Modern plant phenotyping, often using non-invasive technologies and digital technologies, is an emerging science and provides essential information on how genetics, epigenetics, environmental pressures, and crop management (farming) can guide selection toward productive plants suitable for their environment. Thus, phenotyping is at the forefront of future plant breeding. Bibliometric science mapping is a quantitative method that analyzes scientific publications throughout the terms present in their title, abstract, and keywords. The aim of this mapping exercise is to observe trends and identify research opportunities. This allows us to analyze the evolution of phenotyping research and to predict emerging topics of this discipline. A total of 1,827 scientific publications fitted our search method over the last 20 years. During the period 1997-2006, the total number of publications was only around 6.1%. The number of publications increased more steeply after 2010, boosted by the overcoming of technological bias and by a set of key developments at hard and software level (image analysis and data storage management, automation and robotics). Cluster analysis evidenced three main groups linked to genetics, physiology, and imaging. Mainly the model plant "Arabidopsis thaliana" and the crops "rice" and "triticum" species were investigated in the literature. The last two species were studied when addressing "plant breeding," and "genomic selection." However, currently the trend goes toward a higher diversity of phenotyped crops and research in the field. The application of plant phenotyping in the field is still under rapid development and this application has strong linkages with precision agriculture. EU co-authors were involved in 41.8% of the analyzed papers, followed by USA (15.4%), Australia (6.0%), and India (5.6%). Within the EU, coauthors were mainly affiliated in Germany (35.8%), France (23.7%), and United Kingdom (18.4%). Time seems right for new opportunities to incentivize research on more crops, in real field conditions, and to spread knowledge toward more countries, including emerging economies. Science mapping offers the possibility to get insights into a wide amount of bibliographic information, making them more manageable, attractive, and easy to serve science policy makers, stakeholders, and research managers.

Project description:Built environment (BE) data in geographic information system (GIS) format are increasingly available from public agencies and private providers. These data can provide objective, low-cost BE data over large regions and are often used in public health research and surveillance. Yet challenges exist in repurposing GIS data for health research. The GIS data do not always capture desired constructs; the data can be of varying quality and completeness; and the data definitions, structures, and spatial representations are often inconsistent across sources. Using the Small Town Walkability study as an illustration, we describe (a) the range of BE characteristics measurable in a GIS that may be associated with active living, (b) the availability of these data across nine U.S. small towns, (c) inconsistencies in the GIS BE data that were available, and (d) strategies for developing accurate, complete, and consistent GIS BE data appropriate for research. Based on a conceptual framework and existing literature, objectively measurable characteristics of the BE potentially related to active living were classified under nine domains: generalized land uses, morphology, density, destinations, transportation system, traffic conditions, neighborhood behavioral conditions, economic environment, and regional location. At least some secondary GIS data were available across all nine towns for seven of the nine BE domains. Data representing high-resolution or behavioral aspects of the BE were often not available. Available GIS BE data - especially tax parcel data - often contained varying attributes and levels of detail across sources. When GIS BE data were available from multiple sources, the accuracy, completeness, and consistency of the data could be reasonable ensured for use in research. But this required careful attention to the definition and spatial representation of the BE characteristic of interest. Manipulation of the secondary source data was often required, which was facilitated through protocols.

Project description:INTRODUCTION:Previous studies have attempted to review the vast body of evidence on adolescent sexual and reproductive health (ASRH), but none has focused on a complete mapping and synthesis of the body of inquiry and evidence on ASRH in sub-Saharan Africa (SSA). Such a comprehensive scoping is needed, however, to offer direction to policy, programming and future research. We aim to undertake a scoping review of studies on ASRH in SSA to capture the landscape of extant research and findings and identify gaps for future research. METHODS AND ANALYSIS:This protocol is designed using the framework for scoping reviews developed by the Joanna Briggs Institute. We will include English and French language peer-reviewed publications and grey literature on ASRH (aged 10-19) in SSA published between January 2010 and June 2019. A three-step search strategy involving an initial search of three databases to refine the keywords, a full search of all databases and screening of references of previous review studies for relevant articles missing from our full search will be employed. We will search AJOL, JSTOR, HINARI, Scopus, Science Direct, Google Scholar and the websites for the WHO, UNICEF, UNFPA, UNESCO and Guttmacher Institute. Two reviewers will screen the titles, abstracts and full texts of publications for eligibility and inclusion-using Covidence (an online software). We will then extract relevant information from studies that meet the inclusion criteria using a tailored extraction frame and template. Extracted data will be analysed using descriptive statistics and thematic analysis. Results will be presented using tables and charts and summaries of key themes arising from available research findings. ETHICS AND DISSEMINATION:Ethical approval is not required for a scoping review as it synthesises publicly available publications. Dissemination will be through publication in a peer-review journal and presentation at relevant conferences and convening of policymakers and civil society organisations working on ASRH in SSA.

Dataset Information

Measuring health science research and development in Africa: mapping the available data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets