Empowering Global AMR Research Community: Interactive GIS dashboards for AMR data analysis and informed decision-making.

Q1 Medicine
Wellcome Open Research Pub Date : 2025-03-07 eCollection Date: 2024-01-01 DOI:10.12688/wellcomeopenres.21010.4
Stephen Obol Opiyo, Racheal Nalunkuma, Stella Maris Nanyonga, Nathan Mugenyi, Andrew Marvin Kanyike
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引用次数: 0

Abstract

Background: Antimicrobial Resistance (AMR) poses a global public health challenge, necessitating advanced tools to support data analysis, and visualization. This study introduces interactive Geographic Information System (GIS) dashboards as innovative platforms for AMR data analysis and visualization, offering comprehensive insights into resistance patterns, and geographic distribution across multiple countries, with a specific focus on Africa.

Methods: Three GIS dashboards were developed to address key objectives. The first integrates over 860,000 ATLAS data points from 83 countries, providing an interactive platform. Users can filter data by variables such as country, year, and region, enhancing data accessibility and visualization. The second dashboard focuses on the ATLAS dataset for Kenya and Uganda, incorporating detailed variables such as species, sample sources, and resistance phenotypes. The third involves Kampala, Uganda, to fill data gaps, enabling localized analyses through interactive features like geographic mapping and sample breakdowns by year.

Results: Sub-Saharan Africa faces three major challenges in handling antimicrobial resistance (AMR) data: limited accessibility for non-technical users, inefficiencies in processing large datasets, and insufficient longitudinal data for analysis. The introduction of interactive dashboards significantly improved AMR data visualization and interpretation across different scales. The global AMR dashboard effectively mapped geographical trends, uncovering critical data gaps, particularly the scarcity of AMR records from Africa. The Kenya and Uganda dashboard revealed key resistance patterns, highlighting the ineffectiveness of Ceftriaxone, Erythromycin, Levofloxacin, and Ampicillin against E. coli isolates. Additionally, the Kampala-specific dashboard, developed using simulated data, demonstrated the potential for localized AMR visualization, providing valuable insights where real-world data is limited. Across all platforms, the dashboards' interactive features enhanced data accessibility and streamlined trend identification, making AMR insights more interpretable, especially for researchers in Sub-Saharan Africa.

Conclusions: Interactive GIS dashboards enhance AMR data analysis in Sub-Saharan Africa by improving accessibility, efficiently handling large datasets, and addressing data gaps. Unlike spreadsheets such as Excel, which struggle with large datasets due to computer constraints, dashboards offer dynamic visualization, real-time updates, and intuitive data exploration.

授权全球抗菌素耐药性研究社区:用于抗菌素耐药性数据分析和知情决策的交互式GIS仪表板。
背景:抗菌素耐药性(AMR)构成了全球公共卫生挑战,需要先进的工具来支持数据分析和可视化。本研究引入了交互式地理信息系统(GIS)仪表板作为AMR数据分析和可视化的创新平台,提供了对耐药性模式和多个国家地理分布的全面见解,并特别关注非洲。方法:开发了三个GIS仪表板来解决关键目标。第一个集成了来自83个国家的86万多个ATLAS数据点,提供了一个互动平台。用户可以根据国家、年份、地区等变量对数据进行过滤,增强数据的可访问性和可视化。第二个仪表板侧重于肯尼亚和乌干达的ATLAS数据集,包括物种、样本来源和抗性表型等详细变量。第三个项目涉及乌干达的坎帕拉,以填补数据空白,通过地理地图和按年抽样分析等交互式功能实现本地化分析。结果:撒哈拉以南非洲在处理抗菌素耐药性(AMR)数据方面面临三大挑战:非技术用户的可及性有限,处理大型数据集的效率低下,以及用于分析的纵向数据不足。交互式仪表板的引入显著改善了AMR数据的可视化和跨不同尺度的解释。全球抗菌素耐药性仪表板有效地绘制了地理趋势图,揭示了关键的数据缺口,特别是非洲抗菌素耐药性记录的稀缺。肯尼亚和乌干达的仪表板揭示了关键的耐药模式,强调头孢曲松、红霉素、左氧氟沙星和氨苄西林对大肠杆菌分离株无效。此外,使用模拟数据开发的坎帕拉专用仪表板展示了本地化AMR可视化的潜力,在现实数据有限的情况下提供了有价值的见解。在所有平台上,仪表板的交互功能增强了数据可访问性,简化了趋势识别,使AMR洞察更具可解释性,特别是对撒哈拉以南非洲的研究人员而言。结论:交互式GIS仪表板通过改善可访问性、有效处理大型数据集和解决数据缺口,加强了撒哈拉以南非洲地区的抗菌药耐药性数据分析。与Excel等电子表格不同,仪表板提供动态可视化、实时更新和直观的数据探索,而Excel等电子表格由于计算机的限制而难以处理大型数据集。
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来源期刊
Wellcome Open Research
Wellcome Open Research Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
5.50
自引率
0.00%
发文量
426
审稿时长
1 weeks
期刊介绍: Wellcome Open Research publishes scholarly articles reporting any basic scientific, translational and clinical research that has been funded (or co-funded) by Wellcome. Each publication must have at least one author who has been, or still is, a recipient of a Wellcome grant. Articles must be original (not duplications). All research, including clinical trials, systematic reviews, software tools, method articles, and many others, is welcome and will be published irrespective of the perceived level of interest or novelty; confirmatory and negative results, as well as null studies are all suitable. See the full list of article types here. All articles are published using a fully transparent, author-driven model: the authors are solely responsible for the content of their article. Invited peer review takes place openly after publication, and the authors play a crucial role in ensuring that the article is peer-reviewed by independent experts in a timely manner. Articles that pass peer review will be indexed in PubMed and elsewhere. Wellcome Open Research is an Open Research platform: all articles are published open access; the publishing and peer-review processes are fully transparent; and authors are asked to include detailed descriptions of methods and to provide full and easy access to source data underlying the results to improve reproducibility.
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