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dc.contributor.authorOpiyo, Stephen Obol
dc.contributor.authorNalunkuma, Racheal
dc.contributor.authorNanyonga, Stella Maris
dc.contributor.authorMugenyi, Nathan
dc.contributor.authorKanyike, Andrew Marvin
dc.date.accessioned2024-05-27T09:32:50Z
dc.date.available2024-05-27T09:32:50Z
dc.date.issued2024
dc.identifier.citationOpiyo, S. O., Nalunkuma, R., Nanyonga, S. M., Mugenyi, N., & Kanyike, A. M. (2024). Empowering Global AMR Research Community: Interactive GIS dashboards for AMR data analysis and informed decision-making. Wellcome Open Research, 9, 234.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/3681
dc.description.abstractBackground: Antimicrobial Resistance (AMR) is a critical global public health concern, demanding effective tools for research, data analysis, and decision-making. This study proposes a groundbreaking approach to empower the global AMR research community by introducing interactive Geographic Information System (GIS) dashboards. These dashboards aim to facilitate comprehensive data analysis of AMR across multiple countries, providing insights into antimicrobial usage (AMU), resistance patterns, and geographic distribution. Methods: The novel approach involves the development of GIS dashboards that integrate and harmonize data from diverse sources, including clinical laboratories, surveillance networks, and public health agencies. Objective 1 focuses on creating a dashboard encompassing all countries, offering comprehensive data analysis capabilities and visualization tools. Objective 2 entails building a focused dashboard specifically for Kenya and Uganda, allowing for comparative analysis of AMR in these regions. Objective 3 involves the generation of a simulated dataset for Kampala, Uganda, addressing data limitations in that specific area. Results: The GIS dashboards serve as powerful tools for visualizing and analyzing AMR-related datasets, providing stakeholders with a comprehensive view of the global AMR landscape. These dashboards offer valuable insights into antimicrobial usage, resistance patterns, and geographical distribution. The centralized platform facilitates data exploration and analysis, aiding researchers, policymakers, and healthcare professionals in making informed decisions to combat AMR. Conclusions: In conclusion, the study demonstrates that the developed GIS dashboards empower stakeholders by providing valuable insights and informed decision-making capabilities. The dashboards serve as essential tools for addressing the global challenge of AMR, allowing for a deeper understanding of the problem and informing effective strategies. The approach outlined in this study has the potential to significantly contribute to the ongoing efforts to combat AMR on a global scale.en_US
dc.description.sponsorshipWellcome [227486]en_US
dc.language.isoen_USen_US
dc.publisherWellcome Open Researchen_US
dc.subjectAntimicrobial Resistance (AMR)en_US
dc.subjectGeographic Information System (GIS) dashboardsen_US
dc.subjectData analysisen_US
dc.subjectInformed decision makingen_US
dc.titleEmpowering Global AMR Research Community: Interactive GIS dashboards for AMR data analysis and informed decision makingen_US
dc.typeArticleen_US


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