Support AMR Data Analysis Using R Software

Tags: nursing Global Health
  • Added Date: Thursday, 21 August 2025
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Mission and objectivesThe World Health Organization (WHO) is the directing and coordinating authority for public health within the United Nations system. The WHO Regional Office for the Eastern Mediterranean is one of WHO’s 6 regional offices around the world. It serves the WHO Eastern Mediterranean Region, which comprises 21 Member States and occupied Palestinian territory (including East Jerusalem), with a population of nearly 679 million people.

ContextWith WHO’s support, many hospitals in the Eastern Mediterranean Region are collecting antimicrobial resistance (AMR) surveillance data, but much of it remain underutilized. By volunteering, you will help transform raw data into actionable insights that can guide clinical practice and public health decisions. This assignment gives you the opportunity to apply your R programming and data analysis skills to a real-world global health challenge. You will also learn from WHO experts and collaborate with professionals across the region, enhancing your experience in AMR and public health data systems.

Task DescriptionThe three online volunteers will work under the guidance of AMR/IPC Unit Medical Officer, WHO Eastern Mediterranean Regional Office, and willl : Clean and structure AMR surveillance datasets from selected hospitals. Generate analytical outputs (tables and visualizations) using the AMR R package. Summarize key AMR trends and findings in short reports. Provide virtual support sessions for national focal points and hospital staff on using R for AMR data analysis. Document the workflow for capacity building and future use. Final Deliverables: Cleaned and structured AMR surveillance datasets from selected hospitals. Analytical outputs using the AMR R package (https://amr-for-r.org/), including tables and visualizations. A summary report highlighting key AMR trends and findings. Virtual support sessions for national focal persons and hospital staff on using R for AMR data analysis. Documentation of the analysis workflow for future reference and capacity building. Requirements: Background: Experience in public health, microbiology, epidemiology, nursing, medicine or allied

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