I will give you direct access to our secured Government health databases so you can extract the figures we monitor daily on infectious-disease cases, laboratory confirmations, and sentinel surveillance sites across Nepal. Your task is to turn this raw information into clear, evidence-based insights that guide our infectious-disease control policies. I need clean, reproducible code (Python, R or Stata are all acceptable), an annotated dataset ready for archiving, and a concise report that highlights trends, hotspots, and any statistically significant anomalies. Please visualise the main findings in intuitive charts or dashboards so they can be shared quickly with provincial teams and senior officials. Deliverables • A documented data-cleaning and analysis script • The processed dataset in CSV and native format • A policy-oriented report (≈10 pages) with visuals and key recommendations • Source files for all graphics or interactive dashboards Acceptance criteria The code must run end-to-end on my side without manual edits, figures must match the numbers in the report, and the narrative must translate technical results into actionable steps for field response units. Strict confidentiality is essential; all materials remain government property. If this scope suits your skills and you can start within a week, let me know your proposed timeline for the first draft of results.