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joshi-nehaaa/project_01_malaria_CEA

Domaine:

healthcaresocioeconomic
Créateur:
jos
Hôte:
Cost-Effectiveness of ITN distribution in Nigeria (NMIS 2021) # Project 01: Malaria ITN Cost-Effectiveness (Nigeria) **Objective:** \ To evaluate the cost-effectiveness of Insecticide-Treated Net (ITN) distribution in Nigeria by analyzing household ITN ownership, usage among children under 5, and malaria burden across the six geopolitical zones. **Key Findings:** \ Average Cost per DALY Averted ≈ $3098 - Highly cost-effective \ Average Cost per Case Averted ≈ $62 - Low relative to treatment cost \ Total DALYs Averted ≈ 27,520 - Substantial health impact \ Most Cost-Effective Zone: North West - High usage and low distribution costs \ Average Usage Gap ≈ 17.6% - Behavioral non-use remains significant \ **Repo Map:** 📁 analysis/ - impacts_model_2021.xlsx - load_data.R - zone_itn_metrics_costed.xlsx - zone_itn_metrics_validated.xlsx 📁 data_clean/ - zone_itn_verified.csv - zone_itn_verified.rds 📁 data_raw/ - Nigeria_MIS_2021_Report.pdf - zone_itn_data.xlsx 📁 documentation/ - README_Step1_DataPrep.txt - README_Step2_DataCompilation_Validation.txt - README_Step3_ImpactModelling.txt - README_Step4_Interpretation.txt - README_Step5_VisualDashboard.txt 📁 outputs/ - chart_cost_per_case_vs_usage_gap.jpeg - chart_cost_per_DALY_by_zone.jpeg - chart_itn_additional_children.jpeg - chart_itn_ownership_vs_usage.jpeg - chart_itn_scatter_ownership_usage.jpeg - dashboard_2021.pdf - executive_summary_2021.pdf - plot_itn_gap_zone.jpeg - plot_itn_usage_by_zone.jpeg - project_summary_case_brief.pdf **Portfolio:** \ Explore this project and others on my Notion portfolio: joshi-nehaaa.notion.site

Visit

github.com

Licenses

MIT

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Artificial intelligence in higher education: a practical approach <b>Artificial intelligence in higher education: a practical approach</b> , edited by Prathamesh Padmakar Churi, Shubham Joshi, Mohamed Elhoseny, and Amina Omrane, Florida, CRC Press, 2022, 266 pp., £79.99 (Hardback), £35.99 (eBook), ISBN 9781032026060