Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

amanyiraho/RI-Dashboard-Nigeria

Domaine:

healthcaregeospatial

Type de record:

software
Créateur:
ama
Hôte:
Geospatial dashboard # **Case Study: Creating an Interactive Geospatial Dashboard for Routine Immunization** ## **Introduction** ### **Project Overview** The project aimed to develop an interactive geospatial dashboard using Shiny, providing insights into Routine Immunization (RI) and Cold Chain Equipment (CCE) functionality across different states in Nigeria. ### **Objectives** 1. Visualize the distribution of Cold Chain Equipment. 2. Provide a breakdown of Routine Immunization services in each state. 3. Create an interactive map allowing users to explore functionality details by clicking on specific states. ## **Technology Stack** ### **Shiny Modules** We employed modularization to enhance code organization and maintainability. Two key modules were created: - **`riMapModule`**: Manages the interactive map and state functionality details. - **`riOverviewModule`**: Presents an overview of CCE and RI services. ### **Key Packages** - **sf:** Used for handling geospatial data. - **leaflet:** Employed for creating interactive maps within the Shiny application. - **bslib:** Provided Bootstrap-themed layouts for the UI. - **thematic:** Utilized for customizing the CSS theme. ## **Project Structure** ### **Modularization** The project was structured to promote code modularity, with separate R scripts for each Shiny module (**`riMapModule`** and **`riOverviewModule`**), promoting code reusability and ease of maintenance. ### **Directory Layout** ``` - app.R - R/ - riMapModule.R - riOverviewModule.R - data/ - health_care_facilities_geo.rds ``` ## **Development Process** ### **Data Processing** Geospatial data on health care facilities was loaded and processed using the **`sf`** package. CCE and RI service statistics were calculated for each state. ### **Interactive Maps** The **`leaflet`** package was employed to create interactive maps. Each state was represented as a circle marker with clusters to drill-down to hospital (facility) level with pop-up det …

Visit

github.com