SMC Dashboard

Overview

Supervisors can use the real-time dashboard to monitor campaign activities and track coverage, enabling them to make informed, data-driven decisions.

Existing Capabilities

  • Download charts in PDF or JPG format.

  • Share charts via WhatsApp or email.

  • A diverse range of charts and graphs for visualising key metrics.

  • Drill-down functionality for detailed data examination.

  • Multi-language support.

  • Geographic boundary-based heat maps.

  • Geo-coordinate map to view delivery data at the household level.

  • Restrict data access based on user hierarchy.

  • Tab navigation across modules.

  • Predictive charts to forecast campaign extensions.

  • Filter and sort tables.

  • View data for custom date ranges or specific campaign cycles.

New Capabilities

  • Side-by-side bar chart visualization for more than 2 variables

  • Venn diagram for inter-cycle analysis

  • Filter data by cycles

User Roles

The dashboard data will be customized based on the user's hierarchical level, ensuring access is aligned with their specific operational scope. For example, a national supervisor will have oversight of the entire campaign at the national level, while a provincial supervisor will have access to data within their assigned province, and a district supervisor will only have access to data within their assigned district, with no visibility into other districts.

Steps to use the SMC Dashboard

To access the dashboard, open your browser and enter the URL [ ]. The language selection screen will appear, select the preferred language and click on ‘Continue’. You will navigate to the ‘Login’ page. Log in with your credentials and click on ‘Continue’.

After logging in, you will land on a page listing all campaign dashboards.

Click on the dashboard. If you are a National Supervisor, the landing page you will see is the national overview page.

To navigate to a sub-national level dashboard, click on the ‘View Dashboard’ button next to the sub-national boundary name.

Modules

The dashboard is divided into several tabs based on campaign modules: Registration & Delivery, Inventory, Complaints, Supervision, Team Performance, Data Quality, and Referral and Side Effects.

Features

Date Filters: Each page has filters to view data for a specific date range, today's data, or cumulative data since the campaign's start.

Campaign Progress: A progression line at the top displays the number of days since the campaign began.

Filter by cycle: This allows you to view and analyze data for specific treatment cycles in the seasonal malaria chemoprevention campaign. Since children are treated in multiple cycles, this filter helps you focus on performance and coverage for a particular cycle, making it easier to track progress and identify gaps.

Drill-Down Bar Charts: Click on any bar to drill down to sub-boundaries, continuing until the lowest level (e.g., a village). To return to the previous view, click the 'x' button.

Drill-Down Table Charts: Click on any boundary in the table to drill down to sub-boundaries, continuing until the lowest level (e.g., a village). To return to the previous view, click the 'x' button.

Drill-Down Pie Charts: Click on any slice in the pie chart to drill down to sub-categories or data split across sub-boundaries. To return to the previous view, click the 'x' button.

Prediction Line Chart: Estimates how many more days are needed to reach target coverage based on current service delivery rates.

Geocoordinate maps: To monitor distributor coverage and track supervisor performance, the system uses the geographic coordinates of completed checklists. On a zoomed-out map, the coordinates are grouped into clusters for easier viewing. By clicking on a cluster, users can see details such as the total number of points in the cluster and information about the supervisors who recorded the data. This makes it easy to track performance and coverage across different areas.

Side-by-side comparative bar charts (2 variables): The side-by-side bar charts enable a clear comparative analysis between two distinct variables, making it easier to identify differences and trends. For example, they can be used to compare coverage by gender concerning population distribution. Additionally, side-by-side bar charts can visualize the comparison between expected stock levels and actual stock balance. This provides a clear view of inventory management, helping supervisors determine whether stock levels are in line with the campaign’s needs, or if there are discrepancies that could lead to shortages or overstocking.

Side-by-side bar chart (More than 2 variables): This layout allows supervisors to view multiple relevant variables simultaneously in a single, unified chart. By displaying these indicators next to each other, supervisors can easily compare and analyze the data across different dimensions, such as age categories, referral summary, and stock movements. The ability to view all relevant variables at once enhances efficiency, allowing for quicker identification of trends, patterns, or areas requiring attention.

Stacked bar charts: Stacked bar charts are an effective tool for visualizing the distribution of data across multiple variables, allowing for easy comparison and analysis. For example, a stacked bar chart can display the number of complaints filed within each operational boundary (district), grouped by factors such as the type or status of the complaint (pending, resolved, rejected).

Similarly, the chart can be used to show the types of side effects recorded during the campaign, with the side effect categories stacked vertically for each boundary. This enables stakeholders to easily identify trends, compare performance across regions or cycles, and pinpoint areas that may require further attention or intervention. By clustering data in this way, the chart provides a clear, comparative view that helps drive data-driven decisions and enhance campaign efficiency.

Venn diagram for inter-cycle analysis: The Venn diagram on the dashboard visually represents the overlap and distribution of inter-cycle children administration data. It illustrates the number of children who received treatment across different cycles, highlighting:

  • Cycle 1: Children treated in the first cycle.

  • Cycle 2: Children treated in the second cycle.

  • Overlap: Children who received treatment in both cycles.

This diagram helps identify the extent of coverage across different cycles and ensures that children who need multiple rounds of treatment are properly accounted for. It provides a clear visual of treatment gaps and overlaps, supporting efficient campaign management and decision-making

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