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Hantawatch — outbreak situational-awareness dashboard

A live dashboard that gathered public reports on the 2026 MV Hondius hantavirus outbreak into one shareable view.

My partBuilt solo

Live dashboard ↗Read the write-up →

Hantawatch

In short

A deployed situational-awareness dashboard for the MV Hondius hantavirus outbreak of April–May 2026, built from public sources only: a country choropleth, status-colored case events, a linked event feed, indicators, and a news ticker.

What it is
A live dashboard that turns public outbreak sources into one shareable situational view.
Why it matters
During a fast-moving outbreak, the public record is scattered across agency bulletins, a GIS layer, and news feeds. Reading them together, with a map and a sense of what changed, is the missing layer.
My part
I designed, built, and deployed it on my own.

Step by step

  1. 1

    Aggregate

    Cases, case events, and news are fetched in parallel on the server and normalized into one event model with source-health checks.

  2. 2

    Render

    A dark basemap with a country choropleth of active cases, circle markers colored by status, an event feed, a KPI panel with deltas, a 14-day sparkline, and a news ticker.

  3. 3

    Filter

    View, search text, and country are URL parameters; clicking a country polygon or a top-countries row toggles the country filter.

  4. 4

    Link out

    Every event row is an anchor to its source page. The dashboard summarizes; it does not become the source.

For engineersHow it is built, its limits, and its keywords.

How it works

A Next.js server component fetches and normalizes WHO disease-outbreak news, CDC material, an ArcGIS case layer, and GDELT and Google News feeds; a client map renders a choropleth and case markers; filters live in the URL so any view can be shared.

Limits

  • It aggregates public information only: no patient-level data, and it is not an epidemiological product.
  • The source parsers are specific to one outbreak and its feeds; this is not a general surveillance system.
  • There is no automated test suite yet, and the only documentation is a handoff note.

Keywords

  • OSINT
  • outbreak dashboard
  • Next.js
  • Leaflet
  • public health
  • TypeScript

Read the write-up →

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