Why this exists

In January 2020, the signals that something was coming were already visible: a cluster of pneumonia cases in Hubei, an unusual spike in search interest for “face masks” in Singapore, a few outlier articles in Reuters and the BBC. They were sitting in plain sight on the open web. They were not aggregated. They were not visualised. By the time the composite was obvious, lockdowns were already underway.

PandemicRadar exists to make those signals — and the next set of them — visible in one place, in real time, for the general public. Not for governments, not for traders, not for epidemiologists who already know how to find them. For everyone else.

It is deliberately conservative. It does not predict pandemics. It does not call for action. It reports what is happening across five families of public data, normalised against its own history, with a clear bias toward indicators that proved themselves as leading signals during the 2020 wave.

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