Biobot upgrades wastewater virus tracking with hybrid normalization model
The surveillance firm combines PMMoV biomarker, sewage flow, and lab efficiency data to smooth out noise and improve pandemic tracking.
What to know
- Biobot moved from relying solely on PMMoV (a virus present in human stool) to a hybrid model incorporating flow data and lab efficiency metrics.
- The new approach aims to filter distortions from rain, industrial discharge, and lab errors that can make single-marker data unreliable for pandemic surveillance.
- The upgrade reflects a broader recognition in wastewater epidemiology that no single normalization method captures all sources of noise in viral abundance estimates.
Biobot Analytics Wastewater surveillance firm
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“We have derived a combined 'hybrid' normalization metric that uses PMMoV, laboratory efficiency, and flow, allowing us to more precisely compare pathogen abundances across time and space.”
— Biobot Analytics -
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Biobot has upgraded its wastewater tracking. Instead of relying on just a single biomarker like PMMoV, they now combine it with actual sewage flow data and lab process efficiency. This brand-new hybrid model smooths out data spikes caused by heavy rain or lab errors to track virus trends accurately.
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"A deep dive into Biobot’s approach to normalizing viral abundance data" Biobot has changed how it analyses wastewater data. Instead of relying on one measure, it now combines PMMoV, wastewater flow and lab efficiency. Biobot says this new approach helps smooth out random fluctuations caused by things like heavy rain or lab errors, making it much…
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