PrevIQ Docs

Glossary

Every term used across PrevIQ, defined in one place.

  • Prevalence ratepercentage — The fraction of tested specimens in which an organism was detected, within a single syndrome and panel. detected / tested.

  • Testedcount — The number of specimens actually tested for an organism in a given panel — the denominator. Excludes "not tested" (N/A) and invalid results.

  • Detectedcount — The number of tested specimens in which the organism was found — the numerator.

  • Specimenentity — A single patient sample. One specimen typically generates many organism-result cells (one per organism on its panel).

  • Organism-result cellentity — A single organism's result on a single specimen. PrevIQ stores these as normalized records; they are not the same as specimens.

  • Specimen count (estimate)count — An estimate of distinct specimens for a syndrome, computed as the sum of the maximum tested count within each panel. Used so headline numbers reflect specimens, not raw cells.

  • Syndromebucket — A clinical-area grouping of panels — RESPIRATORY, UTI, STI, VAGINOSIS, WOUND, GI, GBS_PRENATAL. See Syndromes & panels.

  • Panelentity — A specific test panel (e.g. "UTI with AMR"). Prevalence is computed at the panel level first.

  • Combo panelentity — A panel spanning multiple clinical areas (e.g. "Female STI + Vaginosis"). Its organisms are routed to their constituent syndromes.

  • Vendor (vendor ID)entity — A laboratory, identified by a short code such as AFC or OBG-YN.

  • Sample-size tierA | B | C — A quality grade for a rate based on its tested count: A (n ≥ 100), B (30–99), C (< 30, not reportable). See Sample-size tiers.

  • Clinically reportablebooleantrue for Tier A and B; false for Tier C. Indicates whether a rate is solid enough to act on.

  • Confidence interval (95%)range — The plausible range for the true rate, computed with the Wilson score method. Reported as [lower – upper].

  • ClassificationINCLUDE | WATCH | RARE — The panel-design verdict for an organism. See Panel classifications.

  • Result statuspositive | negative | skip | exclude — How a raw result cell is interpreted. Skip and exclude leave the math entirely. See Result statuses.

  • Methodology footnotetext — The standard note attached to every report stating that prevalence uses an all-tested-specimens denominator.

  • Grouping levelvendor | syndrome | cross_vendor — How prevalence rows are rolled up: per lab, pooled within a syndrome, or pooled across all labs.

  • Ingestion runevent — A single load of a data file, with row counts and QA flags. Visible in ingestion history.

  • QA flaglabel — A data-quality marker on an ingestion run, e.g. UNKNOWN_RESULT or ALL_NA_ROW.

  • RESP-NETexternal dataset — Public CDC respiratory hospitalization surveillance (COVID-NET, FluSurv-NET, RSV-NET), shown as context only — never blended into prevalence. See Geo.