Claims

Agent-based modeling indicates routine testing can greatly reduce or eliminate within-school Covid-19 transmission

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Modeling results showed routine testing can greatly reduce or eliminate within-school Covid-19 transmission. → Divya Vohra 2021

Evidence

Divya Vohra 2021

Divya Vohra, Patricia Rowan, John Hotchkiss, Kenneth Lim, Aimee Lansdale, So O'Neil. (2021). Implementing Covid-19 Routine Testing in K-12 Schools: Lessons and Recommendations from Pilot Sites. Mathematica Research & Evaluation. https://www.mathematica.org/publications/implementing-covid-19-routine-testing-in-k-12-schools-lessons-and-recommendations-from-pilot-sites

q2 · i? · design · r2

Agent-based modeling conducted by Mathematica to understand the potential effectiveness of different routine testing strategies for reducing within-school COVID-19 transmission. The report states "routine testing can greatly reduce or eliminate within-school Covid-19 transmission." No effect size is printed.

"Modeling results showed that routine testing can greatly reduce or eliminate within-school Covid-19 transmission."

Discussion

Page metadata
Field Value
type claim
id routine-testing-reduces-within-school-transmission
title Agent-based modeling indicates routine testing can greatly reduce or eliminate within-school Covid-19 transmission
description Agent-based modeling indicates routine testing can greatly reduce or eliminate within-school Covid-19 transmission
status review
evidence_strength moderate
newest_evidence 2021
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — divya-vohra-2021

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