Air-Cleaner Performance / CASE STUDY

School Air Purifier Field Study: Bacteria and Attendance

ARE Labs evaluated a seven-week school field study comparing bacterial bioaerosol concentrations and illness-related attendance observations in treated schools and paired control schools.

BioaerosolAir cleanerField study
Field case study

Treated schools had lower average bacterial concentrations and illness-related absenteeism

Abstract

This case study describes a seven-week parallel-controlled field study of plasma-based room air purifiers in occupied elementary schools.

Study question

The work compared repeated bacterial air samples and attendance observations under occupied-school conditions.

Selected findings

  • Treated classrooms showed 41.1% and 21.9% lower average bacterial concentrations than paired control schools.
  • The comparisons describe measurements from four occupied schools under the study conditions.
  • Illness-related absenteeism was also lower during the same seven-week period; the observational study does not establish causation.
Study period
7 weeksTwo treated schools and two untreated control schools were compared during the same study window.
Samples
490 per pairEach parallel-controlled comparison generated repeated bacterial air samples.
Endpoints
2 observationsBacterial concentrations and illness-related attendance observations are reported descriptively.

The field-study question

School occupancy, classroom traffic, outdoor air effects, and HVAC conditions vary as students and staff move throughout the day. Real-world air purifier testing examines an air-cleaning intervention amid these changing conditions in occupied spaces.3,4

The seven-week study evaluated plasma-based room air purifiers in four elementary schools: two treated schools and two untreated control schools. It compared airborne bacterial concentrations and attendance observations during the same period.

Parallel-controlled design

The study used two parallel-controlled comparisons, each pairing a treated elementary school with an untreated control school. Treated classrooms and common areas used plasma-based room air purifiers. The control schools operated without the added air purification intervention.

School pairs were selected for comparability in building age, existing air systems, socioeconomic demographics, geography, and morning or afternoon sampling time. Matching makes the field comparison more meaningful than a one-building demonstration, but it cannot remove every difference between schools.

Two aerosol scientists sampled each treated/control pair simultaneously over seven weeks. At each school, they collected samples from five classrooms, one common area, and one outdoor location. Each comparison generated 490 bacterial air samples, providing repeated field measurements rather than a single snapshot.

Repeated sampling gives a fuller description of conditions within these schools. The intervention comparison, however, still involves four schools arranged in two pairs. More air samples do not mean more independently assigned schools. The public summary therefore compares schools within each pair and does not use the sample count as evidence that the findings apply to a larger school population.

What ARE Labs measured

ARE Labs measured classroom airborne bacterial concentration as colony-forming units per cubic meter of air. Illness-related absenteeism was recorded over the same study period. Bacterial concentration is a sampling endpoint; it is not a measurement of clinical infections.

Sampling five classrooms, a common area, and an outdoor location captured several environmental contexts. The displayed outcome is the average classroom bacterial concentration. It is not an indoor-to-outdoor ratio, a whole-building removal rate, or a direct measurement of purifier CADR. Collecting outdoor samples does not establish that every classroom result was adjusted for outdoor conditions.

TABLE 1Seven-week parallel-controlled school IAQ study outcomes.
Study pairSchool roleAverage classroom bacterial concentrationBacterial concentration comparisonIllness-related absenteeism
Pair 1Treated30.2 cfu/m341.1% lower than control5.12%
Pair 1Control51.3 cfu/m3Reference10.99%
Pair 2Treated56.1 cfu/m321.9% lower than control4.75%
Pair 2Control71.8 cfu/m3Reference7.28%

Descriptive values from a non-public ARE Labs 2025 school report. Attendance differences are observational and do not establish causation.

Lower classroom bacterial concentrations

In Pair 1, the treated school averaged 30.2 cfu/m3 across sampled classrooms, compared with 51.3 cfu/m3 in its untreated control school. The treated school's average classroom bacterial concentration was 41.1% lower. In Pair 2, the treated school averaged 56.1 cfu/m3, compared with 71.8 cfu/m3 in its untreated control school, a 21.9% lower concentration.

FIGURE 1Average classroom bacterial concentration by school pairTreated schools showed lower average classroom bacterial concentrations than paired controls.Grouped bar chart showing lower average classroom bacterial concentrations in treated schools than control schools for two matched school pairs.
View figure data as a table
pairTreated schoolControl school
Pair 130.2cfu/m351.3cfu/m3
Pair 256.1cfu/m371.8cfu/m3

Source: non-public ARE Labs 2025 school study summary report.

  • Values are average classroom bacterial concentrations in cfu per cubic meter.
  • The chart does not represent clinical infection incidence.

These are descriptive comparisons of the reported averages from four schools. Repeated samples describe conditions within these schools and do not establish results for other schools.

The percentage differences compare treated and control schools during the study window. They are not before-and-after reductions within the same classroom. The comparison does not establish a device-specific causal effect or separate the device's contribution from ventilation, occupancy, or other building conditions.

Attendance observations and interpretation

Attendance is an observational endpoint. Community illness, reporting practices, school populations, ventilation, and other differences can affect it. Matching schools and collecting samples during the same period do not isolate the air purifiers as the cause of an attendance difference.

During the same seven-week period, illness-related absenteeism in Pair 1 was 5.12% in the treated school versus 10.99% in the control school. In Pair 2, it was 4.75% in the treated school versus 7.28% in the control school. Absenteeism was therefore 53.4% lower in the treated school in Pair 1 and 34.8% lower in the treated school in Pair 2 during the study window.

Bacterial sampling and attendance describe different levels of observation. A classroom air sample cannot identify why an individual was absent, and an attendance percentage cannot identify the organism responsible for an illness. Reporting both endpoints together describes the study design; it does not establish a link from measured bacteria to a particular infection and then to a missed school day.

Where ASHRAE 241 and CADR fit

ASHRAE Standard 241 provides context through its focus on equivalent clean airflow for infectious aerosol risk reduction. The school study did not directly measure building-level CADR. CADR-style testing, controlled bioaerosol efficacy testing, and field bioaerosol studies answer different but complementary questions.1,2

CADR testing can measure how quickly a room air cleaner removes defined particle challenges under controlled conditions. Room bioaerosol efficacy testing can evaluate airborne microbial reduction under controlled chamber or room-scale conditions. A field study examines how a deployed intervention behaves in occupied spaces, where building conditions vary.1

What the study shows

For school districts and manufacturers, field sampling can describe how bacterial concentrations vary under occupied-building conditions. Attendance observations may identify questions for further study, but they do not establish a clinical benefit.3,4

The study paired treated and control spaces, collected simultaneous samples, and included outdoor measurements. Differences in school populations, ventilation, and other building conditions still affect interpretation.

Summary

The seven-week school study reported lower average classroom bacterial concentrations and illness-related absenteeism in the treated schools. These descriptive and observational comparisons do not establish reduced infection or a causal attendance benefit. The work helped the client describe bacterial concentrations and attendance observations in occupied schools while identifying limits on health claims. ARE Labs supported repeated field sampling and a reviewable study record.

PUBLIC SOURCES

References and study evidence

  1. 1ASHRAE Standard 241-2023, Control of Infectious Aerosols Fact SheetASHRAEPublic context for equivalent clean airflow and infectious aerosol risk reduction.Open source
  2. 2ASHRAE Publishes Standard 241, Control of Infectious AerosolsASHRAEOfficial ASHRAE context for the purpose and scope of Standard 241.Open source
  3. 3Ventilation in Schools and Childcare ProgramsCDC/NIOSHPublic-health context for ventilation and air cleaning in schools and childcare settings.Open source
  4. 4Ventilation and Respiratory VirusesU.S. Environmental Protection AgencyPublic IAQ context for ventilation, filtration, and portable air cleaners.Open source
QUESTIONS

What to know about this study

What did the school air purifier study measure?

The study measured classroom bacterial bioaerosol concentrations and recorded illness-related absenteeism in treated and paired control schools. The public summary presents descriptive comparisons.

Do the findings establish a reduction in clinical infections?

No. Clinical infections were not measured. Bacterial concentrations and attendance observations do not establish a reduction in infection risk.

How does this relate to CADR testing?

CADR-style testing measures device performance over time under controlled conditions. Field bioaerosol studies examine how a deployed intervention behaves in occupied spaces. The two approaches answer complementary questions.1