Statistical analysis was performed from September 1, 2022, through January 28, 2023. Two-sided P < .05 was considered statistically significant.
During the statistical analysis period, 334 K-12 children participated in ORCHARDS. In this time period, 114 (34.1%) IAV detections and 32 (9.6%) SARS-CoV-2 RT-PCR detections were observed. There were 1425 a-ILI days and 883 a-CoV days recorded by student absenteeism monitoring.
In 43 of 154 school weeks, air samples tested positive for IAV while SARS-CoV-2 was present in air samples in 101 of 154 school weeks.
In all 4 surveillance platforms from December 11 to December 24, 2022, influenza activity exhibited a peak before dropping after winter break. In at least 2 schools each week during the study period, SARS-CoV-2 was detected by air surveillance.
According to the study, SARS-CoV-2 was detected continuously (moderate to low levels) in each ORCHARDS-based RT-PCR and school-based RAT. Cross-correlations among the platforms were significant, “and without lags for IAV,” the study authors wrote.
Over a 22-week period, air sampling provided, “equivalent results to 3 parallel methods for SARS-CoV-2 and IAV monitoring using study participant sampling with RT-PCR, cause-specific absenteeism, and school-based rapid antigen detection,” the study authors stated.
Results revealed different patterns between IAV and SARS-CoV-2, as IAV demonstrated a substantial increase in November and December while SARS-CoV-2 detections were stable.
The authors concluded that the use of complementary surveillance tools in K-12 schools could enhance detection of respiratory virus outbreaks.
Reference:
Temte J, Goss M, Barlow S, et al. Four methods for monitoring SARS-CoV-2 and influenza A virus activity in schools. JAMA Netw Open. 2023;6(12):e2346329. doi:10.1001/jamanetworkopen.2023.46329