Surveillance of respiratory viruses by aerosol screening in indoor air as an early warning system for epidemics.
Zeynep Bengi ErenCansel VatanseverBerk KabadayıBedirhan HaykarZeynep Ece KuloğluSedat AyKamila NurlybayevaGül EyikudamacıTayfun BarlasErhan PalaoğluYeşim BeşliMert Ahmet KuşkucuÖnder ErgönülFüsun CanPublished in: Environmental microbiology reports (2024)
The development of effective methods for the surveillance of seasonal respiratory viruses is required for the timely management of outbreaks. We aimed to survey Influenza-A, Influenza-B, RSV-A, Rhinovirus and SARS-CoV-2 surveillance in a tertiary hospital and a campus over 5 months. The effectiveness of air screening as an early warning system for respiratory viruses was evaluated in correlation with respiratory tract panel test results. The overall viral positivity was higher on the campus than in the hospital (55.0% vs. 38.0%). Influenza A was the most prevalent pathogen in both locations. There were two influenza peaks (42nd and 49th weeks) in the hospital air, and a delayed peak was detected on campus in the 1st-week of January. Panel tests indicated a high rate of Influenza A in late December. RSV-A-positivity was higher on the campus than the hospital (21.6% vs. 7.4%). Moreover, we detected two RSV-A peaks in the campus air (48th and 51st weeks) but only one peak in the hospital and panel tests (week 49). Although rhinovirus was the most common pathogen in panel tests, rhinovirus positivity was low in air samples. The air screening for Influenza-B and SARS-Cov-2 revealed comparable positivity rates with panel tests. Air screening can be integrated into surveillance programs to support infection control programs for potential epidemics of respiratory virus infections except for rhinoviruses.
Keyphrases
- respiratory tract
- sars cov
- public health
- healthcare
- randomized controlled trial
- acute care
- emergency department
- adverse drug
- respiratory syndrome coronavirus
- systematic review
- air pollution
- respiratory syncytial virus
- candida albicans
- particulate matter
- climate change
- risk assessment
- gestational age
- single cell
- health risk
- placebo controlled
- electronic health record