Detection of SARS-CoV-2 in aerosol and surface samples in high acuity hospital settings during community epidemic waves – implications for risk-based infection control
Year: 2026
Type: article
Abstract: Rationale Nosocomial transmission of SARS-CoV-2 is multifactorial and may vary between clinical sites. Objectives To measure SARS-CoV-2 in the air and on surfaces within the Intensive Care Unit (ICU) and Emergency Department (ED). Methods We conducted an air and surface-sampling study of SARS-CoV-2 in the ED and ICU of a hospital in Sydney. Measurements We sampled air, patient equipment, and personal protective equipment during two community COVID-19 epidemics. SARS-CoV-2 was detected using quantitative reverse transcription polymerase chain reaction (RT-qPCR). Carbon dioxide (CO 2) was measured simultaneously, with <800 ppm indicating good air quality. Main results SARS-CoV-2 genetic material was detected in 39% of 51 aerosol samples, with mean CO 2 levels consistently <800 ppm for positive samples. The ED had more detections than the ICU (80% vs. 20%; p < 0.0027) and a higher mean CO 2 level than the ICU (669 ppm vs. 522 ppm; p < 0.05). The ED waiting room, acute ward, and ICU staff tearoom showed higher detection rates than the ICU ward area. SARS-CoV-2 was detected in air samples in the ED a week before an outbreak was declared, and both inside and outside a COVID-19 patient's negative-pressure ICU room, where high-flow nasal prongs and a glove tested positive. Conclusion During community epidemics, SARS-CoV-2 genetic material is detected in hospital air despite good ventilation. Enhanced protection with masks, vaccines, and portable air purifiers, especially in high-risk areas, may mitigate nosocomial transmission, including among staff. Air sampling can provide an early warning of an outbreak and help identify areas that need enhanced infection control.
Source: Respiratory Medicine
Authors: C Raina MacIntyre, Adriana Notaras, Noor Bari, Con Doolan, Mohamed Mahmoud Abdelkareem Mahmoud, Damian Honeyman, Andre Fellipe Vilanova de Araujo Aquino, Ian Seppelt, Mark Nicholls, Stuart Turville, Anupriya Aggarwal, Mohana Kunasekaran, Rebecca Gresham, Gregory Walker, Andrea Sevendal, William Rawlinson, Isla E. Emmen, Shelby L. O'Connor, David H. O'Connor, Charitha de Silva
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,630
OpenAlex ID: W7128806314
