| Literature DB >> 33956316 |
Mehdi Vosoughi1,2, Chiman Karami3, Abdollah Dargahi4, Farhad Jeddi5, Kamyar Mazloum Jalali6, Aidin Hadisi7, Somayeh Biparva Haghighi8, Hadi Peeri Dogahe7, Zahra Noorimotlagh9,10, Seyyed Abbas Mirzaee9,10.
Abstract
In December 2019, all nations learnt about the emergence of a pandemic of coronavirus disease (COVID-19), induced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is a member of the β-coronavirus group. As SARS-CoV-2 has the potentiality of leading to life-threatening respiratory failure, its transmission routes need to be characterized. Yet, the possibility of airborne transmission is still debated. This study was performed to evaluate potential hospital indoor air viral quality in order to detect SARS-COV-2. For this purpose, an impinger method was used to monitor the SARS-COV-2 virus in the air. Thus, 33 samples were collected from 8 different hospital locations. The sampling time was between 50 and 60 min with a sampling flow rate of 28 L/min. Air samples were taken from 2 to 5 m away from the patients' beds. Temperature, relative humidity, and CO2 concentration were 28, 37, and 438 ppm, respectively. The results indicated that air samples which were 2 to 5 m away from the patients' beds were negative for the presence of the virus. According to the obtained results, it is suggested that airborne transmission may not have much effect on this pandemic. However, as the patients with SARS-CoV-2 were hospitalized in rooms with negative air pressure, the results might have been negatively affected. Graphical abstract.Entities:
Keywords: Airborne transmission; COVID-19 patient wards; Hospital indoor air; Impinger method; Relative humidity; SARS-coronavirus-2; Temperature
Mesh:
Year: 2021 PMID: 33956316 PMCID: PMC8100364 DOI: 10.1007/s11356-021-14260-3
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223
Fig. 1Percentage of infection, mortality, and recovery in cities of Ardabil province located in northwestern Iran during the SARS-CoV-2 pandemic
Fig. 2Air sample location of Imam Khomeini Hospital in Ardabil province
Primers and probes used in this study
| Organisms | Target gene | Sequence (5′–3′) | Cycling parameters | Reference |
|---|---|---|---|---|
| SARS-CoV-2 | Probe and primer ORF1a/b | FACAGGTGGAACCTCATCAGGAGATGC-BBQ F-GTGARATGGTCATGTGTGGCGG R-CARATGTTAAASACACTATTAGCATA | 55°C 10′ 94°C 3′ 94°C 15″ 58°C 30″ 45x. | Corman et al |
Primer and probe N gene | F-AAATTTTGGGGACCAGGAAC R-TGGCAGCTGTGTAGGTCAA PFAM-ATGTCGCGCATTGGCATGGA-BHQ | 55°C 10′ 94°C 3′ 94°C 15″ 58°C 30″ 45x. | Waggoner et al |
Proper amount of the synthesis reagents for Real time PCR Master Mix: per reaction H2O (RNAse free) 0.6 μL 2× reaction mix* 12.5 μL MgSO4 (50mM) 0.4 μL BSA (1 mg/mL)** 1 μL primer ORF1a/b _SARSr-F (10 μM stock solution), 1.5 μL primer ORF1a/b SARSr-R (10 μM stock solution), 2 μL probe RdRP_SARSr-P1 (10 μM stock solution), 0.5 μL probe RdRP_SARSr-P2 (10 μM stock solution), 0.5 μL of SARS-CoV-2 primer and probe sets s Cov RdRP and N gens. SSIII/Taq EnzymeMix* 1 μL template RNA, add 5 μL, total reaction mix 20 μL. Thermal cycler: 55°C 10′ 94°C 3′ 94°C 15″ 58°C 30″ 45x
SARS-CoV-2 in the air samples of hospital wards (n = 32)
| Hospital wards | Number of air samples | Status of COVID-19 patients | Number of staffs | SARS-CoV-2 in air sample |
|---|---|---|---|---|
| Respiratory section-1 (COVID-19) | S1 | 25 (oxygen mask: 15, intubated: 10) | 8 | Neg |
| S2 | Neg | |||
| S10 | Neg | |||
| S11 | Neg | |||
| S13 | Neg | |||
| S19 | Neg | |||
| S20 | Neg | |||
| S31 | Neg | |||
| S32 | Neg | |||
| Laboratory section | S3 | Presence of people suspected to have the disease | 5 | Neg |
| S16 | Neg | |||
| S26 | Neg | |||
| S27 | Neg | |||
| CT section | S4 | Presence of people suspected to have the disease | 3 | Neg |
| S23 | Neg | |||
| S34 | Neg | |||
| Respiratory section-2 (COVID-19) | S5 | 22 (oxygen mask: 13, intubated: 9) | 8 | Neg |
| S14 | Neg | |||
| S22 | Neg | |||
| S28 | Neg | |||
| S30 | Neg | |||
| Respiratory section-1 (COVID-19) checkup room | S6 | Presence of people suspected to have the disease | 2 | Neg |
| Respiratory section-2 (COVID-19) station section | S7 | Presence of people suspected to have the disease | 2 | Neg |
| Emergency section | S8 | 3 (oxygen mask: 0, intubated: 0) and presence of people suspected to have the disease | 5 | Neg |
| S12 | Neg | |||
| S17 | Neg | |||
| S18 | Neg | |||
| S25 | Neg | |||
| S29 | Neg | |||
| S33 | Neg | |||
| ICU | S9 | 2 | Neg | |
| S15 | 5 (oxygen mask: 0, intubated: 5) | Neg |
S sample number, Neg negative result
Additional information on environmental status of patients’ rooms with confirmed COVID-19
| Hospital wards | Status of windows | Area of patient rooms (m2) | Ventilation system | Temperature (°C) | Relative humidity (%) | CO2 (ppm) |
|---|---|---|---|---|---|---|
| Respiratory section-1 (COVID-19) | 5 (close) | 125 | Mechanical/natural | 28 | 37 | 438 |
| Laboratory section | 4 (close) | 60 | Mechanical/natural | 24.5 | 37 | 351 |
| CT section | 2 (close) | 50 | Mechanical/natural | 19.5 | 39 | 325 |
| Respiratory section-2 (COVID-19) | 4 (close) | 100 | Mechanical/natural | 26.5 | 33 | 417 |
| Respiratory section-1 (COVID-19) checkup room | 1 (close) | 25 | Mechanical/natural | 24.5 | 37 | 315 |
| Respiratory section-2 (COVID-19) station section | 1 (close) | 20 | Mechanical/natural | 26.5 | 33 | 342 |
| Emergency section | 8 (close) | 200 | mechanical/natural | 23.5 | 40 | 425 |
| ICU | 2 (close) | 70 | Mechanical/natural | 24.1 | 41 | 412 |
Compression of conflicting studies about the possibility of airborne transmission SARS-CoV-2
| Raw | study | Results | References |
|---|---|---|---|
| 1 | Airborne transmission of SARS-CoV-2: the world should face the reality | Their study showed that larger droplets with viral content deposit close to the emission point. | Morawska et al. |
| 2 | A field indoor air measurement of SARS-CoV-2 in the patient rooms of the largest hospital in Iran | All air samples were negative. | Faridi et al. |
| 3 | Detection of air and surface contamination by severe acute respiratory syndrome coronavirus (SARS-CoV-2) in hospital rooms of infected patients | SARS-COV-2 viral RNA in air has been detected in hospitals, including at distances greater than 2 m from patients. | Chia et al. |
| 4 | Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals | They found that the majority of these viruses was associated with microscopic droplets of diameter 2.5 microns and smaller. | Liu et al. |
| 5 | Hospital indoor air quality monitoring for the detection of SARS-CoV-2 (COVID-19) virus | They found two positive air samples (in the ICU) out of 14 ones taken from different wards with confirmed COVID-19 patients. | Kenarkoohi et al. |
| 6 | SARS-CoV-2 RNA detection in the air and on surfaces in the COVID-19 ward of a hospital in Milan, Italy | All the air samples collected from the contaminated area were positive while viral RNA was not detected in either semi contaminated or clean areas. | Razzini et al. |
| 7 | Investigation of hospital indoor air quality for the presence of SARS-Cov-2 | All of the samples were negative for SARS-Cov-2 occurrence. | Masoumbeigi et al. |
| 8 | Airborne transmission of SARSCoV-2: theoretical considerations and available evidence. | They reported no perfect experimental data are proving or disproving droplet vs. aerosol-based transmission of SARS-CoV-2. | Klompas et al. |
| 9 | Inspecting hospital indoor air quality for possible presence of SARS-CoV-2 (Covid-19) | All the air samples collected from the different wards of hospital were negative. | This study |