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Abstract

Background: The ongoing outbreak of COVID-19 has spread rapidly and sparked global concern. While the transmission of SARS-CoV-2 through human respiratory droplets and contact with infected persons is clear, the aerosol transmission of SARS-CoV-2 has been little studied. Methods: Thirty-five aerosol samples of three different types (total suspended particle, size segregated and deposition aerosol) were collected in Patient Areas (PAA) and Medical Staff Areas (MSA) of Renmin Hospital of Wuhan University (Renmin) and Wuchang Fangcang Field Hospital (Fangcang), and Public Areas (PUA) in Wuhan, China during COVID-19 outbreak. A robust droplet digital polymerase chain reaction (ddPCR) method was employed to quantitate the viral SARS-CoV-2 RNA genome and determine aerosol RNA concentration. Results: The ICU, CCU and general patient rooms inside Renmin, patient hall inside Fangcang had undetectable or low airborne SARS-CoV-2 concentration but deposition samples inside ICU and air sample in Fangcang patient toilet tested positive. The airborne SARS-CoV-2 in Fangcang MSA had bimodal distribution with higher concentration than those in Renmin during the outbreak but turned negative after patients number reduced and rigorous sanitization implemented. PUA had undetectable airborne SARS-CoV-2 concentration but obviously increased with accumulating crowd flow. Conclusions: Room ventilation, open space, proper use and disinfection of toilet can effectively limit aerosol transmission of SARS-CoV-2. Gathering of crowds with asymptomatic carriers is a potential source of airborne SARS-CoV-2. The virus aerosol deposition on protective apparel or floor surface and their subsequent resuspension is a potential transmission pathway and effective sanitization is critical in minimizing aerosol transmission of SARS-CoV-2.
Aerodynamic Characteristics and RNA Concentration of SARS-CoV-2 Aerosol in
Wuhan Hospitals during COVID-19 Outbreak
Yuan Liu, Ph.D.,1, †, Zhi Ning, Ph.D.,2, †, *, Yu Chen, Ph.D.,1, †, *, Ming Guo, Ph.D.,1, †, Yingle
Liu, Ph.D.,1, Nirmal Kumar Gali, Ph.D.,2, Li Sun, M.Sc.,2, Yusen Duan, M.Sc.,3, Jing Cai,
Ph.D.,4, Dane Westerdahl2, D.Env.,2, Xinjin Liu, M.Sc.,1, Kin-fai Ho, Ph.D.,5, *, Haidong Kan,
Ph.D.,4, *, Qingyan Fu, Ph.D.,3, *, Ke Lan, MD, PhD, 1, *
These authors contributed equally to this work.
Affiliations:
1 State Key Laboratory of Virology, Modern Virology Research Center, College of Life
Sciences, Wuhan University, Wuhan, 430072, P. R. China;
2 Division of Environment and Sustainability, The Hong Kong University of Science and
Technology, Hong Kong SAR, P. R. China;
3 Shanghai Environmental Monitoring Center, Shanghai 200235, P. R. China;
4 School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and
Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University,
Shanghai 200032, P. R. China;
5 JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong
Kong SAR, P. R. China
*Corresponding authors:
Ke Lan, State Key Laboratory of Virology, Modern Virology Research Center, College
of Life Sciences, Wuhan University, Wuhan, 430072, P. R. China. E-mail: klan@whu.edu.cn
Zhi Ning, Division of Environment and Sustainability, The Hong Kong University of
Science and Technology, Hong Kong SAR, P. R. China. E-mail:zhining@ust.hk
Yu Chen, State Key Laboratory of Virology, Modern Virology Research Center,
College of Life Sciences, Wuhan University, Wuhan, 430072, P. R. China. E-mail:
chenyu@whu.edu.cn
Qingyan Fu, Shanghai Environmental Monitoring Center, Shanghai 200235, P.
R.China. E-mail: qingyanf@sheemc.cn
Haidong Kan, P.O. Box 249, 130 Dong-An Road, Shanghai 200032, P. R. China.
Tel/fax: +86 (21) 5423 7908. E-mail: kanh@fudan.edu.cn
Kin-fai Ho, JC School of Public Health and Primary Care, The Chinese University of
Hong Kong, Hong Kong SAR, P. R. China. Email: kfho@cuhk.edu.hk
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Abstract
Background: The ongoing outbreak of COVID-19 has spread rapidly and sparked global
concern. While the transmission of SARS-CoV-2 through human respiratory droplets and
contact with infected persons is clear, the aerosol transmission of SARS-CoV-2 has been
little studied.
Methods: Thirty-five aerosol samples of three different types (total suspended particle, size
segregated and deposition aerosol) were collected in Patient Areas (PAA) and Medical Staff
Areas (MSA) of Renmin Hospital of Wuhan University (Renmin) and Wuchang Fangcang
Field Hospital (Fangcang), and Public Areas (PUA) in Wuhan, China during COVID-19
outbreak. A robust droplet digital polymerase chain reaction (ddPCR) method was employed
to quantitate the viral SARS-CoV-2 RNA genome and determine aerosol RNA concentration.
Results: The ICU, CCU and general patient rooms inside Renmin, patient hall inside
Fangcang had undetectable or low airborne SARS-CoV-2 concentration but deposition
samples inside ICU and air sample in Fangcang patient toilet tested positive. The airborne
SARS-CoV-2 in Fangcang MSA had bimodal distribution with higher concentration than
those in Renmin during the outbreak but turned negative after patients number reduced and
rigorous sanitization implemented. PUA had undetectable airborne SARS-CoV-2
concentration but obviously increased with accumulating crowd flow.
Conclusions: Room ventilation, open space, proper use and disinfection of toilet can
effectively limit aerosol transmission of SARS-CoV-2. Gathering of crowds with
asymptomatic carriers is a potential source of airborne SARS-CoV-2. The virus aerosol
deposition on protective apparel or floor surface and their subsequent resuspension is a
potential transmission pathway and effective sanitization is critical in minimizing aerosol
transmission of SARS-CoV-2.
Background
Circulating in China and 94 other countries and territories, the COVID-19 epidemic
has resulted in 103,168 confirmed cases including 22,355 outside mainland China, with
3,507 deaths reported (March 7, 2020). Due to its increasing threat to global health, WHO
has declared that the COVID-19 epidemic was a global public health emergency. The
causative pathogen of the COVID-19 outbreak has been identified as a highly infectious
novel coronavirus which is referred to as the Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2).1-3
The transmission of SARS-CoV-2 in humans is thought to be via at least 3 sources: 1)
inhalation of liquid droplets produced by and/or 2) close contact with infected persons and 3)
contact with surfaces contaminated with SARS-CoV-2.4 Moreover, aerosol transmission of
pathogens has been shown in confined spaces.5,6 There are many respiratory diseases
spread by the airborne route such as tuberculosis, measles and chickenpox.7,8 A
retrospective cohort study conducted after the SARS epidemic in Hong Kong in 2003
suggested that airborne spread may have played an important role in the transmission of
that disease.9 At present, there is little information on the characteristics of airborne SARS-
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CoV-2 containing aerosols, their concentration patterns and behaviour during airborne
transmission due to the difficulties in sampling virus-laden aerosols and challenges in their
quantification at low concentration. Such a lack of understanding limits effective risk
assessment, prevention and control of COVID-19 disease outbreaks. This study on airborne
SARS-CoV-2 was conducted in different areas inside two hospitals and public areas in
Wuhan, China, the epicenter city during the initial disease outbreak. We aimed to 1) quantify
the concentrations of airborne SARS-CoV-2 both inside the hospitals and in outdoor public
areas, 2) evaluate the aerodynamic size distributions of SARS-CoV-2 aerosols that may
mediate its airborne transmission, and 3) determine the dry deposition rate of the airborne
SARS-CoV-2 in a patient ward room.
Methods
1. Study design
This study is an experimental investigation on the concentration and aerodynamic
characteristics of airborne SARS-CoV-2 aerosol in different areas of two hospitals: the
Renmin Hospital of Wuhan University, designated for treatment of severe symptom COVID-
19 patient during the disease outbreak and the Wuchang Fangcang Field Hospital, one of
the first temporary hospitals which was renovated from an indoor sports stadium to
quarantine and treat mildly symptom patients, and outdoor public areas in Wuhan during the
coronavirus outbreak. We further classified the sampling locations into three categories
according to their accessibility by different groups: 1) Patient Areas (PAA), where the
COVID-19 patients have physical presence. These include the Intensive Care Units (ICU),
Coronary Care Units (CCU) and ward rooms inside Renmin Hospital, a toilet and staff
workstations inside Fangcang Hospital; 2) Medical Staff Areas (MSA), the workplaces in the
two hospitals exclusively accessed by the medical staff who had direct contact with the
patients and 3) Public Areas (PUA), which were venues open for the general public. The
description and characteristics of sampling sites are shown in Table S1.
Three types of aerosol samples were collected: 1) Aerosol samples of total
suspended particles (TSP) with no upper size limit to quantify RNA concentration of SARS-
CoV-2 aerosol; 2) Aerodynamic size segregated aerosol samples to determine the size
distribution of airborne SARS-CoV-2; 3) Aerosol deposition samples to determine the
deposition rate of airborne SARS-CoV-2.
2. Sample collection
The sampling was conducted between February 17 and March 2, 2020 in the
locations by two batches as shown in Table 1. All aerosol samples were collected on
presterilized gelatin filters (Sartorius, Germany). Total of 30 TSP aerosol samples were
collected on 25 mm diameter filters loaded into styrene filter cassettes (SKC Inc, US) and
sampled air at a fixed flow rate of 5.0 litre per minute (LPM) using a portable pump (APEX2,
Casella, US). Total of 3 size segregated aerosol samples were collected using a miniature
cascade impactor (Sioutas impactor, SKC Inc., US) that separate aerosol into five ranges (>
2.5 m, 1.0 to 2.5 m, 0.50 to 1.0 m and 0.25 to 0.50 m on 25 mm filter substrates, and 0
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to 0.25 m on 37 mm filters) at a flow rate of 9.0 LPM. Total of 2 aerosol deposition samples
were collected using 80 mm diameter filters packed into a holder with an effective deposition
area of 43.0 cm2 and the filters were placed on the floor in two corners of Renmin Hospital
ICU room intact for 7 days. Sampling durations and operation periods are detailed in Table
S1. Prior to the field sampling, the integrity and robustness of experiment protocol was
examined in the laboratory and described in Supplementary Appendix (Table S2).
3. Analytical method and data analysis
After aerosol sample collection, all samples were handled immediately in the BSL-2
laboratory of Wuhan University. The 25, 37mm and 80 mm filter samples were dissolved in
deionized water, then TRIzol LS Reagent (Invitrogen) was added to inactivate SARS-CoV-2
viruses and extract RNA according to the manufacturer’s instruction. First strand cDNA was
synthesized using PrimeScript RT kit (TakaRa). Optimized ddPCR was used to detect the
presence of SARS-CoV-2 viruses following our previous study.10 Analysis of the ddPCR data
was performed with QuantaSoft software (Bio-Rad). The concentration reported by the
procedure equals copies of template per microliter of the final 1x ddPCR reaction, which was
normalized to copies m-3 in all the results, and hence the virus or viral RNA concentration in
aerosol is expressed in copies m-3 hereafter. A detailed protocol is provided in
Supplementary Appendix.
Results
1. Airborne SARS-CoV-2 concentrations
The airborne SARS-CoV-2 concentrations in different categorized sites are shown in
Table 1. The ICU, CCU and ward room in PAA of Renmin Hospital had negative test results.
Fangcang Hospital workstations in different zones had low concentrations (1-9 copies m-3) of
SARS-CoV-2 aerosol. The highest concentration in PAA of two hospitals was observed
inside the patient mobile toilet room (19 copies m-3). In MSAs, the two sampling sites in
Renmin Hospital had low concentration of 6 copies m-3, while the sites in Fangcang Hospital
in general had higher concentrations. Particularly, the Protective Apparel Removal Rooms
(PARRs) in three different zones inside Fangcang Hospital are among the upper range of
airborne SARS-CoV-2 concentration from 18 to 42 copies m-3 in the first batch of sampling.
During the second batch of sampling, the two TSP samples in the PARRs had negative test
results with reduced number of medical staff and more rigorous sanitization processes in
Fangcang. In PUA, SARS-CoV-2 aerosol concentrations were below 3 copies m-3, except for
two occasions: one crowd gathering site near the entrance of a department store with
frequent customer flow and one outdoor site next to Renmin Hospital with outpatients and
passengers passing by.
2. Size distribution of SARS-CoV-2 aerosol
Figure 1 shows the SARS-CoV-2 aerosol concentrations in different aerodynamic
size bins collected from PARRs in Zone B and C, and Medical Staff’s Office in Fangcang
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Hospital. The peak concentration of SARS-CoV-2 aerosols appears in two distinct size
ranges, one in the submicron region with aerodynamic diameter dominant between 0.25 to
1.0 µm, and the other peak in supermicron region with diameter larger than 2.5 µm. The
submicron region was dominantly noted in PARRs in Zone B and C of Fangcang Hospital
(Figure 1a and 1b) with peak concentration of 40 and 9 copies m-3 in 0.25 to 0.5 µm and 0.5
to 1.0 µm, respectively. Whereas the supermicron region was observed in Fangcang
Hospital Zone C PARR and Medical Staff’s Office (Figure 1b and 1c) with 7 and 9 copies m-3.
The two concentration peaks in sub- and supermicron ranges have independent existence in
SARS-CoV-2 aerosols and they do not necessarily co-exist indicating possible different
formation mechanisms.
Figure 1 Concentration of airborne SARS-CoV-2 RNA in different aerosol size bins
3. Deposition rate of SARS-CoV-2 aerosol
The aerosol deposition sample collected from the Renmin Hospital ICU room had raw counts
of SARS-CoV-2 RNA significantly above the detection limit as shown in Table S1, although
the TSP aerosol sample concentration inside this ICU room was below detection limit during
the 3 hour sampling period. The much longer integration time of 7 days for the deposition
sample has contributed to the accumulation of virus sediment. The area normalized
deposition rate inside the ICU room is calculated to be 31 and 113 copies m-2 hour-1. The
sample with the higher deposition rate was placed in the hindrance-free corner of the room,
approximately 3 meters from the patient’s bed. The other sample recorded lower virus
copies and it was placed in another corner with medical equipment above, and
approximately 2 meters from the patient’s bed. This may have blocked the path of virus
aerosol sediment.
Discussion
Generally undetectable or very low concentrations of airborne SARS-CoV-2 were
found in most PAA inside the two hospitals in Wuhan. The negative pressure ventilation and
high air exchange rate inside ICU, CCU and ward room of Renmin Hospital are effective in
minimizing airborne SARS-CoV-2. Fangcang Hospital hosted over 200 mild symptom
patients in each zone during the peak of the COVID-19 outbreak. However, the SARS-CoV-
2 aerosol concentrations inside the patient hall were very low during the two batches of
sampling periods, showing the protective and preventive measures taken in Fangcang
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Hospital are effective in hindering the aerosol transmission and reducing the potential
infection risks of the medical staff. Inside the Renmin Hospital ICU rooms, the two aerosol
deposition samples tested positive with an estimated deposition rate of 31 and 113 copies m-
2 hr-1. The deposited virus may come from respiratory droplet or virus-laden aerosol
transmission. Our findings add support to a hypothesis that virus-laden aerosol deposition
may play a role in surface contamination and subsequent contact by susceptible people
resulting in human infection.
This study also recorded an elevated airborne SARS-CoV-2 concentration inside the
patient mobile toilet of Fangcang Hospital. This may come from either the patient's breath or
the aerosolization of the virus-laden aerosol from patient’s faeces or urine during use. Ong et
al. has found the wipe samples from room surfaces of toilets used by SARS-CoV-2 patients
tested positive.11 Our finding has confirmed the aerosol transmission as an important
pathway for surface contamination. We call for extra care and attention on the proper design,
use and disinfection of the toilets in hospitals and in communities to minimize the potential
source of the virus-laden aerosol.
MSAs in general have higher concentration of SARS-CoV-2 aerosol with biomodal
size distributions compared to PAA in both hospitals during the first batch of sampling in the
peak of COVID-19 outbreak. For Renmin Hospital sampling sites, the air circulation in MSA
by design is isolated from that of the patient rooms. While for Fangcang Hospital, the non-
ventilated temporary PARR has limited air penetration from the patient hall where the SARS-
CoV-2 aerosol concentration was generally low. We believe one direct source of the high
SARS-CoV-2 aerosol concentration may be the resuspension of virus-laden aerosol from the
surface of medical staff protective apparel while they are being removed. These
resuspended virus-laden aerosol originally may come from the direct deposition of
respiratory droplets or virus-laden aerosol onto the protective apparel while medical staff
having long working hours inside PAA, as shown from the SARS-CoV-2 deposition results in
ICU room. Another possible source is the resuspension of floor dust aerosol containing virus
that were transferred from PAA to MSA. The two virus-laden aerosol sources also appear to
correspond to the sub- and supermicron peaks found in size-segregated samples. We
hypothesize the submicron aerosol may come from the resuspension of virus-laden aerosol
from staff apparel due to its higher mobility while the supermicron virus-laden aerosol may
come from the resuspension of dust particles from the floors or other hard surfaces. The
findings suggest virus-laden aerosols could first deposit on the surface of medical staff
protective apparel and the floors in patient areas and are then resuspended by the
movements of medical staff. The second batch of TSP samples taken in Fangcang MSAs all
tested negative with reduced number of patients from > 200 to 100 per zone and
implementation of more rigorous and thorough sanitization measures in Fangcang. The
comparison of the two batches of samples showed the effectiveness and importance of
sanitization in reducing the airborne SARS-CoV-2 in high risk areas.
In PUA outside the hospitals, we found the majority of the sites have undetectable or
very low concentrations of SARS-CoV-2 aerosol, except for one crowd gathering site about 1
meter to the entrance of a department store with customers frequently passing through, and
the other site next to Renmin Hospital where the outpatients and passengers passed by. It is
possible that asymptomatic carriers of COVID-19 in the crowd may have contributed as the
source of virus-laden aerosol during the sampling period.12,13 The results showed overall low
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risks in the public venues but do reinforce the importance of avoiding crowded gatherings
and implementing early identification and diagnosis of asymptomatic carriers for early
quarantine or treatment. Personal protection equipment such as wearing masks in public
places or while in transit may reduce aerosol exposure and transmission.
The results from this study provide the first field report on the characteristics of
airborne SARS-CoV-2 in Wuhan with important implications for the public health prevention
and medical staff protection. We call for particular attentions on 1) the proper use and
cleaning of toilets (e.g. ventilation and sterilization), as a potential spread source of
coronavirus with relatively high risk caused by aerosolization of virus and contamination of
surfaces after use; 2) for the general public, the proper use of personal protection measures,
such as wearing masks and avoiding busy crowds; 3) the effective sanitization of the high
risk area and the use of high level protection masks for medical staff with direct contact with
the COVID-19 patients or with long stay in high risk area; 4) the renovation of large stadiums
as field hospitals with nature ventilation and protective measures is an effective approach to
quarantine and treat mild symptom patients so as to reduce the COVID-19 transmission
among the public; 5) the virus may be resuspended from the contaminated protective
apparel surface to the air while taking off and from the floor surface with the movement of
medical staff. Thus, surface sanitization of the apparel before they are taken off may also
help reduce the infection risk for medical staff.
Acknowledgement
This study was supported by Special Fund for COVID-19 Research of Wuhan University. We
are grateful to Taikang Insurance Group Co., Ltd, Beijing Taikang Yicai Foundation, Renmin
Hospital and Wuchang Fangcang Hospital for their great support to this work. We would like
to thank Prof. Hongmei Xu from Xi’an Jiaotong University, Qingdao Laoying Environmental
Technology Co., Ltd, Beijing Top Science Co.,Ltd, Shanghai Leon Scientific Instrument
Co.,Ltd, Shanghai Eureka Environmental Protection Hi-tech. Ltd, Sapiens Environmental
Technology Co., Ltd for their support in providing the sampling devices and technical support
in this study. The authors also thank Cuiping Wang, Qingli Zhang, Guoping Liang, Zhao
Song for their assistance in filter sample preparation and logistics support.
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1
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Table 1. Concentration of airborne SARS-CoV-2 at different locations in Wuhan
Category Sites Sample Type
Concentration
(copies m-3)
Patient Areas (PAA)
Fangcang
Hospital
1. Zone A Workstation#
TSP
a
TSP
b
2. Zone B Workstation
TSP
3. Zone C Workstation#
TSP
a
TSP
b
4. Patient Mobile Toilet Room
TSP
19
Renmin
Hospital
5. Intensive Care Unit (ICU)
TSP
6. Intensive Care Unit (ICU)
Deposition
31*
7. Intensive Care Unit
(ICU)
Deposition
113*
8. Coronary Care Unit (CCU)
TSP
9. Ward Zone 16
TSP
Medical Staff Areas (MSA)
Fangcang
Hospital
10. Zone A Protective Apparel Removal
Room (PARR) #
TSP
a
16
TSP
b
11. Zone B Protective Apparel Removal
Room (PARR) Size Segregated 42
12. Zone C Protective Apparel Removal
Room (PARR) #
Size Segregated
a
20
TSP
b
13. Male Staff Change Room
TSP
20
14. Female Staff Change Room
TSP
11
15. Medical Staff’s Office
Size Segregated
20
16. Meeting Room
TSP
18
17. Warehouse #
TSP
21
TSP
Renmin
Hospital
18. Passageway for Medical Staff
TSP
19. Dining Room for Medical Staff
TSP
Public Areas (PUA)
20. Fangcang Hospital Pharmacy
TSP
21. Renmin Hospital Doctor Office
TSP
22. Renmin Hospital
Outpatient Hall
TSP
23. Renmin Hospital Outdoor
TSP
24. University Office Doorside
TSP
25. University Hospital Outpatient Hall
TSP
26. Community Check Point
TSP
27. Residential Building
TSP
28. Supermarket
TSP
29. Department
Store 1
TSP
11
30. Department Store 2
TSP
31. Blank Control #
Field Blank
a
Field Blank
b
0
Note:
* The reported values are virus aerosol deposition rate in copies m-2 hour-1.
# Two batches of sampling were conducted for the sites. Detailed information is shown in Table S1.
a The samples taken during the first batch of sampling from Feb 17 to Feb 24, 2020.
b The samples taken during the second batch of sampling on Mar 2, 2020.
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... SARS-CoV-2 can be transmitted directly from human to human and indirectly via contaminated objects. [7] Person-to-person transmission of SARS-CoV-2 occurs mainly via respiratory droplets spread by coughs, sneezes, or even talking. Droplets usually cannot proceed more than six feet. ...
... Meantime personal protective equipment could also be considered as the possible source of airborne infections. [7] Transmission factors are varied from environmental, behavioral, and physical to virological (viral loading, location of virus receptor, etc.) features which can infected individuals and cause serious problems. [25] SARS-CoV-2 aerosol spread can occur when a person touches a contaminated surface, and then, the hands contact with mucous membranes such as the mouth, nose, or eyes. ...
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... The infection in ICUs was higher than general wards. The presence of the virus was widely detected in the air at a distance of 4 m from the patient bed (Yuan et al. 2020).The results of some studies are in contrast to findings of our study, which can be due to the difference in the ventilation and method and type of disinfection. particles in the air of infection isolation rooms equipped with ventilation in the general department of the hospital. ...
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This study aimed to investigate the presence/absence of SARS-CoV-2 genome in the air and high-touch surfaces. This cross-sectional study was conducted from late-2020 to mid-2021 in the sections of Intensive Care Unit (ICU), emergency, infectious disease ward, and nursing station of the COVID-19 patient reception center in Kerman, Iran. The presence/absence of SARS-CoV-2 genome in the 60 samples of high-touch surfaces and 23 air samples was analyzed by reverse transcription polymerase chain reaction (RT-PCR). Fisher’s exact test was used to compare the number of positive samples in different sampling sites. The genome of SARS-CoV-2 was found in the eight samples (13.32%) taken from the high-touch surfaces (two samples in COVID-19 ICU, two samples in general ICU, two samples in emergency ward, and two samples in nursing station) and two air samples (8.70%) (one sample in the general ICU and one sample in the emergency ward). Statistical analysis showed that there was no significant difference between the type of sampling site and the positive cases of SARS-CoV-2 in the surface samples (p value = 0.80) and air samples (p value = 0.22). According to the results, the SARS-CoV-2 can find in the high-touch surfaces and indoor air of the COVID-19 patient reception centers. Therefore, suitable safety and health measures should be taken, including regular and accurate disinfection of surfaces and equipment and proper ventilation to protect healthcare workers and prevent disease transmission. More studies are recommended to investigate the SARS-CoV-2 concentration in the high-touch surfaces and air samples in the similar researches, efficacy of different disinfectants used on the high-touch surfaces and compare the effect of type of ventilation (natural or mechanical) on the viral load.
... Glo Germ is a fluorescent resin powder with particle size between 1 and 5 µm (SARS-COV-2 is 0.07-1.2 µm) (Liu et al., 2020). The experiments were conducted in a dark operating room. ...
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The recent COVID-19 pandemic has made important changes to the everyday practice of anaesthetists. Current research has shown that the virus spreads via respiratory droplets and aerosolisation. The aim of this study was to examine the extent of contact contamination, droplet spread and aerosolisation, which may occur with normal breathing and intubation in a mannequin study. In the first experiment, an Ambu bag was attached to the simulation mannequin’s trachea and an atomiser device was placed into the mannequin’s pharynx. This model simulated normal ventilation as 0.5 ml of luminescent fluid was sprayed through the atomiser. In the second experiment, the mannequin was intubated with a videolaryngoscope while spraying 0.5 ml of luminescent fluid through the atomiser, after which the laryngoscope was removed. The spread of the luminescent aerosol cloud after three full breaths, droplet spread and contact contamination were visualised using ultraviolet light. The extent of spread was evaluated using a 4-point Likert scale (0 to 3) by two observers. Each of the experiments was repeated five times. For the first experiment, aerosol formation, droplet spread and contact contamination were 2.5 (2–3), 1 (0–1), 0 (0–1) points. In the second experiment, aerosol formation, droplet spread and contact contamination were 0.5 (0–1), 1 (0–1), 3 (2–3) points, accordingly. Noticeable contact contamination occurs during laryngoscopy and removal of the laryngoscope, whereas droplet contamination with laryngoscopy and normal breathing is minimal. Normal breathing leads to significant aerosol formation.
... 15,16 COVID-19 symptoms have a tendency to disappear after 10 days though viral shedding continues. 17,18 Infection with SARS-CoV-2 primarily attacks individuals in the age category of 30-80 years. 1,19 Moreover, the highest comorbidities rates are seen among COVID-19 cases with existing disease states of hypertension, diabetes mellitus, and cardiovascular diseases. ...
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Purpose: COVID-19, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), is an emerging global public health problem. The disease is believed to affect older people and is accompanied by clinical features such as fever, shortness of breath, and coughing. Currently, there is a lack of information regarding the characteristics of COVID-19 patients in Ethiopia. Thus, this paper aims to evaluate the epidemiological and clinical features of COVID-19 patients in Tigray, Northern Ethiopia. Patients and methods: A total of 6,637 symptomatic and asymptomatic COVID-19 patients collected from six isolation and treatment centers in Tigray between May 7 and October 28, 2020 were retrospectively analyzed. Chi-square test or Fisher's exact test was used to compare the epidemiological and clinical characteristics of COVID-19 patients as appropriate. A p-value <0.05 was considered statistically significant. Results: The mean age of the patients was 31.3±12.8. SARS-CoV-2 infects men more than women with a ratio of 1.85:1. About 16% of the patients were symptomatic, of which 13.3% (95% CI=11.3-15.4%) were admitted to intensive care units and 6.1% (95% CI=4.5-7.6%) were non-survivors. The mortality rate was increased up to 40.3% (95% CI=32.1-48.4%) among patients with severe illness. A higher proportion of deaths were observed in men (73.2%) and 55.4% were in the age group of ≥50 years. About 4.3% (282 of 6,637) had one or more coexisting comorbidities; the most common being cardiovascular diseases (30.1%) and diabetes mellitus (23.8%). The comorbidity rate in the non-survivor group was significantly higher than in the survivor group (p-value <0.001). Conclusion: The proportion of symptomatic patients was low. Non-survival was linked with old age and the existence of comorbidities. The findings of this study can help in the design of appropriate management strategies for COVID-19 patients, such as giving due emphasis to COVID-19 patients who are old and with comorbidities.
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Background: The mouth plays a crucial role as an entry point for the SARS-CoV-2 virus. The new coronavirus has been identified in saliva, and its viral load has been linked to the severity of COVID-19. Types of studies reviewed: This study was designed as a narrative review. Medline, Scopus and Google Scholar were searched up to January 2021 for articles in English that addressed the role played by the oral cavity and saliva in the coronavirus disease, with particular focus on viral presence in the oral cavity. All relevant scientific articles were included. Results: Hyposalivation can increase the risk for respiratory infections and COVID-19. Oral lesions are rare in COVID-19 patients, with reports of sialadenitis, mucositis, geographic tongue, burning mouth, necrotizing gingivitis and viral enanthema. Transient loss of taste and smell are highly prevalent symptoms, likely related to neurological changes. Practical implications: Given the importance of the oral cavity and saliva in the development and transmission of the coronavirus disease, as health care professionals, dentists have a crucial role to play during the pandemic.
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Background: COVID-19 is associated with huge morbidity and mortality in India. Identication of factors associated with mortality would make a difference in the management of COVID-19 infection-related illness. To eval Objective: uate the risk factors which can predict the outcome in covid 19 survivors and non survivors including patient characteristics, comorbidities, laboratory abnormalities and modes of oxygenation and ventilation among 200 patients with COVID-19 infection admitted to a tertiary care hospital fullling inclusion and exclusion criteria. All the data collected were coded and entered in Microsoft Excel sheet which was re-checked and analyzed using SPSS statistical software version 25. Results: Out of 200 cases, 126(63%) patients were male while 74(37%) patients were female. The overall case-fatality rate among admitted cases was 24(12%) [In non -survivors males (12.7%) and females (0.8%)]. The Univariate analysis showed that more patients in the deceased group had respiratory rate of >30 cycles/min(p<0.001) spo2 75 +/- 13 (p<0.001), Patient who had pulse rate 96+/-19 (p=0.003) found to be signicantly associated. The Mean ± SD of white blood cell count, NLR, SGOT, APTT, S.Bilirubin , Total protein ,Albumin, Creatinine ,RBS, Trop I. CRP, D dimer, LDH ,Ferritin, IL6 ,PCT were statistically signicant and affecting mortality. In non-survived patients needed higher mode of oxygenation .out of 13 patients who required NIV on admission ,15 patients survived and 8 patient non-survived(P=0.002). out of 13 patients who required invasive ventilation, 5 patients survived and 8 patients non survived (p=0.001). Those who received more days of oxygenation they are not survived (6.25±4.19 P=0.001) and those who had prolonged ventilatory days also not survived (4.46±3.50 P=<0.001). Those who had admitted in ICU for mean days of 5±3.60 (p= <0.001) also not survived. All above differences were found to be statistically signicant. There was no signicant difference in the age, gender, clinical features, preexisting comorbidities between the two groups (p>0.05). Multivariate analysis using binary logistic regression was done to nd out independent factors associated with mortality. Logistic regression performed for signicant variables found in the univariate analysis showed higher HRCT CT severity score associated higher odds of death. Conclusion: The higher HRCT CT severity score associated higher odds of death. Lab markers such as raised TLC, NLR, CRP, LDH, ferritin, Ddimer, SGOT, APTT, Sodium, Creatinine, IL6, PCT and low albumin were associated with worse outcomes in COVID-19 illness.
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Current pandemic of the novel coronavirus, COVID-19, affecting nearly 210 countries has brought significant challenges in municipal waste management practices and procedures. It introduces problems regarding the handling and disposal of wastes generated due to affected people and facilities including safety and health measures for employees at the hospitals, municipalities, HCWT facilities, and crematorium, general procedures due to coronavirus for waste sector and special equipment and treatment. The coronavirus crisis has put the resilience of our society to the test which exerts unprecedented pressure on many economic activities, including those that are indispensable to our well-being. The prescriptions and rules reported in the regulation of different countries resulted in any case also influenced by the specific socio-economic context in which they are implemented or not. In comparing the current regulation implemented in Italy, India, and the USA this aspect resulted clearly depicted that the solution of the COVID waste management depends on many factors, namely robust national policy, governance, effective municipal and health care waste administration, effective health care systems, mass awareness, social distancing, using mask and gloves, hand washing, and vaccination. Italy was one of the countries that was affected severely at the initial stage at faster rates most but could recover faster, while India and USA are the biggest democracy among the affected countries. India was less affected at the initial stage, while the USA was affected much. India could develop the vaccine faster supporting many of the countries in the world. Considering the role of India, Italy, and the USA, most significant in the pandemic COVID situation, the article considers to review the waste management situation under pandemic COVID-19 in these three countries.
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The SARS-CoV-2 presence and the bacterial community profile in air samples collected at the Intensive Care Unit (ICU) of the Operational Unit of Infectious Diseases of Santa Caterina Novella Hospital in Galatina (Lecce, Italy) have been evaluated in this study. Air samplings were performed in different rooms of the ICU ward with and without COVID-19 patients. No sample was found positive to SARS-CoV-2, according to Allplex 2019-nCoV Assay. The airborne bacterial community profiles determined by the 16S rRNA gene metabarcoding approach up to the species level were characterized by richness and biodiversity indices, Spearman correlation coefficients, and Principal Coordinate Analysis. Pathogenic and non-pathogenic bacterial species, also detected in outdoor air samples, were found in all collected indoor samples. Staphylococcus pettenkoferi, Corynebacterium tuberculostearicum, and others coagulase-negative staphylococci, detected at high relative abundances in all the patients' rooms, were the most abundant pathogenic species. The highest mean relative abundance of S. pettenkoferi and C. tuberculostearicum suggested that they were likely the main pathogens of COVID-19 patients at the ICU ward of this study. The identification of nosocomial pathogens representing potential patients' risks in ICU COVID-19 rooms and the still controversial airborne transmission of the SARS-CoV-2 are the main contributions of this study. Supplementary information: The online version contains supplementary material available at 10.1007/s10453-022-09754-7.
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Environmental parameters have a significant impact on the spread of respiratory viral diseases (temperature (T), relative humidity (RH), and air saturation state). T and RH are strongly correlated with viral inactivation in the air, whereas supersaturated air can promote droplet deposition in the respiratory tract. This study introduces a new concept, the dynamic virus deposition ratio (α), that reflects the dynamic changes in viral inactivation and droplet deposition under varying ambient environments. A non-steady-state-modified Wells-Riley model is established to predict the infection risk of shared air space and highlight the high-risk environmental conditions. Findings reveal that a rise in T would significantly reduce the transmission of COVID-19 in the cold season, while the effect is not significant in the hot season. The infection risk under low-T and high-RH conditions, such as the frozen seafood market, is substantially underestimated, which should be taken seriously. The study encourages selected containment measures against high-risk environmental conditions and cross-discipline management in the public health crisis based on meteorology, government, and medical research. Graphical abstract
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From December 2019, an outbreak of unusual pneumonia was reported in Wuhan with many cases linked to Huanan Seafood Market that sells seafood as well as live exotic animals. We investigated two patients who developed acute respiratory syndromes after independent contact history with this market. The two patients shared common clinical features including fever, cough, and multiple ground-glass opacities in the bilateral lung field with patchy infiltration. Here, we highlight the use of a low-input metagenomic next-generation sequencing (mNGS) approach on RNA extracted from bronchoalveolar lavage fluid (BALF). It rapidly identified a novel coronavirus (named 2019-nCoV according to World Health Organization announcement) which was the sole pathogens in the sample with very high abundance level (1.5% and 0.62% of total RNA sequenced). The entire viral genome is 29,881 nt in length (GenBank MN988668 and MN988669, Sequence Read Archive database Bioproject accession PRJNA601736) and is classified into β-coronavirus genus. Phylogenetic analysis indicates that 2019-nCoV is close to coronaviruses (CoVs) circulating in Rhinolophus (Horseshoe bats), such as 98.7% nucleotide identity to partial RdRp gene of bat coronavirus strain BtCoV/4991 (GenBank KP876546, 370 nt sequence of RdRp and lack of other genome sequence) and 87.9% nucleotide identity to bat coronavirus strain bat-SL-CoVZC45 and bat-SL-CoVZXC21. Evolutionary analysis based on ORF1a/1b, S, and N genes also suggests 2019-nCoV is more likely a novel CoV independently introduced from animals to humans.
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Since the SARS outbreak 18 years ago, a large number of severe acute respiratory syndrome-related coronaviruses (SARSr-CoV) have been discovered in their natural reservoir host, bats1–4. Previous studies indicated that some of those bat SARSr-CoVs have the potential to infect humans5–7. Here we report the identification and characterization of a novel coronavirus (2019-nCoV) which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China. The epidemic, which started from 12 December 2019, has caused 2,050 laboratory-confirmed infections with 56 fatal cases by 26 January 2020. Full-length genome sequences were obtained from five patients at the early stage of the outbreak. They are almost identical to each other and share 79.5% sequence identify to SARS-CoV. Furthermore, it was found that 2019-nCoV is 96% identical at the whole-genome level to a bat coronavirus. The pairwise protein sequence analysis of seven conserved non-structural proteins show that this virus belongs to the species of SARSr-CoV. The 2019-nCoV virus was then isolated from the bronchoalveolar lavage fluid of a critically ill patient, which can be neutralized by sera from several patients. Importantly, we have confirmed that this novel CoV uses the same cell entry receptor, ACE2, as SARS-CoV.
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Nosocomial transmission of tuberculosis remains an important public health problem. We created an in vivo air sampling model to study airborne transmission of tuberculosis from patients coinfected with human immunodeficiency virus (HIV) and to evaluate environmental control measures. An animal facility was built above a mechanically ventilated HIV-tuberculosis ward in Lima, Peru. A mean of 92 guinea pigs were continuously exposed to all ward exhaust air for 16 months. Animals had tuberculin skin tests performed at monthly intervals, and those with positive reactions were removed for autopsy and culture for tuberculosis. Over 505 consecutive days, there were 118 ward admissions by 97 patients with pulmonary tuberculosis, with a median duration of hospitalization of 11 days. All patients were infected with HIV and constituted a heterogeneous group with both new and existing diagnoses of tuberculosis. There was a wide variation in monthly rates of guinea pigs developing positive tuberculin test results (0%-53%). Of 292 animals exposed to ward air, 159 developed positive tuberculin skin test results, of which 129 had laboratory confirmation of tuberculosis. The HIV-positive patients with pulmonary tuberculosis produced a mean of 8.2 infectious quanta per hour, compared with 1.25 for HIV-negative patients with tuberculosis in similar studies from the 1950s. The mean monthly patient infectiousness varied greatly, from production of 0-44 infectious quanta per hour, as did the theoretical risk for a health care worker to acquire tuberculosis by breathing ward air. HIV-positive patients with tuberculosis varied greatly in their infectiousness, and some were highly infectious. Use of environmental control strategies for nosocomial tuberculosis is therefore a priority, especially in areas with a high prevalence of both tuberculosis and HIV infection.
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We describe an epidemic of chickenpox occurring in a pediatric hospital in which airflow and epidemiologic studies document transmission by an airborne route.
Coronaviridae Study Group of the International Committee on Taxonomy of V. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2
Coronaviridae Study Group of the International Committee on Taxonomy of V. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nat Microbiol 2020.
Surface Environmental, and Personal Protective Equipment Contamination by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) From a Symptomatic Patient
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Suo T, Liu X, Guo M, et al. ddPCR: a more sensitive and accurate tool for SARS-CoV-2 detection in low viral load specimens. medRxiv 2020:2020.02.29.20029439. 11. Ong SWX, Tan YK, Chia PY, et al. Air, Surface Environmental, and Personal Protective Equipment Contamination by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) From a Symptomatic Patient. JAMA 2020.