Literature DB >> 32275497

Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020.

Zhen-Dong Guo, Zhong-Yi Wang, Shou-Feng Zhang, Xiao Li, Lin Li, Chao Li, Yan Cui, Rui-Bin Fu, Yun-Zhu Dong, Xiang-Yang Chi, Meng-Yao Zhang, Kun Liu, Cheng Cao, Bin Liu, Ke Zhang, Yu-Wei Gao, Bing Lu, Wei Chen.   

Abstract

To determine distribution of severe acute respiratory syndrome coronavirus 2 in hospital wards in Wuhan, China, we tested air and surface samples. Contamination was greater in intensive care units than general wards. Virus was widely distributed on floors, computer mice, trash cans, and sickbed handrails and was detected in air ≈4 m from patients.

Entities:  

Keywords:  2019 novel coronavirus disease; COVID-19; China; SARS-CoV-2; Wuhan; aerosol; coronavirus disease; exposure risk; hospital-associated infection; medical staff protection; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses

Mesh:

Substances:

Year:  2020        PMID: 32275497      PMCID: PMC7323510          DOI: 10.3201/eid2607.200885

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


As of March 30, 2020, approximately 750,000 cases of coronavirus disease (COVID-19) had been reported globally since December 2019 (), severely burdening the healthcare system (). The extremely fast transmission capability of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has aroused concern about its various transmission routes. The main transmission routes for SARS-CoV-2 are respiratory droplets and close contact (). Knowing the extent of environmental contamination of SARS-CoV-2 in COVID-19 wards is critical for improving safety practices for medical staff and answering questions about SARS-CoV-2 transmission among the public. However, whether SARS-CoV-2 can be transmitted by aerosols remains controversial, and the exposure risk for close contacts has not been systematically evaluated. Researchers have detected SARS-CoV-2 on surfaces of objects in a symptomatic patient’s room and toilet area (). However, that study was performed in a small sample from regions with few confirmed cases, which might not reflect real conditions in outbreak regions where hospitals are operating at full capacity. In this study, we tested surface and air samples from an intensive care unit (ICU) and a general COVID-19 ward (GW) at Huoshenshan Hospital in Wuhan, China (Figure 1).
Figure 1

Layout of the intensive care unit (ICU) (A) and general ward (B) at Huoshenshan Hospital, Wuhan, China. For the ICU, the order of dressing is dressing room 1, dressing room 2, and dressing room 3; the order of undressing is dressing room 4, dressing room 5, and dressing room 6. The isolation ward of ICU is a large floor space with 15 cubicles (each with a patient bed) along the 2 opposite perimeters. Each cubicle is open to the central open area without any partition. For the general ward, the order of dressing is dressing room 1, dressing room 2, and dressing room 3; the order of undressing is dressing room 4, dressing room 5, and buffer room 1. The contaminated area of the general ward contains a patient corridor, and the 1-sided cubicles are all enclosed with door access to the corridor.

Layout of the intensive care unit (ICU) (A) and general ward (B) at Huoshenshan Hospital, Wuhan, China. For the ICU, the order of dressing is dressing room 1, dressing room 2, and dressing room 3; the order of undressing is dressing room 4, dressing room 5, and dressing room 6. The isolation ward of ICU is a large floor space with 15 cubicles (each with a patient bed) along the 2 opposite perimeters. Each cubicle is open to the central open area without any partition. For the general ward, the order of dressing is dressing room 1, dressing room 2, and dressing room 3; the order of undressing is dressing room 4, dressing room 5, and buffer room 1. The contaminated area of the general ward contains a patient corridor, and the 1-sided cubicles are all enclosed with door access to the corridor.

The Study

From February 19 through March 2, 2020, we collected swab samples from potentially contaminated objects in the ICU and GW as described previously (). The ICU housed 15 patients with severe disease and the GW housed 24 patients with milder disease. We also sampled indoor air and the air outlets to detect aerosol exposure. Air samples were collected by using a SASS 2300 Wetted Wall Cyclone Sampler (Research International, Inc., https://www.resrchintl.com) at 300 L/min for of 30 min. We used sterile premoistened swabs to sample the floors, computer mice, trash cans, sickbed handrails, patient masks, personal protective equipment, and air outlets. We tested air and surface samples for the open reading frame (ORF) 1ab and nucleoprotein (N) genes of SARS-CoV-2 by quantitative real-time PCR. (Appendix). Almost all positive results were concentrated in the contaminated areas (ICU 54/57, 94.7%; GW 9/9, 100%); the rate of positivity was much higher for the ICU (54/124, 43.5%) than for the GW (9/114, 7.9%) (Tables 1, 2). The rate of positivity was relatively high for floor swab samples (ICU 7/10, 70%; GW 2/13, 15.4%), perhaps because of gravity and air flow causing most virus droplets to float to the ground. In addition, as medical staff walk around the ward, the virus can be tracked all over the floor, as indicated by the 100% rate of positivity from the floor in the pharmacy, where there were no patients. Furthermore, half of the samples from the soles of the ICU medical staff shoes tested positive. Therefore, the soles of medical staff shoes might function as carriers. The 3 weak positive results from the floor of dressing room 4 might also arise from these carriers. We highly recommend that persons disinfect shoe soles before walking out of wards containing COVID-19 patients.
Table 1

Results of testing for SARS-CoV-2 in intensive care unit, Huoshenshan Hospital, Wuhan, China, 2020*

Area, sample
Intense positive/weak positive/negative†
Rate of positivity, %
Average virus concentration‡
Contaminated area
Isolation wards
Floor6/1/3706.6 × 104
Computer mouse4/2/2752.8 × 104
Trash can0/3/2603.4 × 104
Sickbed handrail2/4/842.94.3 × 104
Patient mask1/1/3403.3 × 103
Air outlet filter4/4/466.71.5 × 105
Indoor air near the air outlet (sampling site 1 in Figure 2, panel A)2/3/935.73.8
Indoor air near the patients (sampling site 2 in Figure 2, panel A)2/6/1044.41.4
Indoor air near the doctors’ office area (sampling site 3 in Figure 2, panel A)0/1/712.50.52
Pharmacy
Floor3/0/01007.45 × 104
Indoor air0/0/50ND
  PPE
Face shield of medical staff0/0/60ND
Sleeve cuff of medical staff0/1/516.77.1 × 103
Glove of medical staff0/1/3252.9 × 103
Shoe sole of medical staff3/0/3503.2 × 104
Subtotal
27/27/70
43.5
NA
Semicontaminated area
Buffer room 1
Floor0/0/50ND
Air outlet filter0/0/30ND
Indoor air0/0/50ND
Doorknob0/0/30ND
Dressing room 4
Floor0/3/537.53.8 × 103
Air outlet filter0/0/30ND
Indoor air0/0/50ND
Doorknob0/0/40ND
Subtotal
0/3/33
8.3
NA
Clean area
Dressing rooms 1, 2, and 3
Doorknob0/0/100ND
Floor0/0/120ND
Indoor air0/0/80ND
Nurse station
Doorknob0/0/50ND
Floor0/0/50ND
Indoor air0/0/50ND
Dressing rooms 5 and 6, buffer rooms 2 and 3
Doorknob0/0/120ND
Floor0/0/120ND
Indoor air0/0/120ND
Subtotal



Total27/30/18423.7NA

*NA, not applicable; ND, not determined; PPE, personal protective equipment; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
†Intense positive indicates a positive result for both open reading frame 1ab gene and nucleoprotein gene of SARS-CoV-2; weak positive indicates a positive result for only 1 of the genes.
‡The average virus concentration of indoor air expressed as copies/L and of swab samples, as copies/sample.

Table 2

Results of testing for SARS-CoV-2 in general ward, Huoshenshan Hospital, Wuhan, China, 2020*

Area, sample
Intense positive/weak positive/negative†
Rate of positivity, %
Average virus concentration‡
Contaminated area
Isolation ward
Floor1/1/1115.41.6 × 104
Doorknob0/1/118.36.5 × 102
Air outlet0/1/118.33.4 × 103
Sickbed handrail0/0/120ND
Patient mask1/1/8209.2 × 103
Indoor air (sampling site 1 in Figure 2, panel C)0/2/918.20.68
Indoor air (sampling site 2 in Figure 2, panel C)0/0/50ND
Patient corridor
Floor0/0/100ND
Computer mouse or keyboard0/1/4203.9 × 103
Trash can0/0/80ND
Indoor air0/0/40ND
PPE
Face shield of medical staff0/0/30ND
Sleeve cuff of medical staff0/0/30ND
Glove of medical staff0/0/30ND
Shoe sole of medical staff0/0/30ND
Subtotal
2/7/105
7.9
NA
Semicontaminated area
Dressing Room 4
Floor0/0/50ND
Indoor air0/0/50ND
Doorknob0/0/30ND
Buffer Room 3
Floor0/0/50ND
Indoor air0/0/30ND
Doorknob0/0/30ND
Subtotal
0/0/24
0
NA
Clean area
Dressing Rooms 1, 2, 3, and 5
Doorknob0/0/120ND
Floor0/0/120ND
Indoor air0/0/60ND
Buffer rooms 1 and 2
Doorknob0/0/60ND
Floor0/0/60ND
Indoor air0/0/40ND
Subtotal
0/0/46
0
NA
Total2/7/1754.9NA

*NA, not applicable; ND, not determined; PPE, personal protective equipment; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
†Intense positive indicates a positive result for both open reading frame 1ab gene and nucleoprotein gene of SARS-CoV-2; weak positive indicates a positive result for only 1 of the genes.
‡The average virus concentration of indoor air expressed as copies/L and of swab samples, as copies/sample.

*NA, not applicable; ND, not determined; PPE, personal protective equipment; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
†Intense positive indicates a positive result for both open reading frame 1ab gene and nucleoprotein gene of SARS-CoV-2; weak positive indicates a positive result for only 1 of the genes.
‡The average virus concentration of indoor air expressed as copies/L and of swab samples, as copies/sample. *NA, not applicable; ND, not determined; PPE, personal protective equipment; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
†Intense positive indicates a positive result for both open reading frame 1ab gene and nucleoprotein gene of SARS-CoV-2; weak positive indicates a positive result for only 1 of the genes.
‡The average virus concentration of indoor air expressed as copies/L and of swab samples, as copies/sample. The rate of positivity was also relatively high for the surface of the objects that were frequently touched by medical staff or patients (Tables 1, 2). The highest rates were for computer mice (ICU 6/8, 75%; GW 1/5, 20%), followed by trash cans (ICU 3/5, 60%; GW 0/8), sickbed handrails (ICU 6/14, 42.9%; GW 0/12), and doorknobs (GW 1/12, 8.3%). Sporadic positive results were obtained from sleeve cuffs and gloves of medical staff. These results suggest that medical staff should perform hand hygiene practices immediately after patient contact. Because patient masks contained exhaled droplets and oral secretions, the rate of positivity for those masks was also high (Tables 1, 2). We recommend adequately disinfecting masks before discarding them. We further assessed the risk for aerosol transmission of SARS-CoV-2. First, we collected air in the isolation ward of the ICU (12 air supplies and 16 air discharges per hour) and GW (8 air supplies and 12 air discharges per hour) and obtained positive test results for 35% (14 samples positive/40 samples tested) of ICU samples and 12.5% (2/16) of GW samples. Air outlet swab samples also yielded positive test results, with positive rates of 66.7% (8/12) for ICUs and 8.3% (1/12) for GWs. These results confirm that SARS-CoV-2 aerosol exposure poses risks. Furthermore, we found that rates of positivity differed by air sampling site, which reflects the distribution of virus-laden aerosols in the wards (Figure 2, panel A). Sampling sites were located near the air outlets (site 1), in patients’ rooms (site 2), and (site 3). SARS-CoV-2 aerosol was detected at all 3 sampling sites; rates of positivity were 35.7% (5/14) near air outlets, 44.4% (8/18) in patients’ rooms, and 12.5% (1/8) in the doctors’ office area. These findings indicate that virus-laden aerosols were mainly concentrated near and downstream from the patients. However, exposure risk was also present in the upstream area; on the basis of the positive detection result from site 3, the maximum transmission distance of SARS-CoV-2 aerosol might be 4 m. According to the aerosol monitoring results, we divided ICU workplaces into high-risk and low-risk areas (Figure 2, panel B). The high-risk area was the patient care and treatment area, where rate of positivity was 40.6% (13/32). The low-risk area was the doctors’ office area, where rate of positivity was 12.5% (1/8).
Figure 2

Spatial distribution of severe acute respiratory syndrome coronavirus 2 aerosols in isolation wards of the intensive care unit (ICU) and the general ward at Huoshenshan Hospital, Wuhan, China. A) The air sampling sites in the ICU were distributed in different regions: near the air outlet (site 1), near the patients (site 2), and around the doctors’ office area (site 3). Orange circles represent sampling sites; blue arrows represent direction of the fresh air flow; and the graded orange arrow and scale bar indicate the horizontal distance from the patient’s head. B) In terms of viral aerosol distribution, the space in the ICU was divided into 2 parts: a high-risk area with a 40.6% rate of virus positivity and a low-risk area with a 12.5% rate of virus positivity. C) The air sampling sites in the general ward were distributed in different regions around the patient (site 1), under the air inlet (site 2), and in the patient corridor. D) In terms of the viral aerosol distribution, the space in the general ward was divided into 2 parts: a high-risk area with a 12.5% rate of virus positivity and a low-risk area with a 0% rate of virus positivity.

Spatial distribution of severe acute respiratory syndrome coronavirus 2 aerosols in isolation wards of the intensive care unit (ICU) and the general ward at Huoshenshan Hospital, Wuhan, China. A) The air sampling sites in the ICU were distributed in different regions: near the air outlet (site 1), near the patients (site 2), and around the doctors’ office area (site 3). Orange circles represent sampling sites; blue arrows represent direction of the fresh air flow; and the graded orange arrow and scale bar indicate the horizontal distance from the patient’s head. B) In terms of viral aerosol distribution, the space in the ICU was divided into 2 parts: a high-risk area with a 40.6% rate of virus positivity and a low-risk area with a 12.5% rate of virus positivity. C) The air sampling sites in the general ward were distributed in different regions around the patient (site 1), under the air inlet (site 2), and in the patient corridor. D) In terms of the viral aerosol distribution, the space in the general ward was divided into 2 parts: a high-risk area with a 12.5% rate of virus positivity and a low-risk area with a 0% rate of virus positivity. In the GW, site 1 was located near the patients (Figure 2, panel C). Site 2 was located ≈2.5 m upstream of the air flow relative to the heads of patients. We also sampled the indoor air of the patient corridor. Only air samples from site 1 tested positive (18.2%, 2/11). The workplaces in the GW were also divided into 2 areas: a high-risk area inside the patient wards (rate of positivity 12.5, 2/16) and a low-risk area outside the wards (rate of positivity 0) (Figure 2, panel D).

Conclusions

This study led to 3 conclusions. First, SARS-CoV-2 was widely distributed in the air and on object surfaces in both the ICU and GW, implying a potentially high infection risk for medical staff and other close contacts. Second, the environmental contamination was greater in the ICU than in the GW; thus, stricter protective measures should be taken by medical staff working in the ICU. Third, the SARS-CoV-2 aerosol distribution characteristics in the ICU indicate that the transmission distance of SARS-CoV-2 might be 4 m. As of March 30, no staff members at Huoshenshan Hospital had been infected with SARS-CoV-2, indicating that appropriate precautions could effectively prevent infection. In addition, our findings suggest that home isolation of persons with suspected COVID-19 might not be a good control strategy. Family members usually do not have personal protective equipment and lack professional training, which easily leads to familial cluster infections (). During the outbreak, the government of China strove to the fullest extent possible to isolate all patients with suspected COVID-19 by actions such as constructing mobile cabin hospitals in Wuhan (), which ensured that all patients with suspected disease were cared for by professional medical staff and that virus transmission was effectively cut off. As of the end of March, the SARS-COV-2 epidemic in China had been well controlled. Our study has 2 limitations. First, the results of the nucleic acid test do not indicate the amount of viable virus. Second, for the unknown minimal infectious dose, the aerosol transmission distance cannot be strictly determined. Overall, we found that the air and object surfaces in COVID-19 wards were widely contaminated by SARS-CoV-2. These findings can be used to improve safety practices.

Appendix

Supplementary methods for study of aerosol and surface distribution of severe acute respiratory syndrome coronavirus 2 in hospital wards, Wuhan, China, 2020.
  6 in total

1.  [Health protection guideline of mobile cabin hospitals during COVID-19 outbreak].

Authors: 
Journal:  Zhonghua Yu Fang Yi Xue Za Zhi       Date:  2020-04-06

2.  Air, Surface Environmental, and Personal Protective Equipment Contamination by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) From a Symptomatic Patient.

Authors:  Sean Wei Xiang Ong; Yian Kim Tan; Po Ying Chia; Tau Hong Lee; Oon Tek Ng; Michelle Su Yen Wong; Kalisvar Marimuthu
Journal:  JAMA       Date:  2020-04-28       Impact factor: 56.272

3.  Rapid deployment of a mobile biosafety level-3 laboratory in Sierra Leone during the 2014 Ebola virus epidemic.

Authors:  Yi Zhang; Yan Gong; Chengyu Wang; Wensen Liu; Zhongyi Wang; Zhiping Xia; Zhaoyang Bu; Huijun Lu; Yang Sun; Xiaoguang Zhang; Yuxi Cao; Fan Yang; Haoxiang Su; Yi Hu; Yongqiang Deng; Bo Zhou; Zongzheng Zhao; Yingying Fu; David Kargbo; Foday Dafae; Brima Kargbo; Alex Kanu; Linna Liu; Jun Qian; Zhendong Guo
Journal:  PLoS Negl Trop Dis       Date:  2017-05-15

Review 4.  Transmission routes of 2019-nCoV and controls in dental practice.

Authors:  Xian Peng; Xin Xu; Yuqing Li; Lei Cheng; Xuedong Zhou; Biao Ren
Journal:  Int J Oral Sci       Date:  2020-03-03       Impact factor: 6.344

5.  A family cluster of SARS-CoV-2 infection involving 11 patients in Nanjing, China.

Authors:  Rui Huang; Juan Xia; Yuxin Chen; Chun Shan; Chao Wu
Journal:  Lancet Infect Dis       Date:  2020-02-28       Impact factor: 25.071

Review 6.  COVID-19 and Italy: what next?

Authors:  Andrea Remuzzi; Giuseppe Remuzzi
Journal:  Lancet       Date:  2020-03-13       Impact factor: 79.321

  6 in total
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1.  Perspectives on personal protective equipment in acute care facilities during the COVID-19 pandemic.

Authors:  Josh Ng-Kamstra; Henry T Stelfox; Kirsten Fiest; John Conly; Jeanna Parsons Leigh
Journal:  CMAJ       Date:  2020-06-24       Impact factor: 8.262

2.  Retail store customer flow and COVID-19 transmission.

Authors:  Robert A Shumsky; Laurens Debo; Rebecca M Lebeaux; Quang P Nguyen; Anne G Hoen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 11.205

3. 

Authors:  Josh Ng-Kamstra; Henry T Stelfox; Kirsten Fiest; John Conly; Jeanna Parsons Leigh
Journal:  CMAJ       Date:  2020-12-07       Impact factor: 8.262

4.  Barrier Devices, Intubation, and Aerosol Mitigation Strategies: PPE in the Time of COVID-19.

Authors:  Eric A Fried; George Zhou; Ronak Shah; Da Wi Shin; Anjan Shah; Daniel Katz; Garrett W Burnett
Journal:  Anesth Analg       Date:  2020-09-15       Impact factor: 5.108

5.  The Impact of Hospital-Ward Ventilation on Airborne-Pathogen Exposure.

Authors:  Nicola Mingotti; Dorothy Grogono; Gennaro Dello Ioio; Martin Curran; Kathryn Barbour; Marlene Taveira; Josie Rudman; Charles S Haworth; R Andres Floto; Andrew W Woods
Journal:  Am J Respir Crit Care Med       Date:  2021-03-15       Impact factor: 21.405

6.  Environmental Monitoring of A Laboratory for New Coronavirus Nucleic Acid Testing.

Authors:  Pei Yong Ning; Ai Ping Yu; Yuan Wang; Li Ru Guo; Dan Shan; Mei Kong; Ling Qi Yu; Li Kun Lyu; Ming Zou; Xu Su; Chun Nan Fei; Yu Hui Zhou; Bai Qi Wang
Journal:  Biomed Environ Sci       Date:  2020-10-20       Impact factor: 3.118

7.  Epidemiology of COVID-19 in an Urban Dialysis Center.

Authors:  Richard W Corbett; Sarah Blakey; Dorothea Nitsch; Marina Loucaidou; Adam McLean; Neill Duncan; Damien R Ashby
Journal:  J Am Soc Nephrol       Date:  2020-06-19       Impact factor: 10.121

8.  Systems dynamics approach for modelling South Africa's response to COVID-19: A "what if" scenario.

Authors:  Shingirirai Savious Mutanga; Mercy Ngungu; Fhulufhelo Phillis Tshililo; Martin Kaggwa
Journal:  J Public Health Res       Date:  2021-02-01

9.  [Detection and evaluation of SARS-CoV-2 nucleic acid contamination in corona virus disease 19 ward surroundings and the surface of medical staff's protective equipment].

Authors:  X N Yuan; Q Y Meng; N Shen; Y X Li; C Liang; M Cui; Q G Ge; X G Li; K Tan; Q Chen; J Wang; X Y Zeng
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2020-10-18

Review 10.  COVID-19 false dichotomies and a comprehensive review of the evidence regarding public health, COVID-19 symptomatology, SARS-CoV-2 transmission, mask wearing, and reinfection.

Authors:  Kevin Escandón; Angela L Rasmussen; Isaac I Bogoch; Eleanor J Murray; Karina Escandón; Saskia V Popescu; Jason Kindrachuk
Journal:  BMC Infect Dis       Date:  2021-07-27       Impact factor: 3.090

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