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Wong SC, Yip CCY, Chen JHK, Yuen LLH, AuYeung CHY, Chan WM, Chu AWH, Leung RCY, Ip JD, So SYC, Yuen KY, To KKW, Cheng VCC. Investigation of air dispersal during a rhinovirus outbreak in a pediatric intensive care unit. Am J Infect Control 2024; 52:472-478. [PMID: 37972820 DOI: 10.1016/j.ajic.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/03/2023] [Accepted: 11/04/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND While airborne transmission of rhinovirus is recognized in indoor settings, its role in hospital transmission remains unclear. METHODS We investigated an outbreak of rhinovirus in a pediatric intensive care unit (PICU) to assess air dispersal. We collected clinical, environmental, and air samples, and staff's surgical masks for viral load and phylogenetic analysis. Hand hygiene compliance and the number of air changes per hour in the PICU were measured. A case-control analysis was performed to identify nosocomial rhinovirus risk factors. RESULTS Between March 31, 2023, and April 2, 2023, three patients acquired rhinovirus in a cubicle (air changes per hour: 14) of 12-bed PICU. A portable air-cleaning unit was placed promptly. Air samples (72,000 L in 6 hours) from the cohort area, and outer surfaces of staff's masks (n = 8), were rhinovirus RNA-negative. Hand hygiene compliance showed no significant differences (31/34, 91.2% vs 33/37, 89.2%, P = 1) before and during outbreak. Only 1 environmental sample (3.8%) was positive (1.86 × 103 copies/mL). Case-control and next-generation sequencing analysis implicated an infected staff member as the source. CONCLUSIONS Our findings suggest that air dispersal of rhinovirus was not documented in the well-ventilated PICU during the outbreak. Further research is needed to better understand the dynamics of rhinovirus transmission in health care settings.
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Affiliation(s)
- Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Cyril C-Y Yip
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Jonathan H-K Chen
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Lithia L-H Yuen
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Christine H-Y AuYeung
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Wan-Mui Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Allen W-H Chu
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Rhoda C-Y Leung
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jonathan D Ip
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Simon Y-C So
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Kelvin K-W To
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
| | - Vincent C-C Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
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Hung DV, Thao PN, Lang HN, Thu LT, Tai PT, Toan PQ, Nhat DV, Tien NX, Chi LD, Thuan DD. Mental health impact on patients with COVID-19 in the community under a long period of full lockdown in Vietnam. J Int Med Res 2024; 52:3000605231221087. [PMID: 38259217 PMCID: PMC10807321 DOI: 10.1177/03000605231221087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/28/2023] [Indexed: 01/24/2024] Open
Abstract
OBJECTIVE We aimed to investigate the impact on the mental health of patients with COVID-19 in a centralized isolation facility in the community who experienced a long period of full lockdown during the fourth wave of the COVID-19 pandemic in Vietnam. METHODS We performed a retrospective cross-sectional study among 125 patients with COVID-19 in a centralized isolation facility in the community of Ho Chi Minh City from September to November 2021. We collected data on depression, anxiety, and stress symptoms, as indicated by scores on the Depression Anxiety Stress Scale-21, as well as sociodemographic characteristics. RESULTS The prevalence of depression, anxiety, and stress among patients with COVID-19 was 14.4%, 20.8%, and 20.0%, respectively. Depression scores were significantly and positively correlated with body mass index whereas stress scores were significantly and positively correlated with age. CONCLUSION Our findings indicated an increased prevalence of depression, anxiety, and stress among patients with COVID-19 who were in a centralized isolation facility during the fourth COVID-19 wave in Vietnam. Overweight and older age were identified as risk factors for adverse mental health in patients with COVID-19. Psychological intervention programs should be implemented in isolation facilities for individuals with COVID-19 infection.
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Affiliation(s)
- Dinh Viet Hung
- Department of Psychiatry, 103 Military Hospital, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Pham Ngoc Thao
- Department of Functional Diagnosis, 103 Military Hospital, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Huynh Ngoc Lang
- Department of Psychiatry, 103 Military Hospital, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Le Thi Thu
- Department of Traditional Medicine, 5 Military Hospital, Ninh Binh, Vietnam
| | - Pham The Tai
- Institute of Biomedicine and Pharmacy, Vietnam Military Medical University, 160 Phung Hung, Ha Dong, Ha Noi, Vietnam
| | - Pham Quoc Toan
- Department of Nephrology and Dialysis, 103 Military Hospital, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Dao Van Nhat
- Department of Urology, 103 Military Hospital, Vietnam Military Medical University, Ha Noi, Vietnam
| | | | - Le Duy Chi
- Department of Ultrasound, 103 Military Hospital, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Do Duc Thuan
- Department of Stroke, 103 Military Hospital, Vietnam Military Medical University, Ha Noi, Vietnam
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3
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Blais JE, Zhang W, Lin Y, Chui CSL, Cheng VCC, Cowling BJ, Wu P. Antibiotic use in hospitalized patients with COVID-19: a population-based study in Hong Kong. ANTIMICROBIAL STEWARDSHIP & HEALTHCARE EPIDEMIOLOGY : ASHE 2023; 3:e205. [PMID: 38028893 PMCID: PMC10654948 DOI: 10.1017/ash.2023.485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 12/01/2023]
Abstract
Background Hong Kong experienced four epidemic waves caused by the ancestral strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2020-2021 and a large Omicron wave in 2022. Few studies have assessed antibacterial prescribing for coronavirus disease 2019 (COVID-19) inpatients throughout the pandemic. Objectives To describe inpatient antibacterial prescribing and explore factors associated with their prescription. Methods Electronic health records of patients with COVID-19 admitted to public hospitals in Hong Kong from 21 January 2020 to 30 September 2022 were used to assess the prevalence and rates of inpatient antibacterial drug use (days of therapy/1,000 patient days [DOT/1,000 PD]). We used multivariable logistic regression to investigate potential associations between patients' baseline characteristics and disease severity and prescription of an antibacterial drug during hospital admission. Results Among 65,810 inpatients with COVID-19, 54.0% were prescribed antibacterial drugs (550.5 DOT/1,000 PD). Compared to waves 1-2 (46.7%; 246.9 DOT/1,000 PD), the prescriptions were lowest during wave 4 (28.0%; 246.9; odds ratio (OR): 0.39, 95% CI: 0.31-0.49) and peaked in early wave 5 (64.6%; 661.2; 0.82, 0.65-1.03). Older age (≥80 years: OR 2.66, 95% CI, 2.49-2.85; 60-79 years: 1.59, 1.51-1.69, compared with 20-59 years), more severe disease (fatal: 3.64, 3.2-4.16; critical: 2.56, 2.14-3.06, compared with severe), and COVID-19 vaccine doses (two doses: 0.74, 0.69-0.78; three doses: 0.69, 0.64-0.74; four doses: 0.52, 0.44-0.62, compared with unvaccinated) were associated with inpatient antibacterial drug use. Conclusions Antibacterial prescribing changed over time for hospitalized patients with confirmed COVID-19 and was potentially related to patients' demographics, medical conditions, and COVID-19 vaccination status as well as healthcare capacity during epidemic waves.
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Affiliation(s)
- Joseph Edgar Blais
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China
| | - Weixin Zhang
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China
| | - Yun Lin
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China
| | - Celine SL Chui
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China
- School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China
| | - Vincent Chi-Chung Cheng
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administration Region, China
| | - Benjamin John Cowling
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China
| | - Peng Wu
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China
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Yao Y, Cui Y, Gao X, Qian Y, Hu B. Contamination of personal protective equipment and environmental surfaces in Fangcang shelter hospitals. Am J Infect Control 2023; 51:926-930. [PMID: 36435405 PMCID: PMC9683851 DOI: 10.1016/j.ajic.2022.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 11/17/2022] [Accepted: 11/17/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Fangcang shelter hospitals emerged as a new public health concept after COVID-19. Data regarding contamination of Fangcang shelter environments remains scarce. This study aims to investigate the extent of SARS-CoV-2 contamination on personal protective equipment and surfaces in Fangcang hospitals. METHODS Between March and May 2022, during wave of omicron variant, a prospective study was conducted in 2 Fangcang hospitals in Shanghai, China. Swabs of personal protective equipment worn and environmental surfaces of contaminated areas, doffing rooms, and potentially contaminated areas were collected. SARS-CoV-2 RNA was detected by reverse transcription quantitative polymerase chain reaction. If viral RNA was detected, sampling was repeated after cleaning and disinfection. RESULTS A total of 602 samples were collected. 13.3% of the personal protective equipment were contaminated. Positive rate was higher in the contaminated areas (48.4%) than in the doffing rooms (11.7%) and the potentially contaminated areas (0; P<.05). Contamination was highest in patient occupied areas (67.5%). After cleaning, samples taken at previously contaminated surfaces are all negative. CONCLUSIONS SARS-CoV-2 RNA contamination is prevalent in Fangcang hospitals and healthcare workers are under risk of infection. Potentially contaminated areas and surfaces after cleaning and disinfection are negative, underlying the importance of infection control policy.
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Affiliation(s)
- Yumeng Yao
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yangwen Cui
- Department of Infection Control and Management, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaodong Gao
- Department of Infection Control and Management, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yiyi Qian
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bijie Hu
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Infection Control and Management, Zhongshan Hospital, Fudan University, Shanghai, China.
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5
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Wong SC, Chan VWM, Yuen LLH, AuYeung CHY, Leung JOY, Li CK, Kwok MOT, So SYC, Chen JHK, Tam AR, Hung IFN, To KKW, Lo JYC, Yuen KY, Cheng VCC. Air dispersal of severe acute respiratory coronavirus virus 2 (SARS-CoV-2): Implications for hospital infection control during the fifth wave of coronavirus disease 2019 (COVID-19) due to the SARS-CoV-2 omicron variant in Hong Kong. Infect Control Hosp Epidemiol 2023; 44:1321-1324. [PMID: 36278515 DOI: 10.1017/ice.2022.258] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
We obtained 24 air samples in 8 general wards temporarily converted into negative-pressure wards admitting coronavirus disease 2019 (COVID-19) patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) omicron variant BA.2.2 in Hong Kong. SARS-CoV-2 RNA was detected in 19 (79.2%) of 24 samples despite enhanced indoor air dilution. It is difficult to prevent airborne transmission of SARS-CoV-2 in hospitals.
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Affiliation(s)
- Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Veronica Wing-Man Chan
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Lithia Lai-Ha Yuen
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Christine Ho-Yan AuYeung
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Jessica Oi-Yan Leung
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Chi-Kuen Li
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Monica Oi-Tung Kwok
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Simon Yung-Chun So
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Jonathan Hon-Kwan Chen
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Anthony Raymond Tam
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Janice Yee-Chi Lo
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
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Bassanello M, Coli U, Tegon A, Teresa Pasqualini M, Farencena A, Geretto M, D’Aquino M. SARS-COV-2 Pandemic: How to Maintain a COVID-free Hospital. Infect Dis (Lond) 2023. [DOI: 10.5772/intechopen.107060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/30/2023] Open
Abstract
The emergence of severe acute respiratory syndrome type 2 coronavirus (SARS-CoV-2) and its complications have demonstrated the devastating impact of a new infectious pathogen since the first months of 2020, especially on Health Systems. The work to maintain a COVID-free hospital in terms of reorganization of operational processes and surveillance against SARS-CoV-2 has allowed us to maintain the structure suitable for activities for non-positive patients. The commitment related to this reorganization (not only in terms of costs) is largely satisfied by the responses to the health needs of non-COVID patients. The results obtained during the First Pandemic phase at the Giovanni XXIII Hospital in Monastier di Treviso have allowed the maintenance of the status of a COVID-free hospital. These results are supported by multiple studies in other parts of the world.
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Liu X, Qin Z, Wang L, Xie X, Fu Y, Yu J, Liang Z, He X, Li J, Dai H, Yao J, Wu Q, Xiao W, Zhu L, Wan C, Zhang B, Zhao W. A simple and effective aerosol pathogen disinfection test for a flowing air disinfector. JOURNAL OF BIOSAFETY AND BIOSECURITY 2023; 5:32-38. [PMID: 36936134 PMCID: PMC10014499 DOI: 10.1016/j.jobb.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/25/2023] [Accepted: 02/27/2023] [Indexed: 03/17/2023] Open
Abstract
Aerosol transmission is an important disease transmission route and has been especially pertinent to hospital and biosafety laboratories during the SARS-CoV-2 pandemic. The thermal resistance of airborne SARS-CoV-2 is lower than that of Bacillus subtilis spores, which are often used to test the effectiveness of SARS-CoV-2 and other pathogen disinfection methods. Herein, we propose a new method to test the disinfection ability of a flowing air disinfector (a digital electromagnetic induction air heater) using B. subtilis spores. The study provides an alternative air disinfection test method. The new test system combined an aerosol generator and a respiratory filter designed in-house and could effectively recover spores on the filter membrane at the air outlet after passing through the flowing air disinfector. The total number of bacterial spores used in the test was within the range of 5 × 105-5 × 106 colony-forming units (CFUs) specified in the technical standard for disinfection. The calculation was based on the calculation method in Air Disinfection Effect Appraisal Test in Technical Standard for Disinfection (2002 Edition). At an air speed of 3.5 m/s, we used a digital electromagnetic induction air heater to disinfect flowing air containing 4.100 × 106 CFUs of B. subtilis spores and determined that the minimum disinfection temperature was 350 °C for a killing rate of 99.99%. At 400 °C, additional experiments using higher spore concentrations (4.700 × 106 ± 1.871 × 105 CFU) and a higher airspeed (4 m/s) showed that the killing rate remained>99.99%. B. subtilis spores, as a biological indicator for testing the efficiency of dry-heat sterilization, were killed by the high temperatures used in this system. The proposed method used to test the flowing air disinfector is simple, stable, and effective. This study provides a reference for the development of test systems that can assess the disinfection ability of flowing air disinfectors.
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Affiliation(s)
- Xuling Liu
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Zhiran Qin
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Linqing Wang
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Xiaoting Xie
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Yifang Fu
- Guangzhou SaveTech Co., Ltd., Guangzhou 510070, China
| | - Jianhai Yu
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Zuxin Liang
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Xiaoen He
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Jingshu Li
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Hong Dai
- Guangzhou Taojin Electronic Commerce Co., Ltd., Guangzhou 510289, China
| | - Jinxiu Yao
- People's Hospital of Yangjiang, Yangjiang 529500, China
| | - Qinghua Wu
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Weiwei Xiao
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Li Zhu
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Chengsong Wan
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Bao Zhang
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Wei Zhao
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
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Wong SC, Chan VWM, Yuen LLH, AuYeung CHY, Leung JOY, Li CK, Kwok MOT, So SYC, Chen JHK, Chiu KHY, Tam AR, Hung IFN, Kai-Wang To K, Lo JYC, Yuen KY, Cheng VCC. Infection of healthcare workers despite a high vaccination rate during the fifth wave of COVID-19 due to Omicron variant in Hong Kong. Infect Prev Pract 2023; 5:100261. [PMID: 36465098 PMCID: PMC9705264 DOI: 10.1016/j.infpip.2022.100261] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/15/2022] [Accepted: 11/22/2022] [Indexed: 12/03/2022] Open
Abstract
Background No nosocomial infection was recorded in our healthcare workers (HCWs) during the early phase of the coronavirus disease 2019 (COVID-19) pandemic. With the emergence of the Omicron variant of increased transmissibility, infection in HCWs occurred as expected. We aimed to study the epidemiology of infection in HCWs and to describe the infection control measures during the outbreak of the Omicron variant. Methods With daily rapid antigen testing and molecular confirmation test for COVID-19, infected HCWs were interviewed by infection control nurses (ICNs) to investigate the potential source of infection. The epidemiology of COVID-19 in Hong Kong served as reference. Results During the fifth wave of COVID-19 (31 December 2021 to 31 May 2022), 1,200,068 cases were reported (incidence 95 times higher than in preceding waves in Hong Kong; 162,103 vs 1,707 per million population respectively, P<0.001). The proportion of infected HCWs was significantly higher than that of the general population (24.9%, 1,607/6,452 vs 16.2%, 1,200,068/7,403,100 respectively; P<0.01). The proportion of infected non-clinical staff was significantly higher than that of clinical staff (31.8%, 536/1,687 vs 22.5%, 1,071/4,765 respectively; P<0.001). Of 82.8% (1,330/1,607) infected HCWs interviewed by ICNs, 99.5% (1,324/1,330) had been fully vaccinated; 49.5% (659/1,330) had no identifiable source; 40.7% (541/1,330) were probably infected from household members; 9.8% (130/1,330) had possible exposure to confirmed patients or HCWs, but no lapse in infection control measures or inappropriate use of personal protective equipment was recalled. Conclusion Omicron variant is highly transmissible such that breakthrough infection occurred despite high level of vaccination.
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Affiliation(s)
- Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Veronica Wing-Man Chan
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Lithia Lai-Ha Yuen
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Christine Ho-Yan AuYeung
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Jessica Oi-Yan Leung
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Chi-Kuen Li
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Monica Oi-Tung Kwok
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Simon Yung-Chun So
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Jonathan Hon-Kwan Chen
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Kelvin Hei-Yeung Chiu
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Anthony Raymond Tam
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Janice Yee-Chi Lo
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China,Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China,Corresponding author. Address: Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China. Tel.: +852 22552351, Fax: +852 23523698
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9
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Evolution and Control of COVID-19 Epidemic in Hong Kong. Viruses 2022; 14:v14112519. [PMID: 36423128 PMCID: PMC9698160 DOI: 10.3390/v14112519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022] Open
Abstract
Hong Kong SAR has adopted universal masking, social distancing, testing of all symptomatic and high-risk groups for isolation of confirmed cases in healthcare facilities, and quarantine of contacts as epidemiological control measures without city lockdown or border closure. These measures successfully suppressed the community transmission of pre-Omicron SARS-CoV-2 variants or lineages during the first to the fourth wave. No nosocomial SARS-CoV-2 infection was documented among healthcare workers in the first 300 days. The strategy of COVID-19 containment was adopted to provide additional time to achieve population immunity by vaccination. The near-zero COVID-19 situation for about 8 months in 2021 did not enable adequate immunization of the eligible population. A combination of factors was identified, especially population complacency associated with the low local COVID-19 activity, together with vaccine hesitancy. The importation of the highly transmissible Omicron variant kickstarted the fifth wave of COVID-19, which could no longer be controlled by our initial measures. The explosive fifth wave, which was partially contributed by vertical airborne transmission in high-rise residential buildings, resulted in over one million cases of infection. In this review, we summarize the epidemiology of COVID-19 and the infection control and public health measures against the importation and dissemination of SARS-CoV-2 until day 1000.
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Gastrointestinal Colonization of Carbapenem-Resistant Acinetobacter baumannii: What Is the Implication for Infection Control? Antibiotics (Basel) 2022; 11:antibiotics11101297. [PMID: 36289955 PMCID: PMC9598245 DOI: 10.3390/antibiotics11101297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 09/19/2022] [Accepted: 09/20/2022] [Indexed: 12/02/2022] Open
Abstract
The epidemiology of patients with gastrointestinal colonization of carbapenem-resistant Acinetobacter baumannii (CRAB) has not been systematically analyzed. We aimed to analyze the incidence, risk factors, and clinical outcomes of patients with newly identified gastrointestinal colonization of CRAB in a healthcare region in Hong Kong, where a multi-pronged screening strategy for gastrointestinal colonization of CRAB, together with other multidrug-resistant organisms (MDROs), was conducted by collecting fecal specimens (rectal swab or stool) upon admission and during hospitalization. From 1 October 2015 to 31 December 2019, a total of 161,339 fecal specimens from 63,588 patients, 61,856 (97.3%) of whom were hospitalized patients, and 54,525 (88.1%) were screened upon admission, with 1309 positive for CRAB (2.4% prevalence). Among patients positive for CRAB in fecal specimens, 698 (53.3%) had newly detected gastrointestinal colonization of CRAB, giving an incidence of 10.03 per 10,000 patient admissions and constituting 2646 CRAB colonization days in the general wards. Excluding the 164 patients with co-colonization of other MDROs, 534 patients had gastrointestinal colonization with only CRAB, and 12.5% (67/534) developed symptomatic CRAB infections at a median of 61 days (range: 2 to 671 days), during prospective follow-up for 2 years. Compared with age- and sex-matched controls, patients being referred from residential care homes for the elderly, the presence of indwelling devices, use of beta-lactam/beta-lactamase inhibitors, carbapenems, and proton pump inhibitors in the preceding 6 months, and history of hospitalization in the past 6 months were significantly associated with gastrointestinal colonization with CRAB, as shown by multivariable analysis. Log-rank test showed that cases had significantly shorter survival duration than controls (p < 0.001). The adjusted hazard ratio of gastrointestinal colonization of CRAB was 1.8 (95% CI: 1.5−2.2; p < 0.001), as shown by Cox regression analysis. Whole-genome sequencing of eight patients with CRAB isolates in their blood cultures and rectal swabs during the same episode of hospitalization revealed ST-195 as the predominant type, as shown by multilocus sequencing type. Gastrointestinal colonization of CRAB poses a considerable challenge for infection prevention and control.
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Wong SC, Chau PH, So SYC, Lam GKM, Chan VWM, Yuen LLH, Au Yeung CHY, Chen JHK, Ho PL, Yuen KY, Cheng VCC. Control of Healthcare-Associated Carbapenem-Resistant Acinetobacter baumannii by Enhancement of Infection Control Measures. Antibiotics (Basel) 2022; 11:antibiotics11081076. [PMID: 36009945 PMCID: PMC9405119 DOI: 10.3390/antibiotics11081076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/29/2022] [Accepted: 08/04/2022] [Indexed: 11/16/2022] Open
Abstract
Antimicrobial stewardship and infection control measures are equally important in the control of antimicrobial-resistant organisms. We conducted a retrospective analysis of the incidence rate of hospital-onset carbapenem-resistant Acinetobacter baumannii (CRAB) infection (per 1000 patient days) in the Queen Mary Hospital, a 1700-bed, university-affiliated teaching hospital, from period 1 (1 January 2007 to 31 December 2013) to period 2 (1 January 2014 to 31 December 2019), where enhanced infection control measures, including directly observed hand hygiene before meal and medication rounds to conscious patients, and the priority use of single room isolation, were implemented during period 2. This study aimed to investigate the association between enhanced infection control measures and changes in the trend in the incidence rate of hospital-onset CRAB infection. Antimicrobial consumption (defined daily dose per 1000 patient days) was monitored. Interrupted time series, in particular segmented Poisson regression, was used. The hospital-onset CRAB infection increased by 21.3% per year [relative risk (RR): 1.213, 95% confidence interval (CI): 1.162−1.266, p < 0.001], whereas the consumption of the extended spectrum betalactam-betalactamase inhibitor (BLBI) combination and cephalosporins increased by 11.2% per year (RR: 1.112, 95% CI: 1.102−1.122, p < 0.001) and 4.2% per year (RR: 1.042, 95% CI: 1.028−1.056, p < 0.001), respectively, in period 1. With enhanced infection control measures, the hospital-onset CRAB infection decreased by 9.8% per year (RR: 0.902, 95% CI: 0.854−0.953, p < 0.001), whereas the consumption of the extended spectrum BLBI combination and cephalosporins increased by 3.8% per year (RR: 1.038, 95% CI: 1.033−1.044, p < 0.001) and 7.6% per year (RR: 1.076, 95% CI: 1.056−1.097, p < 0.001), respectively, in period 2. The consumption of carbapenems increased by 8.4% per year (RR: 1.84, 95% CI: 1.073−1.094, p < 0.001) in both period 1 and period 2. The control of healthcare-associated CRAB could be achieved by infection control measures with an emphasis on directly observed hand hygiene, despite an increasing trend of antimicrobial consumption.
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Affiliation(s)
- Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong SAR, China
| | - Pui-Hing Chau
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | | | - Germaine Kit-Ming Lam
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong SAR, China
| | - Veronica Wing-Man Chan
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong SAR, China
| | - Lithia Lai-Ha Yuen
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong SAR, China
| | | | | | - Pak-Leung Ho
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kwok-Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong SAR, China
- Department of Microbiology, Queen Mary Hospital, Hong Kong SAR, China
- Correspondence:
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The impact of an enhanced health surveillance system for COVID-19 management in Serrana, Brazil. PUBLIC HEALTH IN PRACTICE 2022; 4:100301. [PMID: 35946045 PMCID: PMC9354446 DOI: 10.1016/j.puhip.2022.100301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 07/14/2022] [Accepted: 07/20/2022] [Indexed: 01/03/2023] Open
Abstract
Objective To describe the successful implementation of an enhanced public health surveillance system based on early detection, tracing contacts, and patient follow-up and support. Study design A prospective observational cohort study conducted in Serrana, São Paulo State, Brazil. Methods The implementation was based on four axes: increasing the access to SARS-CoV-2 testing; correct swab collection; testing patients with mild symptoms; and patient follow-up. Positivity rate, patient demographic and clinical characteristics, dynamics of disease severity, SARS-CoV-2 genome evolution, and the impact on COVID-19 research were assessed from August 23, 2020 to February 6, 2021 (between epidemiological week 35/2020 and 5/2021, a total of 24 weeks). Results The number of sites collecting rt-PCR for SARS-CoV-2 was increased from one to seven points and staff was trained in the correct use of personal protective equipment and in the swab collection technique. During the study period, 6728 samples were collected from 6155 participants vs. 2770 collections in a similar period before. SARS-CoV-2 RNA was detected in 1758 (26.1%) swabs vs. 1117 (36.7%) before the implementation of the surveillance system (p < 0.001). Positivity rates varied widely between epidemiological weeks 35/2020 and 5/2021 (IQR, 12.8%-31.3%). Out of COVID-19 patients, 91.1% were adults at a median age of 35 years (IQR, 25-50 years), 42.6% were men and 57.4% were women, with a SARS-CoV-2 positivity rate of 28.6% and 24.4% (p < 0.001), respectively. The most common symptoms were headache (72.6%), myalgia (65.0%), and cough (61.7%). Comorbidities were found in 20.8% of patients, the most common being hypertension and diabetes. According to the World Health Organization clinical progression scale, 93.5% of patients had mild disease, 1.6% were hospitalized with moderate disease, 3.2% were hospitalized with severe disease, and 1.4% died. The enhanced surveillance system led to the development of COVID-19 related research. Conclusions The enhanced surveillance system in Serrana improved COVID-19 understanding and management. By integrating community and academic institutions, it was possible to monitor SARS-CoV-2 positive cases and variants, follow the epidemic trend, guide patients, and develop relevant research projects.
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Wu Y, Zhang Q, Li M, Mao Q, Li L. Global Experiences of Community Responses to COVID-19: A Systematic Literature Review. Front Public Health 2022; 10:907732. [PMID: 35928483 PMCID: PMC9343721 DOI: 10.3389/fpubh.2022.907732] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/17/2022] [Indexed: 12/16/2022] Open
Abstract
Objective This study aimed to conduct a systematic review of the global experiences of community responses to the COVID-19 epidemic. Method Five electronic databases (PubMed, Embase, CINAHL, ScienceDirect, and Web of Science) were searched for peer-reviewed articles published in English, from inception to October 10, 2021. Two reviewers independently reviewed titles, abstracts, and full texts. A systematic review (with a scientific strategy for literature search and selection in the electronic databases applied to data collection) was used to investigate the experiences of community responses to the COVID-19 pandemic. Results This review reported that community responses to COVID-19 consisted mainly of five ways. On the one hand, community-based screening and testing for Coronavirus was performed; on the other hand, the possible sources of transmission in communities were identified and cut off. In addition, communities provided medical aid for patients with mild cases of COVID-19. Moreover, social support for community residents, including material and psychosocial support, was provided to balance epidemic control and prevention and its impact on residents' lives. Last and most importantly, special care was provided to vulnerable residents during the epidemic. Conclusion This study systematically reviewed how communities to respond to COVID-19. The findings presented some practical and useful tips for communities still overwhelmed by COVID-19 to deal with the epidemic. Also, some community-based practices reported in this review could provide valuable experiences for community responses to future epidemics.
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Affiliation(s)
- Yijin Wu
- Center for Medical Humanities in the Developing World, School of Translation Studies, Qufu Normal University, Rizhao, China
| | - Quan Zhang
- School of International Affairs and Public Administration, Ocean University of China, Qingdao, China
- Centre for Quality of Life and Public Policy, Shandong University, Qingdao, China
| | - Meiyu Li
- School of Economics and Management, China University of Petroleum (East China), Qingdao, China
| | - Qingduo Mao
- School of International Affairs and Public Administration, Ocean University of China, Qingdao, China
| | - Linzi Li
- Rizhao Maternal and Child Health Hospital, Rizhao, China
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Air dispersal of respiratory viruses other than severe acute respiratory coronavirus virus 2 (SARS-CoV-2) and the implication on hospital infection control. Infect Control Hosp Epidemiol 2022; 44:768-773. [PMID: 35811422 PMCID: PMC9304945 DOI: 10.1017/ice.2022.186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Background: Air dispersal of respiratory viruses other than SARS-CoV-2 has not been systematically reported. The incidence and factors associated with air dispersal of respiratory viruses are largely unknown. Methods: We performed air sampling by collecting 72,000 L of air over 6 hours for pediatric and adolescent patients infected with parainfluenza virus 3 (PIF3), respiratory syncytial virus (RSV), rhinovirus, and adenovirus. The patients were singly or 2-patient cohort isolated in airborne infection isolation rooms (AIIRs) from December 3, 2021, to January 26, 2022. The viral load in nasopharyngeal aspirates (NPA) and air samples were measured. Factors associated with air dispersal were investigated and analyzed. Results: Of 20 singly isolated patients with median age of 30 months (range, 3 months–15 years), 7 (35%) had air dispersal of the viruses compatible with their NPA results. These included 4 (40%) of 10 PIF3-infected patients, 2 (66%) of 3 RSV-infected patients, and 1 (50%) of 2 adenovirus-infected patients. The mean viral load in their room air sample was 1.58×103 copies/mL. Compared with 13 patients (65%) without air dispersal, these 7 patients had a significantly higher mean viral load in their NPA specimens (6.15×107 copies/mL vs 1.61×105 copies/mL; P < .001). Another 14 patients were placed in cohorts as 7 pairs infected with the same virus (PIF3, 2 pairs; RSV, 3 pairs; rhinovirus, 1 pair; and adenovirus, 1 pair) in double-bed AIIRs, all of which had air dispersal. The mean room air viral load in 2-patient cohorts was significantly higher than in rooms of singly isolated patients (1.02×104 copies/mL vs 1.58×103 copies/mL; P = .020). Conclusion: Air dispersal of common respiratory viruses may have infection prevention and public health implications.
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Teng Z, Lin R, Liu J, Yin Y, Dai Y, Huang M. Anxiety Severity and Influencing Factors in Day Surgery Patients or Relatives in Covid-19 Normalized Prevention Phase. Surg Innov 2022:15533506221108858. [PMID: 35734985 DOI: 10.1177/15533506221108858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND As the 2019 Coronavirus Disease (COVID-19) repeated, the prevention and treatment will be normalized in a period. "Large number of patients" and " Turnover quickly" of the day surgery ward greatly increased the difficulty of policy formulation and implementation. The normalization also had a huge negative psychological impact on patients/family members. This study aims to introduce effective epidemic prevention and control measures in day surgery wards, and to clarify the influencing factors of anxiety and subjective discomfort of patients and their families during the normalization of COVID-19. METHODS To prepare for normalization of epidemic, research discuss improvements in the management of staff, environment, process. A total of 148 patients admitted to West China Hospital from December 2021 to March 2022 and their relatives were asked to complete a questionnaire effectively. Using the Self-rating Anxiety Scale, Social Support Rating Scale and Subjective Units of Distress scales to analyze anxiety and its risk factors. RESULTS Under normalized control measures, no staff was infected. The subjective discomfort score was higher in people with lower body mass index (BMI). Young and high social support score were risk factors for anxiety (P < .05), and social support was positively correlated with anxiety. CONCLUSION The normalization of epidemic is an inevitable trend in a period. A stable and safe medical environment needs to fully eliminate the policy defects, to fit the people and focus on mental health of the people. For patients/family members, who are younger,a lower BMI and higher social support should be attention more.
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Affiliation(s)
- Zeng Teng
- Day Surgery Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Rongruo Lin
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Jing Liu
- Day Surgery Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Yu Yin
- Day Surgery Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Yan Dai
- Day Surgery Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Mingjun Huang
- Day Surgery Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
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Wong SC, Wing-Man Chan V, Kit-Ming Lam G, Lai-Ha Yuen L, Ho-Yan AuYeung C, Li FRCPath X, Hon-Kwan Chen J, Chau PH, Yuen KY, Chi-Chung Cheng V. The impact of personal coaching on influenza vaccination among healthcare workers before and during COVID-19 pandemic. Vaccine 2022; 40:4905-4910. [PMID: 35810057 PMCID: PMC9233998 DOI: 10.1016/j.vaccine.2022.06.067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 06/10/2022] [Accepted: 06/14/2022] [Indexed: 11/26/2022]
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Decreased Antibiotic Consumption Coincided with Reduction in Bacteremia Caused by Bacterial Species with Respiratory Transmission Potential during the COVID-19 Pandemic. Antibiotics (Basel) 2022; 11:antibiotics11060746. [PMID: 35740153 PMCID: PMC9219721 DOI: 10.3390/antibiotics11060746] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 01/27/2023] Open
Abstract
Nonpharmaceutical interventions implemented during the COVID-19 pandemic (2020−2021) have provided a unique opportunity to understand their impact on the wholesale supply of antibiotics and incidences of infections represented by bacteremia due to common bacterial species in Hong Kong. The wholesale antibiotic supply data (surrogate indicator of antibiotic consumption) and notifications of scarlet fever, chickenpox, and tuberculosis collected by the Centre for Health Protection, and the data of blood cultures of patients admitted to public hospitals in Hong Kong collected by the Hospital Authority for the last 10 years, were tabulated and analyzed. A reduction in the wholesale supply of antibiotics was observed. This decrease coincided with a significant reduction in the incidence of community-onset bacteremia due to Streptococcus pyogenes, Streptococcus pneumoniae, Haemophilus influenzae, and Neisseria meningitidis, which are encapsulated bacteria with respiratory transmission potential. This reduction was sustained during two pandemic years (period 2: 2020−2021), compared with eight pre-pandemic years (period 1: 2012−2019). Although the mean number of patient admissions per year (1,704,079 vs. 1,702,484, p = 0.985) and blood culture requests per 1000 patient admissions (149.0 vs. 158.3, p = 0.132) were not significantly different between periods 1 and 2, a significant reduction in community-onset bacteremia due to encapsulated bacteria was observed in terms of the mean number of episodes per year (257 vs. 58, p < 0.001), episodes per 100,000 admissions (15.1 vs. 3.4, p < 0.001), and per 10,000 blood culture requests (10.1 vs. 2.1, p < 0.001), out of 17,037,598 episodes of patient admissions with 2,570,164 blood culture requests. Consistent with the findings of bacteremia, a reduction in case notification of scarlet fever and airborne infections, including tuberculosis and chickenpox, was also observed; however, there was no reduction in the incidence of hospital-onset bacteremia due to Staphylococcus aureus or Escherichia coli. Sustained implementation of non-pharmaceutical interventions against respiratory microbes may reduce the overall consumption of antibiotics, which may have a consequential impact on antimicrobial resistance. Rebound of conventional respiratory microbial infections is likely with the relaxation of these interventions.
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Cheng VCC, Lung DC, Wong SC, Au AKW, Wang Q, Chen H, Xin L, Chu AWH, Ip JD, Chan WM, Tsoi HW, Tse H, Ng KHL, Kwan MYW, Chuang SK, To KKW, Li Y, Yuen KY. Outbreak investigation of airborne transmission of Omicron (B.1.1.529) - SARS-CoV-2 variant of concern in a restaurant: Implication for enhancement of indoor air dilution. JOURNAL OF HAZARDOUS MATERIALS 2022; 430:128504. [PMID: 35739650 PMCID: PMC8848576 DOI: 10.1016/j.jhazmat.2022.128504] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/06/2022] [Accepted: 02/13/2022] [Indexed: 05/06/2023]
Abstract
Airborne transmission of SARS-CoV-2 has been increasingly recognized in the outbreak of COVID-19, especially with the Omicron variant. We investigated an outbreak due to Omicron variant in a restaurant. Besides epidemiological and phylogenetic analyses, the secondary attack rates of customers of restaurant-related COVID-19 outbreak before (Outbreak R1) and after enhancement of indoor air dilution (Outbreak R2) were compared. On 27th December 2021, an index case stayed in restaurant R2 for 98 min. Except for 1 sitting in the same table, six other secondary cases sat in 3 corners at 3 different zones, which were served by different staff. The median exposure time was 34 min (range: 19-98 min). All 7 secondary cases were phylogenetically related to the index. Smoke test demonstrated that the airflow direction may explain the distribution of secondary cases. Compared with an earlier COVID-19 outbreak in another restaurant R1 (19th February 2021), which occurred prior to the mandatory enhancement of indoor air dilution, the secondary attack rate among customers in R2 was significantly lower than that in R1 (3.4%, 7/207 vs 28.9%, 22/76, p<0.001). Enhancement of indoor air dilution through ventilation and installation of air purifier could minimize the risk of SARS-CoV-2 transmission in the restaurants.
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Affiliation(s)
- Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China; Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - David Christopher Lung
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China
| | - Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Albert Ka-Wing Au
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Qun Wang
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hong Chen
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Li Xin
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Allen Wing-Ho Chu
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jonathan Daniel Ip
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wan-Mui Chan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hoi-Wah Tsoi
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Herman Tse
- Department of Pathology, Hong Kong Children's Hospital, Hong Kong Special Administrative Region, China
| | - Ken Ho-Leung Ng
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Mike Yat-Wah Kwan
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Shuk-Kwan Chuang
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yuguo Li
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
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Wong SC, Chen JHK, Yuen LLH, Chan VWM, AuYeung CHY, Leung SSM, So SYC, Chan BWK, Li X, Leung JOY, Chung PK, Chau PH, Lung DC, Lo JYC, Ma ESK, Chen H, Yuen KY, Cheng VCC. Air dispersal of meticillin-resistant Staphylococcus aureus in residential care homes for the elderly: implication in transmission during COVID-19 pandemic. J Hosp Infect 2022; 123:52-60. [DOI: 10.1016/j.jhin.2022.02.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/15/2022] [Accepted: 02/15/2022] [Indexed: 12/14/2022]
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Wong SC, Au AKW, Chen H, Yuen LLH, Li X, Lung DC, Chu AWH, Ip JD, Chan WM, Tsoi HW, To KKW, Yuen KY, Cheng VCC. Transmission of Omicron (B.1.1.529) - SARS-CoV-2 Variant of Concern in a designated quarantine hotel for travelers: a challenge of elimination strategy of COVID-19. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2021; 18:100360. [PMID: 34961854 PMCID: PMC8696199 DOI: 10.1016/j.lanwpc.2021.100360] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Albert Ka-Wing Au
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Hong Chen
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Lithia Lai-Ha Yuen
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Xin Li
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - David Christopher Lung
- Department of Pathology, Hong Kong Children's Hospital / Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China
| | - Allen Wing-Ho Chu
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jonathan Daniel Ip
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wan-Mui Chan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hoi-Wah Tsoi
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China.,Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
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To KKW, Sridhar S, Chiu KHY, Hung DLL, Li X, Hung IFN, Tam AR, Chung TWH, Chan JFW, Zhang AJX, Cheng VCC, Yuen KY. Lessons learned 1 year after SARS-CoV-2 emergence leading to COVID-19 pandemic. Emerg Microbes Infect 2021; 10:507-535. [PMID: 33666147 PMCID: PMC8006950 DOI: 10.1080/22221751.2021.1898291] [Citation(s) in RCA: 149] [Impact Index Per Article: 49.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 02/26/2021] [Accepted: 02/28/2021] [Indexed: 02/06/2023]
Abstract
Without modern medical management and vaccines, the severity of the Coronavirus Disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2) might approach the magnitude of 1894-plague (12 million deaths) and 1918-A(H1N1) influenza (50 million deaths) pandemics. The COVID-19 pandemic was heralded by the 2003 SARS epidemic which led to the discovery of human and civet SARS-CoV-1, bat SARS-related-CoVs, Middle East respiratory syndrome (MERS)-related bat CoV HKU4 and HKU5, and other novel animal coronaviruses. The suspected animal-to-human jumping of 4 betacoronaviruses including the human coronaviruses OC43(1890), SARS-CoV-1(2003), MERS-CoV(2012), and SARS-CoV-2(2019) indicates their significant pandemic potential. The presence of a large reservoir of coronaviruses in bats and other wild mammals, culture of mixing and selling them in urban markets with suboptimal hygiene, habit of eating exotic mammals in highly populated areas, and the rapid and frequent air travels from these areas are perfect ingredients for brewing rapidly exploding epidemics. The possibility of emergence of a hypothetical SARS-CoV-3 or other novel viruses from animals or laboratories, and therefore needs for global preparedness should not be ignored. We reviewed representative publications on the epidemiology, virology, clinical manifestations, pathology, laboratory diagnostics, treatment, vaccination, and infection control of COVID-19 as of 20 January 2021, which is 1 year after person-to-person transmission of SARS-CoV-2 was announced. The difficulties of mass testing, labour-intensive contact tracing, importance of compliance to universal masking, low efficacy of antiviral treatment for severe disease, possibilities of vaccine or antiviral-resistant virus variants and SARS-CoV-2 becoming another common cold coronavirus are discussed.
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Affiliation(s)
- Kelvin Kai-Wang To
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Siddharth Sridhar
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Kelvin Hei-Yeung Chiu
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Derek Ling-Lung Hung
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Xin Li
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Anthony Raymond Tam
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Tom Wai-Hin Chung
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Anna Jian-Xia Zhang
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Vincent Chi-Chung Cheng
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Kwok-Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
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22
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Cheng VCC, Siu GKH, Wong SC, Au AKW, Ng CSF, Chen H, Li X, Lee LK, Leung JSL, Lu KK, Lo HWH, Wong EYK, Luk S, Lam BHS, To WK, Lee RA, Lung DC, Kwan MYW, Tse H, Chuang SK, To KKW, Yuen KY. Complementation of contact tracing by mass testing for successful containment of beta COVID-19 variant (SARS-CoV-2 VOC B.1.351) epidemic in Hong Kong. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2021; 17:100281. [PMID: 34611629 PMCID: PMC8483778 DOI: 10.1016/j.lanwpc.2021.100281] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 08/30/2021] [Accepted: 09/01/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Global dissemination of SARS-CoV-2 Variants of Concern (VOCs) remains a concern. The aim of this study is to describe how mass testing and phylogenetic analysis successfully prevented local transmission of SARS-CoV-2 VOC in a densely populated city with low herd immunity for COVID-19. METHODS In this descriptive study, we conducted contact tracing, quarantine, and mass testing of the potentially exposed contacts with the index case. Epidemiological investigation and phylogeographic analysis were performed. FINDINGS Among 11,818 laboratory confirmed cases of COVID-19 diagnosed till 13th May 2021 in Hong Kong, SARS-CoV-2 VOCs were found in 271 (2.3%) cases. Except for 10 locally acquired secondary cases, all SARS-CoV-2 VOCs were imported or acquired in quarantine hotels. The index case of this SARS-CoV-2 VOC B.1.351 epidemic, an inbound traveler with asymptomatic infection, was diagnosed 9 days after completing 21 days of quarantine. Contact tracing of 163 contacts in household, hotel, and residential building only revealed 1 (0.6%) secondary case. A symptomatic foreign domestic helper (FDH) without apparent epidemiological link but infected by virus with identical genome sequence was subsequently confirmed. Mass testing of 0.34 million FDHs identified two more cases which were phylogenetically linked. A total of 10 secondary cases were identified that were related to two household gatherings. The clinical attack rate of household close contact was significantly higher than non-household exposure during quarantine (7/25, 28% vs 0/2051, 0%; p<0.001). INTERPRETATION The rising epidemic of SARS-CoV-2 VOC transmission could be successfully controlled by contact tracing, quarantine, and rapid genome sequencing complemented by mass testing. FUNDING Health and Medical Research Fund Commissioned Research on Control of Infectious Disease (see acknowledgments for full list).
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Affiliation(s)
- Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Gilman Kit-Hang Siu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Albert Ka-Wing Au
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Cecilia Suk-Fun Ng
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Hong Chen
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Xin Li
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Lam-Kwong Lee
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Jake Siu-Lun Leung
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Kelvin Keru Lu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Hazel Wing-Hei Lo
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Evelyn Yin-Kwan Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Shik Luk
- Department of Pathology, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Bosco Hoi-Shiu Lam
- Department of Pathology, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Wing-Kin To
- Department of Pathology, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Rodney Allan Lee
- Department of Pathology, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China
| | - David Christopher Lung
- Department of Pathology, Hong Kong Children's Hospital / Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China
| | - Mike Yat-Wah Kwan
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Herman Tse
- Department of Pathology, Hong Kong Children's Hospital, Hong Kong Special Administrative Region, China
| | - Shuk-Kwan Chuang
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
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23
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Wong S, Chen H, Lung DC, Ho P, Yuen K, Cheng VC. To prevent SARS-CoV-2 transmission in designated quarantine hotel for travelers: Is the ventilation system a concern? INDOOR AIR 2021; 31:1295-1297. [PMID: 34259364 PMCID: PMC8447387 DOI: 10.1111/ina.12870] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 05/23/2021] [Accepted: 05/26/2021] [Indexed: 05/07/2023]
Affiliation(s)
- Shuk‐Ching Wong
- Infection Control Team, Queen Mary HospitalHong Kong West ClusterHong Kong Special Administrative RegionChina
| | - Hong Chen
- Department of Health, Infection Control BranchCentre for Health ProtectionHong Kong Special Administrative RegionChina
| | - David Christopher Lung
- Department of PathologyHong Kong Children's Hospital/Queen Elizabeth HospitalHong Kong Special Administrative RegionChina
| | - Pak‐Leung Ho
- Department of MicrobiologyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Kwok‐Yung Yuen
- Department of MicrobiologyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Vincent Chi‐Chung Cheng
- Infection Control Team, Queen Mary HospitalHong Kong West ClusterHong Kong Special Administrative RegionChina
- Department of MicrobiologyQueen Mary HospitalHong Kong Special Administrative RegionChina
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24
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Airborne transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): What is the implication of hospital infection control? Infect Control Hosp Epidemiol 2021; 43:1522-1523. [PMID: 34250877 PMCID: PMC8319673 DOI: 10.1017/ice.2021.318] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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25
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Cheng VCC, Fung KSC, Siu GKH, Wong SC, Cheng LSK, Wong MS, Lee LK, Chan WM, Chau KY, Leung JSL, Chu AWH, Chan WS, Lu KK, Tam KKG, Ip JD, Leung KSS, Lung DC, Tse H, To KKW, Yuen KY. Nosocomial outbreak of COVID-19 by possible airborne transmission leading to a superspreading event. Clin Infect Dis 2021; 73:e1356-e1364. [PMID: 33851214 PMCID: PMC8083289 DOI: 10.1093/cid/ciab313] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Indexed: 12/24/2022] Open
Abstract
Background Nosocomial outbreaks with superspreading of COVID-19 due to a possible airborne transmission has not been reported. Methods Epidemiological analysis, environmental samplings, and whole genome sequencing (WGS) were performed for a hospital outbreak. Results A superspreading event involving 12 patients and 9 healthcare workers (HCWs) occurred within 4 days in 3 of 6 cubicles at an old-fashioned general ward with no air exhaust built within the cubicles. The environmental contamination by SARS-CoV-2 RNA was significantly higher in air grilles (>2m from patients’ head and not reachable by hands) than high-touch clinical surfaces (36.4%, 8/22 vs 3.4%, 1/29, p=0.003). Six (66.7%) of 9 contaminated air exhaust grilles were located outside patient cubicle. The clinical attack rate of patients was significantly higher than HCWs (15.4%, 12/78 exposed-patients vs 4.6%, 9/195 exposed-HCWs, p=0.005). Moreover, clinical attack rate of ward-based HCWs was significantly higher than non-ward-based HCWs (8.1%, 7/68 vs 1.8%, 2/109, p=0.045). The episodes (mean ± S.D) of patient-care duty assignment in the cubicles was significantly higher among infected ward-based HCWs than non-infected ward-based HCWs (6.0±2.4 vs 3.0±2.9, p=0.012) during the outbreak period. The outbreak strains belong to SARS-CoV-2 lineage, B.1.36.27 (GISAID Clade GH) with the unique S-T470N mutation on WGS. Conclusion This nosocomial point source superspreading due to possible airborne transmission demonstrated the need for stringent SARS-CoV-2 screening at admission to healthcare facilities and better architectural design of the ventilation system to prevent such outbreaks. Portable high-efficiency particulate filters were installed in each cubicle to improve ventilation before resumption of clinical service.
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Affiliation(s)
- Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China.,Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Kitty Sau-Chun Fung
- Department of Pathology and Infection Control Team, United Christian Hospital, Hong Kong Special Administrative Region, China
| | - Gilman Kit-Hang Siu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Lily Shui-Kuen Cheng
- Department of Pathology and Infection Control Team, United Christian Hospital, Hong Kong Special Administrative Region, China
| | - Man-Sing Wong
- Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Lam-Kwong Lee
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Wan-Mui Chan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ka-Yee Chau
- Department of Pathology and Infection Control Team, United Christian Hospital, Hong Kong Special Administrative Region, China
| | - Jake Siu-Lun Leung
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Allen Wing-Ho Chu
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wai-Shan Chan
- Department of Pathology and Infection Control Team, United Christian Hospital, Hong Kong Special Administrative Region, China
| | - Kelvin Keru Lu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Kingsley King-Gee Tam
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jonathan Daniel Ip
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kenneth Siu-Sing Leung
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - David Christopher Lung
- Department of Pathology, Hong Kong Children's Hospital / Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China
| | - Herman Tse
- Department of Pathology, Hong Kong Children's Hospital, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
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26
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Wee LEI, Conceicao EP, Tan JY, Magesparan KD, Amin IBM, Ismail BBS, Toh HX, Jin P, Zhang J, Wee EGL, Ong SJM, Lee GLX, Wang AEM, How MKB, Tan KY, Lee LC, Phoon PC, Yang Y, Aung MK, Sim XYJ, Venkatachalam I, Ling ML. Unintended consequences of infection prevention and control measures during COVID-19 pandemic. Am J Infect Control 2021; 49:469-477. [PMID: 33157180 PMCID: PMC7610096 DOI: 10.1016/j.ajic.2020.10.019] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 10/26/2020] [Accepted: 10/26/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND In the current COVID-19 pandemic, aggressive Infection Prevention and Control (IPC) measures have been adopted to prevent health care-associated transmission of COVID-19. We evaluated the impact of a multimodal IPC strategy originally designed for the containment of COVID-19 on the rates of other hospital-acquired-infections (HAIs). METHODOLOGY From February-August 2020, a multimodal IPC strategy was implemented across a large health care campus in Singapore, comprising improved segregation of patients with respiratory symptoms, universal masking and heightened adherence to Standard Precautions. The following rates of HAI were compared pre- and postpandemic: health care-associated respiratory-viral-infection (HA-RVI), methicillin-resistant Staphylococcus aureus, and CP-CRE acquisition rates, health care-facility-associated C difficile infections and device-associated HAIs. RESULTS Enhanced IPC measures introduced to contain COVID-19 had the unintended positive consequence of containing HA-RVI. The cumulative incidence of HA-RVI decreased from 9.69 cases per 10,000 patient-days to 0.83 cases per 10,000 patient-days (incidence-rate-ratio = 0.08; 95% confidence interval [CI] = 0.05-0.13, P< .05). Hospital-wide MRSA acquisition rates declined significantly during the pandemic (incidence-rate-ratio = 0.54, 95% CI = 0.46-0.64, P< .05), together with central-line-associated-bloodstream infection rates (incidence-rate-ratio = 0.24, 95% CI = 0.07-0.57, P< .05); likely due to increased compliance with Standard Precautions. Despite the disruption caused by the pandemic, there was no increase in CP-CRE acquisition, and rates of other HAIs remained stable. CONCLUSIONS Multimodal IPC strategies can be implemented at scale to successfully mitigate health care-associated transmission of RVIs. Good adherence to personal-protective-equipment and hand hygiene kept other HAI rates stable even during an ongoing pandemic where respiratory infections were prioritized for interventions.
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Affiliation(s)
- Liang En Ian Wee
- Singhealth Infectious Diseases Residency, Singapore; Department of Infectious Diseases, Singapore General Hospital, Singapore.
| | - Edwin Philip Conceicao
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Jing Yuan Tan
- Department of Internal Medicine, Singapore General Hospital, Singapore
| | - Kamini Devi Magesparan
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | | | | | - Hui Xian Toh
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Pinhong Jin
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Jing Zhang
- Department of Nursing Speciality Care Unit, National Heart Centre, Singapore
| | - Elaine Geok Ling Wee
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Sheena Jin Min Ong
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Gillian Li Xin Lee
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Amanda En-Min Wang
- Department of Nursing Speciality Care Unit, National Heart Centre, Singapore
| | - Molly Kue Bien How
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Kwee Yuen Tan
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Lai Chee Lee
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Poh Choo Phoon
- Department of Nursing Speciality Care Unit, National Heart Centre, Singapore
| | - Yong Yang
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - May Kyawt Aung
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Xiang Ying Jean Sim
- Department of Infectious Diseases, Singapore General Hospital, Singapore; Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Indumathi Venkatachalam
- Department of Infectious Diseases, Singapore General Hospital, Singapore; Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore
| | - Moi Lin Ling
- Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore.
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27
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Multipronged infection control strategy to achieve zero nosocomial coronavirus disease 2019 (COVID-19) cases among Hong Kong healthcare workers in the first 300 days of the pandemic. Infect Control Hosp Epidemiol 2021; 43:334-343. [PMID: 33736729 PMCID: PMC8060541 DOI: 10.1017/ice.2021.119] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: Nosocomial outbreaks leading to healthcare worker (HCW) infection and death have been increasingly reported during the coronavirus disease 2019 (COVID-19) pandemic. Objective: We implemented a strategy to reduce nosocomial acquisition. Methods: We summarized our experience in implementing a multipronged infection control strategy in the first 300 days (December 31, 2019, to October 25, 2020) of the COVID-19 pandemic under the governance of Hospital Authority in Hong Kong. Results: Of 5,296 COVID-19 patients, 4,808 (90.8%) were diagnosed in the first pandemic wave (142 cases), second wave (896 cases), and third wave (3,770 cases) in Hong Kong. With the exception of 1 patient who died before admission, all COVID-19 patients were admitted to the public healthcare system for a total of 78,834 COVID-19 patient days. The median length of stay was 13 days (range, 1–128). Of 81,955 HCWs, 38 HCWs (0.05%; 2 doctors and 11 nurses and 25 nonprofessional staff) acquired COVID-19. With the exception of 5 of 38 HCWs (13.2%) infected by HCW-to-HCW transmission in the nonclinical settings, no HCW had documented transmission from COVID-19 patients in the hospitals. The incidence of COVID-19 among HCWs was significantly lower than that of our general population (0.46 per 1,000 HCWs vs 0.71 per 1,000 population; P = .008). The incidence of COVID-19 among professional staff was significantly lower than that of nonprofessional staff (0.30 vs 0.66 per 1,000 full-time equivalent; P = .022). Conclusions: A hospital-based approach spared our healthcare service from being overloaded. With our multipronged infection control strategy, no nosocomial COVID-19 in was identified among HCWs in the first 300 days of the COVID-19 pandemic in Hong Kong.
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