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Cheng VCC, Wong SC, Ma ESK, Chen H, Chiu KHY, Hon-Kwan Chen J, So SYC, Lung DC, Ho PL, Yuen KY. Antimicrobial Resistance Situation and Control Measures in Hong Kong: From a One Health Perspective. J Hosp Infect 2025:S0195-6701(25)00106-9. [PMID: 40311684 DOI: 10.1016/j.jhin.2025.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 01/28/2025] [Accepted: 01/28/2025] [Indexed: 05/03/2025]
Abstract
Multidrug-resistant organisms pose a critical public health challenge globally, particularly in densely populated Hong Kong with a rapidly aging population, where over 90% of food is imported. This review examines the targeted surveillance and control efforts implemented under the One Health framework to combat antimicrobial resistance (AMR). Between 2010 and 2023, surveillance revealed a prevalence of extended-spectrum-beta-lactamase-producing Escherichia coli (ESBL-E.coli) in tested pigs (51.5%) and chickens (86.3%). Alarmingly, carbapenemase-producing E. coli was increasingly detected in pigs (<5 to 19.2% from 2017 to 2023). For other food items, ESBL-producing Enterobacterales were found in sashimi (11.5%), sushi (4.8%) ready-to-eat (RTE) vegetables (26.9%), RTE cut fruits (5.6%), braised dishes (19.8%), and roast meat (2.4%). Mean antimicrobial consumption in food animals was 113.4mg/kg target animal biomass for pigs from 2019 to 2022. Antimicrobial consumption in hospitals and community, expressed as defined daily doses per 1,000 inhabitants per day, declined from 20.4 to 13.8 during the COVID-19 pandemic, and gradually rebounded to 17.1 in 2023. In residential care homes for the elderly (RCHE), MRSA prevalence rapidly escalated from 2.8 to 48.7% between 2005 and 2021, triggering a pilot MRSA decolonization program in 257 RCHEs, which led to a significant reduction in community-onset MRSA infections (from 3.526 to 2.632 per 1,000-resident-days,p<0.005) and MRSA bacteremia (from 0.322 to 0.197 per 1,000-resident-days,p=0.025). These findings highlight the challenges in the control of ESBL and carbapenemase-producing E. coli in animals, compliance with food hygiene measures, and infection control in overcrowded and understaffed RCHE or hospitals in perpetuating MRSA infections in healthcare settings.
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Affiliation(s)
- Vincent Chi-Chung Cheng
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China; 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; Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China.
| | - Shuk-Ching Wong
- 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; Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China
| | - Edmond Siu-Keung Ma
- Inection Control Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Hong Chen
- Inection Control Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Kelvin Hei-Yeung Chiu
- 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
| | - Simon Yung-Chun So
- 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; Department of Pathology, Hong Kong Children's Hospital, Hong Kong Special Administrative Region, China
| | - Pak-Leung Ho
- 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
| | - Kwok-Yung Yuen
- 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
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Wong SC, Chen JHK, Chau PH, Tam WO, Lam GKM, Yuen LLH, Chan WM, Chu AWH, Ip JD, Tsoi HW, So SYC, Chiu KHY, Yuen KY, To KKW, Cheng VCC. Tracking SARS-CoV-2 RNA in the air: Lessons from a COVID-19 outbreak in an infirmary unit. Am J Infect Control 2025; 53:348-356. [PMID: 39521437 DOI: 10.1016/j.ajic.2024.10.035] [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: 09/17/2024] [Revised: 10/29/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND The duration and magnitude of SARS-CoV-2 air dispersal during nosocomial outbreaks remain uncertain. This study evaluates the impact of mobile modular high-efficiency particulate air filter units (MMHUs) on SARS-CoV-2 air dispersal. METHODS We investigated a nosocomial COVID-19 outbreak in an infirmary unit. The viral load (VL) of SARS-CoV-2 in air samples was correlated with the VL in nasopharyngeal swabs with or without MMHU. These samples underwent whole-genome sequencing and phylogenetic analysis. RESULTS Upon outbreak declaration (August 2, 2024, day 0), 44 (69.8%) of 63 patients acquired COVID-19 in Ward 2B (19 male) and 2C (25 female) by day 4. The VL of SARS-CoV-2 remained detectable in air until day 11 (2B) and day 20 (2C). The VL of air samples was significantly correlated with the VL in nasopharyngeal swabs collected on days 5, 7, 10, and 13 in 2C (r = -0.975, P = .004). Using MMHU, the mean daily ratio of SARS-CoV-2 RNA (copies/1,000 L of air/patient) in 2B was 5 times lower than in 2C from days 5 to 10. Whole-genome sequencing revealed all 41 tested strains belonged to the Omicron variant, KP.3.1.1, phylogenetically related to the prevailing community strains. CONCLUSIONS Using MMHU mitigates the duration and magnitude of SARS-CoV-2 air dispersal during nosocomial outbreak.
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Affiliation(s)
- Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Pokfulam, Hong Kong Special Administrative Region of China; Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China
| | - Jonathan Hon-Kwan Chen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China
| | - Pui-Hing Chau
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China
| | - Wai-On Tam
- Infection Control Team, Grantham Hospital, Hong Kong West Cluster, Pokfulam, Hong Kong Special Administrative Region of China
| | - Germaine Kit-Ming Lam
- Infection Control Team, Grantham Hospital, Hong Kong West Cluster, Pokfulam, Hong Kong Special Administrative Region of China
| | - Lithia Lai-Ha Yuen
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Pokfulam, Hong Kong Special Administrative Region of China
| | - Wan-Mui Chan
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China
| | - Allen Wing-Ho Chu
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China
| | - Jonathan Daniel Ip
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China
| | - Hoi-Wah Tsoi
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China
| | - Simon Yung-Chun So
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China
| | - Kelvin Hei-Yeung Chiu
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China
| | - Kwok-Yung Yuen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China
| | - Kelvin Kai-Wang To
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China.
| | - Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Pokfulam, Hong Kong Special Administrative Region of China; Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of China; Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China.
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Wong SC, Chau PH, Chen H, So SYC, Chiu KHY, Chen JHK, Li X, Chui CSL, Yuen KY, Cheng VCC. The Emergence of Candida auris is Not Associated with Changes in Antifungal Prescription at Hospitals. Infect Drug Resist 2024; 17:1419-1429. [PMID: 38623528 PMCID: PMC11018130 DOI: 10.2147/idr.s451742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/23/2024] [Indexed: 04/17/2024] Open
Abstract
Purpose This study describes the emergence of Candida auris in Hong Kong, focusing on the incidence and trends of different Candida species over time. Additionally, the study analyzes the relationship between C. auris and antifungal prescription, as well as the impact of outbreaks caused by C. auris. Patients and Methods Data were collected from 43 public hospitals across seven healthcare networks (A to G) in Hong Kong, including Candida species culture and antifungal prescription information. Among 150,267 patients with 206,405 hospitalization episodes, 371,653 specimens tested positive for Candida species. Trends in Candida species and antifungal prescription were analyzed before (period 1: 2015 1Q to 2019 1Q) and after (period 2: 2019 2Q to 2023 2Q) the emergence of C. auris in Hong Kong. Results Candida albicans was the most prevalent species, accounting for 57.1% (212,163/371,653) of isolations, followed by Candida glabrata (13.1%, 48,666), Candida tropicalis (9.2%, 34,261), and Candida parapsilosis (5.3%, 19,688). C. auris represented 2.0% of all Candida species isolations. Comparing period 2 to period 1, the trend of C. albicans remained stable, while C. glabrata, C. tropicalis, and C. parapsilosis demonstrated a slower increasing trend in period 2 than in period 1. Other species, including C. auris, exhibited a 1.1% faster increase in trend during period 2 compared to period 1. Network A, with the highest antifungal prescription, did not experience any outbreaks, while networks F and G had 40 hospital outbreaks due to C. auris in period 2. Throughout the study period, healthcare networks B to G had significantly lower antifungal prescription compared to network A, ranging from 54% to 78% less than that of network A. Conclusion There is no evidence showing correlation between the emergence of C. auris and antifungal prescription in Hong Kong. Proactive infection control measures should be implemented to prevent nosocomial transmission and outbreak of C. auris.
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Affiliation(s)
- Shuk-Ching Wong
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, People’s Republic of China
| | - Pui-Hing Chau
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
| | - Hong Chen
- Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, People’s Republic of China
| | - Simon Yung-Chun So
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - Kelvin Hei-Yeung Chiu
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - Jonathan Hon-Kwan Chen
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - Xin Li
- School of Clinical Medicine, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
| | - Celine Sze-Ling Chui
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
| | - Kwok-Yung Yuen
- School of Clinical Medicine, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
| | - Vincent Chi-Chung Cheng
- Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
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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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Barry MC, Pathak EB, Swanson J, Cen R, Menard J, Salemi JL, Nembhard WN. Epidemiology of COVID-19 in Infants in the United States: Incidence, Severity, Fatality, and Variants of Concern. Pediatr Infect Dis J 2024; 43:217-225. [PMID: 38134379 DOI: 10.1097/inf.0000000000004201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
BACKGROUND The clinical spectrum of infant COVID-19 ranges from asymptomatic infection to life-threatening illness, yet epidemiologic surveillance has been limited for infants. METHODS Using COVID-19 case data (restricted to reporting states) and national mortality data, we calculated incidence, hospitalization, mortality and case fatality rates through March 2022. RESULTS Reported incidence of COVID-19 was 64.1 new cases per 1000 infant years (95% CI: 63.3-64.9). We estimated that 594,012 infants tested positive for COVID-19 nationwide by March 31, 2022. Viral variant comparisons revealed that incidence was 7× higher during the Omicron (January-March 2022) versus the pre-Delta period (June 2020-May 2021). The cumulative case hospitalization rate was 4.1% (95% CI: 4.0%-4.3%). For every 74 hospitalized infants, one infant death occurred, but overall COVID-19-related infant case fatality was low, with 7.0 deaths per 10,000 cases (95% CI: 5.6-8.7). Nationwide, 333 COVID-19 infant deaths were reported. Only 13 infant deaths (3.9%) were the result of usually lethal congenital anomalies. The majority of infant decedents were non-White (28.2% Black, 26.1% Hispanic, 8.1% Asian, Indigenous or multiracial). CONCLUSIONS More than half a million US infants contracted COVID-19 by March 2022. Longitudinal assessment of long-term infant SARS-CoV-2 infection sequelae remains a critical research gap. Extremely low infant vaccination rates (<5%), waning adult immunity and continued viral exposure risks suggest that infant COVID-19 will remain a persistent public health problem. Our study underscores the need to increase vaccination rates for mothers and infants, decrease viral exposure risks and improve health equity.
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Affiliation(s)
- Megan C Barry
- From the College of Public Health, University of South Florida, Tampa, Florida
| | | | - Justin Swanson
- From the College of Public Health, University of South Florida, Tampa, Florida
| | - Ruiqi Cen
- Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Janelle Menard
- Women's Institute for Independent Social Enquiry, Olney, Maryland
| | - Jason L Salemi
- From the College of Public Health, University of South Florida, Tampa, Florida
| | - Wendy N Nembhard
- Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas
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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: 2.5] [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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