Detailed analysis of in-hospital transmission of SARS-CoV-2 using whole genome sequencing.

BACKGROUND: Hospital transmission of SARS-CoV-2 has proved difficult to control, with healthcare-associated infections troublesome throughout. AIM: To understand factors contributing to hospital transmission of infections, which is necessary for containing spread. METHODS: An outbreak of 56 staff and patient cases of COVID-19 over a 31-day period in a tertiary referral unit is presented, with at least a further 29 cases identified outside of the unit and the hospital by whole genome sequencing (WGS). FINDINGS: Transmission is documented from staff to staff, staff to patients, and patients to staff, showing disruption of a tertiary referral service, despite implementation of nationally recommended control measures, superior ventilation, and use of personal protective equipment. There was extensive spread from the index case, despite this patient spending only 10 h bed bound on the ward in strict cubicle isolation and with an initial single target low level (CT = 32) polymerase chain reaction test. CONCLUSION: This investigation highlights how effectively and rapidly SARS-CoV-2 can spread in certain circumstances. It raises questions about infection control measures in place at the time and calls into question the premise that transmissibility can be reliably detected by using lower sensitivity rapid antigen lateral flow tests. We also highlight the value of early intervention in reducing impact as well as the value of WGS in understanding outbreaks.

Evaluation of physical and psychological status of health care workers infected with COVID-19 during a hospital outbreak in Japan.

PURPOSE: COVID-19 causes physical and psychological impacts on health care workers (HCWs), especially when it occurs during an outbreak. As there are few reports on outcomes of HCWs infected with COVID-19 during a hospital outbreak, we investigated the physical and psychological impacts on HCWs infected with COVID-19 during an outbreak in our hospital. METHODS: During the outbreak in our hospital, 231 people were infected with COVID-19 including patients, HCWs and their families. Among them, 83 HCWs were enrolled in this study. Current quality of life (QOL) was assessed with the EuroQol-visual analogue scales (EQ-VAS), and motivation to keep on working was evaluated by a 10-point analogue scale. Physiological recovery rates including return to work (RTW) period were also analyzed. RESULTS: One nurse quit work due to anxiety regarding re-infection with COVID-19. The median period to RTW from the diagnosis was 14.0 (12.0-17.0) days. Motivation to keep on working was slightly reduced, and the EQ-VAS was 75.0 (65.0-83.6). There were no significant differences in QOL and motivation between male and female HCWs, nurses and other HCWs, treatment and non-treatment group, and supplemental and non-supplemental oxygen group. The most frequent persistent symptoms at 1,3 and 6 months after infection were anosmia followed by fatigue. CONCLUSION: Although QOL and motivation to keep on working were slightly reduced, only one HCW quit work. No severe persistent symptoms were observed, and the RTW period was relatively short.

Pseudomonas aeruginosa countrywide outbreak in hospitals linked to pre-moistened non-sterile washcloths, Norway, October 2021 to April 2022.

In November 2021, a clonal outbreak of Pseudomonas aeruginosa of novel sequence type ST3875 was detected in three patients who died of bloodstream infections in one hospital. By 25 April 2022, the outbreak included 339 cases from 38 hospitals across Norway. Initial hospital reports indicate Pseudomonas infection as the main contributing cause in seven deaths. In March 2022, the outbreak strain was identified in non-sterile pre-moistened disposable washcloths, used to clean patients, from three lots from the same international manufacturer.

Investigating COVID-19 transmission in a tertiary hospital in Hanoi, Vietnam using social network analysis.

OBJECTIVES: In March 2020, a COVID-19 outbreak in a major referral hospital in Hanoi, Vietnam led to 7664 patients and staff being sent into lockdown for 2 weeks, and more than 52,200 persons across 49 provinces being quarantined. We assessed SARS-CoV-2 transmission patterns during this to-date largest hospital outbreak in Vietnam using social network analysis (SNA). METHODS: We constructed a directed relational network and calculated network metrics for 'degree', 'betweenness', 'closeness' and 'eigenvector' centrality to understand individual-level transmission patterns. We analysed network components and modularity to identify sub-network structures with disproportionately big effects. RESULTS: We detected 68 connections between 46 confirmed cases, of whom 27 (58.7%) were ancillary support staff, 7 (15.2%) caregivers, 6 (13%) patients and 2 (4.4%) nurses. Among the 10 most important cases selected by each SNA network metric, transmission dynamics clustered in 17 cases, of whom 12 (70.6%) cases were ancillary support staff. Ancillary support staff also constituted 71.1% of cases in the dominant sub-network and 68.8% of cases in the three largest sub-communities. CONCLUSIONS: We identified non-clinical ancillary support staff, who are responsible for room service and food distribution in hospital wards in Vietnam, as a group with disproportionally big impacts on transmission dynamics during this outbreak. Our findings call for a holistic approach to nosocomial outbreak prevention and response that includes both clinical and non-clinical hospital staff. Our work also shows the potential of SNA as a complementary outbreak investigation method to better understand infection patterns in hospitals and similar settings.

Lessons learned from an outbreak of COVID-19 in the head and neck surgery ward of a Japanese cancer center during the sixth wave by Omicron.

INTRODUCTION: We describe a coronavirus disease (COVID-19) outbreak in a cancer center's head and neck surgery ward and the interventions to halt ongoing exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among healthcare workers and patients with cancer. METHODS: Case definition included all healthcare workers and all patients associated to the ward from January 27 to January 31, 2022 with a positive SARS-COV-2 antigen test. This retrospective descriptive study was conducted between January 27, 2022, and February 14, 2022. RESULTS: From January 28, 2022, to February 9, 2022, 84 cases (36 healthcare workers, 48 patients) were screened, and 26 (12 healthcare workers, 14 patients) were identified as SARS-CoV-2-positive. The proportion of healthcare providers who performed aerosol generating procedures on positive patients was 91% for positive cases and 49% for non-cases. Room sharing with patients with COVID-19 was 64% for positive cases and 21% for non-cases (57% vs. 21% with positive tracheostomy patients; 43% vs. 9% with positive cases using a nebulizer; 50% vs. 15% with positive cases requiring sputum suctioning, respectively). Compliance with the universal masking policy for patients was 36% of positive cases and 79% of non-cases. CONCLUSIONS: This is the first report of a nosocomial outbreak of COVID-19 in a head and neck surgery ward during the Omicron pandemic. Notably, there were a high number of positive cases among healthcare workers who performed aerosol generating procedures for positive patients and patients who shared the room with a patient with COVID-19 with the potential to generate aerosols.

PRECISION PUBLIC HEALTH-NEED OF THE HOUR

The Precision Public Health (PPH) is a new field driven by technological advances that enable more precise descriptions and analyses of individuals and population groups, with a view to improving the overall health of populations. PPH can be simply viewed as delivering the right intervention to the right population at the right time. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, health informatics, big data, predictive analytics and communications. Beyond genomics, all kinds of data can be used in measuring determinants of health and impact of interventions. A priority for public health is the use of information technology and data science in enhancing public health surveillance and tracking. Top priorities included: early detection of outbreaks, modernizing surveillance, and targeted health interventions. To achieve such improvements, comprehensive and real-time data to learn from are necessary. A recent application of PPH is the rapid emergence of a novel corona virus has facilitated an accelerated use of the applications of "big data" tools and technologies like use of whole-genome sequencing to track the virus origin and spread;detailed geographic information to track spread at the global, country, and local levels ;the use of smart phone-based tracking and control ;and rapid characterization of risk factors related to severe disease such as age, underlying medical conditions to tackle the spread of COVID 19.

NGSocomial Infections: High-Resolution Views of Hospital-Acquired Infections Through Genomic Epidemiology.

Hospital outbreak investigations are high-stakes epidemiology. Contacts between staff and patients are numerous; environmental and community exposures are plentiful; and patients are highly vulnerable. Having the best data is paramount to understanding an outbreak in order to stop ongoing transmission and prevent future outbreaks. In the past 5 years, the high-resolution view of transmission offered by analyzing pathogen whole-genome sequencing (WGS) is increasingly part of hospital outbreak investigations. Concerns over speed and actionability, assay validation, liability, cost, and payment models lead to further opportunities for work in this area. Now accelerated by funding for COVID-19, the use of genomics in hospital outbreak investigations has firmly moved from the academic literature to more quotidian operations, with associated concerns involving regulatory affairs, data integration, and clinical interpretation. This review details past uses of WGS data in hospital-acquired infection outbreaks as well as future opportunities to increase its utility and growth in hospital infection prevention.

Nosocomial Outbreak of Coronavirus Disease 2019 by Possible Airborne Transmission Leading to a Superspreading Event.

BACKGROUND: Nosocomial outbreaks with superspreading of coronavirus disease 2019 due to a possible airborne transmission have not been reported. METHODS: Epidemiological analysis, environmental samplings, and whole-genome sequencing (WGS) were performed for a hospital outbreak. RESULTS: A superspreading event that involved 12 patients and 9 healthcare workers (HCWs) occurred within 9 days in 3 of 6 cubicles at an old-fashioned general ward with no air exhaust built within the cubicles. The environmental contamination by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was significantly higher in air grilles (>2 m from patients' heads and not within reach) than on high-touch clinical surfaces (36.4%, 8 of 22 vs 3.4%, 1 of 29, P = .003). Six (66.7%) of 9 contaminated air exhaust grilles were located outside patient cubicles. The clinical attack rate of patients was significantly higher than of HCWs (15.4%, 12 of 78 exposed patients vs 4.6%, 9 of 195 exposed HCWs, P = .005). Moreover, the clinical attack rate of ward-based HCWs was significantly higher than of nonward-based HCWs (8.1%, 7 of 68 vs 1.8%, 2 of 109, P = .045). The episodes (mean ±â€…standard deviation) of patient-care duty assignment in the cubicles was significantly higher among infected ward-based HCWs than among noninfected ward-based HCWs (6.0 ±â€…2.4 vs 3.0 ±â€…2.9, P = .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. CONCLUSIONS: This nosocomial point source superspreading event due to possible airborne transmission demonstrates the need for stringent SARS-CoV-2 screening at admission to healthcare facilities and better architectural design of ventilation systems to prevent such outbreaks. Portable high-efficiency particulate filters were installed in each cubicle to improve ventilation before resumption of clinical service.

Primary to tertiary COVID-19 transmission in a hospital - A cluster outbreak analysis.

The recent pandemic of SARS COV-2, a novel coronavirus requires research into understanding of its transmission dynamics and clinical presentations to help in understanding the spread of the disease, how to prevent it not only locally but also for national policy formulations. In this study, we described the transmission dynamics and clinical presentations of a cluster outbreak of SARS COV-2 in a tertiary level hospital. We also calculated the secondary attack rate for the primary, secondary, and tertiary transmissions. We conclude that symptomatic COVID-19 are primary and secondary contacts rather than tertiary contacts, hence, former to be quarantined. However, tertiary transmission is causing more COVID-19 compared to other transmissions in a hospital outbreak without further transmissibility. And overall secondary attack rate is very low in a hospital outbreak.

Why psychiatry is different - challenges and difficulties in managing a nosocomial outbreak of coronavirus disease (COVID-19) in hospital care.

OBJECTIVE: Coronavirus disease (COVID-19) was officially declared a pandemic in March 2020. Many cases of COVID-19 are nosocomial, but to the best of our knowledge, no nosocomial outbreaks on psychiatric departments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported in Europe. The different nature of psychiatry makes outbreak management more difficult. This study determines which psychiatry specific factors contributed to a nosocomial outbreak taking place in a psychiatric department. This will provide possible interventions in future outbreak management. METHOD: A case series describing a nosocomial outbreak in a psychiatric department of an acute care hospital in the Netherlands between March 13, 2020 and April, 14 2020. The outbreak was analyzed by combining data from standardized interviews, polymerase chain reaction (PCR) tests and whole genome sequencing (WGS). RESULTS: The nosocomial outbreak in which 43% of staff of the psychiatric department and 19% of admitted patients were involved, was caused by healthcare worker (HCW)-to-HCW transmissions, as well as patient-to-HCW-to-patient transmission. We identified four aspects associated with the mental health care system which might have made our department more susceptible to an outbreak. CONCLUSIONS: Infection control measures designed for hospitals are not directly applicable to psychiatric departments. Psychiatric patients should be considered a high-risk group for infectious diseases and customized measures should be designed and implemented. Extra attention for psychiatric departments is necessary during a pandemic as psychiatric HCWs are less familiar with outbreak management. Clear communication and governance is crucial in correctly implementing these measures.

Prolonged persistence of PCR-detectable virus during an outbreak of SARS-CoV-2 in an inpatient geriatric psychiatry unit in King County, Washington.

BACKGROUND: We describe key characteristics, interventions, and outcomes of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak within an inpatient geriatric psychiatry unit at the University of Washington Medical Center - Northwest. METHODS: After identifying 2 patients with SARS-CoV-2 infection on March 11, 2020, we conducted an outbreak investigation and employed targeted interventions including: screening of patients and staff; isolation and cohorting of confirmed cases; serial testing; and enhanced infection prevention measures. RESULTS: We identified 10 patients and 7 staff members with SARS-CoV-2 infection. Thirty percent of patients (n = 3) remained asymptomatic over the course of infection. Among SARS-CoV-2 positive patients, fever (n = 5, 50%) and cough (n = 4, 40%) were the most common symptoms. Median duration of reverse transcription polymerase chain reaction (RT-PCR) positivity was 25.5 days (interquartile range [IQR] 22.8-41.8) among symptomatic patients and 22.0 days (IQR 19.5-25.5) among asymptomatic patients. Median initial (19.0, IQR 18.7-25.7 vs 21.7, IQR 20.7-25.6) and nadir (18.9, IQR 18.2-20.3 vs 19.8, IQR 17.0-20.7) cycle threshold values were similar across symptomatic and asymptomatic patients, respectively. CONCLUSIONS: Asymptomatic infection was common in this cohort of hospitalized, elderly individuals despite similar duration of SARS-CoV-2 RT-PCR positivity and cycle threshold values among symptomatic and asymptomatic patients.

Containing the first outbreak of COVID-19 in a healthcare setting in India: The sree chitra experience.

The response to the first health worker case in India and novel strategies adopted in the context of evolving pandemic of COVID-19 is presented here. On the same day of confirmation, institutional COVID cell was established, and contact tracing was started. A total of 184 contacts were identified and quarantined. Hospital services were scaled down, and responsibilities were reassigned. In-house digital platforms were used for daily meetings, contact tracing, line listing, risk stratification, and research. Reverse transcription polymerase chain reaction-based severe acute respiratory syndrome-CoV2 testing facility was established in the institute. All high-risk contacts were given hydroxychloroquine prophylaxis. No secondary cases were found. Hospital preparedness, participatory decision-making through institutional COVID cell, optimal use of in-house digital platforms, and coordination with the state health department and national bodies, including Indian Council of Medical Research, were the supporting factors. Rapidly evolving guidelines, trepidation about the disease, logistic delays, and lack of support systems for people under quarantine were the challenges in the containment exercise.