The value of universal screening for COVID-19 cases on cruise ships during outbreaks

OBJECTIVES

To describe the impact of universal screening for coronavirus disease 2019 (COVID-19) on passengers on cruise ships docking in Sydney, Australia, during 2022 that experienced a significant outbreak of COVID-19. Type of program or service: Cruise ship disease surveillance Methods: Case series, based on analysis of cruise ship voyages where universal screening of passengers was requested by a NSW health authority and undertaken by the cruise ship.

RESULTS

Of 111 voyages in 2022, three fit the definition for this study. Universal screening during these voyages resulted in the detection of up to 1.8 times the number of existing COVID-19 cases, increasing attack rates of the three voyages from 14% to 24%; 13% to 28%; and 3% to 8% respectively. Case demographics showed an even gender distribution, with a majority 70 years or older. Asymptomatic case percentage ranged from 2% to 54%, with age and gender not associated with symptomatic status. Almost all cases were reported as being fully vaccinated. Genomic testing of cases showed multiple lineages of COVID-19 circulating in all three voyages.

LESSONS LEARNT

Public health authorities, the cruise industry and passengers should be aware that a large number of unidentified cases of COVID-19 may disembark from a cruise ship that has experienced a large outbreak of the virus. These cases can seed the infection into vulnerable communities. Universal screening as part of the response to a significant outbreak will help identify cases and limit the spread of COVID-19.

Community Outbreak of Pseudomonas aeruginosa Infections Associated with Contaminated Piercing Aftercare Solution, Australia, 2021

In April 2021, the South Eastern Sydney Local Health District Public Health Unit (Sydney, New South Wales, Australia) was notified of 3 patients with Pseudomonas aeruginosa infections secondary to skin piercings performed at the same salon. Active case finding through laboratories, clinician alerts, and monitoring hospital visits for piercing-related infections identified additional cases across New South Wales, and consumers were alerted. We identified 13 confirmed and 40 probable case-patients and linked clinical isolates by genomic sequencing. Ten confirmed case-patients had used the same brand and batch of aftercare solution. We isolated P. aeruginosa from opened and unopened bottles of this solution batch that matched the outbreak strain identified by genomic sequencing. Piercing-related infections returned to baseline levels after this solution batch was recalled. Early outbreak detection and source attribution via genomic sequencing are crucial for controlling outbreaks linked to contaminated products. Manufacturing standards for nonsterile cosmetic products and guidance for piercing aftercare warrant review.

Risk factors leading to COVID-19 cases in a Sydney restaurant

OBJECTIVE

To explore the factors associated with the transmission of SARS-CoV-2 to patrons of a restaurant.

METHODS

A retrospective cohort design was undertaken, with spatial examination and genomic sequencing of cases. The cohort included all patrons who attended the restaurant on Saturday 25 July 2020. A case was identified as a person who tested positive to a validated specific Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) nucleic acid test. Associations were tested using chi-squared analysis of case versus non-case behaviours.

RESULTS

Twenty cases were epidemiologically linked to exposure at the restaurant on 25 July 2020. All cases dined indoors. All cases able to be genomic sequenced were found to have the same unique mutational profile. Factors tested for an association to the outcome included attentiveness by staff, drink consumption, bathroom use and payment by credit card. No significant results were found.

CONCLUSION

Indoor dining was identified as a key factor in SARS-CoV-2 transmission, and outdoor dining as a way to limit transmission. Implications for public health: This investigation provides empirical evidence to support public health policies regarding indoor dining.

Using a computerised database (REDCap) to monitor influenza vaccination coverage of healthcare workers and staff in South Eastern Sydney Local Health District

ObjectiveNew South Wales (NSW) experienced a severe influenza season in 2017. In 2018, NSW Health implemented a campaign to improve healthcare worker (HCW) influenza vaccination coverage. The South Eastern Sydney Local Health District (LHD) trialled a centralised online database to monitor HCW uptake of the vaccination. This paper outlines how the monitoring system was chosen and developed, the process of implementation and the effectiveness of the system in this setting. MethodsA literature review was conducted to identify an appropriate database. Stakeholder working groups took place across the LHD regarding implementation. An online vaccination consent form was developed and installed on the LHD network within 2 weeks. Administrative staff ensured timely entry of HCW data and vaccination status and analysis of uptake using Microsoft Excel. ResultsREDCap (Vanderbilt University, Nashville, TN, USA) was identified as the most appropriate web-based platform based on the ease of developing a secure and inexpensive data collection tool in a short time period. In all, 10064 employees were recorded in REDCap as having received the influenza vaccine. Customised REDCap reports allowed managers to follow up staff yet to receive their vaccination, which resulted in further vaccinations. ConclusionsREDCap was successfully used as a data collection tool to track the influenza vaccination rates of staff. The data assisted the District Workforce Services in ensuring that facilities complied with NSW Health policy. This study highlights how REDCap may be used by similar organisations to monitor influenza vaccination of HCWs. What is known about the topic?There is increasing recognition of the need to ensure high-quality monitoring of HCW influenza vaccination rates, yet coverage is often difficult to measure accurately due to a lack of centralised reporting and monitoring systems. What does this paper add?This paper outlines how a computerised database (REDCap) was used by a NSW Health jurisdiction to monitor a vaccination program. REDCap is an inexpensive and easy to use system that allowed public health authorities rapid analysis of HCW vaccination coverage rates. What are the implications for practitioners?The findings add to the growing body of evidence demonstrating the utility of online systems for monitoring HCW influenza vaccinations. These results will be relevant to healthcare organisations and public health practitioners seeking quick and feasible research and data collection platforms.

Use of genotypic identification by sodA sequencing in a prospective study to examine the distribution of coagulase-negative Staphylococcus species among strains recovered during septic orthopedic surgery and evaluate their significance

A total of 212 coagulase-negative Staphylococcus strains recovered prospectively during 119 surgeries for proven or suspected bone and joint infection (BJI) were identified by sodA sequencing. These strains were identified as 151 Staphylococcus epidermidis isolates, 15 S. warneri isolates, 14 S. capitis isolates, 9 S. hominis isolates, 6 S. lugdunensis isolates, 5 S. haemolyticus isolates, 4 S. caprae isolates, 4 S. pasteuri isolates, 3 S. simulans isolates, and 1 S. cohnii isolate. Only S. epidermidis, S. lugdunensis, S. capitis, and S. caprae were found to be infecting organisms and were involved, respectively, in 35 (81.4%), 3 (7.0%), 3 (7.0%), and 2 (4.6%) cases of BJI.

Use of sodA sequencing for the identification of clinical isolates of coagulase-negative staphylococci

This study evaluated the possible advantages provided by a genotypic method over commercially available biochemical systems for the identification of clinical isolates of coagulase-negative staphylococci (CNS). Partial sequencing of the sodA gene was performed for 168 coagulase-negative clinical isolates of staphylococci identified previously with the ID32 STAPH system. Of these, 101 (60.1%) were identified to the species level with ID32 STAPH, while 67 (39.9%) were misidentified or not identified with certainty. Sequencing of sodA proved useful for resolving all ambiguities or inconclusive identifications generated by the commercially available biochemical identification system.