An outbreak of COVID-19 associated with a fitness centre in Saskatchewan: Lessons for prevention

BACKGROUND

An outbreak of the coronavirus disease 2019 (COVID-19) occurred in Saskatchewan from September 12 to October 20, 2020. The index event, attendance at a local gym, seeded six additional clusters/outbreaks in multiple settings. These included a high school, a hospital, three workplaces (A, B and C) and several households. The overall cluster comprised 63 cases, 27 gym members and an additional 36 second, third and fourth generation cases.

METHODS

All outbreak-related, laboratory-confirmed cases of COVID-19 were included in the analysis. Local public health authorities interviewed all cases and contacts and conducted environmental investigations of the fitness facility. We used descriptive epidemiological methods to understand transmission dynamics of the gym-associated cluster using case investigation, contact investigation and laboratory data, including whole genome sequencing.

RESULTS

Sequencing data confirmed the unique lineage of cluster-related cases (n=32 sequenced; severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2] lineage B.1.1.72). In addition to gym attendance, infectious cases attended high school and were involved in other activities. Despite ongoing transmission in the fitness facility, no secondary cases were identified in the high school where four student belonging to the cluster attended class during their infectious period.

CONCLUSION

We describe an outbreak of COVID-19 where the index case(s) attended a fitness facility, and further spread occurred for 38 days despite active-case finding and isolation of positive cases over this period. Due to gym attendance over time, short-term closing and cleaning may not interrupt chains of transmission. Targeted, preventive public health action in fitness facilities may be warranted. Control measures worked to limit in-school acquisition.

Logically Inferred Tuberculosis Transmission (LITT): A Data Integration Algorithm to Rank Potential Source Cases

Understanding tuberculosis (TB) transmission chains can help public health staff target their resources to prevent further transmission, but currently there are few tools to automate this process. We have developed the Logically Inferred Tuberculosis Transmission (LITT) algorithm to systematize the integration and analysis of whole-genome sequencing, clinical, and epidemiological data. Based on the work typically performed by hand during a cluster investigation, LITT identifies and ranks potential source cases for each case in a TB cluster. We evaluated LITT using a diverse dataset of 534 cases in 56 clusters (size range: 2–69 cases), which were investigated locally in three different U.S. jurisdictions. Investigators and LITT agreed on the most likely source case for 145 (80%) of 181 cases. By reviewing discrepancies, we found that many of the remaining differences resulted from errors in the dataset used for the LITT algorithm. In addition, we developed a graphical user interface, user's manual, and training resources to improve LITT accessibility for frontline staff. While LITT cannot replace thorough field investigation, the algorithm can help investigators systematically analyze and interpret complex data over the course of a TB cluster investigation.

Code available at:https://github.com/CDCgov/TB_molecular_epidemiology/tree/1.0; https://zenodo.org/badge/latestdoi/166261171.

A multiple site community outbreak of COVID-19 in Sydney, Australia

OBJECTIVE

To investigate an outbreak of COVID-19 in Sydney, Australia.

METHODS

Epidemiological linking and analysis of cases of COVID-19 across multiple outbreak sites.

RESULTS

Fifteen cases of COVID-19 and 41 contacts were identified and linked in a cluster that included one workplace and five households. The mean incubation period in the cases ranged from 4.6 to 6.4 days, while the median incubation period was shorter, ranging from 3 to 5 days. The overall range of incubation periods was 2 to 12 days. Differential attack rates were found within households (86% adults vs. 9% children) and workplace (32%) settings. Conclusions and implications for public health: Our investigation links cases between multiple households and a workplace. When exploring these links using a rapid workplace assessment, real-time cluster data along with objective measurements of exposure, such as with the Australian Government COVIDSafe app, may have allowed these links to be identified more readily and potentially reduced further spread of COVID-19. We found age as a factor for infection, with children being less likely to both acquire SARS-CoV-2 infection and to develop symptoms. This finding aids in our understanding of how the virus affects children and cautiously supports face-to-face classroom teaching.

Investigation of a community cluster of cutaneous Mycobacterium marinum infection, an emerging zoonotic pathogen in aquaculture industry, Haliburton, Kawartha, Pine Ridge District Health Unit, Ontario, Canada, July-August 2015

In July 2015, a cluster of five suspect cases of clinically diagnosed Mycobacterium marinum (M. marinum) skin infections were reported to the Haliburton, Kawartha, Pine Ridge District Health Unit (HKPRDHU), Ontario, Canada, with two additional cases subsequently identified through case finding. All seven cases presented with cutaneous lesions located on the finger, hand and/or elbow regions typical of M. marinum infection. Specimens were collected by skin biopsy for two of the seven cases; both cases tested positive for M. marinum by molecular detection (hsp65 gene amplification and sequencing), and one was confirmed positive for M. marinum by culture. All seven cases reported handling raw shrimp from an aquaculture facility in the Health Unit's jurisdiction. M. marinum is not a reportable disease in Ontario, and there are no known previous reports of a cluster of M. marinum reported in Ontario, Canada. A cluster investigation working group was struck that included representation from various agencies including Public Health Ontario (PHO), Public Health Ontario Laboratories (PHOL), Ontario Ministry of Agriculture and Rural Affairs (OMAFRA) and the two health units involved in case investigations. Several public health and aquaculture farming recommendations were made to mitigate further risks associated with handling of raw shrimp from the facility. Several challenges were faced during the investigation process. The paper discusses these challenges and public health recommendations made in order to mitigate occupational and public health risks related to the hazard identified.

Cluster of Ebola Virus Disease, Bong and Montserrado Counties, Liberia

Lack of trust in government-supported services after the death of a health care worker with symptoms of Ebola resulted in ongoing Ebola transmission in 2 Liberia counties. Ebola transmission was facilitated by attempts to avoid cremation of the deceased patient and delays in identifying and monitoring contacts.