In-person learning low risk for COVID-19 acquisition: Findings from a population-based analysis of the 2020-2021 school year in Saskatchewan, Canada.

Background: The coronavirus disease 2019 (COVID-19) pandemic has caused substantial disruption to in-person learning, often interfering with the social and educational experience of children and youth across North America, and frequently impacting the greater community by limiting the ability of parents and caregivers to work outside the home. Real-world evidence related to the risk of COVID-19 transmission in school settings can help inform decisions around initiating, continuing, or suspending in-person learning. Methods: We analyzed routinely collected case-based surveillance data from Saskatchewan's electronic integrated public health system, Panorama, from the 2020-2021 school year, spanning various phases of the pandemic (including the Alpha variant wave), to better understand the risk of in-school transmission of COVID-19 in Saskatchewan schools. Results: The majority (over 80%) of school-associated COVID-19 infections were acquired outside the school setting. This finding suggests that the non-pharmaceutical measures in place (including masking, distancing, enhanced hygiene, and cohorting) worked to limit viral spread in schools. Conclusion: Implementation of such control measures may play an essential role in allowing children and youth to safely maintain in-person learning during the pandemic.

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.

Can Social Network Analysis Help Address the High Rates of Bacterial Sexually Transmitted Infections in Saskatchewan?

BACKGROUND: Saskatchewan has one of the highest rates of gonorrhea among the Canadian provinces-more than double the national rate. In light of these high rates, and the growing threat of untreatable infections, improved understanding of gonorrhea transmission dynamics in the province and evaluation of the current system and tools for disease control are important. METHODS: We extracted data from a cross-sectional sample of laboratory-confirmed gonorrhea cases between 2003 and 2012 from the notifiable disease files of the Regina Qu'Appelle Health Region. The database was stratified by calendar year, and social network analysis combined with statistical modeling was used to identify associations between measures of connection within the network and the odds of repeat gonorrhea and risk of coinfection with chlamydia at the time of diagnosis. RESULTS: Networks were highly fragmented. Younger age and component size were positively associated with being coinfected with chlamydia. Being coinfected, reporting sex trade involvement, and component size were all positively associated with repeat infection. CONCLUSIONS: This is the first study to apply social network analysis to gonorrhea transmission in Saskatchewan and contributes important information about the relationship of network connections to gonorrhea/chlamydia coinfection and repeat gonorrhea. This study also suggests several areas for change of systems-related factors that could greatly increase understanding of social networks and enhance the potential for bacterial sexually transmitted infection control in Saskatchewan.

Demographic and behavioural characteristics predict bacterial STI reinfection and coinfection among a cross-sectional sample of laboratory-confirmed gonorrhea cases in a local health region from Saskatchewan, Canada.

OBJECTIVES: We aimed to identify demographic and behavioural determinants associated with risk of repeat STI infection and coinfection with gonorrhea and chlamydia in the Regina Qu'Appelle Health Region, Saskatchewan. METHODS: We extracted data from a cross-sectional sample of laboratory confirmed gonorrhea cases between 2003 and 2012 from the notifiable disease files of the Regina Qu'Appelle Health Region. Risk factors for repeater status were examined using logistic regression and for coinfection with gonorrhea and chlamydia using mixed-effects logistic regression to account for multiple diagnoses for individual clients. RESULTS: Data from 1,143 cases (representing 1,027 unique individuals) and 1,524 reported contacts (representing 1,383 unique individuals) were extracted from the 10-year period. Factors associated with repeat infection entries in the database included younger age at first visit (p = 0.01), coinfection (p = 0.01), and sex trade involvement (p < 0.01). Factors associated with coinfection at the time of diagnosis included younger age at diagnosis (p < 0.001) and reported alcohol or drug abuse (p = 0.04). CONCLUSION: In one of the first epidemiologic studies on gonorrhea in Saskatchewan, we have identified age, engagement in the sex trade, and drug and alcohol abuse as potential markers to identify clients with a high risk of reinfection and coinfection in the Regina Qu'Appelle Health Region. This information can help health care professionals in Saskatchewan's urban centres personalize their approach to counselling and treatment to optimize patient outcomes and disease control efforts, including potentially using expedited partner therapy and/or dual therapy where indicated.

Revised simulation model does not predict rebound in gonorrhoea prevalence where core groups are treated in the presence of antimicrobial resistance.

OBJECTIVES: To determine the effects of using discrete versus continuous quantities of people in a compartmental model examining the contribution of antimicrobial resistance (AMR) to rebound in the prevalence of gonorrhoea. METHODS: A previously published transmission model was reconfigured to represent the occurrence of gonorrhoea in discrete persons, rather than allowing fractions of infected individuals during simulations. RESULTS: In the revised model, prevalence only rebounded under scenarios reproduced from the original paper when AMR occurrence was increased by 10(5) times. In such situations, treatment of high-risk individuals yielded outcomes very similar to those resulting from treatment of low-risk and intermediate-risk individuals. Otherwise, in contrast with the original model, prevalence was the lowest when the high-risk group was treated, supporting the current policy of targeting treatment to high-risk groups. CONCLUSIONS: Simulation models can be highly sensitive to structural features. Small differences in structure and parameters can substantially influence predicted outcomes and policy prescriptions, and must be carefully considered.

Behavioral and socioeconomic risk factors associated with probable resistance to ceftriaxone and resistance to penicillin and tetracycline in Neisseria gonorrhoeae in Shanghai.

Globally, incidence of Neisseria gonorrhoeae infection is once again the highest of the bacterial sexually transmitted infections. The bacterium can produce serious complications in those infected, and emerging resistance to third generation cephalosporins could usher in an era of potentially untreatable gonorrhea. This research aimed to identify risk factors for antibiotic resistant gonorrhea infection among clients at a Shanghai sexually transmitted infection clinic over two time periods, 2004-2005 and 2008-2011. Demographic and risk factor behavior data, and biological samples for antimicrobial resistance analysis, were collected. Statistical models were built to identify risk factors associated with probable resistance to ceftriaxone and resistance to penicillin and tetracycline. High levels of ciprofloxacin resistance (98%) in our sample precluded examining its risk factors; all isolates were susceptible to spectinomycin. Overall (P<0.001), chromosomal (P<0.001), and plasmid-mediated (P = 0.01) penicillin resistance decreased from the first to second period of the study. For tetracycline, chromosomal resistance decreased (P = 0.01) and plasmid-mediated resistance increased (P<0.001) between the first and second periods of study. In multi-level multivariable regression models, male gender (P = 0.03) and older age (P = 0.01) were associated with increased minimum inhibitory concentrations to ceftriaxone. Male gender (P = 0.03) and alcohol use (P = 0.02) were associated with increased odds of overall tetracycline resistance. Male gender was associated with increased odds of chromosomally-mediated tetracycline resistance (P = 0.04), and alcohol use was associated with increased odds of plasmid-mediated tetracycline resistance (P = 0.02). Additionally, individuals in middle-salary categories were found to have lower odds of plasmid-mediated resistance to tetracycline compared with those in the lowest salary category (P≤0.02). This study is one of the first to use multilevel analysis to consider the association between risk factors for gonorrhea infections and mechanisms of resistance to individual antibiotics. Such information is urgently needed to combat the growing threat of untreatable gonorrhea.

Female partner notification is a promising prevention strategy for controlling sexually transmitted infections in Shanghai: demographic and behavioral data from a Shanghai clinic.

We identified predictors of partner presentation and condom use among male gonorrhea patients in Shanghai, China. Stable relationships, intercourse in the preceding week, and longer duration of symptoms were associated with partner presentation. Men were more likely to use condoms with their spouse and if they were 35 years or younger.

Two decades of the gonococcal antimicrobial surveillance program in South America and the Caribbean: challenges and opportunities.

OBJECTIVES: The WHO has called for a global action plan to control the spread and impact of antibiotic resistant Neisseria gonorrhoeae. We report on key antimicrobial susceptibility (AMS) trends in countries in Latin America and the Caribbean from 1990 to 2011. METHODS: Data collected between 1990 and 2011 by up to 23 countries in the Latin American and Caribbean region were aggregated and analysed for overall trends in N gonorrhoeae AMS to six antibiotics. Methods for gonococcal identification, susceptibility testing and interpretation were standardised. RESULTS: More than 21 500 N gonorrhoeae isolates were tested for AMS between 1990 and 2011. The number of countries reporting yearly declined from 17 in the 1990 s to 7 in 2011. The first isolates (0.4%, 20/5171) with reduced susceptibility (minimum inhibitory concentration ≥ 0.125 mg/L) to ceftriaxone were reported between 2007 and 2011. Ciprofloxacin resistance, first noted in the mid-1990 s, ranged from 1.6% of isolates tested in 1997 rising to 42.1% in 2010. Overall, azithromycin resistance reached a high of 25.8% of isolates tested in 2008 falling to 1.0% in 2010. Resistance to penicillin ranged between 24.2% in 2003 to a high of 48.5% in 1993. Tetracycline resistance ranged between a high of 61.1% of isolates tested in 2001 to 21.8% in 2010. Plasmid mediated penicillin and tetracycline resistance declined over the period. CONCLUSIONS: Gonococcal AMS surveillance initiatives are urgently needed in every country in the region to ensure that effective treatments for gonococcal infections are in place and to better understand emerging trends in gonococcal antimicrobial resistance.