A new method for estimating the effort required to control an infectious disease

We propose a new threshold quantity for the analysis of the epidemiology of infectious diseases. The quantity is similar in concept to the familiar basic reproduction ratio, R0, but it singles out particular host types instead of providing a criterion that is uniform for all host types. Using this methodology we are able to identify the long-term effects of disease-control strategies for particular subgroups of the population, to estimate the level of control necessary when targeting control effort at a subset of host types, and to identify host types that constitute a reservoir of infection. These insights cannot be obtained by using R0 alone.     

Characteristics of children admitted to hospital with acute SARS-CoV-2 infection in Canada in 2020

Background:Risk factors for severe outcomes of SARS-CoV-2 infection are not well established in children. We sought to describe pediatric hospital admissions associated with SARS-CoV-2 infection in Canada and identify risk factors for more severe disease.Methods:We conducted a national prospective study using the infrastructure of the Canadian Paediatric Surveillance Program (CPSP). Cases involving children who were admitted to hospital with microbiologically confirmed SARS-CoV-2 infection were reported from Apr. 8 to Dec. 31 2020, through weekly online questionnaires distributed to the CPSP network of more than 2800 pediatricians. We categorized hospital admissions as related to COVID-19, incidental, or for social or infection control reasons and determined risk factors for disease severity in hospital.Results:Among 264 hospital admissions involving children with SARS-CoV-2 infection during the 9-month study period, 150 (56.8%) admissions were related to COVID-19 and 100 (37.9%) were incidental infections (admissions for other reasons and found to be positive for SARS-CoV-2 on screening). Infants (37.3%) and adolescents (29.6%) represented most cases. Among hospital admissions related to COVID-19, 52 (34.7%) had critical disease, 42 (28.0%) of whom required any form of respiratory or hemodynamic support, and 59 (39.3%) had at least 1 underlying comorbidity. Children with obesity, chronic neurologic conditions or chronic lung disease other than asthma were more likely to have severe or critical COVID-19.Interpretation:Among children who were admitted to hospital with SARS-CoV-2 infection in Canada during the early COVID-19 pandemic period, incidental SARS-CoV-2 infection was common. In children admitted with acute COVID-19, obesity and neurologic and respiratory comorbidities were associated with more severe disease.

As of Dec. 31, 2020, Canada had 581 427 confirmed cases of SARS-CoV-2 infection.¹ Similar to other countries, most confirmed infections were in adults, in part because of initial testing policies that targeted older and at-risk populations, as well as prolonged societal containment measures to minimize children’s risk of exposure. Although fewer SARS-CoV-2 infections in children were reported relative to adults during Canada’s first waves of the pandemic,² recent surges in pediatric cases across North America have challenged the notion that children are infected at a lower frequency than adults.^3,4 However, the severity of infection in children appears to be substantially lower, with fewer overall hospital admissions reported and substantially lower mortality compared with adults.^5,6Although risk factors for more severe outcomes of COVID-19 have been well described in adults,⁷ similar risks are less well described in children.⁸ Experience with other viral respiratory infections, including influenza and respiratory syncytial virus, has shown that patient-level factors can increase risk for severe disease in children.^9,10 Understanding populations at risk for severe disease is essential for developing evidence-informed testing strategies, recommendations around reducing exposure (including guidance informing in-person schooling) and potential prioritization of SARS-CoV-2 vaccines in children.To date, few published data have characterized admissions to hospital with SARS-CoV-2 infection among children in Canada. We sought to describe pediatric hospital admissions associated with acute SARS-CoV-2 infection in Canada and identify risk factors for severe disease among children admitted to hospital.     

The ecological impact of city lighting scenarios: exploring gap crossing thresholds for urban bats

As the global population urbanizes, dramatic changes are expected in city lighting and the urban form, which may threaten the functioning of urban ecosystems and the services they deliver. However, little is known about the ecological impact of lighting in different urban contexts. Movement is an important ecological process that can be disrupted by artificial lighting. We explored the impact of lighting on gap crossing for Pipistrellus pipistrellus, a species of bat (Chiroptera) common within UK cities. We aimed to determine whether the probability of crossing gaps in tree cover varied with crossing distance and lighting level, through stratified field surveys. We then used the resulting data on barrier thresholds to model the landscape resistance due to lighting across an entire city and explored the potential impact of scenarios for future changes to street lighting. The level of illumination required to create a barrier effect reduced as crossing distance increased. For those gaps where crossing was recorded, bats selected the darker parts of gaps. Heavily built parts of the case study city were associated with large and brightly lit gaps, and spatial models indicate movement would be highly restricted in these areas. Under a scenario for brighter street lighting, the area of accessible land cover was further reduced in heavily built parts of the city. We believe that this is the first study to demonstrate how lighting may create resistance to species movement throughout an entire city. That connectivity in urban areas is being disrupted for a relatively common species raises questions about the impacts on less tolerant groups and the resilience of bat communities in urban centres. However, this mechanistic approach raises the possibility that some ecological function could be restored in these areas through the strategic dimming of lighting and narrowing of gaps.     

Visualization of gap junction mobility in living cells

In order to study the dynamics of gap junctions in living cells, a cDNA was expressed in hepatocellular carcinoma-derived PLC cells coding for chimerical polypeptide Cx.EGFP-1, which consists of rat connexin32 and enhanced green fluorescent protein (EGFP). Cx.EGFP-1 was integrated into gap junctions, and the emitted epifluorescence reliably reported the distribution of the chimera. Therefore, stably transfected PLC clone PCx-9 was used to examine the dynamic behavior of gap junctions by time-lapse fluorescence microscopy. The pleomorphic fluorescent junctional plaques were highly motile within the plasma membrane. They often fused with each other or segregated into smaller patches, and fluctuation of fluorescence was detected within individual gap junctions. Furthermore, the uptake of junctional fragments into the cytoplasm of live cells was documented as originating from dynamic invaginations that form long tubulovesicular structures that pinch off. Endocytosis and subsequent lysosomal degradation, however, appeared to contribute only a little to the rapid gap junction turnover (determined half-life of 3.3 h for Cx.EGFP-1), since most cytoplasmic Cx.EGFP-1 fluorescence did not colocalize with the endocytosed fluid phase marker horseradish peroxidase or the receptor-specific endocytotic ligand transferrin and since it was distinct from lysosomes. Disassembly of gap junctions was monitored in the presence of the translation-inhibitor cycloheximide and showed increased endocytosis and continuous reduction of junctional plaques. Highly motile cytoplasmic microvesicles, which were detectable as multiple, weakly fluorescent puncta in all movies, are proposed to contribute significantly to gap junction morphogenesis by the transport of small subunits between biosynthetic, degradative, and recycling compartments.     

Serial cross-sectional estimation of vaccine-and infection-induced SARS-CoV-2 seroprevalence in British Columbia,Canada

Background:The evolving proportion of the population considered immunologically naive versus primed for more efficient immune memory response to SARS-CoV-2 has implications for risk assessment. We sought to chronicle vaccine- and infection-induced seroprevalence across the first 7 waves of the COVID-19 pandemic in British Columbia, Canada.Methods:During 8 cross-sectional serosurveys conducted between March 2020 and August 2022, we obtained anonymized residual sera from children and adults who attended an outpatient laboratory network in the Lower Mainland (Greater Vancouver and Fraser Valley). We used at least 3 immunoassays per serosurvey to detect SARS-CoV-2 spike and nucleocapsid antibodies. We assessed any seroprevalence (vaccineor infection-induced, or both), defined by positivity on any 2 assays, and infection-induced seroprevalence, also defined by dual-assay positivity but requiring both antinucleocapsid and antispike detection. We used estimates of infection-induced seroprevalence to explore underascertainment of infections by surveillance case reports.Results:By January 2021, we estimated that any seroprevalence remained less than 5%, increasing with vaccine rollout to 56% by May–June 2021, 83% by September–October 2021 and 95% by March 2022. Infection-induced seroprevalence remained less than 15% through September–October 2021, increasing across Omicron waves to 42% by March 2022 and 61% by July–August 2022. By August 2022, 70%–80% of children younger than 20 years and 60%–70% of adults aged 20–59 years had been infected, but fewer than half of adults aged 60 years and older had been infected. Compared with estimates of infection-induced seroprevalence, surveillance case reports underestimated infections 12-fold between September 2021 and March 2022 and 92-fold between March 2022 and August 2022.Interpretation:By August 2022, most children and adults younger than 60 years had evidence of both SARS-CoV-2 vaccination and infection. As previous evidence suggests that a history of both exposures may induce stronger, more durable hybrid immunity than either exposure alone, older adults — who have the lowest infection rates but highest risk of severe outcomes — continue to warrant prioritized vaccination.

The British Columbia Centre for Disease Control (BCCDC) has a long-established serosurvey protocol to monitor population susceptibility to emerging or re-emerging respiratory viruses. The approach was first deployed during the influenza A (H1N1) pandemic in 2009 to monitor changes in seroprevalence across successive pandemic waves and the mass vaccination campaign.^1–7 The methodology is predicated upon serial cross-sectional convenience sampling of anonymized residual sera from children and adults of all ages in the most populated Lower Mainland region of BC.^8,9Adapting this protocol, the BCCDC launched its first SARS-CoV-2 serosurvey in March 2020, just before the World Health Organization’s declaration of the COVID-19 pandemic. ¹⁰ Baseline assessment was followed by additional serosurveys that spanned the time from mRNA vaccine availability in mid-December 2020, through 7 pandemic waves associated with multiple variants of concern to August 2022 (Figure 1).^11–13 Using these serosurveys, we sought to track the evolving proportion of the population that remained immunologically naive and, thus, fully susceptible to COVID-19, versus the evolving proportion that was immunologically primed (through vaccination or infection) and, thus, poised for more efficient memory response in mitigating the risk of SARS-CoV-2. Recognizing the spectrum of illness, including asymptomatic or mild infections, and variable diagnostic access, case identification and reporting, we also used estimates of infection-induced seroprevalence to explore the potential underascertainment of infections by surveillance case reports.Open in a separate windowFigure 1:Provincial surveillance case reports to the British Columbia Centre for Disease Control (BCCDC) by epidemiological week from January 2020 to September 2022, with timing of serosurveys and select public health measures, in BC, Canada. We group case tallies by epidemiological week (7-d period) as per standard surveillance methods for comparing data by period from year to year. Epidemic waves are enumerated sequentially and are displayed with the predominant variant of concern (VOC). Publicly funded access to nucleic acid amplification tests (NAATs) or rapid antigen tests (RATs) is displayed below the X-axis. For details on public health measures, vaccines, schedules and coverage estimates, see Appendix 1, Supplementary Material 1, available at www.cmaj.ca/lookup/doi/10.1503/cmaj.221335/tab-related-content. *Nonessential travel discouraged, health care service delivery adjusted, public gatherings > 50 people prohibited. Provincial state of emergency declared. †Interactions limited to households or “core bubble” (immediate family or those in same dwelling) or to a maximum of 2 other people if living alone. ‡Dine-in food services and indoor fitness activities banned, only essential travel permitted. §Gradual return to gatherings, recreational travel, in-person work, which was interrupted by the fourth wave. ¶Indoor and personal gatherings limited, 50% capacity limit at venues of > 1000 people, sports tournaments paused. Social restrictions lifted during epidemiological week 7, 2022. **Mask mandates lifted during epidemiological week 10, 2022. ††The first 2 spike-based mRNA vaccine formulations were authorized during epidemiological weeks 50 and 52, 2020, respectively, with mRNA vaccines comprising most doses (> 90%) administered in BC and Canada across the pandemic. In epidemiological week 8, 2021, a chimpanzee adenoviral-vectored (ChAdOx1) vaccine was also authorized. ‡‡Vaccines (mRNA) initially deployed to high-risk individuals, including residents and staff of long-term care and assisted-living facilities, essential visitors within those settings and health care workers. §§Community-based vaccine roll-out, prioritized by age, beginning with the oldest adults in mid-March 2021. Access to booster doses followed similar prioritization sequence, inclusive of clinically extremely vulnerable individuals of any age. ¶¶Single-dose vaccine card required for entry into social and recreational settings starting in epidemiological week 37, 2021; 2-dose cards were required beginning in epidemiological week 43, 2021. Vaccine cards were ultimately repealed in epidemiological week 14, 2022.     

SARS-CoV-2 seroprevalence in health care workers from 10 hospitals in Quebec,Canada: a cross-sectional study

Background:The COVID-19 pandemic has disproportionately affected health care workers. We sought to estimate SARS-CoV-2 seroprevalence among hospital health care workers in Quebec, Canada, after the first wave of the pandemic and to explore factors associated with SARS-CoV-2 seropositivity.Methods:Between July 6 and Sept. 24, 2020, we enrolled health care workers from 10 hospitals, including 8 from a region with a high incidence of COVID-19 (the Montréal area) and 2 from low-incidence regions of Quebec. Eligible health care workers were physicians, nurses, orderlies and cleaning staff working in 4 types of care units (emergency department, intensive care unit, COVID-19 inpatient unit and non-COVID-19 inpatient unit). Participants completed a questionnaire and underwent SARS-CoV-2 serology testing. We identified factors independently associated with higher seroprevalence.Results:Among 2056 enrolled health care workers, 241 (11.7%) had positive SARS-CoV-2 serology. Of these, 171 (71.0%) had been previously diagnosed with COVID-19. Seroprevalence varied among hospitals, from 2.4% to 3.7% in low-incidence regions to 17.9% to 32.0% in hospitals with outbreaks involving 5 or more health care workers. Higher seroprevalence was associated with working in a hospital where outbreaks occurred (adjusted prevalence ratio 4.16, 95% confidence interval [CI] 2.63–6.57), being a nurse or nursing assistant (adjusted prevalence ratio 1.34, 95% CI 1.03–1.74) or an orderly (adjusted prevalence ratio 1.49, 95% CI 1.12–1.97), and Black or Hispanic ethnicity (adjusted prevalence ratio 1.41, 95% CI 1.13–1.76). Lower seroprevalence was associated with working in the intensive care unit (adjusted prevalence ratio 0.47, 95% CI 0.30–0.71) or the emergency department (adjusted prevalence ratio 0.61, 95% CI 0.39–0.98).Interpretation:Health care workers in Quebec hospitals were at high risk of SARS-CoV-2 infection, particularly in outbreak settings. More work is needed to better understand SARS-CoV-2 transmission dynamics in health care settings.

The COVID-19 pandemic has disproportionately affected health care workers. In France, Spain, Italy, Germany and the United States, at least 10% of cases reported in spring 2020 were in health care workers.¹ In Quebec, 25% (14 177 of 56 565) of all cases declared during the first wave of the pandemic, from March to July 2020, were in health care workers,² about one-third of whom were working in acute care hospitals.¹ The Montréal area was the most affected region in Quebec and Canada during the first wave, reaching a COVID-19 incidence rate of 1336 per 100 000 population.²The number of COVID-19 cases reported among health care workers underestimated the number of those infected with SARS-CoV-2 during that period, given limited testing leading to undiagnosed asymptomatic or paucisymptomatic infections.³ Seroprevalence studies are an important tool to determine the proportion of people infected with SARS-CoV-2, both in the general population and among health care workers.⁴ After the first wave in Quebec, SARS-CoV-2 seroprevalence in adults aged 18–69 years was found to be low (3.1% in Montréal and 1.3% in less affected regions), but this proportion could be much higher among health care workers who had to work despite the general shutdown of social and economic activities, especially if they were exposed to major outbreaks.⁵Only 2 other Canadian studies provide SARS-CoV-2 seroprevalence estimates among health care workers, and both studies were from a single centre.^6,7 Outside Canada, most seroprevalence studies among health care workers include a single site and do not provide a representative estimate for a defined region.⁸ Several studies have reported a higher seroprevalence among health care workers from units treating patients with COVID-19 (COVID-19 units) compared with other units (non–COVID-19 units), emergency departments or intensive care units.^9,10 Other studies have not identified such associations.^11,12 In this study, we aimed to assess the seroprevalence of SARS-CoV-2 antibody among hospital health care workers from a variety of settings after the first pandemic wave in Quebec, and to explore factors associated with SARS-CoV-2 seropositivity.     

Comparative analysis reveals the species-specific genetic determinants of ACE2 required for SARS-CoV-2 entry

Coronavirus interaction with its viral receptor is a primary genetic determinant of host range and tissue tropism. SARS-CoV-2 utilizes ACE2 as the receptor to enter host cell in a species-specific manner. We and others have previously shown that ACE2 orthologs from New World monkey, koala and mouse cannot interact with SARS-CoV-2 to mediate viral entry, and this defect can be restored by humanization of the restrictive residues in New World monkey ACE2. To better understand the genetic determinants behind the ability of ACE2 orthologs to support viral entry, we compared koala and mouse ACE2 sequences with that of human and identified the key residues in koala and mouse ACE2 that restrict viral receptor activity. Humanization of these critical residues rendered both koala and mouse ACE2 capable of binding the spike protein and facilitating viral entry. Our study shed more lights into the genetic determinants of ACE2 as the functional receptor of SARS-CoV-2, which facilitates our understanding of viral entry.     

Individual and social determinants of SARS-CoV-2 testing and positivity in Ontario,Canada: a population-wide study

BACKGROUND:Optimizing the public health response to reduce the burden of COVID-19 necessitates characterizing population-level heterogeneity of risks for the disease. However, heterogeneity in SARS-CoV-2 testing may introduce biased estimates depending on analytic design. We aimed to explore the potential for collider bias in a large study of disease determinants, and evaluate individual, environmental and social determinants associated with SARS-CoV-2 testing and diagnosis among residents of Ontario, Canada.METHODS:We explored the potential for collider bias and characterized individual, environmental and social determinants of being tested and testing positive for SARS-CoV-2 infection using cross-sectional analyses among 14.7 million community-dwelling people in Ontario, Canada. Among those with a diagnosis, we used separate analytic designs to compare predictors of people testing positive versus negative; symptomatic people testing positive versus testing negative; and people testing positive versus people not testing positive (i.e., testing negative or not being tested). Our analyses included tests conducted between Mar. 1 and June 20, 2020.RESULTS:Of 14 695 579 people, we found that 758 691 were tested for SARS-CoV-2, of whom 25 030 (3.3%) had a positive test result. The further the odds of testing from the null, the more variability we generally observed in the odds of diagnosis across analytic design, particularly among individual factors. We found that there was less variability in testing by social determinants across analytic designs. Residing in areas with the highest household density (adjusted odds ratio [OR] 1.86, 95% confidence interval [CI] 1.75–1.98), highest proportion of essential workers (adjusted OR 1.58, 95% CI 1.48–1.69), lowest educational attainment (adjusted OR 1.33, 95% CI 1.26–1.41) and highest proportion of recent immigrants (adjusted OR 1.10, 95% CI 1.05–1.15) were consistently related to increased odds of SARS-CoV-2 diagnosis regardless of analytic design.INTERPRETATION:Where testing is limited, our results suggest that risk factors may be better estimated using population comparators rather than test-negative comparators. Optimizing COVID-19 responses necessitates investment in and sufficient coverage of structural interventions tailored to heterogeneity in social determinants of risk, including household crowding, occupation and structural racism.

The spread of SARS-CoV-2, the virus causing COVID-19, has resulted in a pandemic with heterogeneity in exposure and risk of transmission.^1–4Heterogeneity in social determinants of COVID-19 may exist at the individual and community (e.g., by housing density^5–7) levels. In addition, social determinants of health, including barriers to health care, occupation, structural racism and xenophobia, have been implicated in COVID-19 risk.^8,9 Environmental determinants such as ambient air pollution may also play a role, as evidence indicates that higher ambient air pollution increases risk for infection with other respiratory viruses^10,11 and the development of severe COVID-19.^12,13 Environmental factors are linked with structural racism (e.g., in the context of low-quality housing).^12,14Using observational data to identify risk factors for COVID-19 relies on SARS-CoV-2 testing, a service that is not equally distributed.¹⁵ Differential testing introduces the potential for selection biases,^16,17 including collider bias.¹⁷ Collider bias may be introduced into epidemiologic studies of COVID-19 risk factors if the factors under investigation are related both to developing an infection and to the likelihood of being tested.^17–19 For example, data suggest that people with diabetes are more likely to develop severe COVID-19 if infected with SARS-CoV-2.^20,21 Thus, if infected, people with diabetes may be more likely to be tested, and consequently, diabetes may appear to be associated with a diagnosis of COVID-19 in studies of those tested for SARS-CoV-2, even if diabetes is not a risk factor for infection.¹⁷ The opposite may occur with underlying respiratory diseases (e.g., asthma) that have symptoms similar to those caused by SARS-CoV-2, leading to the appearance of potentially “protective” associations with COVID-19.²²Our objectives were to explore the potential for collider bias in a large study of COVID-19 determinants and examine individual, environmental and social determinants associated with testing and diagnosis among 14.7 million people in Ontario, Canada.¹⁷     

The SARS-CoV-2 RNA interactome

1. Download : Download high-res image (266KB)
2. Download : Download full-size image

     

mRNA Vaccines: Possible Tools to Combat SARS-CoV-2

正Coronaviruses are large, enveloped, positive-strand RNA viruses. Several coronaviruses are pathogenic in humans,including severe acute respiratory syndrome coronavirus(SARS-CoV), Middle East respiratory syndrome coronavirus(MERS-CoV) and this novel virus, SARS-CoV-2,     

The challenge of emerging SARS-CoV-2 mutants to vaccine development

正Since the outbreak of the pandemic, waves of epidemics caused by severe acute respiratory syndrome coronavirus 2 (SARS-Co V-2) variants that harbor novel mutations have never paused. Globally, it undergoes rapid mutations that involve single-nucleotide polymorphism(SNP) dominantly, whereas ORF1ab and spike genes contain the most of more than 20,000 mutation sites reported within a year (Fang et al.,2021). Mutations inside spike protein are highly concerned for their potential impact on viral transmissibility and immune evasion, as spike protein is responsible for the interaction with the viral receptor angiotensin-converting enzyme 2 (ACE2) to mediate viral entry to the target cells. D614G identified in early 2020 is a globally dominant mutation (Korber et al., 2020). In late 2020, several variants were reported, which had caused continental and eventually worldwide epidemics. These notable variants include B.1.1.7 lineage (501Y.V1,Variant of Concern [VOC] 202012/01), 501Y.V2 variant (known as B.1.351 lineage), and P.1 lineage (also named 501Y.V3). In comparison with the D614G and D614 lineages identified in early 2020, they contain a large number of mutations within spike protein (Fig. 1).     

Evaluation of the relative virulence of novel SARS-CoV-2 variants: a retrospective cohort study in Ontario,Canada

Background:Between February and June 2021, the initial wild-type strains of SARS-CoV-2 were supplanted in Ontario, Canada, by new variants of concern (VOCs), first those with the N501Y mutation (i.e., Alpha/B1.1.17, Beta/B.1.351 and Gamma/P.1 variants) and then the Delta/B.1.617 variant. The increased transmissibility of these VOCs has been documented, but knowledge about their virulence is limited. We used Ontario’s COVID-19 case data to evaluate the virulence of these VOCs compared with non-VOC SARS-CoV-2 strains, as measured by risk of hospitalization, intensive care unit (ICU) admission and death.Methods:We created a retrospective cohort of people in Ontario who tested positive for SARS-CoV-2 and were screened for VOCs, with dates of test report between Feb. 7 and June 27, 2021. We constructed mixed-effect logistic regression models with hospitalization, ICU admission and death as outcome variables. We adjusted models for age, sex, time, vaccination status, comorbidities and pregnancy status. We included health units as random intercepts.Results:Our cohort included 212 326 people. Compared with non-VOC SARS-CoV-2 strains, the adjusted elevation in risk associated with N501Y-positive variants was 52% (95% confidence interval [CI] 42%–63%) for hospitalization, 89% (95% CI 67%–117%) for ICU admission and 51% (95% CI 30%–78%) for death. Increased risk with the Delta variant was more pronounced at 108% (95% CI 78%–140%) for hospitalization, 235% (95% CI 160%–331%) for ICU admission and 133% (95% CI 54%–231%) for death.Interpretation:The increasing virulence of SARS-CoV-2 VOCs will lead to a considerably larger, and more deadly, pandemic than would have occurred in the absence of the emergence of VOCs.

Novel SARS-CoV-2 variants of concern (VOCs), including viral lineages carrying the N501Y (Alpha/B.1.1.7) or both the N501Y and E484K mutations (Beta/B.1.351 and Gamma/P.1), were first identified in Ontario, Canada, in December 2020.¹ Although initially uncommon in Ontario, these VOCs outcompeted earlier SARS-CoV-2 lineages and, as of late April 2021, were responsible for almost all new infections in Ontario, with Alpha the most prevalent lineage.¹ In April 2021, the B.1.617.2 variant, now known as Delta under the revised nomenclature from the World Health Organization, emerged in the province, outcompeted earlier VOCs and, by July 2021, represented most infections in the province.^2,3This serial replacement by emerging variants reflects progressively higher effective reproduction numbers that allow novel variants to outcompete previously dominant strains in the face of identical measures to control spread of infection.^4–6 However, VOCs are also concerning because emerging evidence points to increased virulence, with increased risk of hospitalization, intensive care unit (ICU) admission and death, after adjustment for age and other predictive factors among patients with VOC infections.^7–10 Although the increased virulence of strains with the N501Y mutation relative to strains that lack this mutation has been described,^7–9 only limited information is available on the virulence of infection with the Delta variant, relative to earlier N501Y-positive VOCs (i.e., Alpha, Beta and Gamma).^10–12 Our objectives were to evaluate the virulence of N501Y-positive variants relative to earlier SARS-CoV-2 lineages and to evaluate the virulence of the Delta variant of SARS-CoV-2 relative to N501Y-positive VOCs using Ontario’s COVID-19 case data.