COVID-19 Infection Rates Research Articles

Risk of long COVID in migrants and the contribution of vaccinations, disease severity, social inequalities and preexisting health: A nationwide register study in Sweden

Abstract Background and aim A number of studies have found higher COVID-19 infection rates, hospitalizations and deaths in migrants and ethnic minorities throughout the Corona Pandemic. Some recent evidence also suggests higher risk of long COVID in migrants although less is known about the risk factors for long COVID in this population. The objective of our study is to examine the risk of long COVID in migrants and to examine whether preexisting health conditions, disease severity, social inequalities and vaccinations contribute to the association. Methods We used linked Swedish administrative registers to estimate the risk of a long COVID diagnosis in the population that had a confirmed COVID-19 infection. Poisson regressions were used to calculate incidence rate ratios between the Swedish born and migrant groups. Adjustments for preexisting health conditions, disease severity, vaccinations and social inequalities were separately introduced. Results Higher risks of long COVID were found among migrants from Africa, Asia, Eastern Europe, Finland, Middle-East and South America. While the contribution of vaccinations and social inequalities were modest, we found that disease severity (i.e. whether the person was hospitalized or treated in an intensive care unit) primarily contributed to the higher risk of long COVID found in migrants. Conclusions The greater exposure and impact of the COVID-19 virus among migrants during the pandemic also affected the longer-term consequences of infection in this at-risk population.

A Global Meta-Analysis of the Effects of Greenspaces on COVID-19 Infection and Mortality Rates.

The COVID-19 outbreak in 2020 resulted in rapidly rising infection rates with high associated mortality rates. In response, several epidemiological studies aimed to define ways in which the spread and severity of COVID-19 can be curbed. As a result, there is a steady increase in the evidence linking greenspaces and COVID-19 impact. However, the evidence of the benefits of greenspaces or greenness to human wellbeing in the context of COVID-19 is fragmented and sometimes contradictory. This calls for a meta-analysis of existing studies to clarify the matter. Here, we identified 621 studies across the world on the matter, which were then filtered down to 13 relevant studies for meta-analysis, covering Africa, Asia, Europe, and the USA. These studies were meta-analyzed, with the impacts of greenness on COVID-19 infection rate quantified using regression estimates whereas impacts on mortality rates were measured using mortality rate ratios. We found evidence of significant negative correlations between greenness and both COVID-19 infection and mortality rates. We further found that the impacts on COVID-19 infection and related mortality are moderated by year of publication, greenness metrics, sample size, health and political covariates. This clarification has far-reaching implications for policy development toward the establishment and management of green infrastructure for the benefit of human wellbeing.

Coronavirus disease 2019 vaccination effectiveness based on the 2021 Japanese dialysis registry.

The effectiveness of the coronavirus disease (COVID-19) vaccine in Japanese patients undergoing haemodialysis has previously not been evaluated on a large scale. We analyzed data from the Japanese Society for Dialysis Therapy Renal Data Registry (JRDR), covering nearly all Japanese patients undergoing dialysis (~95% coverage), to examine the association between COVID-19 vaccination and infection or mortality. We used data from the JRDR end-of-year surveys conducted in 2020 and 2021, including information on the COVID-19 vaccination and infection months. COVID-19 infection incidence and its associated mortality rates based on vaccination status (time updated) and odds ratio (OR) (vaccinated vs. unvaccinated) were estimated monthly from April 2021, when vaccination commenced in Japan. COVID-19 infection analysis included 228 865 patients (215 941 vaccinated and 12 924 unvaccinated patients at the end of 2021). The age- and sex-adjusted ORs (aORs) were significantly lower in August, September, October and November 2021, especially in September (aOR [95% confidence interval (CI)]: 0.25 [0.18-0.36]). Additional adjustments for past medical history and laboratory results rarely affected these results. Similarly, in the COVID-19-related mortality analysis with 228 731 patients, including 216 781 vaccinated and 11 950 unvaccinated at the end of 2021, COVID-19-related mortality risk was significantly lower in the vaccinated group in August, September, October and November (aOR [95% CI]: August, 0.32 [0.12-0.84], September, 0.04 [0.01-0.11]; October, 0.10 [0.01-0.81]; November, 0.05 [0.00-0.79]). In Japanese patients undergoing haemodialysis, the first or second COVID-19 vaccine dose was significantly associated with decreased COVID-19 infection and mortality rates, suggesting its effectiveness in this population.

'Is It Safe? Is it not?' A Youth-Led Photovoice Study of Youth Perspectives of COVID-19 Vaccine Confidence.

Youth have been uniquely affected by the COVID-19 pandemic. Despite high rates of COVID-19 infection, youth had one of the lowest vaccine uptake rates. Certain characteristics can affect vaccine uptake, such as mental health and substance use, but it is important to understand uptake for an effective response to pandemics. This study examined the perspectives of youth with mental health or substance use concerns on COVID-19 vaccine confidence, hesitancy and overall COVID-19 vaccine perspectives. Using photovoice, a community-based participatory research method, a sample of 27 youth aged 14-24 years participated in a series of photography workshops and focus groups. Participants submitted final photographs for discussion. Focus groups were recorded, transcribed and thematically analysed. Four themes were generated: (1) Youth deciphered the vaccine discourse in a changing information landscape; (2) mixed perspectives of families, friends and loved ones influenced the vaccine journey; (3) complex societal influences affected views and decisions around the COVID-19 vaccine; and (4) youth navigated their vaccine journeys through first- and second-hand experiences. The four themes and subthemes highlight the evolution of youth's journeys with the COVID-19 vaccine over the course of the pandemic and into the late-pandemic period. Youth with mental health or substance use challenges navigated a complex environment during the COVID-19 pandemic. The wide variety of factors influencing vaccine perspectives should be taken into account in public health messaging and future research on youth vaccine uptake. Youth-led and youth-engaged research can help solicit rich and meaningful perspectives of young people on important public health issues. This was a youth-led study. A youth research analyst conducted the study activities together with the support of a youth advisory group, an adult photographer with lived experience, and a scientific team.

Decline in and recovery of fertility rates after COVID-19-related state of emergency in Japan

IntroductionThe COVID-19 pandemic led to a decline in fertility rates worldwide. Although many regions have experienced a temporary drop in fertility rates with the spread of the infection, subsequent recovery...

The Painful Double-Knock on Food Prices: 2008 Financial Crises and COVID-19 Pandemic

Food supply and demand chains are susceptible to global shocks. Unstable and sudden food price hikes cause serious malnutrition problems and increase the number of food-insecure people, especially in developing countries. Using the FAO Food Price Index (FFPI), this study makes one of the first attempts to utilize monthly observations of the FFPI in dynamic time series ARDL and ARX settings to identify the effects of food prices on COVID-19 infection rates and the 2008 global financial crisis. Our empirical findings confirm that the financial crisis significantly increased the FFPI, although its effects decreased as markets equilibrated between 2007 and 2009. The pandemic has had a mild impact on food prices in the short run compared to the 2008 crisis, but in the long run, the COVID-19 outbreak has a larger impact, with 1 million new COVID-19 infections associated with an increase of between 0.0464 and 0.0509 points in the FFPI. Food price volatility and hikes, even if short-term, increase poverty, malnutrition, and food insecurity, foster social unrest, and lower people’s living standards. This research implies that food prices are globally sensitive to both pandemics and financial crises, and the severity of the pandemic can drive global food prices higher, depending on the number of infections. Over the long run, the impact of the outbreak surpasses that of the financial crisis. The latter tends to have a major impact on food prices in the short run but subsequently declines as markets begin to equilibrate, reflecting asymmetries between the two phenomena in their effects on food prices. Overall, the results indicate that the financial crisis and the COVID-19 pandemic had a short-run, immediate, augmenting impact on food prices. However, while the 2008 crisis affected the supply side only, COVID-19 had impacts on both the demand and supply sides.

Assessing access: Texting hotline app provides mental health crisis care for economically deprived youth

BackgroundDue to rapidly increasing youth suicides in the U.S state of Utah, the legislature funded creation of a 24/7 texting-based smartphone app in Spanish and English targeting Utah's school aged population. Recent research elsewhere (in the Netherlands) suggests cost inhibits help seeking among the economically disadvantaged. We evaluate the relationship between poverty and app usage during the onset of the COVID-19. MethodLocal demographics, social determinants of health and COVID-19 infection rates were modeled using a Bayesian spatio-temporal approach examining usage rates. ResultsWhen controlling for generally researched suicide crisis covariates, app usage is shown to vary depending on economic status of the population, with the largest relative increases in use among disadvantaged youth. DiscussionThis bilingual Spanish/English, texting (SMS) based, smart phone app crisis hotline proved effective at providing adolescents from certain populations access to mental health care. The groups discussed are in Census Block Groups (CBGs – neighborhoods) with higher poverty, and/or lower population density (rural areas). The usage of the crisis hotline by these populations increased relative to the overall population as the COVID-19 pandemic unfolded. However, adolescents from areas of higher mobility (our proxy for housing insecure) and those in areas with larger non-White populations had a relative decrease in usage.

Factors That Impact Effective Public Health Communication With Michigan’s Latinx Population in the Context of COVID-19

The far-reaching impact of the COVID-19 pandemic on Latinx communities is well-documented. This population has higher rates of COVID-19 infection and death compared with non-Latinx White Americans mainly due to long-standing problems related to Social Determinants of Health. Communication about issues such as health threats and safety measures are a vital part of public health, and need to be appropriate to the population of focus. To understand the effectiveness of public health communication to Latinx communities in Michigan during the COVID-19 pandemic, semi-structured interviews ( n = 16) and three focus groups ( n = 24 participants) were conducted virtually in 2021 across counties in Michigan deeply impacted by COVID-19: Washtenaw, Kent, Genesee, and Wayne. Participants shared some facilitating factors that supported effective health communication during the pandemic for their communities. For instance, in their experiences, religious and community leaders were especially effective in communicating information about the pandemic. They also expressed issues with English often being the only language of official communication; the need for bilingual options; and, the need for multiple channels of communication to reach as many people as possible. Participants also highlighted their concerns about inconsistent government communication and politicizing messages as a hindering factor that impacted effective health communication within their communities. Lessons from successes and failures experienced during the COVID-19 pandemic are vital to improving health outcomes for marginalized communities during public health crises. Future responses must ensure that public health communication is appropriate and effective for Latinx communities to better protect them.

Validation of Saliva as the Clinical Specimen Type for a University-Wide COVID-19 Surveillance Program.

At the beginning of the COVID-19 pandemic, the Georgia Institute of Technology made the decision to keep the university doors open for on-campus attendance. To manage COVID-19 infection rates, internal resources were applied to develop and implement a mass asymptomatic surveillance program. The objective was to identify infections early for proper follow-on verification testing, contact tracing, and quarantine/isolation as needed. Program success depended on frequent and voluntary sample collection from over 40,000 students, faculty, and staff personnel. At that time, the nasopharyngeal (NP) swab, not saliva, was the main accepted sample type for COVID-19 testing. However, due to collection discomfort and the inability to be self-collected, the NP swab was not feasible for voluntary and frequent self-collection. Therefore, saliva was selected as the clinical sample type and validated. A saliva collection kit and a sample processing and analysis workflow were developed. The results of a clinical sample-type comparison study between co-collected and matched NP swabs and saliva samples showed 96.7% positive agreement and 100% negative agreement. During the Fall 2020 and Spring 2021 semesters, 319,988 samples were collected and tested. The program resulted in maintaining a low overall mean positivity rate of 0.78% and 0.54% for the Fall 2020 and Spring 2021 semesters, respectively. For this high-throughput asymptomatic COVID-19 screening application, saliva was an exceptionally good sample type.

White privilege, ethnic disadvantage, and stigmatized linguistic capital: COVID-19 infection rates and lockdown law enforcement in Hong Kong

The COVID-19 pandemic has exposed and exacerbated existing disparities in various societies. This study investigates disparities among racial, ethnic, and linguistic groups in Hong Kong's society in COVID-19 infection rates and lockdown enforcement practices that was imposed 545 times from January 2021 to September 2022 and affected 9% of the population. It is found that neighborhoods with more white individuals had lower infection rates than the overall population, while those with more ethnically minoritized groups had higher infection rates. Furthermore, hit rate tests reveal that the government targeted more neighborhoods with a higher share of individuals from linguistically minoritized groups. This novel finding suggests that not only race, but linguistic difference of the same ethnicity can cause bias. The study highlights the positive impact of providing ethnic support services on health outcomes in neighborhoods with a higher share of individuals from ethnically minoritized groups.

COVID-19 Policy Decisions in Manitoba and the Experiences of the Red River Métis: A partnership-based, whole-population linked administrative data study

Systematically marginalized populations, like Red River Métis, have been greatly affected by COVID-19. Manitoba’s Indigenous COVID-19 vaccine policy initially delayed prioritization of Métis. Our research team, which included Métis partners, examined the consequences of these decisions (COVID-19 infections, health service use, vaccine uptake) among Métis, and how earlier prioritization could have improved outcomes. This retrospective cohort study linked data from the Métis Population Database to whole-population COVID testing and vaccination data, and administrative data on health service use. Restricted mean survival time models tested whether vaccination uptake differed between Métis and all other Manitobans (AOM), adjusting for sociodemographic characteristics and comorbidities. A Bayesian model will simulate how prioritization of Métis for vaccination two weeks earlier could have impacted infections. Cumulative prevalence of COVID-19 infection rates were similar among Métis and AOM until May 2021 when rates became higher among Métis. Between May and December 2021, rates of first vaccination were lower among Metis than AOM, as were second vaccination rates between July and November 2021. Métis were more likely than AOM to be hospitalized due to Covid-19 between March and August 2021 and visit physicians for COVID related reasons from October 2020 to Feb 2021 and November 2021 to March 2022. Our analyses simulated what would have occurred had Métis been prioritized for vaccination two weeks before AOM, alongside other Indigenous peoples. Understanding the experiences of Métis relative to AOM is critical to identifying public health strategies which close gaps in vaccine uptake and infections.

Randomized trial of influence of vitamin D on the prevention and improvement of symptomatic COVID-19

We aimed to investigate the preventive effect of vitamin D2 on COVID-19 and the improvement of symptoms after COVID-19 infection. The study recruited 228 health care workers who tested negative PCR or antigen for COVID-19. Subjects were randomly allocated to vitamin D2 or non-intervention at a ratio 1:1. Subjects recorded PCR or antigen tests and the symptoms of COVID-19 twice a week during the follow-up visit. The concentration of serum 25-hydroxyvitamin D (25(OH)D), C-reaction protein (CRP), complement component C1q and inflammatory cytokines were measured. The rates of COVID-19 infection were 50.5% in the vitamin D2 group and 52.4% in the non-intervention group (P = 0.785). There was no difference in the COVID-19 symptoms between the two groups. The mean 25(OH)D level significantly increased from 14.1 to 31.1 ng/mL after administration (P < 0.001). The difference between the two groups was not significant for the concentrations of CRP, C1q and inflammatory cytokines on the thirtieth day of the trial. According to the second level of vitamin D, there was a 14.3% difference in positive infection rates between the vitamin D adequate (> 30 ng/mL) and deficient groups (< 20 ng/mL). Adequate vitamin D had a tendency to prevent COVID-19.Trial registration: ClinicalTrials.gov NCT05673980, dated: 12/2022.

Spatial nonstationarity and the role of environmental metal exposures on COVID-19 mortality in New Mexico

Worldwide, the COVID-19 pandemic has been influenced by a combination of environmental and sociodemographic drivers. To date, population studies have overwhelmingly focused on the impact of societal factors. In New Mexico, the rate of COVID-19 infection and mortality varied significantly among the state's geographically dispersed, and racially and ethnically diverse populations who are exposed to unique environmental contaminants related to resource extraction industries (e.g. fracking, mining, oil and gas exploration). By looking at local patterns of COVID-19 disease severity, we sought to uncover the spatially varying factors underlying the pandemic. We further explored the compounding role of potential long-term exposures to various environmental contaminants on COVID-19 mortality prior to widespread applications of vaccinations. To illustrate the spatial heterogeneity of these complex associations, we leveraged multiple modeling approaches to account for spatial non-stationarity in model terms. Multiscale geographically weighted regression (MGWR) results indicate that increased potential exposure to fugitive mine waste is significantly associated with COVID-19 mortality in areas of the state where socioeconomically disadvantaged populations were among the hardest hit in the early months of the pandemic. This relationship is paradoxically reversed in global models, which fail to account for spatial relationships between variables. This work contributes both to environmental health sciences and the growing body of literature exploring the implications of spatial nonstationarity in health research.

Exploring the Relationship Between Cannabis Use And COVID-19 Outcomes.

Background: Cannabis use is becoming increasingly prevalent worldwide, yet the full spectrum of its effects largely remain unknown. Although cannabis have immunomodulatory properties, there remains a significant gap in our understanding of the potential impact of marijuana use on COVID-19 outcomes. The purpose of this study is to evaluate the effect of chronic cannabis use on severe COVID-19. Materials and Methods: National Inpatient Sample Database was used to sample individuals admitted with the diagnosis of COVID-19. Patients were divided into two groups based on cannabis use. Baseline demographics and comorbidities were collected using ICD-10 codes. Patients with missing data or age under 18 were excluded. Propensity matching using R was performed to match cannabis users to non-cannabis users 1:1 on age, race, gender, and 17 other comorbidities. The primary outcome was severe COVID-19 infection, defined as a composite of acute respiratory failure, intubation, acute respiratory distress syndrome (ARDS), or severe sepsis with multiorgan failure. Results: Out of 322,214 patients included in the study, 2,603 were cannabis users. Cannabis users were younger and had higher prevalence of tobacco use. On initial analysis, cannabis users had significantly lower rates of severe COVID-19 infection, intubation, ARDS, acute respiratory failure, severe sepsis with multiorgan failure, mortality, and shorter length of hospital stay. After 1:1 matching, cannabis use was associated with lower rates of severe COVID-19 infection, intubation, ARDS, acute respiratory failure, severe sepsis with multiorgan failure, mortality, and shorter length of hospital stay. Conclusion: Cannabis users had better outcomes and mortality compared with non-users. The beneficial effect of cannabis use may be attributed to its immunomodulatory effects.

Estimating the Role of Uninsured in the Spread of COVID-19 via Geospatial Bayesian Models

In this article, we develop and use several geospatial models to estimate the effects of health insurance status and vaccination coverage in the spread of COVID-19. We focus on COVID-19 related mortality, infection, and fatality rates as health outcomes. Utilizing these existing methods an analysis is conducted at the national level using data for every county in the United States, then a case is formed with analyses where the counties are restricted to those within Texas and Mid USA, which includes Nebraska, Iowa, Missouri, and Kansas. The main goal of this study is to investigate how different factors, such as vaccination status, socioeconomic status including insurance, and geographic location, may have affected the geospatial spread of COVID-19 pandemic and related health outcomes. Results show that the percentage of the senior population, the vaccination rate and the uninsured percentage are the most important variables for predicting infection rates and the fatality rates, while the overall social vulnerability index has a huge impact on mortality rates and infection rates. Our analyses can shed light on the impact of health insurance status and inform policy makers regarding the importance of health insurance coverage.

Impact of COVID-19 pandemic on the care of people with epilepsy and predictors of epilepsy worsening: Aswan/upper Egypt hospital-based study

BackgroundDuring the Coronavirus disease pandemic “COVID-19”, epilepsy was one of many chronic neurological diseases in which treatment was neglected. This study aimed to evaluate the impact of the pandemic on people with epilepsy and identify potential predictors of seizure worsening through a face-to-face hospital survey. During the study period, 245 participants were recruited: 124 people with epilepsy (PwE) and 121 people without epilepsy (PwoE) age and sex-matched. Both groups were compared using sociodemographic COVID-19-related questionnaires and Hamilton Anxiety and Depression scales. PwE also completed epilepsy-specific questionnaires. Subsequently, we subdivided the PwE group into people with worsening epilepsy (WPwE) and those without (NWPwE).ResultsCompared with PwoE, PwE had significantly higher rates of COVID-19 infection (59.7% versus 41.3%, p = 0.004), and 69.4% of them (86/124) reported WPwE. WPwE had significantly higher rates of COVID-19 infection (75.6% versus. 23.7%, p < 0.0001), emergency room visits (69.8% versus 42.1%, p = 0.004), delayed neurology appointments (69.8% versus 42.1%, p = 0.004), and difficulties accessing medication (69.8% versus 47.4%, p = 0.02) and being less likely to be vaccinated (39.5% versus 68.4%, p = 0.003) than NWPwE. Depression and anxiety rates increased significantly during the pandemic compared with prior pandemics in both PwE and PwoE (p < 0.0001 for each). Moreover, the WPwE showed a significant increase in depression rates (33.7–60.5%, p < 0.0001) and higher mean anxiety scores compared to the NWPwE (p = 0.029). A multivariate binary logistic regression analysis showed that having a COVID-19 infection (AOR: 12.086, p < 0.0001), being laid off (AOR: 0.024, p = 0.001), or having more seizures before the pandemic (AOR: 3.366, p = 0.009) were all strong predictors of seizures getting worse.ConclusionsNearly 69% of PwE experienced pandemic-related seizures worsening, along with deterioration of mental health. Factors such as personal COVID-19 infection, unemployment, work interruption, and higher pre-COVID seizure frequency were identified as key predictors of seizure worsening. Mitigating these predictors could strengthen resilience among PwE during future widespread crises.Trial registration clinicaltrials.gov, NCT05205590. Registered on October 25, 2021—Retrospectively registered, https://classic.clinicaltrials.gov/ct2/show/NCT05205590

Rapid and extensive SARS-CoV-2 Omicron variant infection wave revealed by wastewater surveillance in Shenzhen following the lifting of a strict COVID-19 strategy

Wastewater-based epidemiology (WBE) has emerged as a promising tool for monitoring the spread of COVID-19, as SARS-CoV-2 can be shed in the faeces of infected individuals, even in the absence of symptoms. This study aimed to optimize a prediction model for estimating COVID-19 infection rates based on SARS-CoV-2 RNA concentrations in wastewater, and reveal the infection trends and variant diversification in Shenzhen, China following the lifting of a strict COVID-19 strategy. Faecal samples (n = 4337) from 1204 SARS-CoV-2 infected individuals hospitalized in a designated hospital were analysed to obtain Omicron variant-specific faecal shedding dynamics. Wastewater samples from 6 wastewater treatment plants (WWTPs) and 9 pump stations, covering 3.55 million people, were monitored for SARS-CoV-2 RNA concentrations and variant abundance. We found that the viral load in wastewater increased rapidly in December 2022 in the two districts, demonstrating a sharp peak in COVID-19 infections in late-December 2022, mainly caused by Omicron subvariants BA.5.2.48 and BF.7.14. The prediction model, based on the mass balance between total viral load in wastewater and individual faecal viral shedding, revealed a surge in the cumulative infection rate from <0.1 % to over 70 % within three weeks after the strict COVID-19 strategy was lifted. Additionally, 39 cryptic SARS-CoV-2 variants were identified in wastewater, in addition to those detected through clinical surveillance. These findings demonstrate the effectiveness of WBE in providing comprehensive and efficient assessments of COVID-19 infection rates and identifying cryptic variants, highlighting its potential for monitoring emerging pathogens with faecal shedding.

Impact of 5 waves of COVID-19 on pediatric ophthalmology

ObjectiveTo characterize the impact of multiple waves of COVID-19 on pediatric ophthalmology at a tertiary care hospital. MethodsMedical records were reviewed from pediatric patients seen for ophthalmic emergencies at the Montreal Children's Hospital (Montreal, Canada) from 5 COVID-19 periods: March 13 to May 31, 2020; September 20, 2020, to February 21, 2021; March 21 to May 31, 2021; August 17 to November 5, 2021; and December 19, 2021, to January 25, 2022, as well as 2 pre-COVID time periods: March 13 to May 31, in 2018 and 2019). ResultsThere was a significant reduction in ophthalmic consultations when comparing pre-COVID to all 5 COVID waves (p < 0.0001). There was an increase in the average number of daily urgent (p = 0.01) ophthalmic consultations from waves 1 to 4. Mean household income of patients was not significantly different pre-COVID compared to during the 5 COVID waves (p = 0.96). The most common referral reason was ocular trauma (38.0% of cases). There was a non-significant trend demonstrating more infectious disease presentations during waves 3 to 5 (p = 0.07). There was no difference in symptom duration prior to presentation (p = 0.54); however, there was a difference in the time between emergency room and ophthalmology assessment in waves 3 and 4 compared with wave 5 (p = 0.003). ConclusionThe number of pediatric ophthalmology consultations was less during the 5 COVID waves than pre-COVID. An increase in urgent pediatric ophthalmology consultations occurred as COVID-19 infection rates in Quebec decreased. Access to health care and time to care were preserved across waves compared with pre-pandemic.

Precarious employment and the workplace transmission of COVID-19: evidence from workers’ compensation claims in Ontario, Canada

ObjectiveTo examine the association between precarious employment and risk of work-related COVID-19 infection in Ontario, Canada.MethodsWe combined data from an administrative census of workers’ compensation claims with corresponding labour force...

COVID-19 infection and 2-year mortality in nursing home residents who survived the first wave of the pandemic

BackgroundDuring the first COVID-19 pandemic wave (1st CoPW), nursing homes (NHs) experienced a high rate of COVID-19 infection and death. Residents who survived the COVID-19 infection may have become frailer. This study aimed to determine the predictive value of having a COVID-19 infection during the 1st CoPW for 2-year mortality in NH residents.MethodsThis was a retrospective study conducted in three NHs. Residents who had survived the 1st CoPW (March to May 2020) were included. The diagnosis of COVID-19 was based on the results of a positive reverse transcriptase-polymerase chain reaction test. The collected data also included age, sex, length of residence in the NH, disability status, legal guardianship status, nutritional status, need for texture-modified food, hospitalization or Emergency Department visits during lockdown and SARS-COV2 vaccination status during the follow-up. Non-adjusted and adjusted Cox models were used to analyse factors associated with 2-year post-1st CoPW mortality.ResultsAmong the 315 CoPW1 survivors (72% female, mean age 88 years, 48% with severe disability), 35% presented with COVID-19. Having a history of COVID-19 was not associated with 2-year mortality: hazard ratio (HR) [95% confidence interval] = 0.96 [0.81–1.13], p = 0.62. The factors independently associated with 2-year mortality were older age (for each additional year, HR = 1.05 [1.03–1.08], p < 0.01), severe disability vs. moderate or no disability (HR = 1.35 [1.12–1.63], p < 0.01) and severe malnutrition vs. no malnutrition (HR = 1.29 [1.04–1.60], p = 0.02). Considering that vaccination campaign started during the follow-up, mortality was associated with severe malnutrition before and severe disability after the start of the campaign. Vaccination was independently associated with better survival (HR 0.71 [0.55–0.93], p = 0.02).ConclusionsHaving survived a COVID-19 infection during the 1st CoPW did not affect subsequent 2-year survival in older adults living in NHs. Severe malnutrition and disability remained strong predictor of mortality in this population, whereas vaccination was associated to better survival.