COVID-19 vaccines in high-risk ethnic groups.
Ontology highlight
ABSTRACT:
SUBMITTER: D'Souza RS
PROVIDER: S-EPMC8016409 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
Publications
COVID-19 vaccines in high-risk ethnic groups.
D'Souza Rashmi S RS Wolfe Ingrid I
Lancet (London, England) 20210401 10282
Similar Datasets
Project description:ObjectiveTo characterise the optimal targeting of age and risk groups for COVID-19 vaccines.DesignMotivated by policies in Japan and elsewhere, we consider rollouts that target a mix of age and risk groups when distributing the vaccines. We identify the optimal group mix for three policy objectives: reducing deaths, reducing cases and reducing severe cases.SettingJapan, a country where the rollout occurred over multiple stages targeting a mix of age and risk groups in each stage.Primary outcomesWe use official statistics on COVID-19 deaths to quantify the virus transmission patterns in Japan. We then search over all possible group mix across rollout stages to identify the optimal strategies under different policy objectives and virus and vaccination conditions.ResultsLow-risk young adults can be targeted together with the high-risk population and the elderly to optimally reduce deaths, cases and severe cases under high virus transmissibility. Compared with targeting the elderly or the high-risk population only, applying optimal group mix can further reduce deaths and severe cases by over 60%. High-efficacy vaccines can mitigate the health loss under suboptimal targeting in the rollout.ConclusionsMixing age and risk groups outperforms targeting individual groups separately, and optimising the group mix can substantially increase the health benefits of vaccines. Additional policy measures boosting vaccine efficacy are necessary under outbreaks of transmissible variants.
| S-EPMC9748520 | biostudies-literature
Project description: Not available
| S-EPMC7367669 | biostudies-literature
Project description:ObjectiveTo estimate the optimal quarantine period for inbound travelers and identify key risk factors to provide scientific reference for emerging infectious diseases.MethodsA parametric survival analysis model was used to calculate the time interval between entry and first positive nucleic acid test of imported cases in Guangzhou, to identify the influencing factors. And the COVID-19 epidemic risk prediction model based on multiple risk factors among inbound travelers was constructed.ResultsThe approximate 95th percentile of the time interval was 14 days. Multivariate analysis found that the mean time interval for inbound travelers in entry/exit high-risk occupations was 29% shorter (OR 0.29, 95% CI 0.18-0.46, p < 0.0001) than that of low-risk occupations, those from Africa were 37% shorter (OR 0.37, 95% CI 0.17-0.78, p = 0.01) than those from Asia, those who were fully vaccinated were 1.88 times higher (OR 1.88, 95% CI 1.13-3.12, p = 0.01) than that of those who were unvaccinated, and those in other VOC periods were lower than in the Delta period. Decision tree analysis showed that a combined entry/exit low-risk occupation group with Delta period could create a high indigenous epidemic risk by 0.24.ConclusionDifferent strata of imported cases can result in varying degrees of risk of indigenous outbreaks. "low-risk groups" with entry/exit low-risk occupations, fully vaccinated, or from Asia deserve more attention than "high-risk groups."
| S-EPMC10720434 | biostudies-literature
Project description:BackgroundCOVID-19 manifests with huge heterogeneity in susceptibility and severity outcomes. UK Black Asian and Minority Ethnic (BAME) groups have demonstrated disproportionate burdens. Some variability remains unexplained, suggesting potential genetic contribution. Polygenic Risk Scores (PRS) can determine genetic predisposition to disease based on Single Nucleotide Polymorphisms (SNPs) within the genome. COVID-19 PRS analyses within non-European samples are extremely limited. We applied a multi-ethnic PRS to a UK-based cohort to understand genetic contribution to COVID-19 variability.MethodsWe constructed two PRS for susceptibility and severity outcomes based on leading risk-variants from the COVID-19 Host Genetics Initiative. Scores were applied to 447,382 participants from the UK-Biobank. Associations with COVID-19 outcomes were assessed using binary logistic regression and discriminative power was validated using incremental area under receiver operating curve (ΔAUC). Variance explained was compared between ethnic groups via incremental pseudo-R2 (ΔR2).ResultsCompared to those at low genetic risk, those at high risk had a significantly greater risk of severe COVID-19 for White (odds ratio [OR] 1.57, 95% confidence interval [CI] 1.42-1.74), Asian (OR 2.88, 95% CI 1.63-5.09) and Black (OR 1.98, 95% CI 1.11-3.53) ethnic groups. Severity PRS performed best within Asian (ΔAUC 0.9%, ΔR2 0.98%) and Black (ΔAUC 0.6%, ΔR2 0.61%) cohorts. For susceptibility, higher genetic risk was significantly associated with COVID-19 infection risk for the White cohort (OR 1.31, 95% CI 1.26-1.36), but not for Black or Asian groups.ConclusionsSignificant associations between PRS and COVID-19 outcomes were elicited, establishing a genetic basis for variability in COVID-19. PRS showed utility in identifying high-risk individuals. The multi-ethnic approach allowed applicability of PRS to diverse populations, with the severity model performing well within Black and Asian cohorts. Further studies with larger sample sizes of non-White samples are required to increase statistical power and better assess impacts within BAME populations.
| S-EPMC10311902 | biostudies-literature
Project description:ObjectivesIn the wake of the coronavirus disease 2019 (COVID-19) pandemic, we have witnessed a rise in the instances of mental health problems and the suicide-related mortality rates. This study aims to identify the suicide-related risk factors and stressors to determine the groups at a greater risk of attempting suicide during the COVID-19 lockdown.MethodsThis retrospective study examined 29 cases of attempted suicide during the 3-month COVID-19 lockdown in KSA. The suicide risk factors were evaluated using specific instrument the modified (SAD PERSONS) scale. It is an acronym for sex, age, depression, previous attempt, excess alcohol, rational thinking loss, social status, organized plan, no social supports and stated future intent.ResultsThe lockdown stressors that may have triggered suicidal behaviours were identified as follows: psychological distress, relationship problems, financial difficulties, and extreme fear of the COVID-19 infection. While all age groups carried the risk of attempting suicide during the lockdown, patients with psychiatric disorders and women accounted for 69% and 65.5% of the cohort, respectively. Factors like hopelessness and depression were highly related to suicide attempts, as well as the statement of future intent to repeat the attempt, at 72.4% and 65.5% respectively. Almost two-thirds of the attempts made were serious, and many women felt unsafe in their own homes during the lockdown.ConclusionPatients with pre-existing psychiatric disorders and women carry high risk of attempting suicide during the COVID-19 lockdown. This study offers insights on the greater outreach efforts that can be carried out for these patients by calling for the prioritization of mental health care, improvement of domestic violence services, and strengthening of suicide prevention strategies.
| S-EPMC8186882 | biostudies-literature
Project description:BackgroundEpidemiological data on seasonal coronaviruses (sCoVs) may provide insight on transmission patterns and demographic factors that favor coronaviruses (CoVs) with greater disease severity. This study describes the incidence of CoVs in several high-risk groups in Ottawa, Canada, from October 2020 to March 2022.MethodsSerological assays quantified IgG and IgM antibodies to SARS-CoV-2, HCoV-OC43, HCoV-NL63, HCoV-HKU1, and HCoV-229E. Incident infections were compared between four population groups: individuals exposed to children, transit users, immunocompromised, and controls. Associations between antibody prevalence indicative of natural infection and demographic variables were assessed using regression analyses.ResultsTransit users and those exposed to children were at no greater risk of infection compared to the control group. Fewer infections were detected in the immunocompromised group (p = .03). SARS-CoV-2 seroprevalence was greater in individuals with low income and within ethnic minorities.ConclusionsOur findings suggest that nonpharmaceutical interventions intended to reduce SAR-CoV-2 transmission protected populations at high risk of exposure. The re-emergence of sCoVs and other common respiratory viruses alongside SARS-CoV-2 may alter infection patterns and increase the risk in vulnerable populations.
| S-EPMC11256882 | biostudies-literature
Project description:It is a known fact that there are a particular set of people who are at higher risk of getting COVID-19 infection. Typically, these high-risk individuals are recommended to take more preventive measures. The use of non-pharmaceutical interventions (NPIs) and the vaccine are playing a major role in the dynamics of the transmission of COVID-19. We propose a COVID-19 model with high-risk and low-risk susceptible individuals and their respective intervention strategies. We find two equilibrium solutions and we investigate the basic reproduction number. We also carry out the stability analysis of the equilibria. Further, this model is extended by considering the vaccination of some non-vaccinated individuals in the high-risk population. Sensitivity analyses and numerical simulations are carried out. From the results, we are able to obtain disease-free and endemic equilibrium solutions by solving the system of equations in the model and show their global stabilities using the Lyapunov function technique. The results obtained from the sensitivity analysis shows that reducing the hospitals' imperfect efficacy can have a positive impact on the control of COVID-19. Finally, simulations of the extended model demonstrate that vaccination could adequately control or eliminate COVID-19.
| S-EPMC9861103 | biostudies-literature
Project description:BackgroundNirmatrelvir/ritonavir is indicated for the treatment of COVID-19 in symptomatic adults with increased risk for severe illness, not requiring supplemental oxygen yet. From a Dutch societal perspective, a cost-utility assessment of nirmatrelvir/ritonavir versus best supportive care (BSC) was conducted in three patient groups: (a) immunocompromised patients, (b) patients aged at least 60 years with one comorbidity, (c) patients aged at least 70 years. Groups were selected considering their relevance as high-risk groups, as described in Dutch and international guidelines and recommendations.MethodsA one-year decision-tree, estimating costs and outcomes associated with a COVID-19 infection was coupled to a lifetime two-state Markov component simulating subsequent life-time survival and quality of life. Effectiveness estimates, informing the intervention preventing hospital admission or death, were based on real-world evidence by Lewnard and colleagues (2023) in a vaccinated population during a timeframe with predominance of the Omicron variant. Epidemiology relies on publicly available data, primarily sourced during the Omicron variant's era. In the decision tree, clinically relevant event-related disutilities per disease course were applied to adjusted age-dependent Dutch-specific utility levels. In the Markov component, a disutility was considered for post-ICU patients. Costs rely on Dutch pharmacoeconomic guidelines and public data sources. The incremental cost-effectiveness ratio (ICER) was analysed as the main outcome, with a positive ICER indicating the cost associated with each additional quality-adjusted life year (QALY) gained by adopting the intervention.ResultsNirmatrelvir/ritonavir was associated with an ICER of € 395 in the immunocompromised group (per patient: + 0.125 QALYs gained; + 0.130 life-years [LYs] gained; € 49 incremental cost), with an ICER of € 8700 in 60-plus patients with comorbidity (+ 0.054 QALYs; + 0.055 LYs; € 474 incremental cost), and with an ICER of € 13,021 among 70-plus patients (+ 0.053 QALYs; + 0.045 LYs; € 689 incremental cost). Results were most sensitive to the baseline hospitalization rates among high-risk individuals. Probabilistic sensitivity analyses indicate a high probability of being cost-effective (100, 94, 85% respectively), considering a willingness-to-pay threshold of € 20,000 per QALY.ConclusionsFrom a Dutch societal perspective, over a lifetime horizon, nirmatrelvir/ritonavir is cost-effective versus BSC in the three groups analysed.
| S-EPMC11852545 | biostudies-literature
Project description:BackgroundPost-Traumatic Stress Disorder (PTSD) is considered as a prevalent outcome of the COVID-19 pandemic. This study aimed to present a global picture of the prevalence of PTSD in high-risk groups for COVID-19 (HRGs-COVID19) and determine its risk factors.MethodsCross-sectional studies published between March 11, 2020, and October 11, 2021, in English, were searched in seven databases on the prevalence of PTSD in HRGs-COVID19. After screening the retrieved records, their quality was assessed, and the required data were extracted. R-4.1.3 software and random effect model with 95 % confidence interval (CI) were used to synthesize and analyze the data.ResultsThe pooled prevalence of PTSD in HRGs-COVID19 was 30 % (95 % CI: 21-39 %). The pooled prevalence of PTSD was significantly different in terms of the variables of data collection during the lockdown, gender, and data collection season (P < 0.05). Subgroup analyses could not identify sources of heterogeneity.LimitationsThe included studies did not cover all HRGs-COVID19 such as smokers and the elderly.ConclusionConsidering the higher pooled prevalence of PTSD in HRGs-COVID19 than the general population, COVID-19 patients, and health care workers, prioritizing this subgroup for prevention and treatment of psychological outcomes is highly recommended. Predicting and implementing psychological interventions early in the pandemic is more critical when applying restrictive measures and among HRGs-COVID19 women.
| S-EPMC9512530 | biostudies-literature
Project description: Not available
| S-EPMC8554176 | biostudies-literature