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1.
Int J Infect Dis ; 130 Suppl 1:S1-s3, 2023.
Article in English | PubMed | ID: covidwho-20236106

ABSTRACT

INTRO: Viruses, including SARS-CoV-2, which causes COVID-19, are constantly changing. These genetic changes (aka mutations) occur over time and can lead to the emergence of new variants that may have different characteristics. After the first SARS-CoV-2 genome was published in early 2020, scientists all over the world soon realized the immediate need to obtain as much genetic information from as many strains as possible. However, understanding the functional significance of the mutations harbored by a variant is important to assess its impact on transmissibility, disease severity, immune escape, and the effectiveness of vaccines and therapeutics. METHODS: Here in Canada, we have developed an interactive framework for visualizing and reporting mutations in SARS-CoV-2 variants. This framework is composed of three stand-alone yet connected components;an interactive visualization (COVID-MVP), a manually curated functional annotation database (pokay), and a genomic analysis workflow (nf-ncov-voc). Findings: COVID-MVP provides (i) an interactive heatmap to visualize and compare mutations in SARS-CoV-2 lineages classified across different VOCs, VOIs, and VUMs;(ii) mutation profiles including the type, impact, and contextual information;(iii) annotation of biological impacts for mutations where functional data is available in the literature;(iv) summarized information for each variant and/or lineage in the form of a surveillance report;and (v) the ability to upload raw genomic sequence(s) for rapid processing and annotating for real-time classification. DISCUSSION: This comprehensive comparison allows microbiologists and public health practitioners to better predict how the mutations in emerging variants will impact factors such as infection severity, vaccine resistance, hospitalization rates, etc. CONCLUSION: This framework is cloud-compatible & standalone, which makes it easier to integrate into other genomic surveillance tools as well. COVID-MVP is integrated into the Canadian VirusSeq data portal (https://virusseqdataportal.ca) - a national data hub for SARS-COV-2 genomic data. COVID-MVP is also used by the CanCOGeN and CoVaRR networks in national COVID-19 genomic surveillance.

3.
Int J Tuberc Lung Dis ; 26(7): 636-640, 2022 07 01.
Article in English | MEDLINE | ID: covidwho-1912010

ABSTRACT

SETTING: The COVID-19 pandemic has caused significant disruption worldwide to economies and healthcare systems, even those with well-developed infrastructure.OBJECTIVE: To examine the effects of COVID-19 on TB diagnosis in Singapore, and to identify any factors that could facilitate early detection of TB among persons screened.DESIGN: To assess the impact of testing and diagnosis of the pandemic on TB, the number of TB-related tests from January 2018 to December 2020 were collected. We also conducted a retrospective case-control study of all adult patients admitted for COVID-19, TB or coinfection from 23 January to 31 May 2020.RESULTS: Nationwide testing for TB from 2018 to 2020 increased by 24.2%. We analysed 253 adult inpatients, of whom 107 (42.3%) were diagnosed with COVID-19, 134 (53.0%) had TB, while 12 (4.7%) had co-infection. Patients with TB were more likely to have chest X-ray abnormalities than those with COVID-19 (89.9% vs. 76.0%; P < 0.01). Patients with TB were more likely to have prolonged cough vs. those with COVID-19 infection (28 vs. 5 days; P < 0.01).CONCLUSION: Early screening for TB, even among patients with COVID-19, could lead to earlier diagnosis and treatment, thereby breaking the chain of transmission.


Subject(s)
COVID-19 , Coinfection , Adult , Case-Control Studies , Coinfection/epidemiology , Humans , Pandemics , Retrospective Studies
4.
Int J Tuberc Lung Dis ; 25(6): 421-423, 2021 06 01.
Article in English | MEDLINE | ID: covidwho-1248354
5.
Pulmonology ; 27(2): 151-165, 2021.
Article in English | MEDLINE | ID: covidwho-1049866

ABSTRACT

Evidence is accumulating on the interaction between tuberculosis (TB) and COVID-19. The aim of the present review is to report the available evidence on the interaction between these two infections. Differences and similarities of TB and COVID-19, their immunological features, diagnostics, epidemiological and clinical characteristics and public health implications are discussed. The key published documents and guidelines on the topic have been reviewed. Based on the immunological mechanism involved, a shared dysregulation of immune responses in COVID-19 and TB has been found, suggesting a dual risk posed by co-infection worsening COVID-19 severity and favouring TB disease progression. The available evidence on clinical aspects suggests that COVID-19 happens regardless of TB occurrence either before, during or after an active TB diagnosis. More evidence is required to determine if COVID-19 may reactivate or worsen active TB disease. The role of sequeale and the need for further rehabilitation must be further studied Similarly, the potential role of drugs prescribed during the initial phase to treat COVID-19 and their interaction with anti-TB drugs require caution. Regarding risk of morbidity and mortality, several risk scores for COVID-19 and independent risk factors for TB have been identified: including, among others, age, poverty, malnutrition and co-morbidities (HIV co-infection, diabetes, etc.). Additional evidence is expected to be provided by the ongoing global TB/COVID-19 study.


Subject(s)
COVID-19/epidemiology , Coinfection/epidemiology , Public Health/methods , Tuberculosis/epidemiology , COVID-19/pathology , Coinfection/pathology , Comorbidity , Humans , SARS-CoV-2 , Tuberculosis/pathology
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