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  1. Article: Jasmina Panovska-Griffiths' discussion contribution to papers in Session 3 of the Royal Statistical Society's special topic meeting on COVID-19 transmission: 11 June 2021.

    Panovska-Griffiths, Jasmina

    Journal of the Royal Statistical Society. Series A, (Statistics in Society)

    2022  Volume 185, Issue Suppl 1, Page(s) S150–S151

    Language English
    Publishing date 2022-12-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 1490715-X
    ISSN 1467-985X ; 0964-1998 ; 0035-9238
    ISSN (online) 1467-985X
    ISSN 0964-1998 ; 0035-9238
    DOI 10.1111/rssa.12982
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Can mathematical modelling solve the current Covid-19 crisis?

    Panovska-Griffiths, Jasmina

    BMC public health

    2020  Volume 20, Issue 1, Page(s) 551

    Abstract: Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its' spread in the UK and worldwide. This Editorial discusses the ... ...

    Abstract Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its' spread in the UK and worldwide. This Editorial discusses the importance of modelling in understanding Covid-19 spread, highlights different modelling approaches and suggests that while modelling is important, no one model can give all the answers.
    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Humans ; Models, Theoretical ; Pandemics ; Pneumonia, Viral/epidemiology ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-24
    Publishing country England
    Document type Editorial
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-020-08671-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey.

    McCabe, Ruth / Danelian, Gabriel / Panovska-Griffiths, Jasmina / Donnelly, Christl A

    Infectious Disease Modelling

    2024  Volume 9, Issue 2, Page(s) 299–313

    Abstract: Key epidemiological parameters, including the effective reproduction number, ...

    Abstract Key epidemiological parameters, including the effective reproduction number,
    Language English
    Publishing date 2024-01-30
    Publishing country China
    Document type Journal Article
    ZDB-ID 3015225-2
    ISSN 2468-0427 ; 2468-2152
    ISSN (online) 2468-0427
    ISSN 2468-2152
    DOI 10.1016/j.idm.2024.01.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The role of DSC MR perfusion in predicting IDH mutation and 1p19q codeletion status in gliomas: meta-analysis and technical considerations.

    Siakallis, Loizos / Topriceanu, Constantin-Cristian / Panovska-Griffiths, Jasmina / Bisdas, Sotirios

    Neuroradiology

    2023  Volume 65, Issue 7, Page(s) 1111–1126

    Abstract: Purpose: Isocitrate dehydrogenase (IDH) mutation and 1p19q codeletion status are important for managing glioma patients. However, current practice dictates invasive tissue sampling for histomolecular classification. We investigated the current value of ... ...

    Abstract Purpose: Isocitrate dehydrogenase (IDH) mutation and 1p19q codeletion status are important for managing glioma patients. However, current practice dictates invasive tissue sampling for histomolecular classification. We investigated the current value of dynamic susceptibility contrast (DSC) MR perfusion imaging as a tool for the non-invasive identification of these biomarkers.
    Methods: A systematic search of PubMed, Medline, and Embase up to 2023 was performed, and meta-analyses were conducted. We removed studies employing machine learning models or using multiparametric imaging. We used random-effects standardized mean difference (SMD) and bivariate sensitivity-specificity meta-analyses, calculated the area under the hierarchical summary receiver operating characteristic curve (AUC) and performed meta-regressions using technical acquisition parameters (e.g., time to echo [TE], repetition time [TR]) as moderators to explore sources of heterogeneity. For all estimates, 95% confidence intervals (CIs) are provided.
    Results: Sixteen eligible manuscripts comprising 1819 patients were included in the quantitative analyses. IDH mutant (IDHm) gliomas had lower rCBV values compared to their wild-type (IDHwt) counterparts. The highest SMD was observed for rCBV
    Conclusions: Identification of vascular signatures predictive of IDH and 1p19q status is a novel promising application of DSC perfusion. Standardization of acquisition protocols and post-processing of DSC perfusion maps are warranted before widespread use in clinical practice.
    MeSH term(s) Humans ; Isocitrate Dehydrogenase/genetics ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/genetics ; Magnetic Resonance Imaging/methods ; Glioma/diagnostic imaging ; Glioma/genetics ; Mutation ; Perfusion ; Retrospective Studies
    Chemical Substances Isocitrate Dehydrogenase (EC 1.1.1.41)
    Language English
    Publishing date 2023-05-13
    Publishing country Germany
    Document type Meta-Analysis ; Journal Article
    ZDB-ID 123305-1
    ISSN 1432-1920 ; 0028-3940
    ISSN (online) 1432-1920
    ISSN 0028-3940
    DOI 10.1007/s00234-023-03154-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Can mathematical modelling solve the current Covid-19 crisis?

    Jasmina Panovska-Griffiths

    BMC Public Health, Vol 20, Iss 1, Pp 1-

    2020  Volume 3

    Abstract: Abstract Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its’ spread in the UK and worldwide. This Editorial ... ...

    Abstract Abstract Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its’ spread in the UK and worldwide. This Editorial discusses the importance of modelling in understanding Covid-19 spread, highlights different modelling approaches and suggests that while modelling is important, no one model can give all the answers.
    Keywords Public aspects of medicine ; RA1-1270 ; covid19
    Language English
    Publishing date 2020-04-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Tracking the national and regional COVID-19 epidemic status in the UK using weighted principal component analysis.

    Swallow, Ben / Xiang, Wen / Panovska-Griffiths, Jasmina

    Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

    2022  Volume 380, Issue 2233, Page(s) 20210302

    Abstract: One of the difficulties in monitoring an ongoing pandemic is deciding on the metric that best describes its status when multiple intercorrelated measurements are available. Having a single measure, such as the effective reproduction number [Formula: see ... ...

    Abstract One of the difficulties in monitoring an ongoing pandemic is deciding on the metric that best describes its status when multiple intercorrelated measurements are available. Having a single measure, such as the effective reproduction number [Formula: see text], has been a simple and useful metric for tracking the epidemic and for imposing policy interventions to curb the increase when [Formula: see text]. While [Formula: see text] is easy to interpret in a fully susceptible population, it is more difficult to interpret for a population with heterogeneous prior immunity, e.g. from vaccination and prior infection. We propose an additional metric for tracking the UK epidemic that can capture the different spatial scales. These are the principal scores from a weighted principal component analysis. In this paper, we have used the methodology across the four UK nations and across the first two epidemic waves (January 2020-March 2021) to show that first principal score across nations and epidemic waves is a representative indicator of the state of the pandemic and is correlated with the trend in R. Hospitalizations are shown to be consistently representative; however, the precise dominant indicator, i.e. the principal loading(s) of the analysis, can vary geographically and across epidemic waves. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'.
    MeSH term(s) COVID-19/epidemiology ; Humans ; Models, Biological ; Pandemics ; Principal Component Analysis ; United Kingdom/epidemiology
    Language English
    Publishing date 2022-08-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 208381-4
    ISSN 1471-2962 ; 0080-4614 ; 0264-3820 ; 0264-3952 ; 1364-503X
    ISSN (online) 1471-2962
    ISSN 0080-4614 ; 0264-3820 ; 0264-3952 ; 1364-503X
    DOI 10.1098/rsta.2021.0302
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Can mathematical modelling solve the current Covid-19 crisis?

    Panovska-Griffiths, Jasmina

    BMC Public Health

    2020  Volume 20, Issue 1

    Keywords Public Health, Environmental and Occupational Health ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ISSN 1471-2458
    DOI 10.1186/s12889-020-08671-z
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Can mathematical modelling solve the current Covid-19 crisis?

    Panovska-Griffiths, Jasmina

    BMC Public Health

    Abstract: Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its' spread in the UK and worldwide. This Editorial discusses the ... ...

    Abstract Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its' spread in the UK and worldwide. This Editorial discusses the importance of modelling in understanding Covid-19 spread, highlights different modelling approaches and suggests that while modelling is important, no one model can give all the answers.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #116416
    Database COVID19

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  9. Article ; Online: Impact of national-scale targeted point-of-care symptomatic lateral flow testing on trends in COVID-19 infections, hospitalisations and deaths during the second epidemic wave in Austria (REAP3).

    Reitzinger, Stephanie / Czypionka, Thomas / Lammel, Oliver / Panovska-Griffiths, Jasmina / Leber, Werner

    BMC public health

    2023  Volume 23, Issue 1, Page(s) 506

    Abstract: Background: In October 2020, amidst the second COVID-19 epidemic wave and before the second-national lockdown, Austria introduced a policy of population-wide point-of-care lateral flow antigen testing (POC-LFT). This study explores the impact of this ... ...

    Abstract Background: In October 2020, amidst the second COVID-19 epidemic wave and before the second-national lockdown, Austria introduced a policy of population-wide point-of-care lateral flow antigen testing (POC-LFT). This study explores the impact of this policy by quantifying the association between trends in POC-LFT-activity with trends in PCR-positivity (as a proxy for symptomatic infection), hospitalisations and deaths related to COVID-19 between October 22 and December 06, 2020.
    Methods: We stratified 94 Austrian districts according to POC-LFT-activity (number of POC-LFTs performed per 100,000 inhabitants over the study period), into three population cohorts: (i) high(N = 24), (ii) medium(N = 45) and (iii) low(N = 25). Across the cohorts we a) compared trends in POC-LFT-activity with PCR-positivity, hospital admissions and deaths related to COVD-19; b) compared the epidemic growth rate before and after the epidemic peak; and c) calculated the Pearson correlation coefficients between PCR-positivity with COVID-19 hospitalisations and with COVID -19 related deaths.
    Results: The trend in POC-LFT activity was similar to PCR-positivity and hospitalisations trends across high, medium and low POC-LFT activity cohorts, with association with deaths only present in cohorts with high POC-LFT activity. Compared to the low POC-LFT-activity cohort, the high-activity cohort had steeper pre-peak daily increase in PCR-positivity (2.24 more cases per day, per district and per 100,000 inhabitants; 95% CI: 2.0-2.7; p < 0.001) and hospitalisations (0.10; 95% CI: 0.02, 0.18; p = 0.014), and 6 days earlier peak of PCR-positivity. The high-activity cohort also had steeper daily reduction in the post-peak trend in PCR-positivity (-3.6; 95% CI: -4.8, -2.3; p < 0.001) and hospitalisations (-0.2; 95% CI: -0.32, -0.08; p = 0.001). PCR-positivity was positively correlated to both hospitalisations and deaths, but with lags of 6 and 14 days respectively.
    Conclusions: High POC-LFT-use was associated with increased and earlier case finding during the second Austrian COVID-19 epidemic wave, and early and significant reduction in cases and hospitalisations during the second national lockdown. A national policy promoting symptomatic POC-LFT in primary care, can capture trends in PCR-positivity and hospitalisations. Symptomatic POC-LFT delivered at scale and combined with immediate self-quarantining and contact tracing can thus be a proxy for epidemic status, and hence a useful tool that can replace large-scale PCR testing.
    MeSH term(s) Humans ; COVID-19 ; Austria/epidemiology ; SARS-CoV-2 ; Point-of-Care Systems ; Communicable Disease Control ; Hospitalization
    Language English
    Publishing date 2023-03-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-023-15364-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Response to the letter by Prof Jonathan Deeks to the Lancet EClinicalMedicine editor.

    Leber, Werner / Lammel, Oliver / Panovska-Griffiths, Jasmina / Czypionka, Thomas

    EClinicalMedicine

    2021  Volume 40, Page(s) 101104

    Language English
    Publishing date 2021-09-11
    Publishing country England
    Document type Journal Article
    ISSN 2589-5370
    ISSN (online) 2589-5370
    DOI 10.1016/j.eclinm.2021.101104
    Database MEDical Literature Analysis and Retrieval System OnLINE

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