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  1. Book ; Online: Code to replicate 'Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world' (2020) by Block, P., Hoffman, M., Raabe, I. J., Dowd, J. B., Rahal, C., Kashyap, R., & Mills, M. C. arXiv preprint

    Marion Hoffman / Per Block

    2004.07052.

    2020  

    Abstract: Code to replicate 'Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world' (2020) ...

    Abstract Code to replicate 'Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world' (2020)
    Keywords COVID-19 ; network science ; infection models ; social distancing ; covid19
    Publishing date 2020-05-02
    Publishing country eu
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: 30143 Asymptomatic Thoracic Aortic Aneurysm Growth Rates and Predicting Factors

    Matthew Henry / Pieter Van Bakel / Mark MacEachern / Marion Hoffman Bowman / Kim Eagle / Himanshu Patel / Nicholas Burris

    Journal of Clinical and Translational Science, Vol 5, Pp 93-

    A Systematic Review and Meta-Analysis

    2021  Volume 94

    Abstract: ABSTRACT IMPACT: Through conducting this systematic review and meta-analysis, we will elucidate which factors influence thoracic aortic aneurysm growth, which will further help clinicians to properly stratify and manage their patients with TAAs. ... ...

    Abstract ABSTRACT IMPACT: Through conducting this systematic review and meta-analysis, we will elucidate which factors influence thoracic aortic aneurysm growth, which will further help clinicians to properly stratify and manage their patients with TAAs. OBJECTIVES/GOALS: Thoracic aortic aneurysms (TAA) are an indolent but fatal disease, and the patient characteristics that predict both overall growth and growth rate are still not well characterized. Our goal is to conduct a systematic review and meta-analysis in other to better describe different patient characteristics that predict TAA growth. METHODS/STUDY POPULATION: M.M. conducted a search of Ovid MEDLINE, Embase, and Scopus to identify articles. Inclusion criteria were any longitudinal study reporting asymptomatic TAA growth, growth rates, or clinical proxies for growth such as dissection, rupture, emergency surgery, and death. M.H and P.B. independently applied the criteria to the results of the search. Conflicts were resolved by N.B. Data was extracted and risk of bias assessed independently by M.H. and P.B. Summary estimates of the outcome variables are combined across studies using standard meta-analysis methods. Heterogeneity is assessed via forest plots, chi2 test (Q test), and I2 statistic. Sensitivity analysis is conducted to assess robustness of the findings. RESULTS/ANTICIPATED RESULTS: The literature search resulted in 3,419 abstracts, of which 176 were included and thus require a full text review. Cohen’s Kappa coefficient was 0.64, indicating substantial agreement and high inter-rater reliability. We describe four categories of patient characteristics influencing the growth of asymptomatic TAAs: demographics, genetic or inheritable conditions, hemodynamic or biomechanical factors, and serum biomarkers. We describe the measure of effect for all variables. We anticipate there is a significant level of heterogeneity between studies, and potentially moderate risk of bias for many of the included studies as they are retrospective and observational in ...
    Keywords Medicine ; R
    Subject code 310
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher Cambridge University Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Social network-based distancing strategies to flatten the COVID 19 curve in a post-lockdown world

    Per Block / Marion Hoffman / Isabel Raabe J. / Jennifer Dowd Beam / Charles Rahal / Ridhi Kashyap / Melinda Mills C.

    Abstract: The COVID-19 pandemic highlights the importance of effective non-pharmaceutical public health interventions. While social distancing and isolation has been introduced widely, more moderate contact reduction policies could become desirable owing to ... ...

    Abstract The COVID-19 pandemic highlights the importance of effective non-pharmaceutical public health interventions. While social distancing and isolation has been introduced widely, more moderate contact reduction policies could become desirable owing to adverse social, psychological, and economic consequences of a complete or near-complete lockdown. Adopting a novel social network approach, we evaluate the effectiveness of three targeted distancing strategies designed to 'keep the curve flat' and aid compliance in a post-lockdown world. We simulate stochastic infection curves that incorporate core elements from infection models, ideal-type social network models, and statistical relational event models. Our models demonstrate that while social distancing measures clearly do flatten the curve, strategic reduction of contact can strongly increase their efficiency, introducing the possibility of allowing some social contact while keeping risks low. Limiting interaction to a few repeated contacts emerges as the most effective strategy. Maintaining similarity across contacts and the strengthening of communities via triadic strategies are also highly effective. This approach provides empirical evidence which adds nuanced policy advice for effective social distancing that can mitigate adverse consequences of social isolation.
    Keywords covid19
    Publisher arxiv
    Document type Article
    Database COVID19

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