Browse our latest Epidemiology and Global Health articles

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    1. Epidemiology and Global Health

    The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity

    Gidon Levakov, Alon Kaplan ... Iris Shai
    Assessing predicted fMRI-based functional brain age before and after a lifestyle intervention suggests that weight loss, improved liver biomarkers, decreased liver fat, and visceral and deep subcutaneous adipose tissues correlate with attenuated brain aging.
    1. Epidemiology and Global Health
    2. Evolutionary Biology

    Phylodynamics of SARS-CoV-2 in France, Europe, and the world in 2020

    Romain Coppée, François Blanquart ... Antoine Bridier-Nahmias
    By producing one hundred SARS-CoV-2 phylogenetic trees for different geographical and time scales, the maximum likelihood-based phylodynamic method implemented here enabled to robustly describe SARS-CoV-2 geographic spread through France, Europe, and worldwide in 2020.
    1. Epidemiology and Global Health

    Point of View: COVID-19 as a catalyst for reimagining cervical cancer prevention

    Rebecca Luckett, Sarah Feldman ... Suzanne Garland
    The Policy Committee of the International Papillomavirus Society describes how lessons learnt from the COVID-19 pandemic could propel a new approach to the elimination of cervical cancer that is more likely to be successful.
    1. Medicine
    2. Epidemiology and Global Health

    A systematic assessment of preclinical multilaboratory studies and a comparison to single laboratory studies

    Victoria T Hunniford, Agnes Grudniewicz ... Manoj M Lalu
    Preclinical multilaboratory studies are a robust method to assess promising interventions.
    1. Epidemiology and Global Health
    2. Genetics and Genomics

    Polygenic risk scores for the prediction of common cancers in East Asians: A population-based prospective cohort study

    Peh Joo Ho, Iain BeeHuat Tan ... Jingmei Li
    Site-specific polygenic risk scores can stratify the risk of developing breast, prostate, and colorectal cancers in this East Asian population.
    1. Epidemiology and Global Health
    2. Immunology and Inflammation

    Viral persistence, reactivation, and mechanisms of long COVID

    Benjamin Chen, Boris Julg ... RECOVER Mechanistic Pathways Task Force
    Persistence of severe acute respiratory syndrome coronavirus 2 and reactivation of unrelated latent viruses may play a role in the development and pathogenesis of long COVID, and future research should focus on identifying the mechanisms behind these interactions.
    1. Epidemiology and Global Health

    An umbrella review of systematic reviews on the impact of the COVID-19 pandemic on cancer prevention and management, and patient needs

    Taulant Muka, Joshua JX Li ... John PA Ioannidis
    A diverse and substantial impact of the COVID-19 pandemic on cancer care is observed, including delays in treatment, screening, and diagnosis, as well as on the psychosocial welling of patients with cancer.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Statistical modeling based on structured surveys of Australian native possum excreta harboring Mycobacterium ulcerans predicts Buruli ulcer occurrence in humans

    Koen Vandelannoote, Andrew H Buultjens ... Timothy P Stinear
    The systematic field testing of excreta from Australian native possums for the bacterial pathogen Mycobacterium ulcerans can be used to build statistical models that predict the regions in southeast Australia where humans will subsequently get Buruli ulcer.
    1. Epidemiology and Global Health

    Projected long-term effects of colorectal cancer screening disruptions following the COVID-19 pandemic

    Pedro Nascimento de Lima, Rosita van den Puttelaar ... Carolyn M Rutter
    Unequal recovery in colorectal cancer screening following the COVID-19 pandemic can widen disparities in colorectal cancer outcomes.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Rapid geographical source attribution of Salmonella enterica serovar Enteritidis genomes using hierarchical machine learning

    Sion C Bayliss, Rebecca K Locke ... Lauren A Cowley
    Application of hierarchical machine learning to the geographical source attribution of Salmonella enteritidis indicates high utility for the rapid translation of raw pathogen genome sequencing data into accurate and actionable information for disease management in public health.