Browse our latest Epidemiology and Global Health articles

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    1. Cancer Biology
    2. Epidemiology and Global Health

    Risk of second primary cancers after a diagnosis of first primary cancer: A pan-cancer analysis and Mendelian randomization study

    Xiaohao Ruan, Da Huang ... Rong Na
    A certain type of primary cancer may cause another second primary cancer which would be of clinical importance to make a personalized screening plan for certain primary cancer patients.
    1. Epidemiology and Global Health
    2. Medicine

    Science Forum: Best practices to promote rigor and reproducibility in the era of sex-inclusive research

    Janet W Rich-Edwards, Donna L Maney
    Guidelines are presented to help researchers comply with sex-inclusive research mandates while upholding high standards of rigor.
    1. Epidemiology and Global Health
    2. Genetics and Genomics

    Within-host diversity improves phylogenetic and transmission reconstruction of SARS-CoV-2 outbreaks

    Arturo Torres Ortiz, Michelle Kendall ... Louis Grandjean
    The use of within-host pathogen genomic sequence data can be used to improve phylogenetic and transmission estimates.
    1. Epidemiology and Global Health
    2. Genetics and Genomics

    Time-varying and tissue-dependent effects of adiposity on leptin levels: A Mendelian randomization study

    Tom G Richardson, Genevieve M Leyden, George Davey Smith
    Leveraging time-varying and tissue-dependent genetic instruments into Mendelian randomization studies may help develop insight over more conventional applications.
    1. Epidemiology and Global Health
    2. Genetics and Genomics

    Single-nuclei characterization of pervasive transcriptional signatures across organs in response to COVID-19

    The COVID Tissue Atlas Consortium, Alejandro A Granados ... Bruce Wang
    A conserved transcriptional signature in macrophages and endothelial cells occurs in multiple organs in response to COVID-19 and suggests potential molecular interactions between the two cell types.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    A modelled analysis of the impact of COVID-19-related disruptions to HPV vaccination

    Louiza S Velentzis, Megan A Smith ... Karen Canfell
    Results from this modelled analysis indicate that short-term delays in HPV vaccination of adolescents are unlikely to have substantial long-term effects on HPV-related cancers, provided catch-up of missed vaccine doses can be implemented.
    1. Epidemiology and Global Health

    A rapid review of COVID-19’s global impact on breast cancer screening participation rates and volumes from January to December 2020

    Reagan Lee, Wei Xu ... Jonine Figueroa
    A reduction in breast screening participation volume during COVID-19 that differed by region and healthcare setting was observed in a rapid review of 26 studies globally, suggesting monitoring of screening access by disadvantaged groups to reduce disparities.
    1. Biochemistry and Chemical Biology
    2. Epidemiology and Global Health

    Status and physiological significance of circulating adiponectin in the very old and centenarians: an observational study

    Takashi Sasaki, Yoshinori Nishimoto ... Yasumichi Arai
    Circulating high-molecular-weight (cHMW) adiponectin levels increased with age until centenarians, and the contribution of known major factors associated with cHMW adiponectin levels including BMI varied with age, suggesting that its physiological significance also varies with age in the oldest old.
    1. Ecology
    2. Epidemiology and Global Health

    Mosquito community composition shapes virus prevalence patterns along anthropogenic disturbance gradients

    Kyra Hermanns, Marco Marklewitz ... Sandra Junglen
    Analysis of naturally infected mosquitoes shows that ecosystem disturbance can lead to a turnover in host community composition and that more individuals of a single species are a key driver of virus emergence.
    1. Epidemiology and Global Health

    Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults

    Charumathi Sabanayagam, Feng He ... Ching Yu Cheng
    Integrating machine learning (ML) models with selected features improved the prediction accuracy of diabetic kidney disease compared to traditional logistic regression models using established features, revealing potential new markers and supporting the use of ML techniques in epidemiological studies.