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Background: The COVID-19 pandemic disrupted routine child immunization efforts, threatening to reverse progress in controlling vaccine-preventable diseases.

Materials And Methods: We analyzed the impact of COVID-19 on DTP3 vaccination in Europe by comparing trends before and after the pandemic using time series data from 2000 to 2023. Employing joinpoint regression, chi-square tests, and segmented regression analysis, we assessed DTP3 vaccination trends and coverage changes.

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Objective: To understand how area deprivation inequalities in COVID-19 mortality changed during the national vaccination programme in England and to identify the extent to which these inequalities might be explained by unequal vaccination uptake.

Design: Ecological study.

Setting: 307 Lower Tier Local Authorities in England, March 2020 - December 2022.

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AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core.

J Med Internet Res

January 2025

Center for Community-Engaged Artificial Intelligence, School of Science & Engineering, Tulane University, New Orleans, LA, United States.

There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges.

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Background: This cross-sectional study aims to determine the mortality trends in patients with SARS-CoV-2 infection during the pandemic in Flint, MI.

Methods: Records from 1,663 consecutive adult patients (≥18 years of age) with confirmed SARS-CoV-2 infection, admitted and discharged from our facility from 03/2020 through 02/2022, were abstracted and analyzed. Multivariable logistic regression analysis was performed to examine the association between study explanatory variables (ie, sex, age, co-morbidities, etc.

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A protective effect of childhood vaccinations on leukemia risk, particularly acute lymphoblastic leukemia (ALL), has been hypothesized, though findings are inconsistent. We used a nationwide cohort of Danish children born 1997-2018 (n = 1,360,230), to examine associations between childhood vaccinations and leukemia (<20 years) using registry data (follow-up: December 31, 2018). Cox proportional hazard models with age as the underlying time estimated hazard ratios (HRs) for leukemia (any, ALL, acute myeloid [AML], and other), comparing vaccinated with unvaccinated children.

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