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Article Synopsis
  • The text discusses the importance of forecasting future health issues in the USA for effective planning and public awareness regarding disease and injury burdens.
  • It describes the methodology for predicting life expectancy, cause-specific mortality, and disability-adjusted life-years (DALYs) from 2022 to 2050 using the Global Burden of Diseases framework.
  • The forecasting includes various scenarios to assess the potential impacts of health risks and improvements across the country, focusing on demographic trends and health-related risk factors.
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Article Synopsis
  • The world is nearing the critical threshold of 1.5°C warming, with 2023 recording an average temperature rise of 1.45°C since pre-industrial times, leading to severe climate-related impacts.
  • The Countdown collaboration, formed to assess the health impacts of climate change post-Paris Agreement, involves over 300 experts analyzing data and trends annually.
  • The 2024 report highlights troubling increases in climate-related health risks, such as a staggering 167% rise in heat-related deaths among seniors, indicating worsening conditions affecting wellbeing globally.
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Investigation of Type A Aortic Dissection Using Computational Modelling.

Biomedicines

September 2024

Department of Vascular & Endovascular Surgery, Waikato Hospital, Hamilton 3204, New Zealand.

Aortic dissection is a catastrophic failure of the endothelial wall that could lead to malperfusion or rupture. Computational modelling tools may help detect arterial damage. Technological advancements have led to more sophisticated forms of modelling being made available to low-grade computers.

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Generating fit-for-purpose real-world evidence in Asia: How far are we from closing the gaps?

Perspect Clin Res

June 2023

Executive Office Transform Medical Communications Limited, Wanganui, New Zealand.

Evidence generated by randomized controlled trials (RCTs) does not often represent the patient journey and clinical outcomes in the real world due to limited external validity or generalizability. Studies based on real-world data are intended to generalize results to the broader population; however, if the influence of external factors or confounders is not effectively managed, the cause-and-effect relationship and internal validity may be challenged, resulting in flawed results. The collection of quality real-world evidence (RWE) is crucial in Asia as there is often an underrepresentation of Asian populations in RCTs.

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Background: The 2016 World Health Assembly endorsed the elimination of hepatitis B virus (HBV) infection as a public health threat by 2030; existing therapies and prophylaxis measures make such elimination feasible, even in the absence of a virological cure. We aimed to estimate the national, regional, and global prevalence of HBV in the general population and among children aged 5 years and younger, as well as the rates of diagnosis, treatment, prophylaxis, and the future burden globally.

Methods: In this modelling study, we used a Delphi process with data from literature reviews and interviews with country experts to quantify the prevalence, diagnosis, treatment, and prevention measures for HBV infection.

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