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Actuarial Approach

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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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Life Tables

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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
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Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
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Applications of Life Tables

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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Type I Respiratory Failure, or hypoxemic respiratory failure, occurs when the partial pressure of oxygen (PaO2) in arterial blood falls below 60 mmHg while breathing room air without a corresponding increase in arterial carbon dioxide levels (PaCO2). This condition highlights a significant impairment in the lungs' capacity to oxygenate the blood.
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Excess non-COVID-19 mortality in Norway 2020-2022.

Guttorm Raknes1,2,3, Stephanie Jebsen Fagerås4, Kari Anne Sveen5

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Summary

Excess non-COVID-19 deaths, primarily from cardiovascular diseases, were observed in Norway between March 2020 and December 2022. However, mortality from respiratory diseases and dementia decreased during this period.

Keywords:
COVID-19Cause of deathMortalityNorwayNorwegian cause of death registryPandemicRegister study

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Area of Science:

  • Public Health
  • Epidemiology
  • Mortality Studies

Background:

  • The COVID-19 pandemic significantly impacted mortality rates globally.
  • Understanding non-COVID-19 causes of death is crucial for assessing overall pandemic effects.
  • Excess mortality during the pandemic may be influenced by factors beyond direct COVID-19 infection.

Purpose of the Study:

  • To investigate changes in non-COVID-19 causes of death in Norway.
  • To quantify excess mortality from specific non-COVID-19 causes during the pandemic.
  • To compare observed mortality with predicted levels based on pre-pandemic trends.

Main Methods:

  • Population-based cross-sectional study using Norwegian Cause of Death Registry data (2010-2022).
  • Analysis of age-standardised death rates (ASMR) for major cause-of-death groups.
  • Forecasting of expected deaths and ASMRs using general linear regression models based on 2010-2019 data.

Main Results:

  • Significant excess mortality observed in 2021-2022 for all causes and cardiovascular diseases.
  • Age-standardised death rates (ASMR) increased for cardiovascular diseases and malignant tumors.
  • Fewer deaths than predicted for respiratory diseases (excluding COVID-19) and dementia were recorded.

Conclusions:

  • Norway experienced considerable excess non-COVID-19 mortality from March 2020 to December 2022.
  • Excess cardiovascular deaths were the primary driver of this increased mortality.
  • Mortality rates for respiratory diseases and dementia were lower than predicted during the pandemic period.