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Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

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Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
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Unknown unknowns - COVID-19 and potential global mortality.

Victor Grech1

  • 1Paediatric Dept, Mater Dei Hospital, Malta.

Early Human Development
|April 6, 2020
PubMed
Summary

This study estimates global COVID-19 infection and mortality rates, projecting up to half a billion deaths. Public health measures like social distancing are crucial to mitigate the pandemic's severe impact.

Area of Science:

  • Epidemiology
  • Public Health
  • Infectious Disease Modeling

Background:

  • The COVID-19 pandemic (caused by SARS-CoV-2) presents a significant global health crisis.
  • Effective treatments and widespread vaccination are currently lacking, necessitating mortality estimations.

Purpose of the Study:

  • To estimate global infection rates and potential mortality due to COVID-19.
  • To provide continent- and country-specific infection and mortality rate projections.

Main Methods:

  • Utilized World Health Organisation data from Wuhan, China, to establish case severity and mortality rates (14% severe, 5% intensive care, 4% mortality).
  • Extrapolated these rates to estimate global, continental, and national infection and mortality figures.

Main Results:

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  • Projected potential for nearly half a billion deaths globally, representing 6% of the world population.
  • Tabulated estimated infection and mortality rates for continents and large countries.

Conclusions:

  • The COVID-19 pandemic poses an unprecedented threat, with potentially catastrophic mortality figures.
  • Adherence to public health recommendations, including social distancing and hygiene, is critical to reduce transmission and mitigate the human cost.