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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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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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If the frequency distribution of a data set is more inclined towards smaller or larger values, the distribution is said to be skewed. If data values are skewed to the right, then the distribution is called positively skewed. Conversely, if the plot is skewed to the left, the distribution is called negatively skewed.
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When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
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Cost Containment
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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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COVID-19, Cities and Inequality.

Han Li1, Yehua Dennis Wei2

  • 1Department of Geography and Sustainable Development, University of Miami, Coral Gables, FL 33146, USA.

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|October 16, 2023
PubMed
Summary
This summary is machine-generated.

The COVID-19 pandemic significantly reshaped urban environments, accelerating digitalization and remote work while increasing spatial inequality. These changes highlight the need for new urban theories to address post-pandemic city development.

Keywords:
COVID-19CitiesSustainable DevelopmentUrban InequalityUrban Space

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Area of Science:

  • Urban Studies
  • Sociology
  • Environmental Science

Background:

  • The COVID-19 pandemic has profoundly impacted daily life, necessitating an examination of its long-term effects on urban structures and societal dynamics.
  • Pre-existing urban inequalities have been exacerbated, leading to a more fragmented and segregated urban landscape.

Purpose of the Study:

  • To review the multifaceted impacts of the COVID-19 pandemic on urban commuting, work, consumption, and spatial inequality.
  • To conceptualize observed urban changes into structural transformation, accelerated transition, and temporal shifts.
  • To identify emerging post-pandemic urban theories and future research directions.

Main Methods:

  • Literature review and synthesis of existing research on pandemic-induced urban changes.
  • Conceptual framework development to categorize urban transformations.
  • Analysis of the interplay between health, environment, and socio-injustice in urban inequality.

Main Results:

  • Significant structural transformations, including widespread remote working and global supply chain restructuring, have occurred.
  • Digitalization and sustainable transitions have accelerated, alongside trends of suburbanization and increased demand for green spaces.
  • The pandemic's environmental impact may be temporary, but it has amplified urban inequalities and fragmented the urban landscape.

Conclusions:

  • COVID-19 has induced profound and lasting changes in urban areas, necessitating a re-evaluation of urban planning and policy.
  • The pandemic has expanded the scope of urban inequality research by integrating health, environmental, and social justice dimensions.
  • Future research should focus on developing new theoretical frameworks to understand and address the complexities of post-pandemic urban environments.