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Related Concept Videos

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Fischer Projections02:18

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Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
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Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
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The hepatic portal system, a critical part of our circulatory framework, transports nutrient-laden, deoxygenated blood from the gastrointestinal tract and spleen to the liver. This ingenious system plays an indispensable role in maintaining our body's metabolic equilibrium.
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Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Rochester Epidemiology Project Data Exploration Portal.

Jennifer L St Sauver1,2, Brandon R Grossardt3, Lila J Finney Rutten4,2

  • 1Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, 200 First St SW, Rochester, MN 55905.

Preventing Chronic Disease
|April 15, 2018
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A new web tool, the REP Data Exploration Portal (REP DEP), allows users to explore disease prevalence and co-occurrence patterns. This interactive platform provides rapid, free access to epidemiological data for a defined population.

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Area of Science:

  • Epidemiology
  • Public Health Informatics
  • Medical Records Linkage Systems

Background:

  • The expanded Rochester Epidemiology Project (E-REP) medical records-linkage system provides a rich dataset for studying disease patterns.
  • Understanding disease prevalence and co-occurrence is crucial for public health planning and resource allocation.

Observation:

  • A 27-county region in Minnesota and Wisconsin with a population of over 694,000 was analyzed.
  • Diagnostic codes from the International Classification of Diseases, 9th edition, were used for 717 disease categories from 2009-2013.
  • Observed-to-expected ratios (OERs) were calculated to identify non-random disease co-occurrence.

Findings:

  • The REP Data Exploration Portal (REP DEP) was launched in May 2017, offering interactive exploration of disease data.
  • Users can view overall, age-specific, and sex-specific prevalence for individual conditions and dyads (pairs of conditions).
  • Geographic maps display county-specific prevalence and OERs, highlighting spatial disease patterns.

Implications:

  • The REP DEP offers an innovative, rapid, and free resource for examining disease prevalence and co-occurrence.
  • This tool facilitates a deeper understanding of epidemiological trends within a geographically defined population.
  • The findings can inform public health strategies, clinical research, and healthcare delivery.