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Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

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,...
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...
Causality in Epidemiology01:21

Causality in Epidemiology

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...
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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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Updated: May 22, 2026

Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

Changing epidemiology: does it increase our understanding?

David J Humes1

  • 1Nottingham Digestive Disease Centre, University of Nottingham and NIHR Biomedical Research Unit, QMC Campus, Nottingham University Hospital NHS Trust, Nottingham, UK. david.humes@nottingham.ac.uk

Digestive Diseases (Basel, Switzerland)
|May 11, 2012
PubMed
Summary

Diverticular disease is increasing healthcare costs and hospitalizations, with rising complications like perforation. Risk factors include obesity, smoking, and certain medications, leading to significant mortality.

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Last Updated: May 22, 2026

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Area of Science:

  • Gastroenterology
  • Public Health
  • Epidemiology

Background:

  • Diverticular disease is a common condition with increasing prevalence.
  • Healthcare administration data and cohort studies have investigated its occurrence and risk factors.

Purpose of the Study:

  • To identify studies reporting the occurrence and mortality of diverticulosis and its complications.
  • To assess the healthcare burden and risk factors associated with diverticular disease.

Main Methods:

  • Systematic review of studies reporting on diverticulosis, diverticular disease, and complications.
  • Analysis of data on hospitalization rates, incidence of complications, risk factors, and mortality.

Main Results:

  • Strong evidence indicates an increasing healthcare burden due to hospitalizations for diverticular disease.
  • An increase in the incidence of complications, particularly perforation, was observed.
  • Identified risk factors include high body mass index, comorbidity, smoking, opiate analgesics, and steroids.
  • Mortality associated with hospital admission for diverticular disease and its complications is significant.

Conclusions:

  • Diverticular disease poses a growing healthcare challenge with increasing hospitalizations and complications.
  • Risk factor modification and management of complications are crucial for reducing associated mortality.