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Related Concept Videos

Models of Health Promotion and Illness Prevention I01:25

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A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
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Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
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Formation of Complex Ions03:45

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A type of Lewis acid-base chemistry involves the formation of a complex ion (or a coordination complex) comprising a central atom, typically a transition metal cation, surrounded by ions or molecules called ligands. These ligands can be neutral molecules like H2O or NH3, or ions such as CN− or OH−. Often, the ligands act as Lewis bases, donating a pair of electrons to the central atom. These types of Lewis acid-base reactions are examples of a broad subdiscipline called coordination...
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Crystal Field Theory
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Related Experiment Video

Updated: Feb 4, 2026

Amide Coupling Reaction for the Synthesis of Bispyridine-based Ligands and Their Complexation to Platinum as Dinuclear Anticancer Agents
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Developing agent-based models of complex health behaviour.

Jennifer Badham1, Edmund Chattoe-Brown2, Nigel Gilbert3

  • 1UKCRC Centre of Excellence for Public Health Research Northern Ireland, Queen's University Belfast, Institute of Clinical Sciences Block B, Royal Victoria Hospital, Belfast BT12 6BA, United Kingdom.

Health & Place
|October 6, 2018
PubMed
Summary
This summary is machine-generated.

Agent-based modeling (ABM) can help policymakers manage non-communicable diseases by simulating complex human behaviors. This approach requires addressing challenges in model specification, data acquisition, and best practices for effective implementation.

Keywords:
Agent-based modellingComplex systemsHealth behaviourModelling non-communicable diseasesSpatial modelling

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Area of Science:

  • Public Health
  • Computational Science
  • Behavioral Science

Background:

  • Non-communicable disease management necessitates understanding complex human behavior.
  • Agent-based modeling (ABM) offers a computational approach to analyze complex systems and individual behaviors within environments.
  • Previous research highlights the potential of ABM in public health, with calls for increased utilization.

Purpose of the Study:

  • To explore the application of agent-based modeling in public health for non-communicable disease management.
  • To identify key challenges hindering the adoption of ABM in public health research.
  • To provide practical steps for researchers to overcome these challenges and implement ABM.

Main Methods:

  • Discussion of challenges in agent-based model specification.
  • Examination of data requirements for agent-based models in public health.
  • Presentation of best practices and implementation steps for agent-based modeling.

Main Results:

  • Identified three primary challenges: model specification, data acquisition, and establishing good practices.
  • Outlined a structured approach to assist researchers in developing and implementing agent-based models.
  • Emphasized the need for a whole systems perspective in policy-making for non-communicable diseases.

Conclusions:

  • Agent-based modeling is a valuable tool for understanding complex systems in public health.
  • Addressing challenges in model specification, data, and practices is crucial for successful ABM implementation.
  • The study provides a roadmap for researchers to effectively utilize ABM in public health research for non-communicable disease management.