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Related Concept Videos

Pneumonia V: Nursing management and Prevention01:30

Pneumonia V: Nursing management and Prevention

Nursing management of pneumonia involves promoting airway patency, facilitating rest and conserving energy, encouraging fluid intake, maintaining nutrition, and educating patients.
The nurse must practice strict medical asepsis and adhere to infection control guidelines to minimize healthcare-associated infections.
Enhance airway patency
Position the patient correctly to facilitate drainage of the affected lung segments. Manual or mechanical percussion and vibration can also be employed.
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
Transmission-based Precautions II: Airborne and Protective Environment01:25

Transmission-based Precautions II: Airborne and Protective Environment

Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
Airborne precautions:
Use airborne precautions when treating patients known or suspected to have diseases that spread through the air—for example, tuberculosis or measles. These organisms are present in smaller droplets expelled by an infected person and...
Community Based Intervention01:30

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

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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Related Experiment Video

Updated: Jul 4, 2026

Experimental Human Pneumococcal Carriage
07:47

Experimental Human Pneumococcal Carriage

Published on: February 15, 2013

An individual-based network model to evaluate interventions for controlling pneumococcal transmission.

Diana Karlsson1, Andreas Jansson, Birgitta Henriques Normark

  • 1Molecular Biology, School of Life Sciences, University of Skövde, SE-541 28 Skövde, Sweden. diana.karlsson@his.se

BMC Infectious Diseases
|June 19, 2008
PubMed
Summary

Reducing group sizes in day-care centers can effectively limit the spread of antibiotic-resistant Streptococcus pneumoniae. Computational modeling highlights this strategy

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A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
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A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

Related Experiment Videos

Last Updated: Jul 4, 2026

Experimental Human Pneumococcal Carriage
07:47

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A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
09:17

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

Area of Science:

  • Epidemiology
  • Computational Biology
  • Infectious Disease Modeling

Background:

  • Streptococcus pneumoniae causes significant global morbidity and mortality.
  • Antibiotic-resistant strains pose a growing threat to effective treatment.
  • Understanding long-term pneumococcal spread dynamics is crucial for public health.

Purpose of the Study:

  • To evaluate the efficacy of interventions for controlling pneumococcal transmission.
  • To identify key determinants of pneumococcal spread using computational modeling.
  • To assess candidate control measures through scenario simulations.

Main Methods:

  • Development of a contact network model.
  • Utilizing demographic data from Sweden (mid-2000s).
  • Parameter analysis and scenario simulations to predict transmission dynamics.

Main Results:

  • Model accurately predicted age-related pneumococcal carriage correlations.
  • Day-care center group size emerged as a critical factor in transmission.
  • Scenario simulations yielded consistent and significant findings.

Conclusions:

  • Reducing group sizes in day-care centers is a recommended control strategy.
  • Modeling predictions support targeted interventions for pneumococcal disease control.
  • Computational models offer valuable insights into pathogen epidemiology.