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Related Concept Videos

Diffusion01:21

Diffusion

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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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Diffusion01:12

Diffusion

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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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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:
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Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

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Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
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Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

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Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
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Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
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Diffusion modeling of COVID-19 under lockdown.

Nicola Serra1, Paola Di Carlo2, Teresa Rea1

  • 1Departments of Public Health, University Federico II of Naples, 80131 Naples, Italy.

Physics of Fluids (Woodbury, N.Y. : 1994)
|April 26, 2021
PubMed
Summary
This summary is machine-generated.

Predicting SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) spread is challenging. A physics-based model shows temperature influences virus diffusion, with higher temperatures potentially reducing spread but increasing mobility.

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Area of Science:

  • Computational physics
  • Epidemiology
  • Virology

Background:

  • Viral immune evasion, particularly by SARS-CoV-2, poses challenges for vaccine development.
  • Predicting the diffusion patterns of coronavirus disease 2019 (COVID-19) is complex due to factors like lockdowns and subsequent waves.
  • Understanding the environmental factors influencing viral spread is crucial for public health strategies.

Purpose of the Study:

  • To develop a physics-based computational model for predicting SARS-CoV-2 diffusion.
  • To investigate the relationship between temperature and viral spread dynamics.
  • To model the fitness landscape of SARS-CoV-2 transmission.

Main Methods:

  • Development of a computational model based on a variant of the bidimensional Ising model (2DIMV).
  • The model operates in a closed system with limited interactions and is conditioned by temperature.
  • Application of the Markov chain Monte Carlo method to analyze simulation results.

Main Results:

  • The 2DIMV model demonstrates that increased temperature correlates with reduced virus diffusion.
  • Higher temperatures were associated with increased mobility within the simulated system.
  • Despite reduced diffusion, increased mobility under higher temperatures paradoxically leads to increased overall virus diffusion.

Conclusions:

  • Temperature is a significant factor influencing SARS-CoV-2 diffusion dynamics.
  • The interplay between temperature, mobility, and diffusion requires further investigation for accurate epidemiological modeling.
  • The physics-based 2DIMV model provides a novel framework for understanding viral spread under varying environmental conditions.