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Causality in Epidemiology

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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...
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Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Use of the EpiAirway Model for Characterizing Long-term Host-pathogen Interactions
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Coevolutionary dynamics of host-pathogen interaction with density-dependent mortality.

Yantao Yang1,2, Chaojing Ma1, Jian Zu3

  • 1School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, PR China.

Journal of Mathematical Biology
|July 25, 2022
PubMed
Summary

Host and pathogen traits evolve dynamically, influenced by interaction strength and mortality rates. Outcomes range from stable strategies to periodic evolution and branching, impacting population structures.

Keywords:
Adaptive dynamicsCoevolutionEvolutionary branchingEvolutionary cyclingHost-pathogen interaction

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Area of Science:

  • Evolutionary Biology
  • Mathematical Biology
  • Ecology

Background:

  • Host-pathogen interactions are central to evolutionary dynamics.
  • Adaptive evolution of host resistance and pathogen virulence involves trade-offs.
  • Density-dependent mortality influences population dynamics.

Purpose of the Study:

  • To investigate the coevolutionary dynamics between hosts and pathogens.
  • To explore how trade-offs and asymmetric interactions shape evolutionary outcomes.
  • To analyze the conditions leading to evolutionary branching and its consequences.

Main Methods:

  • Utilized a susceptible-infected population model with density-dependent mortality.
  • Employed adaptive dynamics and numerical simulations.
  • Examined coevolutionary dynamics in two-host-one-pathogen and one-host-two-pathogen systems.

Main Results:

  • Coevolutionary outcomes depend on interaction asymmetry, trade-off curvature, and mortality intensity.
  • Weak interactions/strong density-dependence favor stable strategies; stronger interactions lead to periodic evolution.
  • Varying trade-off intensities and interaction strengths can trigger evolutionary branching in hosts or pathogens first.
  • Early host resistance branching results in dimorphic hosts; early pathogen virulence branching can lead to dimorphic pathogens.

Conclusions:

  • Host-pathogen coevolution is complex, with outcomes sensitive to ecological and evolutionary parameters.
  • Trade-offs and interaction strengths are critical drivers of evolutionary stability and diversification.
  • Evolutionary branching can lead to significant shifts in population genetic structure.