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Susceptible host dynamics explain pathogen resilience to perturbations.

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Area of Science:

  • Epidemiology
  • Infectious Disease Dynamics
  • Public Health

Background:

  • COVID-19 interventions disrupted transmission of other pathogens.
  • The return dynamics of pathogens post-intervention remain unclear.
  • Understanding pathogen resilience is crucial for predicting future outbreaks.

Purpose of the Study:

  • To develop a framework for estimating pathogen resilience.
  • To quantify the resilience of common respiratory pathogens.
  • To predict the return of pathogens to pre-pandemic dynamics.

Main Methods:

  • Developed a framework to estimate pathogen resilience based on recovery speed.
  • Analyzed time series data from Hong Kong, Canada, Korea, and the US.
  • Quantified resilience and predicted return times for various pathogens.

Main Results:

  • Common respiratory pathogens demonstrated higher resilience than vaccine-preventable infections like measles.
  • Faster susceptible population replenishment was identified as a key factor in pathogen resilience.
  • Deviations from predictions indicated long-term impacts of pandemic interventions.

Conclusions:

  • Pathogen resilience is significantly influenced by susceptible population dynamics.
  • Common respiratory pathogens exhibit greater persistence compared to measles.
  • The framework provides insights into pathogen behavior after major perturbations.