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Quantifying pathogen exposure variability from surface contacts with force-dependent transfer models.

Baotian Chang1, Shenglan Xiao2, Dongli Li1

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Touch force significantly impacts pathogen transfer rates on surfaces, a factor often ignored in fomite transmission models. Accounting for this variability is crucial for accurate exposure assessments.

Keywords:
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Area of Science:

  • Microbiology
  • Epidemiology
  • Biophysics

Background:

  • Fomite transmission is a key route for pathogen spread.
  • Transfer rates depend on surface properties and touch force.
  • Existing models often overlook touch force variability.

Purpose of the Study:

  • To develop a force-dependent transfer model for fomite transmission.
  • To quantify transfer rates across various surfaces and forces.
  • To assess the impact of touch force variability on exposure estimations.

Main Methods:

  • Experimental quantification of transfer rates under varying forces.
  • Collection of touch force data across 15 office surfaces using computer vision.
  • Pathogen simulations comparing fixed vs. variable transfer rates.

Main Results:

  • Transfer rates vary significantly with surface material and touch force.
  • Touch force data captured 2584 surface contacts with 93.4% accuracy.
  • Ignoring force variability led to exposure misestimations from 86.0% to 207.7%.

Conclusions:

  • Touch force is physiologically relevant and essential for accurate fomite transmission modeling.
  • Incorporating touch force variability improves the understanding of exposure heterogeneity.
  • This study provides a more realistic approach to modeling pathogen spread via fomites.