Biases in parasite richness estimates arising from coinfection dynamics

31 Jan, 2024·
Dr. July Pilowsky
Dr. July Pilowsky
· 1 min read

Biases in parasite richness estimates arising from coinfection dynamics

July Pilowsky, Amy Sweeny, Greg Albery, Barbara Han


Can coinfection dynamics bias population estimates of parasite richness?

  • The short answer: yes.

Are interactions among parasites, viruses, and bacteria common?

  • The short answer: we don’t know
  • Interactions can be inferred with experimental infections, parasite removal, and longitudinal studies of infection
  • These haven’t been done very often
  • Amy Sweeny will change this, we hope

Conceptual diagram of richness estimates becoming biased when
parasites interact


Research Question

What are we missing when we estimate parasite or viral richness without accounting for coinfection dynamics?


Approach: Individual-based modeling

SI model with pairwise interactions and no demography


Approach: Parameter space explored


Approach: What a single simulation looks like


Does high parasite richness “smooth out” interaction?


Does the strength of interactions matter?


proportion of the population sampled


Interactions between strains are more important


Up Next

  • More simulations, this time with a lower baseline transmission rate

  • A search for any empirical data about C:F ratio and interaction strength in microbial communities

Dr. July Pilowsky
Authors
he / they / she
Computational ecologist using models to understand the natural world.