Characterising interactions between co-infecting parasites using age-intensity profiles.

Area of Science:

• Parasitology
• Ecology
• Veterinary Medicine

Background:

• Interactions between co-infecting parasites can significantly influence disease transmission dynamics.
• Assessing whether co-infection benefits or harms a parasite, and the underlying mechanisms (host susceptibility or parasite clearance), is challenging.
• Understanding these interactions is crucial for predicting disease spread and developing effective control strategies.

Purpose of the Study:

• To demonstrate the utility of host age-parasite intensity curves for assessing co-infecting parasite interactions.
• To develop and test a model for predicting the impact of co-infections.
• To identify specific beneficial interactions between helminth parasites in white-tailed deer.

Main Methods:

• Development of a predictive model for host age-parasite intensity relationships.
• Application of the model to data from helminth parasites infecting white-tailed deer (Odocoileus virginianus).
• Analysis of age-intensity curves to infer mechanisms of interaction, such as changes in host susceptibility or parasite clearance rates.

Main Results:

• Identification of three beneficial interactions among five studied helminth species.
• Evidence supporting both host susceptibility and parasite clearance as mechanisms mediating these beneficial interactions.
• Demonstration that age-intensity data can reveal the nature and strength of parasite co-infections.

Conclusions:

• Host age-parasite intensity curves provide a novel and effective tool for analyzing parasite co-infections.
• This approach can elucidate the mechanisms by which co-infections influence parasite dynamics.
• The findings have implications for understanding host-parasite ecology and disease transmission in wildlife populations.