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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
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Environmentally transmitted parasites: Host-jumping in a heterogeneous environment
Thomas Caraco1, Carrie A Cizauskas2, Ing-Nang Wang1
1Department of Biological Sciences, University at Albany, Albany, NY 12222, USA.
Journal of Theoretical Biology
|February 28, 2016
Summary
Larger reservoir-host groups increase parasite density variance, slowing parasite transmission to novel hosts. This research models parasite transmission dynamics and host-jump events.
Area of Science:
- Ecology
- Epidemiology
- Parasitology
Background:
- Infectious diseases spread through contaminated environments.
- Understanding parasite transmission is crucial for disease control.
Purpose of the Study:
- To model the waiting time for initial parasite infection (host-jump) in novel hosts.
- To investigate how reservoir-host and novel-host group sizes influence transmission.
Main Methods:
- Stochastic modeling of host arrival, parasite deposition, and infection.
- Analysis of parasite density and variance in resource patches.
- Derivation of expected waiting times for host-jumps.
Main Results:
- Mean parasite density at stationarity is independent of reservoir-host group size.
- Parasite density variance increases with reservoir-host group size.
- Larger reservoir groups and novel-host groups increase the waiting time for host-jumps.
Conclusions:
- Reservoir-host group size impacts parasite transmission dynamics by altering variance, not mean density.
- Host-jump events are delayed by larger reservoir groups and novel-host groups.
- Non-uniform resource patch use and reduced spatial overlap between species further increase host-jump waiting times.
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