Data from: Opportunities and challenges of Integral Projection Models for modeling host-parasite dynamics
Metcalf, C. Jessica E., Princeton University
Graham, Andrea L., Princeton University
Martinez-Bakker, Micaela, University of Michigan-Ann Arbor
Childs, Dylan Z., University of Sheffield
Published Sep 25, 2016 on Dryad.
Cite this dataset
Metcalf, C. Jessica E.; Graham, Andrea L.; Martinez-Bakker, Micaela; Childs, Dylan Z. (2016). Data from: Opportunities and challenges of Integral Projection Models for modeling host-parasite dynamics [Dataset]. Dryad. https://doi.org/10.5061/dryad.07mc1
Epidemiological dynamics are shaped by and may in turn shape host demography. These feedbacks can result in hard to predict patterns of disease incidence. Mathematical models that integrate infection and demography are consequently a key tool for informing expectations for disease burden and identifying effective measures for control. A major challenge is capturing the details of infection within individuals and quantifying their downstream impacts to understand population-scale outcomes. For example, parasite loads and antibody titres may vary over the course of an infection and contribute to differences in transmission at the scale of the population. To date, to capture these subtleties, models have mostly relied on complex mechanistic frameworks, discrete categorization and/or agent-based approaches. Integral Projection Models (IPMs) allow variance in individual trajectories of quantitative traits and their population-level outcomes to be captured in ways that directly reflect statistical models of trait–fate relationships. Given increasing data availability, and advances in modelling, there is considerable potential for extending this framework to traits of relevance for infectious disease dynamics. Here, we provide an overview of host and parasite natural history contexts where IPMs could strengthen inference of population dynamics, with examples of host species ranging from mice to sheep to humans, and parasites ranging from viruses to worms. We discuss models of both parasite and host traits, provide two case studies and conclude by reviewing potential for both ecological and evolutionary research.
Time-series of infected red blood cells for different Plasmodium chabaudi chabaudi clones in mice
Time-series of infected red blood cells (×10−2 μl–1) for different Plasmodium chabaudi chabaudi clones in mice (column headings 5 onwards show days). Two treatments (IgG and hu-IgG) corresponding to the relevant control groups for different experimental designs are distinguished but do not result in differences in these time-courses. Original papers in which the data were first reported, and in which controls were compared with immune-depleted hosts, are shown in the first column.