Malaria Connectivity

Parasite Dispersal in Metapopulations

Author
Affiliation

University of Washington


Connectivity describes parasite dispersal between infectious bites. If we traced a parasite gene backwards in time, through a sequence of bites in alternating mosquito and human hosts, the parasites would move around. We need in mosquitoes between one pair of bites, and they would move in humans between the other. Here, we develop formulas that describe connectivity in meta-population models.


Previous: VC Matrix & HTC matrix & A Parasite Generation


We want to be able to describe malaria dispersal among patches in meta-population models. Ideally, we would like to describe malaria connectivity in simple and intuitive terms. In a meta-population the different formulas start at different points in the parasite generation matrices (see the vignette).



To measure connectivity in populations, we want to look at bulk flows, not per-capita measures. To get started, we look at connectivity for spatial models without a seasonal component:

\[[D] \cdot [V] \cdot \left[\left<W \kappa \right>\right]\]

\[[V] \cdot [D] \cdot \left[\left< fqZ \right>\right]\]

The matrices we generate are interpreted as directed graphs with a self-loop. The on diagonal elements are the number of infections arising in each patch that trace back to every other patch in the previous generation.