This site is to serve as my note-book and to effectively communicate with my students and collaborators. Every now and then, a blog may be of interest to other researchers or teachers. Views in this blog are my own. All rights of research results and findings on this blog are reserved. See also http://youtube.com/c/hongqin @hongqin
Saturday, November 1, 2014
Cholera
http://cph.osu.edu/people/jtien
Cholera SIWR model
Seasonal variations will be used to further improve the model, modeled directly into infection force.
19th centry sample
http://muttermuseum.org/
Haiti, no recorded history of cholera infection. no immune responses.
Cholera spatial spread, waterways, human movement, cell phone movement (Digicel, Flowminder)
Moran's I to compare cell phone movement and cholera spread. Local movement versus waterways.
Community networks with environmental pathogen movement
patch heterogeneity
weight directed edges in networks
When can disease invade the network? R0 of the network,
Coupled locations
Next generation matrix (second generation matrix, Diekmann, Heesterbeek, Metz 1990, van den Driessche and Watmough 2002.
Transfer matrix V = Transfer out - Transfers in + Decay
Laplacian matrix(from graph theory) can be used model transfer out and in.
i.e. V = L + D
D = diag{\delta_i}
Time scale have to be right
V^-1 as a perturbation problem
Langenhop 1971, Laurent series for perturbed singular matrices
According to Tien, lifespan of cholera were fitted with expoential model in the lab. Later, Tien explained that fresh cholera have high infectious rate, so fitness of cholera bacteria has a characteristic of aging.
Labels:
cholera,
epidemiology,
infection,
meetings
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