Sentence examples for infected states from inspiring English sources

The second equation is analagous and the third, for duals, describes their infection, re-infection back to singly infected states and clearance.

In the vector host model (1), infected states are I, T, and W and uninfected states are S, R, and V.

The rate at which new infections are created is determined by the matrix F, and the rates of transfer into and out of the class of infected states are represented by the matrix V; these are given by F = ( β s K β p K 0 0 ).

As can be seen, the basic model has 13 different states (4 susceptible states, 8 infected states, and 1 recovered state).

In principle, this methodological framework can readily accommodate more complicated disease dynamics such as immigration, latent infected states, missing data, and vector-communicated diseases, as well as more complicated intervention strategies that allow combined vaccination and quarantine.

Since assuming exponential sojourn times in infected states is a common approximation used in most of mathematical models, we were interested in evaluating the potential bias that such an assumption would introduce at a global scale of an epidemic.

The individuals that are rapidly re-infected will stay longer in an infected state.

Infectious agents might infect agents into exposed state or infected state during their stay in terminal.

Cluster 5 showed a somewhat similar pattern as cluster 6. Clusters 1, 3, and 4 representing an infected state during the course of infection, showed substantially different movement tracks according to different time phases.

Each simulation begins where a single node is put into the infected state and each infected node can infect the nodes in its locality of a single edge according to the adjacency matrix.

The use of four compartments for the infected state makes the distribution of time spent infected more realistic than if a single compartment with a constant rate of recovery was used: the total duration of protection then follows a gamma distribution rather than an exponential distribution [26]; this also allows a simple means of including the effect of superinfection [27].