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epidemiology Epidemiology is the study and analysis of the distribution (who, when, and where), patterns and determinants of health and disease conditions in a defined population. It is a cornerstone of public health, and shapes policy decisions and evide ...
, the next-generation matrix is used to derive the
basic reproduction number In epidemiology, the basic reproduction number, or basic reproductive number (sometimes called basic reproduction ratio or basic reproductive rate), denoted R_0 (pronounced ''R nought'' or ''R zero''), of an infection is the expected number of ...
, for a compartmental model of the spread of
infectious disease An infection is the invasion of tissues by pathogens, their multiplication, and the reaction of host tissues to the infectious agent and the toxins they produce. An infectious disease, also known as a transmissible disease or communicable di ...
s. In population dynamics it is used to compute the basic reproduction number for structured population models. It is also used in multi-type branching models for analogous computations. The method to compute the basic reproduction ratio using the next-generation matrix is given by Diekmann ''et al.'' (1990) and van den Driessche and Watmough (2002). To calculate the basic reproduction number by using a next-generation matrix, the whole population is divided into n compartments in which there are m infected compartments. Let x_i, i=1,2,3,\ldots,m be the numbers of infected individuals in the i^ infected compartment at time ''t''. Now, the
epidemic model Compartmental models are a very general modelling technique. They are often applied to the mathematical modelling of infectious diseases. The population is assigned to compartments with labels – for example, S, I, or R, (Susceptible, Infectious, ...
is : \frac= F_i (x)-V_i(x), where V_i(x)= ^-_i(x)-V^+_i(x) In the above equations, F_i(x) represents the rate of appearance of new infections in compartment i . V^+_i represents the rate of transfer of individuals into compartment i by all other means, and V^-_i (x) represents the rate of transfer of individuals out of compartment i . The above model can also be written as :\frac= F(x)-V(x) where : F(x) = \begin F_1(x), & F_2(x), & \ldots, & F_m(x) \end^T and : V(x) = \begin V_1(x), & V_2 (x), & \ldots, & V_m(x) \end^T. Let x_0 be the disease-free equilibrium. The values of the parts of the Jacobian matrix F(x) and V(x) are: : DF(x_0) = \begin F & 0 \\ 0 & 0 \end and : DV(x_0) = \begin V & 0 \\ J_3 & J_4 \end respectively. Here, F and V are ''m'' × ''m'' matrices, defined as F= \frac(x_0) and V=\frac(x_0) . Now, the matrix FV^ is known as the next-generation matrix. The basic reproduction number of the model is then given by the
eigenvalue In linear algebra, an eigenvector () or characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it. The corresponding eigenvalue, often denoted ...
of FV^ with the largest absolute value (the
spectral radius In mathematics, the spectral radius of a square matrix is the maximum of the absolute values of its eigenvalues. More generally, the spectral radius of a bounded linear operator is the supremum of the absolute values of the elements of its spectru ...
of FV^. Next generation matrices can be computationally evaluated from observational data, which is often the most productive approach where there are large numbers of compartments.


See also

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Mathematical modelling of infectious disease Mathematical models can project how infectious diseases progress to show the likely outcome of an epidemic (including in plants) and help inform public health and plant health interventions. Models use basic assumptions or collected statistics alo ...


References


Sources

* * * {{cite journal , first1=J. M. , last1=Heffernan , first2=R. J. , last2=Smith , first3=L. M. , last3=Wahl , title=Perspectives on the basic reproductive ratio , journal=J. R. Soc. Interface , year=2005 , volume= 2, issue= 4, pages= 281–93, doi= 10.1098/rsif.2005.0042, pmid=16849186 , pmc=1578275 Matrices Epidemiology