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Section 2 is devoted to introducing the basic reproduction number of epidemic model (1.3) by using the next infection operator and corresponding eigenvalue problem.
In order to introduce the basic reproduction number for the diffusive epidemic model (2.1), as a first step, we need to define the next infection operator for problem (2.1).
The basic reproduction number (R_{0} ^{D}), which serves as a threshold parameter that predicts whether the coexistence will exist or not, is introduced by the next infection operator and the related eigenvalue problems.
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The difference between first generation index and basic reproduction number lies on the fact that the former is determined only by the first generation of infection while the latter emerges after the underlying next generation operator is applied for a sufficiently large number of generations.
The continuous and positive operator L, called the next generation operator, represents the density distribution of the accumulative new infections at location x.
His next radio operator was Oberleutnant Freymann, the signals operator of II.
If the new level exceeds the maximum intensity of 5, it selects the next neighborhood operator with the lowest intensity κ = 1.
If the maximum value for the intensity is reached, the next neighborhood operator with intensity level κ = 1 is used (sequence: move → swap → chain → zero split).
In order to mimic the initial spread of a newly emerging pathogen in Belgium, we used the next generation operator as defined in (3).
The next operator would add the buttons and buttonholes.
The terms of the franchise will encourage the next operator to retain the current brand.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com