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In some epidemics, mortality may be as high as 10 to 16 percent, but many people have attacks so mild that they are not recognized.
In the real world, some epidemics, such as malaria, dengue, fever, gonorrhea and bacterial infections, may have a different ability to transmit the infections in different ages.
Some epidemics may also have had high morbidity with low mortality such as the A/USSR/90/77 H1N1) strains, which re-emerged in November 1977.
Some epidemics of encephalitis in England are undetected in routine surveillance systems and undiagnosed in hospital episode statistics.
Thus, several studies showed that some epidemics can be controlled by such measures [ 30- 34], although extremely persistent strains may be very difficult to control.
While in some epidemics infection is mild and rarely fatal, in others it is characterized by wide extension of the pseudomembrane and tends to attack the larynx.
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"Is there some epidemic?
Discrete models constructed by the discretization of continuous models have been used to describe some epidemic models.
In recent years, many treatment functions have been introduced by several authors to study some epidemic models under different conditions (see, for instance, [12, 14, 27, 31, 35 38]).
By considering the disease spreading on a human network caused by an infection vector, Cooke and Busenberg [22, 23] have addressed some epidemic compartment models.
Moreover, it has recently been noted [4] that some epidemic models based on dynamics with first-order derivative were unable to reproduce the statistical data collected in a real outbreak of some disease with enough degree of accuracy.
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