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Dynamics of covid-19 pandemic in cameroon : impacts of social distanciation and face mask wearing


par Steinlen Donat Dony YAMENI
Université de Yaoundé I - Master of Science 2021
  

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3.5 Short-term predictions

3.5.1 Effect of quarantine of undetected individuals on the dynamics of disease transmission

The parameter a is the rate of non-detects in quarantine, the following graphs show us the impact of this parameter on the dynamics of disease spread.

3.5. SHORT-TERM PREDICTIONS 32

Master's thesis II * Molecular Atomic Physics and Biophysics Laboratory-UYI * YAMENI STEINLEN DONAT D (c)2021

Figure 3.3: Evolution of quarantine rate of undetected contagious over a period of 180 days for different values ( á = 0.02, á = 0.04, á = 0.1 ).

Figure (3.3), shows the evolution of detected infected persons for the period from April 12 to October 8, 2021. An increase in the quarantine rate of undetected infectious of symptomatic humans has led to a decrease in the number of active cases.

3.5. SHORT-TERM PREDICTIONS 33

Master's thesis II * Molecular Atomic Physics and Biophysics Laboratory-UYI * YAMENI STEINLEN DONAT D (c)2021

Figure 3.4: Evolution of quarantine rate of undetected contagious over a period of 180 days for different values ( á = 0.02, á = 0.04, á = 0.1 ).

Figure (3.4) shows that for the period from April 12 to October 8, 2021. An increase in the quarantine rate of undetected contagious individuals of the disease which leads to a decrease in the number of undetected individual cases.

3.5.2 Effect of the proportion p on the dynamics of disease transmission

. The parameter p is the fraction exposed that becomes undetectable infectious, the following

graphs show us the impact of this parameter on the dynamics of propagation of the disease.

3.5. SHORT-TERM PREDICTIONS 34

Master's thesis II * Molecular Atomic Physics and Biophysics Laboratory-UYI * YAMENI STEINLEN DONAT D (c)2021

Figure 3.5: Evolution of Fraction of exposures that become infectious undetected over a period of 180 days for different values ( p = 0.95, p = 0.65, p = 0.25 ).

In figure (3.5), we observe a decrease in the fraction exposed that become undetectable infectious of the disease which leads to a decrease in the number of active cases, for the period from April 12 to October 08, 2021, any decrease in this rate also leads to a drop in the number of patients.

3.5. SHORT-TERM PREDICTIONS 35

Master's thesis II * Molecular Atomic Physics and Biophysics Laboratory-UYI * YAMENI STEINLEN DONAT D (c)2021

Figure 3.6: Evolution of Fraction of exposures that become infectious undetected over a period of 180 days for different values ( p = 0.95, p = 0.65, p = 0.25 ).

Figure (3.6) shows that for the period from 12 April to 08 October 2021. Any decrease in the fraction of exposed individuals who become undetectable infectious of the disease that leads to a rapid decline that tends to cancel out as a function of time, the number of undetected individual cases.

3.5. SHORT-TERM PREDICTIONS 36

Master's thesis II * Molecular Atomic Physics and Biophysics Laboratory-UYI * YAMENI STEINLEN DONAT D (c)2021

3.5. SHORT-TERM PREDICTIONS 37

Master's thesis II * Molecular Atomic Physics and Biophysics Laboratory-UYI * YAMENI STEINLEN DONAT D (c)2021

3.5. SHORT-TERM PREDICTIONS 38

3.5.3 Effect of the quarantine of detected individuals on the dynamics of disease transmission

The parameter c is the rate of quarantine of infectious individuals, the following graphs show us the impact of this parameter on the dynamics of the disease propagation.

Figure 3.7: Evolution of the quarantine rate of contagious diseases detected over a period of 180 days for different values ( € = 0.09, € = 0.02, € = 0.1 ).

Figure (3.7) depicting for the period from April 12 to October 08, 2021. Any increase in the rate of quarantine of infectious individuals leads to a decrease in the number of active cases of the sick.

Figure 3.8: Evolution of the quarantine rate of contagious diseases detected over a period of 180 days for different values ( € = 0.09, € = 0.02, € = 0.1 ).

Figure (3.8) shows that for the period from April 12 to October 8, 2021. An increase in the rate of quarantine of infectious individuals leads to a slight decrease in the number of undetected symptomatic cases of the sick.

Master's thesis II * Molecular Atomic Physics and Biophysics Laboratory-UYI * YAMENI STEINLEN DONAT D (c)2021

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