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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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3.5.4 Effect of social distancing and the use of the face mask

The parameters and are the rate of social distancing and the use of the face mask , the following graphs show us the impact of this parameter on the dynamics of the disease propagation.

Figure 3.9: Evolution of social distancing and face mask use over a 180-day period for different values ( = 0,0 = 0; = 0,0 = 0.2; = 0,0 = 0.3 ).

Here, in figure (3.9) we study the influence of the respect of the barrier measures (mask wearing and social distancing) on the compartment of detected infects. We notice that for a period going from April 12 to October 8, 2021 that within a population that does not respect the distancing ( = 0) the detected infects decreases as the rate of mask wearing increases.

3.5. SHORT-TERM PREDICTIONS 39

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

Figure 3.10: Evolution of social distancing and face mask use over a 180-day period for different values ( = 0,0 = 0; = 0,0 = 0.2; = 0,0 = 0.3 ).

In this figure (3.10) we study the influence of the respect of the barrier measures (wearing a mask and social distancing) on the compartment of undetected infects. We notice that for a period going from April 12 to October 8, that within a population that does not respect the distancing (ø = 0) the undetected infects decreases as the rate of wearing a mask increases.

3.5. SHORT-TERM PREDICTIONS 40

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

Figure 3.11: Evolution of social distancing and face mask use over a period of 180 days for different values ( = 0,0 = 0.2; = 0.1,0 = 0.3; = 0.2,0 = 0.5 ).

La figure (3.11) influence of the respect of the barrier measures (wearing a mask and social distancing) on the compartment of detected infects. We can see that for a period from April 12 to October 8, 2021 in a population that respects less social distancing (ø = 0.1) and the wearing of a face mask (è = 0.3) the detected infects decreases when the rate of wearing a mask and social distancing increases.

3.5. SHORT-TERM PREDICTIONS 41

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

Figure 3.12: Evolution of social distancing and face mask use over a 180-day period for different values ( = 0,0 = 0.2; = 0.1,0 = 0.3; = 0.2,0 = 0.5 ).

Figure (3.12) shows the influence of the respect of the barrier measures (wearing a mask and social distancing) on the compartment of undetected infects. For a period from April 12 to October 8, 2021, in a population that respects less social distancing (ø = 0.1) and face masking (è = 0.3), the undetected infects decreases as the rate of mask wearing and social distancing increases.

3.5. SHORT-TERM PREDICTIONS 42

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

Figure 3.13: Evolution of social distancing and face mask use over a 180-day period for different values ( = 0.2,0 = 0; = 0.3,0 = 0.2; = 0.5,0 = 0.3 ).

Figure (3.13) describes the influence of the respect of the barrier measures (wearing a mask and social distancing) on the compartment of detected infects. This dynamic shows that for a period going from April 12 to October 8, 2021 that within a population that respects more social distancing (ø = 0.5) and the wearing of a face mask (è = 0.3) the detected infects decreases very quickly as a function of time when the rate of wearing a mask and social distancing are high.

3.5. SHORT-TERM PREDICTIONS 43

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

Figure 3.14: Evolution of social distancing and face mask use over a 180-day period for different values ( = 0.2,0 = 0; = 0.3,0 = 0.2; = 0.5,0 = 0.3 ).

Figure (3.14) shows the different variations in the influence of the respect of the barrier measures (wearing a mask and social distancing) on the compartment of undetected infections. We see that for a period from April 12 to October 8, 2021, in a population that respects more social distancing (ø = 0.5) and wearing a face mask (è = 0.3), the number of undetected infects decreases very quickly as a function of time when the rate of wearing a mask and social distancing are high.

3.6. DISCUSSION 44

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