Covid-19-vaccination - Revision history

Laura: /* Simulation with further measures */

2022-02-01T22:08:40Z

‎Simulation with further measures

Laura: /* Results */

2022-02-01T22:08:08Z

‎Results

Laura: /* Results */

2022-02-01T22:07:49Z

‎Results

Laura: /* Vaccination rate: 100% */

2022-02-01T22:07:01Z

‎Vaccination rate: 100%

Laura: /* Conclusion */

2022-02-01T21:41:17Z

‎Conclusion

Laura: /* Conclusion */

2022-02-01T21:32:13Z

‎Conclusion

Laura: /* Simulation with further measures */

2022-02-01T21:25:50Z

‎Simulation with further measures

Laura: /* Simulation with further measures */

2022-02-01T21:25:41Z

‎Simulation with further measures

Laura: /* Simulation with further measures */

2022-02-01T21:24:04Z

‎Simulation with further measures

Laura: /* Simulation with further measures */

2022-02-01T21:22:59Z

‎Simulation with further measures

@@ Line 122: / Line 122: @@
-===Simulation with further measures===
+===Simulations with further measures===
 For the simulations with measures, a vaccination rate of 50% is assumed.
 Subsequently, the individual measures masks, quarantine, and social distancing were applied. The results show that the measures can again reduce the infection rates. Especially the mask is an effective measure (plot 1). This prevents a steep rise in infections and thus significantly reduces infections. This also shortened the duration of the pandemic. However, it should be taken into account that the simulation assumed the best case scenario. Another measure that works is quarantine. An increase in the quarantine rate leads to a flatter course of the infection curve (plot 2). Social distancing, on the other hand, reduces infection rates only slightly in this simulation and is thus the weakest of all measures (plot 3). The measures are equally successful for both vaccinated and unvaccinated.

← Older revision		Revision as of 22:08, 1 February 2022
Line 119:		Line 119:
	[[File:Results vaccinationn-rate-100%.png\|500px\|thumb\|right\|Spread of COVID-19 infection at 100% vaccination rate]]		[[File:Results vaccinationn-rate-100%.png\|500px\|thumb\|right\|Spread of COVID-19 infection at 100% vaccination rate]]
	The results are similar to the simulation with a vaccination rate of 90%, except that here the total number of infected persons corresponds to the infection rate of the vaccinated persons. If we compare the number of infected people over time with the number of infected people with a low vaccination rate, we see that the course is much flatter and that there is no steep increase in the number of infected people at the beginning of the pandemic. This means that the virus spreads more slowly through vaccinated people, but this leads to a longer-lasting pandemic. There are 5 deaths.		The results are similar to the simulation with a vaccination rate of 90%, except that here the total number of infected persons corresponds to the infection rate of the vaccinated persons. If we compare the number of infected people over time with the number of infected people with a low vaccination rate, we see that the course is much flatter and that there is no steep increase in the number of infected people at the beginning of the pandemic. This means that the virus spreads more slowly through vaccinated people, but this leads to a longer-lasting pandemic. There are 5 deaths.
−

@@ Line 118: / Line 118: @@
 [[File:Results vaccinationn-rate-100%.png|500px|thumb|right|Spread of COVID-19 infection at 100% vaccination rate]]
-The results are similar to the simulation with a vaccination rate of 90%, except that here the total number of infected persons corresponds to the infection rate of the vaccinated persons. If we compare the number of infected people over time with the number of infected people with a low vaccination rate, we see that the course is much flatter and that there is no steep increase in the number of infected people at the beginning of the pandemic. This means that the virus spreads more slowly through vaccinated people, but this leads to a longer-lasting pandemic. there are 5 deaths.
+The results are similar to the simulation with a vaccination rate of 90%, except that here the total number of infected persons corresponds to the infection rate of the vaccinated persons. If we compare the number of infected people over time with the number of infected people with a low vaccination rate, we see that the course is much flatter and that there is no steep increase in the number of infected people at the beginning of the pandemic. This means that the virus spreads more slowly through vaccinated people, but this leads to a longer-lasting pandemic. There are 5 deaths.
 ===Simulation with further measures===

@@ Line 118: / Line 118: @@
 [[File:Results vaccinationn-rate-100%.png|500px|thumb|right|Spread of COVID-19 infection at 100% vaccination rate]]
-The results are similar to the simulation with a vaccination rate of 90%, except that here the total number of infected persons corresponds to the infection rate of the vaccinated persons. If we compare the number of infected people over time with the number of infected people with a low vaccination rate, we see that the course is much flatter and that there is no steep increase in the number of infected people at the beginning of the pandemic. This means that the virus spreads more slowly through vaccinated people, but this leads to a longer-lasting pandemic.
+The results are similar to the simulation with a vaccination rate of 90%, except that here the total number of infected persons corresponds to the infection rate of the vaccinated persons. If we compare the number of infected people over time with the number of infected people with a low vaccination rate, we see that the course is much flatter and that there is no steep increase in the number of infected people at the beginning of the pandemic. This means that the virus spreads more slowly through vaccinated people, but this leads to a longer-lasting pandemic. there are 5 deaths.
 ===Simulation with further measures===

@@ Line 131: / Line 131: @@
 =Conclusion=
-As expected, the results show that vaccination against COVID-19 has a positive impact on the spread of the virus. Similarly, the different vaccination rates affect the pandemic in different ways. Although vaccination prolongs the duration of the pandemic, fewer people become infected with the virus during it, even at low vaccination rates. Among the uninfected at the end of the pandemic, there are only vaccinated people. Conversely, this means that unvaccinated individuals have a 100% probability of becoming infected with COVID-19 during the pandemic.
+As expected, the results show that vaccination against COVID-19 has a positive impact on the spread of the virus. Similarly, the different vaccination rates affect the pandemic in different ways. Although vaccination prolongs the duration of the pandemic, fewer people become infected with the virus during it, even at low vaccination rates. Among the uninfected at the end of the pandemic, there are only vaccinated people. Conversely, this means that unvaccinated individuals have a 100% probability of becoming infected with COVID-19 during the pandemic in this model.
-The infection rate among vaccinated individuals and unvaccinated individuals follows a similar trajectory regardless of vaccination coverage. The trajectory of total infection rates approaches either the infection rate among vaccinated individuals or unvaccinated individuals, depending on the vaccination rate. If the vaccination rate is low, the COVID-19 virus spreads rapidly at the beginning of the pandemic, meaning that infection numbers increase rapidly and decrease as the pandemic progresses. The higher the vaccination rate, the slower the virus spreads, resulting in a flat curve of infection numbers. As a result, the number of infections is significantly lower and relatively constant at the beginning. Although despite the high vaccination rate, over 90% still become infected during the pandemic, vaccination avoids a rapid spread of the virus and thus extremely high infection numbers. This can be helpful, for example, concerning the capacity of hospitals and intensive care units, as they do not have to care for a large number of people at once and thus reach their limits. In addition, other measures, such as masks or quarantine, help to further contain the virus. For example, the quarantine rate can be increased by regular COVID-19 testing. In addition, the risk of infection depends on the environment and COVID-19 variants. By adjusting the infection risks, the simulation can be run again with different infection probabilities and compared.
+The infection rate among vaccinated individuals and unvaccinated individuals behaves similar regardless of vaccination coverage. The course of total infection rates approaches either the infection rate among vaccinated individuals or unvaccinated individuals, depending on the vaccination rate. If the vaccination rate is low, the COVID-19 virus spreads quickly at the beginning of the pandemic, meaning that infection numbers increase rapidly and decrease as the pandemic progresses. The higher the vaccination rate, the slower the virus spreads, resulting in a flat curve of infection numbers. As a result, the number of infections is significantly lower and relatively constant at the beginning. Although despite the high vaccination rate, over 90% still become infected during the pandemic, vaccination avoids a rapid spread of the virus and thus extremely high infection numbers. This can be helpful, for example, concerning the capacity of hospitals and intensive care units, as they do not have to care for a large number of people at once and thus reach their limits. In addition, other measures, such as masks or quarantine, help to further contain the virus. For example, the quarantine rate can be increased by regular COVID-19 testing. In addition, the risk of infection depends on the environment and COVID-19 variants. By adjusting the infection risks, the simulation can be run again with different infection probabilities and compared.
 =Sources=