General Behavior of Infections - Revision history

Xvism00: /* How does it work? */

2014-01-15T20:37:12Z

‎How does it work?

Xvism00: /* How does it work? */

2014-01-15T20:36:51Z

‎How does it work?

Xvism00: /* How does it work? */

2014-01-15T20:34:01Z

‎How does it work?

Xvism00: /* How does it work? */

2014-01-15T20:31:55Z

‎How does it work?

Xvism00: /* How does it work? */

2014-01-15T20:29:29Z

‎How does it work?

Xvism00: /* How does it work? */

2014-01-15T20:27:43Z

‎How does it work?

Xvism00: /* How does it work? */

2014-01-15T20:27:27Z

‎How does it work?

Xvism00: /* Conclusion */

2014-01-15T20:20:58Z

‎Conclusion

Xvism00: /* Conclusion */

2014-01-15T20:20:40Z

‎Conclusion

Xvism00: /* Conclusion */

2014-01-15T20:18:05Z

‎Conclusion

@@ Line 61: / Line 61: @@
 *  will - (number) - how often will agent go out for a trip. The lower the more often he will go out.
 <div>
 [[Image:Obr_plocha1.jpg|center|thumb|400px|Space]]
 This is example, how does the space created looks like. Cities are grey and have a random size. Villages are white-grey. Green is country side. At start, people are concentrated in the cities. Even throughout the simulation people concentrate in the cities despite venturing occasionally out.

@@ Line 61: / Line 61: @@
 *  will - (number) - how often will agent go out for a trip. The lower the more often he will go out.
 <div>
-[[Image:Obr_plocha.jpg|Obr_plocha.jpg]]
+[[Image:Obr_plocha1.jpg|center|thumb|400px|Space]]
 This is example, how does the space created looks like. Cities are grey and have a random size. Villages are white-grey. Green is country side. At start, people are concentrated in the cities. Even throughout the simulation people concentrate in the cities despite venturing occasionally out.
 <div>

@@ Line 61: / Line 61: @@
 *  will - (number) - how often will agent go out for a trip. The lower the more often he will go out.
 <div>
-[[Image:Obr_plocha.jpg|center|thumb|400px|Emerging clusters of plants during the simulation.]]
+[[Image:Obr_plocha.jpg|Obr_plocha.jpg]]
 This is example, how does the space created looks like. Cities are grey and have a random size. Villages are white-grey. Green is country side. At start, people are concentrated in the cities. Even throughout the simulation people concentrate in the cities despite venturing occasionally out.
 <div>

@@ Line 61: / Line 61: @@
 *  will - (number) - how often will agent go out for a trip. The lower the more often he will go out.
 <div>
-[[File:Obr_plocha.jpg]]
+[[Image:Obr_plocha.jpg|center|thumb|400px|Emerging clusters of plants during the simulation.]]
 This is example, how does the space created looks like. Cities are grey and have a random size. Villages are white-grey. Green is country side. At start, people are concentrated in the cities. Even throughout the simulation people concentrate in the cities despite venturing occasionally out.
 <div>

@@ Line 62: / Line 62: @@
 <div>
 [[File:Obr_plocha.jpg]]
 <div>
 Aside from those values, agents also change color accordingly to they´re current status. White is not infected, cyan if infected but still not contagious, yellow when the incubation period cease and he became contagious and red, when the disease manifest itself. Number of agents is set via user interface. There is also global variable, which is chance to infect.

@@ Line 148: / Line 148: @@
 *The chance of getting cured is not as important, as it may seem. While it is of course very important, tripling the value does not do much in terms of lowering number of deceased. Why is that? Since disease can be cured only when it manifest itself, so that person know, he should start treating himself, it could leave relatively small time window for him, to get cured. Sometimes, symptoms manifested themselves few ticks before he dies, so small increment in chance of getting cure is not having that much of an impact. On the other hand, chance of getting cured is essential in number of people, who are infected. The higher the number, the lower the number of infected people.
 *Spreading of disease is relatively predictable after certain time, when it stabilizes.
-*Given enough time, few disease would be able to actually infect everyone, but none would be able to kill everyone unless set at extreme values.
+*Given enough time, few diseases would be able to actually infect everyone, but none would be able to kill everyone unless set at extreme values.
 =Files=
 [[Media:GDV.zip]]
 [[Media:Results_of_runs.xlsx]]

@@ Line 144: / Line 144: @@
 =Conclusion=
-What is there to conclude? The amount of people shows slightly bigger extremes in values, like we can see it second batch. It seem, that those extremes are due to the lower number of people. Also, not surprisingly, if we want to spread disease, the bigger the chance to catch it, the better (for the disease, not for the person who catch it). The worst situation is inside and near the cities, where there is bigger concentration of people on the same size of land, than in villages or country side.
+What is there to conclude?
-The chance of getting cured is not as important, as it may seem. While it is of course very important, tripling the value does not do much in terms of lowering number of deceased. Why is that? Since disease can be cured only when it manifest itself, so that person know, he should start treating himself, it could leave relatively small time window for him, to get cured. Sometimes, symptoms manifested themselves few ticks before he dies, so small increment in chance of getting cure is not having that much of an impact. On the other hand, chance of getting cured is essential in number of people, who are infected. The higher the number, the lower the number of infected people.
+*The amount of people shows slightly bigger extremes in values, like we can see it second batch. It seem, that those extremes are due to the lower number of people. Also, not surprisingly, if we want to spread disease, the bigger the chance to catch it, the better (for the disease, not for the person who catch it). The worst situation is inside and near the cities, where there is bigger concentration of people on the same size of land, than in villages or country side.
-Working of disease is relatively predictable after certain time, when it stabilizes.
+*The chance of getting cured is not as important, as it may seem. While it is of course very important, tripling the value does not do much in terms of lowering number of deceased. Why is that? Since disease can be cured only when it manifest itself, so that person know, he should start treating himself, it could leave relatively small time window for him, to get cured. Sometimes, symptoms manifested themselves few ticks before he dies, so small increment in chance of getting cure is not having that much of an impact. On the other hand, chance of getting cured is essential in number of people, who are infected. The higher the number, the lower the number of infected people.
 =Files=
 [[Media:GDV.zip]]
 [[Media:Results_of_runs.xlsx]]