Difference between revisions of "General Behavior of Infections"
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| − | How does infection spread? Although there are many models available, most of them are quite straightforward and very simple. I tried to make the whole system more complex by adding some basic behavior to the agents as well as more variables, by which is the infection defined. This creates a more complex insight into the way of spreading | + | How does infection spread in different environment? Although there are many models available, most of them are quite straightforward and very simple. Mostly they are concentrating on spreading the disease itself, without any thought places into the surrounding environment, like spread of people. I tried to make the whole system more complex by adding some basic behavior to the agents as well as more variables, by which is the infection defined. This creates a more complex insight into the way of spreading infections. At least to better extend than most models. |
| − | + | Note: The model if far from my liking actually. It still lacks complexity I would like to see and implement. That is partly due to problem with speed. Although simulating 10 000 agents with relatively simple behavior is possible, by adding more and more complex behavior, the whole system started to slow down considerably (I ended with one tick per 30 seconds which is not exactly ideal state for simulating). | |
=Method= | =Method= | ||
Revision as of 15:04, 14 January 2014
Introduction
Problem definition
How does infection spread in different environment? Although there are many models available, most of them are quite straightforward and very simple. Mostly they are concentrating on spreading the disease itself, without any thought places into the surrounding environment, like spread of people. I tried to make the whole system more complex by adding some basic behavior to the agents as well as more variables, by which is the infection defined. This creates a more complex insight into the way of spreading infections. At least to better extend than most models. Note: The model if far from my liking actually. It still lacks complexity I would like to see and implement. That is partly due to problem with speed. Although simulating 10 000 agents with relatively simple behavior is possible, by adding more and more complex behavior, the whole system started to slow down considerably (I ended with one tick per 30 seconds which is not exactly ideal state for simulating).
Method
Model
Globals: Chance to infect x
Agents: People Centers
Variables: Number of people Number of cities Number of infected population in % Chance to cure
