Insight Maker - Infection
https://insightmaker.com/taxonomy/term/113
enthe pbg virus
https://insightmaker.com/node/114516
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/66">Health Care</a></div><div class="field-item odd"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even">This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0. Compare with Bass Diffusion Model IM-610</div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div><div class="field field-name-field-parent-insight field-type-number-integer field-label-above"><div class="field-label">Parent Insight: </div><div class="field-items"><div class="field-item even">584</div></div></div>Thu, 09 Aug 2018 18:56:53 +0000david meyer114516 at https://insightmaker.comMigration and infection propagation
https://insightmaker.com/node/111575
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/94">Health</a></div><div class="field-item odd"><a href="/taxonomy/term/1249">Migration</a></div><div class="field-item even"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even">This insight is about infection propagation and population migration influence on this propagation.
For this, we defined a world population size and a percentage of it who’s infected. Then, we created an agent where we simulated possible states of an individual.
So, he can be healthy, infected (with an infection rate) or immunized ( with a certain rate of immunization). If the individual is infected, he can be alive or dead. Then, we simulated different continents (North-America, Asia and Europe) with a migration between these with a certain rate of migration (we tried to approach reality).
Then, thanks to our move action which represents a circular permutation between the different continents with a random probability, the agent will be applied to every individual of the world population. How does the program work ?
In order to use this insight, we need to define a size of world population and a probability of every individual to reproduce himself.
Every individual of this population can have three different state (healthy, infected or immunized) and infected people can be alive or dead.
We need to define a percentage of infection for healthy people and a percentage of death for infected people and also a percentage of immunization.
Finally, there is Migration Part of the program, in this one, we need to define three different continents, states or whatever you want. We also need to define a migration probability between each continent to move these person.
With this moving people, we can study the influence of migration on the propagation of a disease.Vincent Cochet, Julien Platel, Jordan Béguet</div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div><div class="field field-name-field-parent-insight field-type-number-integer field-label-above"><div class="field-label">Parent Insight: </div><div class="field-items"><div class="field-item even">111 571</div></div></div>Sun, 20 May 2018 11:38:26 +0000Julien Platel111575 at https://insightmaker.comhttps://insightmaker.com/node/111575#commentsMigration and infection propagation
https://insightmaker.com/node/111574
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/94">Health</a></div><div class="field-item odd"><a href="/taxonomy/term/1249">Migration</a></div><div class="field-item even"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even">This insight is about infection propagation and population migration influence on this propagation.
For this, we defined a world population size and a percentage of it who’s infected. Then, we created an agent where we simulated possible states of an individual.
So, he can be healthy, infected (with an infection rate) or immunized ( with a certain rate of immunization). If the individual is infected, he can be alive or dead. Then, we simulated different continents (North-America, Asia and Europe) with a migration between these with a certain rate of migration (we tried to approach reality).
Then, thanks to our move action which represents a circular permutation between the different continents with a random probability, the agent will be applied to every individual of the world population. How does the program work ?
In order to use this insight, we need to define a size of world population and a probability of every individual to reproduce himself.
Every individual of this population can have three different state (healthy, infected or immunized) and infected people can be alive or dead.
We need to define a percentage of infection to healthy people and a percentage of death for infected people and also a percentage of immunization.
Finally there is Migration Part of the program, in this one, we need to define three different continents, states or whatever you want. We also need to define a migration probability between each continent to move these person.
With this moving people, we can study the influence of migration on the propagation of a disease.Vincent Cochet, Julien Platel, Jordan Béguet</div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div><div class="field field-name-field-parent-insight field-type-number-integer field-label-above"><div class="field-label">Parent Insight: </div><div class="field-items"><div class="field-item even">111 571</div></div></div>Sun, 20 May 2018 11:19:54 +0000Jordan BEGUET111574 at https://insightmaker.comhttps://insightmaker.com/node/111574#commentsClone of Migration and infection propagation
https://insightmaker.com/node/111573
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/94">Health</a></div><div class="field-item odd"><a href="/taxonomy/term/1249">Migration</a></div><div class="field-item even"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even">This insight is about infection propagation and population migration influence on this propagation.
For this, we defined a world population size and a percentage of it who’s infected. Then, we created an agent where we simulated possible states of an individual.
So, he can be healthy, infected (with an infection rate) or immunized ( with a certain rate of immunization). If the individual is infected, he can be alive or dead. Then, we simulated different continents (North-America, Asia and Europe) with a migration between theses with a certain rate of migration (we tried to approach reality).
Then, thanks to our our move action which represent a circular permutation between the different continents with a random probability the agent will be applied to every individual of the world population.
How the program works ?
In order to use this insight needs to define a size of world population and a probability of every individual to reproduce himself.
Every individual of this population can have three different state (healthy, infected or immunized) and infected people can be alive or dead.
We need to define a percentage of infection to healthy people and a percentage of death for infected people and also a percentage of immunization.
Finally there is le migration part of the program, in this one we need to define three different continents, states or whatever you want. We also need to define a migration probability between each continent to move these person.
With this moving people we can study the influence of migration on the propagation of a disease.</div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div><div class="field field-name-field-parent-insight field-type-number-integer field-label-above"><div class="field-label">Parent Insight: </div><div class="field-items"><div class="field-item even">111 571</div></div></div>Sun, 20 May 2018 10:36:35 +0000Jordan BEGUET111573 at https://insightmaker.comhttps://insightmaker.com/node/111573#commentsMigration and infection propagation
https://insightmaker.com/node/111571
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/94">Health</a></div><div class="field-item odd"><a href="/taxonomy/term/1249">Migration</a></div><div class="field-item even"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even">This insight is about infection propagation and population migration influence on this propagation.
For this, we defined a world population size and a percentage of it who’s infected. Then, we created an agent where we simulated possible states of an individual.
So, he can be healthy, infected (with an infection rate) or immunized ( with a certain rate of immunization). If the individual is infected, he can be alive or dead. Then, we simulated different continents (North-America, Asia and Europe) with a migration between these with a certain rate of migration (we tried to approach reality).
Then, thanks to our move action which represents a circular permutation between the different continents with a random probability, the agent will be applied to every individual of the world population. How does the program work ?
In order to use this insight, we need to define a size of world population and a probability of every individual to reproduce himself.
Every individual of this population can have three different state (healthy, infected or immunized) and infected people can be alive or dead.
We need to define a percentage of infection for healthy people and a percentage of death for infected people and also a percentage of immunization.
Finally, there is Migration Part of the program, in this one, we need to define three different continents, states or whatever you want. We also need to define a migration probability between each continent to move these person.
With this moving people, we can study the influence of migration on the propagation of a disease.Vincent Cochet, Julien Platel, Jordan Béguet</div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div><div class="field field-name-field-parent-insight field-type-number-integer field-label-above"><div class="field-label">Parent Insight: </div><div class="field-items"><div class="field-item even">107 271</div></div></div>Sun, 20 May 2018 09:12:31 +0000vincent cochet111571 at https://insightmaker.comhttps://insightmaker.com/node/111571#commentsMigration and infection propagation
https://insightmaker.com/node/107271
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/94">Health</a></div><div class="field-item odd"><a href="/taxonomy/term/1249">Migration</a></div><div class="field-item even"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"></div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div><div class="field field-name-field-parent-insight field-type-number-integer field-label-above"><div class="field-label">Parent Insight: </div><div class="field-items"><div class="field-item even">106 496</div></div></div>Sun, 01 Apr 2018 08:20:02 +0000Jordan BEGUET107271 at https://insightmaker.comhttps://insightmaker.com/node/107271#commentscontamination
https://insightmaker.com/node/102302
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/94">Health</a></div><div class="field-item odd"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"></div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div>Fri, 16 Mar 2018 07:31:41 +0000Soumaya ELMOUTAMID102302 at https://insightmaker.comhttps://insightmaker.com/node/102302#commentsVirus project
https://insightmaker.com/node/102295
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/94">Health</a></div><div class="field-item odd"><a href="/taxonomy/term/7465">Cure</a></div><div class="field-item even"><a href="/taxonomy/term/113">Infection</a></div><div class="field-item odd"><a href="/taxonomy/term/7858">Vaccination</a></div><div class="field-item even"><a href="/taxonomy/term/7859">Immunzation</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"></div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div>Fri, 16 Mar 2018 07:28:46 +0000Julien Platel102295 at https://insightmaker.comhttps://insightmaker.com/node/102295#commentsClone of SIR Infectious Disease Model
https://insightmaker.com/node/82927
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/66">Health Care</a></div><div class="field-item odd"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even">This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0. Compare with Bass Diffusion Model IM-610</div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div><div class="field field-name-field-parent-insight field-type-number-integer field-label-above"><div class="field-label">Parent Insight: </div><div class="field-items"><div class="field-item even">584</div></div></div>Mon, 17 Jul 2017 20:30:57 +0000bora82927 at https://insightmaker.comClone of SIR Infectious Disease Model
https://insightmaker.com/node/82926
<div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-above"><div class="field-label">Tags: </div><div class="field-items"><div class="field-item even"><a href="/taxonomy/term/66">Health Care</a></div><div class="field-item odd"><a href="/taxonomy/term/113">Infection</a></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even">This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0. Compare with Bass Diffusion Model IM-610</div></div></div><div class="field field-name-field-has-article field-type-list-boolean field-label-above"><div class="field-label">Has Article: </div><div class="field-items"><div class="field-item even">0</div></div></div><div class="field field-name-field-parent-insight field-type-number-integer field-label-above"><div class="field-label">Parent Insight: </div><div class="field-items"><div class="field-item even">584</div></div></div>Mon, 17 Jul 2017 20:29:57 +0000bora82926 at https://insightmaker.com