内容简介:Hi! This is a simple, cohort-based epidemic simulation. More details.The simulation starts with a given pool of infected people, which fall sick for a given amount of days and have a given chance of dying during their sickne
Epidemic Simulator
Hi! This is a simple, cohort-based epidemic simulation. More details.
Day Total sick Total healthy Total cured Total deceased
Sick People
Healthy People
Cured People
Deceased People
Age Cohorts: Sick People
Age Cohorts: Deceased People
Age Cohorts: Sick People People (with reference)
Age Cohorts: Deceased People (with reference)
Age-Related Mortality (percent)
Simulation Details
The simulation starts with a given pool of infected people, which fall sick for a given amount of days and have a given chance of dying during their sickness, with a mortality that depends on their age (see above). A sick person will infect a given number of other people while sick, the total number of infections over the course of the sickness is given as the infection rate (you can tune this parameter). Only healthy people can be infected, i.e. once someone is cured we assume that person cannot be infected again. Also, we assume that the infection rate is based on the number of interactions with other people from the population, hence when the number of healthy vs. cured and infected people decreases in a given age cohort, the chance of infecting someone from that cohort also decreases.
We use the age distribution of the German population to evaluate the effect of the infection on different age cohorts. By varying the infection rate you can get a feeling for how different rates affect the number of deceased people, the speed of the spreading of the infection and the maximum number of infected people.
Feel free to suggest improvements and contribute to this project on Github .
This is not a realistic simulation, it only provides a (hopefully) intuitive way to visualize the relationship between infection rate and the spreading of the infection through the population.
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网
猜你喜欢:本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。
软件测试经验与教训
Cem Kaner、James Bach、Bret Pettichord / 机械工业出版社 / 2004-1 / 35.00
本书汇总了293条来自软件测试界顶尖专家的经验与建议,阐述了如何做好测试工作、如何管理测试,以及如何澄清有关软件测试的常见误解,读者可直接将这些建议用于自己的测试项目工作中。这些经验中的每一条都是与软件测试有关的一个观点,观点后面是针对运用该测试经验的方法、时机和原因的解释或例子。 本书还提供了有关如何将本书提供的经验有选择性地运用到读者实际项目环境中的建议,在所有关键问题上所积累的经验,以......一起来看看 《软件测试经验与教训》 这本书的介绍吧!