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删除93字节 、 2020年5月23日 (六) 18:16
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Over time, the number of those infected fluctuates by: the specified rate of recovery, represented by <math>\mu</math> but deducted to one over the average infectious period <math>{1\over \tau}</math>, the numbered of infectious individuals, <math>I</math>, and the change in time, <math>\Delta t</math>.
 
Over time, the number of those infected fluctuates by: the specified rate of recovery, represented by <math>\mu</math> but deducted to one over the average infectious period <math>{1\over \tau}</math>, the numbered of infectious individuals, <math>I</math>, and the change in time, <math>\Delta t</math>.
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随着时间的推移,感染人数的波动幅度为: 以<math>\mu</math>来表示特定的恢复率,移除的平均感染期记为<math>{1\over \tau}</math>,感染个体的数量 <math>I</math>,以及时间的变化<math>\Delta t</math>。
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随着时间的推移,感染人数的波动幅度为:以 <math>\mu</math> 来表示特定的恢复率,但在平均感染期 <math>{1\over \tau}</math> 内减为1,感染个体的数量为 <math>I</math>,以及时间的变化为 <math>\Delta t</math>。
    
=====感染时期=====
 
=====感染时期=====
 
Whether a population will be overcome by a pandemic, with regards to the SIR model, is dependent on the value of <math>R_0</math> or the "average people infected by an infected individual."
 
Whether a population will be overcome by a pandemic, with regards to the SIR model, is dependent on the value of <math>R_0</math> or the "average people infected by an infected individual."
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就 SIR 模型而言,被流行病感染的人口数量,取决于数学<math>R_0</math>基本传染数的数值,是指被感染个体能感染普通人群的人数。比如<math>R_0 = 3</math>,意味着一个感染者平均感染3个未感染者。
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就 SIR 模型而言,被流行病感染的人口数量,取决于 <math>R_0</math> 的数值,或“被感染个体所感染的平均人数”。
    
: <math>R_0 = \beta\tau = {\beta\over\mu}</math>
 
: <math>R_0 = \beta\tau = {\beta\over\mu}</math>
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