一位流行病学家正在研究蚊子传播的疾病——登革热在 A 镇的传播情况。 定义为研究开始 年后感染人数(以千人为单位)。该流行病学家预测 的增长率与已感染人数和未感染人数的乘积成正比。已知 A 镇有 1 万人,其中最初有 1 千人被感染。
- (i)
写出 满足的微分方程。
- (ii)
已知该流行病学家预测需要 2 年时间才能使镇上的一半人口被感染,求解 (i) 中的微分方程,并将 表示为 的函数。
- (iii)
由此,画出 关于 的函数图像。
- (iv)
第二位流行病学家提出了该疾病传播的另一种替代模型,其微分方程如下:
使用相同的初始条件,求解微分方程 ,以找到 关于 的表达式。
- (v)
求由该替代模型预测的 的最大值和最小值。
- (vi)
A 镇政府认为替代模型是一个更现实的疾病传播模型,因为它更贴近观察到的疾病传播规律。导致这一情况的可能因素是什么?
它不会直接告诉你答案,而是问你卡在哪一步看看 AI 是怎么陪你一步步弄懂这道题的
完整解法
10(i)
1. Identify the quantities involved and translate the rate of increase and proportionality into a mathematical equation.
The number of infected people is (in thousands).
The total population is (in thousands), so the number of uninfected people is .
The rate of increase of is .
Since it is proportional to the product of infected and uninfected people:
where is a constant of proportionality (with ).
where is a constant.
10(ii)
1. State the differential equation formulated in part (i) and separate the variables.
From the problem description in (i), the rate of increase of is proportional to the product of infected () and uninfected () people.
Separating the variables:
2. Integrate both sides using partial fractions.
Using partial fractions for the integrand:
Integrating both sides:
3. Apply the initial condition to find the constant of integration.
Initially, 1000 people are infected. Since is in thousands, when :
Substituting back into the equation:
Multiplying by 10 and combining the logarithms:
4. Apply the given condition at $t = 2$ to find the proportionality constant $k$.
When , half the town is infected, so :
5. Rearrange the equation to express $P$ explicitly in terms of $t$.
Substitute into the equation:
10(iii)
1. Identify the relevant equation, intercept, and asymptote from the context.
From part (ii), the solution to the differential equation is .
When , , giving the -intercept as defined by the initial population.
As , . Rewriting by dividing the numerator and denominator by :
As , , so . This indicates a horizontal asymptote at .
2. Describe the shape of the graph to be sketched.
Because models an increasing number of infected people, the curve is strictly increasing for .
It starts at , concaves upwards initially, then curves downwards (inflection) as the rate of infection slows, flattening out to approach the asymptote .
[Graph sketch requiring the following features]
- Axes labelled with (horizontal) and (vertical), sketched only for .
- Curve starts at the -intercept .
- Curve is strictly increasing in an 'S' (logistic) shape.
- A dotted horizontal line is drawn and labelled as the asymptote .
10(iv)
1. Integrate the given differential equation to find the general solution for $P$.
Recognising the form where and :
2. Use the initial conditions to find the constant of integration, $C$.
From the problem context, 1000 people were initially infected, and is the number of infected people in thousands. Therefore, when , .
3. State the specific expression for $P$.
10(v)
1. Solve the differential equation from part (iv) to find the explicit expression for $P(t)$.
Using the initial condition when :
2. Use the bounded range of the sine function to determine the greatest and least values of $P$.
For , the value of fluctuates between and .
To find the greatest value of , we must minimise the denominator:
To find the least value of , we must maximise the denominator:
Greatest value , Least value
10(vi)
1. Link the periodic nature of the alternative model to a real-world environmental factor.
The alternative model yields an expression with trigonometric functions, indicating that the number of infected people fluctuates periodically. A possible contributing factor is the seasonal variation in weather (e.g., changing seasons or rainfall), which directly affects the breeding and population of mosquitoes, thus causing the spread of the disease to rise and fall periodically over time.
The alternative model is periodic, which accounts for the seasonal variations in weather (such as rainfall) that affect the mosquito breeding cycle, leading to periodic fluctuations in the spread of dengue fever.
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