life table

简明释义

使用年限表［固定资产］

英英释义

例句

1.Demographers rely on the life table to understand population trends and mortality rates.

人口学家依赖生命表来了解人口趋势和死亡率。

2.Researchers created a life table to analyze the lifespan of different species.

研究人员创建了一个生命表来分析不同物种的寿命。

3.The insurance company used a life table to calculate the premiums for their policies.

保险公司使用生命表来计算他们保单的保费。

4.Public health officials use a life table to assess the impact of health interventions.

公共卫生官员使用生命表来评估健康干预的影响。

5.A life table provides valuable information for retirement planning.

生命表为退休规划提供了宝贵的信息。

作文

A life table is a fundamental tool used in demography and public health to analyze the mortality rates and survival probabilities of a population. It provides a comprehensive summary of the mortality experience of a cohort, typically organized by age. Understanding a life table is crucial for various fields, including insurance, healthcare planning, and social sciences. The construction of a life table begins with collecting data on the number of deaths within specific age groups over a certain period. This data is then used to calculate the probability of surviving from one age to the next. The resulting table includes several important columns: the age interval, the number of individuals at the beginning of each age interval, the number of deaths during that interval, and the number of survivors at the end of the interval. One of the key components of a life table is the 'survivorship function,' which indicates the proportion of individuals who survive to each age. This function is essential for understanding the longevity and health of a population. For example, if a life table shows that 90% of newborns survive to age 5, it reflects positively on the healthcare system and living conditions of that population. Conversely, a low survival rate may indicate significant health challenges or socioeconomic issues. Moreover, life tables can be used to predict future trends in population dynamics. By analyzing historical data, demographers can forecast changes in birth and death rates, which are critical for planning resources in healthcare, education, and social services. For instance, if a community has an aging population, policymakers can use a life table to anticipate increased demand for elder care services. Another application of a life table is in the insurance industry. Actuaries rely on these tables to assess risk and determine premiums for life insurance policies. By understanding the mortality rates associated with different age groups, insurers can create more accurate pricing models. For example, if a life table indicates that individuals in a certain age bracket have a higher probability of dying within the next decade, insurers will adjust their premiums accordingly to mitigate potential losses. In conclusion, a life table serves as a vital resource for various sectors, providing insights into mortality rates and survival probabilities. Its applications span across public health, demographic studies, and financial planning. By analyzing the data presented in a life table, stakeholders can make informed decisions that ultimately enhance the well-being of individuals and communities. Understanding how to read and interpret a life table is not only beneficial for professionals in these fields but also for individuals seeking to understand the health trends affecting their lives and societies. With the increasing importance of data-driven decision-making in our world, mastering the concept of a life table will undoubtedly prove to be invaluable in various aspects of life.

生命表是一个基本工具，用于人口统计学和公共卫生领域，以分析一个人群的死亡率和生存概率。它提供了一个关于某一队列的死亡经历的综合总结，通常按年龄组织。理解生命表对包括保险、医疗规划和社会科学在内的多个领域至关重要。构建生命表的第一步是收集特定年龄组在一定时期内的死亡人数数据。然后，这些数据用于计算从一个年龄到下一个年龄的生存概率。最终生成的表格包括几个重要的列：年龄区间、每个年龄区间开始时的人数、该区间内的死亡人数以及该区间结束时的幸存者人数。生命表的一个关键组成部分是“生存函数”，它表示幸存到每个年龄的个体比例。这个函数对于理解一个人群的寿命和健康至关重要。例如，如果一张生命表显示90%的新生儿在5岁时存活，这反映了该人群的医疗保健系统和生活条件良好。相反，低生存率可能表明重大健康挑战或社会经济问题。此外，生命表可用于预测人口动态的未来趋势。通过分析历史数据，人口统计学家可以预测出生率和死亡率的变化，这对于医疗、教育和社会服务资源的规划至关重要。例如，如果一个社区有一个老龄化的人口，政策制定者可以利用生命表来预见对老年护理服务的需求增加。生命表的另一个应用是在保险行业。精算师依靠这些表格来评估风险并确定人寿保险政策的保费。通过了解不同年龄组的死亡率，保险公司可以创建更准确的定价模型。例如，如果一张生命表表明某个年龄段的个体在未来十年内死亡的概率较高，保险公司将相应调整其保费以降低潜在损失。总之，生命表作为各种领域的重要资源，提供了有关死亡率和生存概率的见解。它的应用跨越公共卫生、人口研究和财务规划。通过分析生命表中呈现的数据，利益相关者可以做出明智的决策，从而最终提高个人和社区的福祉。理解如何阅读和解释生命表不仅对这些领域的专业人士有益，而且对那些希望了解影响他们生活和社会的健康趋势的个人也大有裨益。随着数据驱动决策在我们世界中的日益重要，掌握生命表的概念无疑将在生活的各个方面证明其不可或缺的价值。