使用平均标准偏差 (MSD) 方法确定COVID-19活动水平的设置值,英格兰,2022-2024年
Mary A Sinnathamby1, Tania Bourouphael1, Jacob Boateng1
1Respiratory Virus Section, Immunisation and Vaccine-Preventable Diseases Division, Public Health Programmes, United Kingdom Health Security Agency (UKHSA), London, United Kingdom.
概括
我们创建了一种新方法,即平均标准偏差 (MSD) 方法,用于测量COVID-19活动. 这种方法在追踪呼吸道病毒方面是有效的,特别是当历史数据稀缺时.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 病毒学 病毒学
背景情况:
- 量化呼吸道病毒活动对于公共卫生监测至关重要.
- 现有的方法,如移动流行病方法 (MEM),已为流感确立,但对于新型或不那么季节性病毒可能存在局限性.
- 准确评估病毒活动有助于及时进行公共卫生干预.
研究的目的:
- 引入和验证一种用于量化呼吸道病毒活性水平的新方法.
- 建立平均标准偏差 (MSD) 方法作为COVID-19监测的可靠工具.
- 评估MSD方法对其他呼吸道病毒的适用性,这些病毒缺乏广泛的历史数据或明确的季节性.
主要方法:
- 开发用于设定活动水平值的平均标准偏差 (MSD) 方法.
- 通过将其性能与已建立的移动流行病方法 (MEM) 进行比较,验证MSD方法.
- 利用COVID-19活动数据进行方法验证.
主要成果:
- 新开发的MSD方法与流感的长期MEM相比,显示出非常相似的结果.
- MSD方法提供了对COVID-19活动水平的可靠量化.
- 成功验证表明MSD方法的可靠性.
结论:
- 平均标准偏差 (MSD) 方法是量化COVID-19活动的验证和有效工具.
- 脊髓硬化症方法为监测呼吸道病毒提供了有价值的替代方案,特别是那些历史数据或季节性有限的病毒.
- 这种方法可以加强监测工作,当多个呼吸道病毒正在共同循环时.
相关概念视频
Calculating Standard Deviation
7.3K
The standard deviation is the most common measure of variation. It is a value that tells us how far a data value is from the mean value in a dataset. Further, the standard deviation is always a positive value or zero.
The standard deviation value is small when all the data is concentrated close to the mean. Here the data exhibits low variation. The standard deviation value is larger when the data values are more spread out from the mean. Here, the data displays high...
The standard deviation value is small when all the data is concentrated close to the mean. Here the data exhibits low variation. The standard deviation value is larger when the data values are more spread out from the mean. Here, the data displays high...
7.3K
Range Rule of Thumb to Interpret Standard Deviation
8.9K
The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
8.9K
Empirical Method to Interpret Standard Deviation
5.1K
The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...
This rule is used widely in statistics to calculate the proportion of data values...
5.1K
Estimating Population Mean with Known Standard Deviation
8.3K
To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
8.3K
Estimating Population Standard Deviation
3.0K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.0K
Steps in Outbreak Investigation
107
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
107


