Related Experiment Video
Updated: Nov 13, 2025
10:46
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
10.8K
CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy.
1ISTAT, Rome, Italy.
Peerj
|March 15, 2021
Summary
Official COVID-19 case data in Italy was based on a small sample. A new bootstrap estimation method reveals actual SARS-CoV-2 infections may be significantly higher than reported.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- Official COVID-19 data in Italy relies on non-representative swab-positive samples.
- Accurate infection numbers, including asymptomatic cases, are vital for public health planning and resource allocation.
Purpose of the Study:
- To develop a robust and automatic estimation procedure for SARS-CoV-2 infected individuals.
- To provide reliable regional-level infection estimations in Italy.
Main Methods:
- A bootstrap-driven estimation procedure was developed.
- The method is designed for robustness, automation, and regional applicability.
Main Results:
- Official data on March 12th reported 12,839 COVID-19 cases in Italy.
- The bootstrap estimation suggests the actual number of SARS-CoV-2 infected individuals could be as high as 105,789.
Conclusions:
- The proposed method offers a more accurate estimation of SARS-CoV-2 prevalence.
- This approach addresses limitations of current data collection for effective pandemic response.
Related Concept Videos
01:25Statistical Methods for Analyzing Epidemiological Data
694
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
694
01:18Steps in Outbreak Investigation
315
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:
315
01:22Estimating Population Mean with Unknown Standard Deviation
8.4K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
William S. Gosset (1876–1937) of the...
8.4K
01:26Distributions to Estimate Population Parameter
4.8K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.8K
01:14Parametric Survival Analysis: Weibull and Exponential Methods
804
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
804
01:26Estimating Population Standard Deviation
3.2K
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...
3.2K