:COVID-19广

Long Ma1, Zhihao Qiu1, Piet Van Mieghem1

  • 1Faculty of Electrical Engineering, Mathematics, and Computer Science, Delft University of Technology, Delft, GA 2600, The Netherlands.

PNAS nexus
|June 7, 2024
PubMed
概括

准确的流行病预测取决于清洁的数据. 这项研究揭示了COVID-19数据的重大报告延迟,并提出了纠正它们的框架,可能将预测错误减少高达50%.

相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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:
122
Types of Reports II: Incident or Occurrence Report01:21

Types of Reports II: Incident or Occurrence Report

An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event.
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
819
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
704