相关实验视频

Updated: Jul 28, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.3K

COVID-19概念建模:单中心跨部门研究

Mawahib Abuauf1, Enaam Hassan Raboe2, Muneera Alshareef3

  • 1Pediatric Department, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia.

JMIR formative research
|May 31, 2023
PubMed
概括

一个概念模型确定了一个低风险的COVID-19患者群体,导致ICU入院率和死亡率较低. 医院政策保护医疗保健提供者免受COVID-19感染.

关键词:
在 COVID-19 疫情中,在CURB-65中使用.这就是SARS-CoV-2病毒.沙特阿拉伯 沙特阿拉伯 沙特阿拉伯这是一个概念框架.概念模型是一个概念模型.这是一个横截面的横截面.死亡死亡死亡死亡死亡死亡电子记录是一个电子记录.医疗保健 医疗保健 医疗保健住院治疗 住院治疗医院数据库 医院数据库住院治疗 住院治疗重症监护室的重症监护室是重症监护室的重症监护室.医疗决策中的医疗决策建模 建模模型 建模模型疾病发病率 疾病发病率 疾病发病率死亡率 死亡率在社会经济方面.

更多相关视频

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-1908:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

3.0K
Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression07:30

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression

Published on: June 15, 2019

10.1K

相关概念视频

Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
292
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.4K
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.3K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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:
434
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
388
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
204