相关实验视频

Updated: Jul 25, 2025

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
08:41

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

Published on: November 5, 2021

2.8K

在19个欧洲国家,COVID-19相关的青少年死亡率和发病率

Jesus Cortés1, Pedro Manuel Vargues Aguiar2, Paulo Ferrinho3

  • 1NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, 1600-560, Lisbon, Portugal. jdc.gil@ensp.unl.pt.

European journal of pediatrics
|June 29, 2023
PubMed
概括

青少年COVID-19死亡风险通过全面接种疫苗和获得优质医疗保健来降低. 然而,污染增加增加了这个年龄组的死亡风险. 公共和私营部门的协调对于危机管理至关重要.

关键词:
青少年 青少年 青少年在 COVID-19 疫情中,环境 环境 环境 环境死亡率 死亡率 死亡率疫苗 疫苗 疫苗 疫苗

更多相关视频

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.6K
Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.3K

相关概念视频

Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
641
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:  
375
Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
85
Erikson's Theory on Socioemotional Development during Adolescence01:17

Erikson's Theory on Socioemotional Development during Adolescence

Erik Erikson's fifth stage of psychosocial development, "identity versus role confusion," is crucial during adolescence (ages 12 to 18). In this stage, adolescents face the developmental task of forging a distinct personal identity, a process influenced by social, psychological, and biological changes typical of this period. Adolescents naturally explore different roles, behaviors, and ideologies as they navigate complex questions of self-concept, asking, "Who am I?" and...
171
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:
426
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
238