气象因素与COVID-19之间的关联:全球范围审查
Jesse Limaheluw1,2, Sophia Dollmann1,2, Sofia Folpmers1,2
1Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Frontiers in public health
|August 2, 2024
概括
温度和太阳辐射等气象因素影响SARS-CoV-2 (导致COVID-19的病毒) 的生存能力. 然而,天气和COVID-19传播之间的关系仍然复杂,需要进一步的综合研究,以更好地应对疫情.
科学领域:
- 环境科学 环境科学
- 病毒学 病毒学
- 流行病学 流行病学
背景情况:
- 呼吸系统病毒通常对气象因素表现出敏感性.
- 目前,将气象因素与SARS-CoV-2传播和COVID-19联系在一起的证据是不一致的.
- 了解这些联系对于提高疫情防控能力至关重要.
研究的目的:
- 审查有关气象因素与SARS-CoV-2/COVID-19之间的关系的最新证据.
- 综合有关天气变量如何影响病毒传播和疾病流行病学的研究结果.
主要方法:
- 进行了对同行评审研究的全球范围审查.
- 包括了2020年1月至2023年1月间发表的研究.
- 该审查审查了温度,太阳辐射,湿度,降水,风速和大气压力之间的关联.
主要成果:
- 从最初的9,156个记录中,包括了474项研究.
- 实验研究始终表明,较高的温度和太阳辐射降低了SARS-CoV-2的生存能力.
- 关于COVID-19的流行病学研究提供了不太一致的证据,许多是观察性研究.
- 气象因素与空气污染等其他变量之间的相互作用被注意到,但没有一项研究全面包括所有决定因素.
结论:
- 短期气象因素与SARS-CoV-2/COVID-19动态之间的关系是复杂的.
- 环境和社会因素相互影响,需要进一步研究.
- 需要采用综合研究方法来预测潜在的流行性呼吸道病毒的动态.
相关概念视频
01:07What is Weather?
18.2K
Overview
18.2K
01:18Factors Affecting Illness
4.2K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
4.2K
01:21Causality in Epidemiology
363
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
363
01:28Factors Affecting Body Temperature
4.0K
As a nurse, it is vital to understand the factors affecting body temperature to monitor variations and effectively evaluate deviations from regular.
Factors may include:
Factors may include:
4.0K
01:09Correlation
11.7K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
11.7K
01:30Criteria for Causality: Bradford Hill Criteria - I
249
The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
249