法国公务员中长期COVID的患病率,危险因素,与疾病相关的知识以及接种疫苗的态度和行为:跨部门调查
Florence Carrouel1, Virginie-Eve Lvovschi2,3, Benjamin du Sartz de Vigneulles1
1Laboratory "Health, Systemic, Process" (P2S), UR4129, University Claude Bernard Lyon 1, 11 rue Guillaume Paradin, Lyon, 69008, France, 33 0478785745.
JMIR public health and surveillance
|December 5, 2025
概括
长期COVID影响法国公务员,低诊断影响公共服务. 接种疫苗与较低的长期COVID几率有关,突出显示了工作场所卫生教育和查的必要性.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 职业健康 职业健康 职业健康
背景情况:
- 长期的COVID对全球的医疗保健系统和劳动力稳定性提出了重大挑战.
- 在法国公务员中进行了一项全国性调查,以解决长期COVID的诊断和流行病学复杂性.
- 了解长期COVID的行为维度对于有效预防和保持劳动力弹性至关重要.
研究的目的:
- 确定法国公务员中长期COVID的流行率.
- 确定与长期COVID相关的社会人口统计学,职业和健康因素.
- 评估这些人群中与COVID-19疫苗接种相关的知识,态度和行为.
主要方法:
- 在2024年对法国公务员进行了一项采用经过验证的知识,态度和行为调查问卷的横截面调查.
- 分析了四个COVID-19状态组的反应:没有COVID-19,COVID-19没有长期COVID,诊断长期COVID和怀疑长期COVID.
- 统计方法包括单变量测试和多变量逻辑回归,以确定与确诊或疑似长期COVID相关的因素.
主要成果:
- 1.54%的受访者已经诊断出长期COVID,6.08%的人怀疑长期COVID.
- 被诊断为长期COVID与长期病假和疾病保险的增加相关.
- 疑似长期COVID与人际关系状况,寡妇和不完整/不确定的疫苗接种状况有关. 知识分数在不同组之间差异很大.
结论:
- 法国公务员中长期COVID的诊断不足,影响了基本服务.
- 知识和疫苗接种行为的差异凸显了针对工作场所健康干预措施的必要性.
- 集成疫苗推广,早期检测和健康素养的工作场所战略对于公共服务的弹性至关重要.
相关概念视频
Principles of Disease Surveillance
440
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
440
Factors Affecting Illness
5.0K
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,...
5.0K
Prevalence and Incidence
1.5K
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...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.5K
Factors Affecting the Risk of Infection
13.2K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.2K
Vaccinations
51.1K
Overview
51.1K
Bias in Epidemiological Studies
1.2K
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:
1.2K
