疾病预防控制中心的定向资金改善了美国各州的食品传播疫情报告,2009-2022年
Madhura S Vachon1, Alexandra R Edmundson1, Alice E White2
1University of Minnesota School of Public Health, Division of Environmental Health Sciences, 420 Delaware St SE, MMC 807, Minneapolis, MN 55455, USA.
Journal of food protection
|July 18, 2025
概括
美国疾病控制和预防中心 (CDC) 资助食品传播疾病监测计划,包括FoodCORE,食品安全委员会和OBNE,显著增加了疫情报告率. 增加联邦对公共卫生监测的支持,提高了食品传播疾病的检测和报告.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 食品安全监督 食品安全监督
背景情况:
- 美国疾病控制和预防中心 (CDC) 资助计划,以改善食品传播疾病爆发的检测和应对.
- 主要举措包括食品传播疾病中心加强疫情应对 (FoodCORE),综合食品安全卓越中心 (Food Safety CoE) 和疫情网络增强 (OBNE).
研究的目的:
- 评估疫学和实验室能力 (ELC) 资助的食品传播计划对单个州食品传播疾病爆发报告的影响.
- 确定ELC资金水平与疫情报告率之间的关联.
主要方法:
- 利用了CDC的2009年至2022年的食品传播疾病爆发监测系统 (FDOSS) 的数据.
- 根据各州在ELC资助的计划 (没有计划,OBNE,FoodCORE,食品安全委员会) 的参与,对每百万人口的疫情报告率进行比较.
- 分析了ELC平均资金和总体和特定病原体 (沙门氏菌,大肠杆菌,李斯特菌) 爆发的爆发报告率之间的相关性.
主要成果:
- 参与ELC资助计划的国家报告的食物传播疾病爆发率高于非参与国家.
- 每百万人口的平均报告率为1.54 (没有计划),2.40 (OBNE),3.75 (FoodCORE) 和4.16 (食品安全委员会).
- 在ELC资金增加1美元与总体疫情报告增加0.88个单位,沙门氏菌,大肠杆菌和李斯特菌疫情报告增加0.14个单位相关.
结论:
- 总体而言,ELC的资金与食品传播疾病爆发报告的增加有关.
- 联邦对公共卫生监测基础设施的投资对于加强对食物传播疾病的检测和报告至关重要.
相关概念视频
Steps in Outbreak Investigation
209
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:
209
Principles of Disease Surveillance
182
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...
182
Healthcare Associated Infections II: Preventive Measures
2.8K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.8K
Causality in Epidemiology
863
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...
863
Statistical Software for Data Analysis and Clinical Trials
793
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
793
Statistical Methods for Analyzing Epidemiological Data
539
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:
539


