Syracuse University, Syracuse, NY, 13203, USA.
Coleman Scientific Consulting, Groton, NY, 13703, USA.
J Epidemiol Glob Health. 2024 Sep;14(3):787-816. doi: 10.1007/s44197-024-00216-6. Epub 2024 Mar 28.
Robust solutions to global, national, and regional burdens of communicable and non-communicable diseases, particularly related to diet, demand interdisciplinary or transdisciplinary collaborations to effectively inform risk analysis and policy decisions.
U.S. outbreak data for 2005-2020 from all transmission sources were analyzed for trends in the burden of infectious disease and foodborne outbreaks.
Outbreak data from 58 Microsoft Access data tables were structured using systematic queries and pivot tables for analysis by transmission source, pathogen, and date. Trends were examined using graphical representations, smoothing splines, Spearman's rho rank correlations, and non-parametric testing for trend. Hazard Identification was conducted based on the number and severity of illnesses.
The evidence does not support increasing trends in the burden of infectious foodborne disease, though strongly increasing trends were observed for other transmission sources. Morbidity and mortality were dominated by person-to-person transmission; foodborne and other transmission sources accounted for small portions of the disease burden. Foods representing the greatest hazards associated with the four major foodborne bacterial diseases were identified. Fatal foodborne disease was dominated by fruits, vegetables, peanut butter, and pasteurized dairy.
The available evidence conflicts with assumptions of zero risk for pasteurized milk and increasing trends in the burden of illness for raw milk. For future evidence-based risk management, transdisciplinary risk analysis methodologies are essential to balance both communicable and non-communicable diseases and both food safety and food security, considering scientific, sustainable, economic, cultural, social, and political factors to support health and wellness for humans and ecosystems.
为了解决全球、国家和地区在传染病和非传染性疾病方面的负担,特别是与饮食相关的负担,需要跨学科或交叉学科的合作,以便有效地为风险分析和政策决策提供信息。
分析了 2005 年至 2020 年美国所有传播源的疫情数据,以了解传染病和食源性疫情负担的趋势。
使用系统查询和数据透视表,对来自 58 个 Microsoft Access 数据表的疫情数据进行了结构化处理,以便按传播源、病原体和日期进行分析。使用图形表示、平滑样条、斯皮尔曼 rho 秩相关和非参数检验进行趋势检验来检查趋势。危害识别是基于疾病的数量和严重程度进行的。
尽管其他传播源的传染病食源性疾病负担呈明显上升趋势,但没有证据表明传染病食源性疾病负担呈上升趋势。发病率和死亡率主要由人与人之间的传播引起;食源性和其他传播源仅占疾病负担的一小部分。确定了与四大食源性细菌病相关的风险最大的食品。致命食源性疾病主要由水果、蔬菜、花生酱和巴氏杀菌乳制品引起。
现有证据与巴氏杀菌奶零风险的假设以及生奶相关疾病负担增加的趋势相矛盾。为了未来基于证据的风险管理,跨学科的风险分析方法对于平衡传染病和非传染性疾病、食品安全和粮食安全至关重要,同时考虑到科学、可持续、经济、文化、社会和政治因素,以支持人类和生态系统的健康和福祉。