The PubMed and ScienceDirect bibliographic databases were searched for the period of 1998–2009 to evaluate the impact of climatic and environmental determinants on food- and waterborne diseases. The authors assessed 1,642 short and concise sentences (key facts), which were extracted from 722 relevant articles and stored in a climate change knowledge base. Key facts pertaining to temperature, precipitation, water, and food for 6 selected pathogens were scrutinized, evaluated, and compiled according to exposure pathways. These key facts (corresponding to approximately 50,000 words) were mapped to 275 terminology terms identified in the literature, which generated 6,341 connections. These relationships were plotted on semantic network maps to examine the interconnections between variables. The risk of campylobacteriosis is associated with mean weekly temperatures, although this link is shown more strongly in the literature relating to salmonellosis. Irregular and severe rain events are associated with Cryptosporidium sp. outbreaks, while noncholera Vibrio sp. displays increased growth rates in coastal waters during hot summers. In contrast, for Norovirus and Listeria sp. the association with climatic variables was relatively weak, but much stronger for food determinants. Electronic data mining to assess the impact of climate change on food- and waterborne diseases assured a methodical appraisal of the field. This climate change knowledge base can support national climate change vulnerability, impact, and adaptation assessments and facilitate the management of future threats from infectious diseases. In the light of diminishing resources for public health this approach can help balance different climate change adaptation options.

中文翻译：

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气候变化对食源性疾病和水源性疾病的影响评估


检索了 1998 年至 2009 年期间的 PubMed 和 ScienceDirect 书目数据库，以评估气候和环境决定因素对食源性疾病和水源性疾病的影响。作者评估了 1,642 个简短的句子（关键事实），这些句子是从 722 篇相关文章中提取的，并存储在气候变化知识库中。根据暴露途径，对 6 种选定病原体的温度、降水、水和食物有关的关键事实进行了审查、评估和汇编。这些关键事实（相当于大约 50,000 个单词）被映射到文献中确定的 275 个术语，从而生成了 6,341 个连接。这些关系被绘制在语义网络图上，以检查变量之间的相互关系。弯曲菌病的风险与每周平均气温有关，尽管与沙门氏菌病相关的文献中更强烈地显示了这种联系。不规则和严重的降雨事件与隐孢子虫有关。爆发，而非霍乱弧菌 sp。在炎热的夏季，沿海水域的生长速度加快。相反，对于诺如病毒和李斯特菌。与气候变量的相关性相对较弱，但与食物决定因素的相关性要强得多。用于评估气候变化对食源性疾病和水源性疾病影响的电子数据挖掘确保了对该领域的系统评估。该气候变化知识库可以支持国家气候变化脆弱性、影响和适应评估，并促进对传染病未来威胁的管理。鉴于公共卫生资源不断减少，这种方法可以帮助平衡不同的气候变化适应方案。