Communication Breakdown - Of Disease Clusters, a Trillium and One Health.

IF 0.5 4区 农林科学 Q4 VETERINARY SCIENCES
Olaf Berke
{"title":"Communication Breakdown - Of Disease Clusters, a Trillium and One Health.","authors":"Olaf Berke","doi":"10.12834/VetIt.3483.27128.3","DOIUrl":null,"url":null,"abstract":"<p><p>One health is based on an interdisciplinary collaboration across professions using a common language. Geographic epidemiology is the study of spatial patterns of population health in a study area. Such spatial patterns (trend, cluster and clustering) require clear definition to be meaningful in science communication. However, the term \"disease cluster\" has been defined in the literature in various and rather different ways. When geographic epidemiology is unable to make sense of its own concepts it is questionable how respective research results can benefit one health. The goal of this study was to clarify the disease cluster concept. Examples of disease cluster definitions from the literature were used for illustration. The epidemiological triangle of causation (agent, host and environment) was used to conceptualize geographic epidemiological data analysis. The term disease cluster was distinguished from related concepts (clustering, high-risk area, hot spot and outbreak) additionally the semantics and statistical meaning of expectation and prediction were reviewed to further identify the cluster concept as a statistical outlier. The new paradigm of the geographic epidemiological trillium is proposed here and embedded within the spatial generalized linear mixed model to clarify concepts of spatial patterns and guide epidemiological research and teaching.</p>","PeriodicalId":23550,"journal":{"name":"Veterinaria italiana","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Veterinaria italiana","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.12834/VetIt.3483.27128.3","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

One health is based on an interdisciplinary collaboration across professions using a common language. Geographic epidemiology is the study of spatial patterns of population health in a study area. Such spatial patterns (trend, cluster and clustering) require clear definition to be meaningful in science communication. However, the term "disease cluster" has been defined in the literature in various and rather different ways. When geographic epidemiology is unable to make sense of its own concepts it is questionable how respective research results can benefit one health. The goal of this study was to clarify the disease cluster concept. Examples of disease cluster definitions from the literature were used for illustration. The epidemiological triangle of causation (agent, host and environment) was used to conceptualize geographic epidemiological data analysis. The term disease cluster was distinguished from related concepts (clustering, high-risk area, hot spot and outbreak) additionally the semantics and statistical meaning of expectation and prediction were reviewed to further identify the cluster concept as a statistical outlier. The new paradigm of the geographic epidemiological trillium is proposed here and embedded within the spatial generalized linear mixed model to clarify concepts of spatial patterns and guide epidemiological research and teaching.

通讯中断 - 关于疾病群、三叶草和 "一个健康"。
一体健康 "基于使用共同语言的跨专业跨学科合作。地理流行病学是对研究区域内人口健康空间模式的研究。这种空间模式(趋势、群集和聚类)需要有明确的定义,才能在科学传播中具有意义。然而,文献中对 "疾病群 "一词的定义多种多样,差异相当大。当地理流行病学无法理解自身的概念时,其研究成果如何造福人类健康就成了问题。本研究的目的是澄清疾病群的概念。文献中的疾病集群定义实例被用来进行说明。使用流行病学的三角因果关系(病原体、宿主和环境)来构思地理流行病学数据分析。疾病集群一词与相关概念(集群、高风险地区、热点和爆发)有所区别,此外,还回顾了预期和预测的语义和统计含义,以进一步确定集群概念是一个统计离群值。本文提出了地理流行病学三叶草的新范式,并将其嵌入空间广义线性混合模型中,以澄清空间模式的概念并指导流行病学研究和教学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Veterinaria italiana
Veterinaria italiana VETERINARY SCIENCES-
CiteScore
1.50
自引率
0.00%
发文量
2
审稿时长
>12 weeks
期刊介绍: The journal was created as the Croce Azzurra in 1950. A quarterly peer-reviewed journal devoted to veterinary public health and other aspects of veterinary science and medicine, Veterinaria Italiana is published by the Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise ‘G. Caporale’ (Istituto Zooprofilattico Sperimentale dell''Abruzzo e del Molise) in Teramo, Italy. The goal of the journal is to provide an international platform for veterinary public health information from Italy and other countries, particularly those in Eastern Europe and Africa, Asia and South America. Veterinarians and veterinary public health specialists are encouraged to share their knowledge and experience on this platform.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信