散发性食源性疾病危险因素的观察性研究系统评价和荟萃分析建模策略

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Ursula Gonzales-Barron , Anne Thébault , Pauline Kooh , Laurence Watier , Moez Sanaa , Vasco Cadavez
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引用次数: 21

摘要

为了设计有效的公共卫生战略,特别是有效的食品安全干预措施,以减轻食源性疾病的负担,应确定最重要的肠道疾病来源。长期以来,病例对照和队列观察研究一直是流行病学家调查暴露与疾病之间关系的有力方法。在文献中,有许多病例对照和队列研究报告了散发食源性感染的危险因素和传播途径的结果。本文的目的是深入描述多种危险因素与11种食物和水传播疾病(即非伤寒沙门氏菌病、弯曲杆菌病、志贺毒素大肠杆菌感染、李斯特菌病、耶尔森菌病、弓形虫病、诺如病毒感染、甲型肝炎、戊型肝炎、隐孢子虫病和贾第虫病)之间关联的系统评价和meta分析所实施的策略。首先,本文描述了在五种书目引擎中进行系统检索、筛选相关性和根据预先设定的标准评估方法质量的过程。报告接着解释了一项广泛的数据分类计划,该计划将风险因素按等级划分为旅行、宿主特定因素和接触途径(即人与人、动物、环境和食物途径),目的是协调和支持整合调查各种潜在疾病决定因素的研究结果。接下来,本文描述了为了计算而设计的四种荟萃分析模型:(i)按地理区域因特定风险因素而患该疾病的总体几率比;(二)因不同危险因素而患病的总几率比;(iii)因食用即食食物及烧烤食物而引致疾病的整体风险;(iv)食物处理(即在生的、未煮熟的或未清洗的状态下食用食物)和食物制备环境(即食用在家外制备的食物)对疾病风险的总体影响。敏感性分析和去除任何有影响和潜在偏差的比值比的程序;并概述了两种评价发表偏倚的方法。最后,详细说明了与特定食源性危害的标准风险分类方案的偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategy for systematic review of observational studies and meta-analysis modelling of risk factors for sporadic foodborne diseases

In order to design effective public health strategies, and, in particular, effective food safety interventions to reduce the burden of foodborne disease, the most important sources of enteric illnesses should be identified. Both case-control and cohort observational studies have for long been powerful approaches among epidemiologists to investigate the association of exposure and illness. In the literature, there are numerous case-control and cohort studies reporting results on risk factors and routes of transmission of sporadic foodborne infections. The objective of this article is to describe, in depth, the strategies implemented for systematic review and meta-analysis of the associations between multiple risk factors and eleven food and waterborne diseases, namely, non-typhoidal salmonellosis, campylobacteriosis, Shiga-toxin E. coli infection, listeriosis, yersiniosis, toxoplasmosis, norovirus infection, hepatitis A, hepatitis E, cryptosporidiosis and giardiasis. First, this article describes the procedures of systematic searches in five bibliographic engines, screening of relevance and assessment of methodological quality according to pre-set criteria. It proceeds with the explanation of a broad data categorisation scheme established to hierarchically group the risk factors into travel, host-specific factors and pathways of exposure (i.e., person-to-person, animal, environment and food routes), with views to harmonising and supporting the integration of outcomes from studies investigating a variety of potential determinants of disease. Next, the article describes the four meta-analysis models that were devised in order to calculate: (i) overall odds-ratios of acquiring the disease due to a specific risk factor by geographical region; (ii) overall odds-ratios of acquiring the disease from the different risk factors; (iii) overall risks of disease from consumption of ready-to-eat and barbecued foods; and (iv) overall effects of food handling (i.e., consuming food in raw, undercooked or unwashed state) and food preparation setting (i.e., eating food prepared outside the home) on risk of disease. The procedures for sensitivity analysis and removal of any influential and potentially-biased odds-ratio; and two methods for publication bias assessment are outlined. Finally, details are given on deviations from the standard risk categorisation scheme for specific foodborne hazards.

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来源期刊
Microbial Risk Analysis
Microbial Risk Analysis Medicine-Microbiology (medical)
CiteScore
5.70
自引率
7.10%
发文量
28
审稿时长
52 days
期刊介绍: The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.
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