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A protocol for a systematic literature review: comparing the impact of seasonal and meteorological parameters on acute respiratory infections in Indigenous and non-Indigenous peoples

机译:进行系统文献综述的方案:比较季节性和气象参数对土著和非土著人急性呼吸道感染的影响

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Background Acute respiratory infections (ARI) are a leading cause of morbidity and mortality globally, and are often linked to seasonal and/or meteorological conditions. Globally, Indigenous peoples may experience a different burden of ARI compared to non-Indigenous peoples. This protocol outlines our process for conducting a systematic review to investigate whether associations between ARI and seasonal or meteorological parameters differ between Indigenous and non-Indigenous groups residing in the same geographical region. Methodology A search string will be used to search PubMed?, CAB s/CAB Direct?, and Science Citation Index? aggregator databases. Articles will be screened using inclusion/exclusion criteria applied first at the title and level, and then at the full article level by two independent reviewers. Articles maintained after full article screening will undergo risk of bias assessment and data will be extracted. Heterogeneity tests, meta-analysis, and forest and funnel plots will be used to synthesize the results of eligible studies. Discussion and registration This protocol paper describes our systematic review methods to identify and analyze relevant ARI, season, and meteorological literature with robust reporting. The results are intended to improve our understanding of potential associations between seasonal and meteorological parameters and ARI and, if identified, whether this association varies by place, population, or other characteristics. The protocol is registered in the PROSPERO database (#38051).
机译:背景技术急性呼吸道感染(ARI)是全球发病率和死亡率的主要原因,通常与季节性和/或气象条件相关。在全球范围内,与非土著人民相比,土著人民可能会承受不同的ARI负担。该协议概述了我们进行系统审查的过程,以调查ARI和季节性或气象参数之间的关联是否存在于同一地理区域的土著和非土著群体之间。方法将使用搜索字符串来搜索PubMed ?,CAB s / CAB Direct ?和Science Citation Index ?聚合器数据库。文章的筛选将使用首先在标题和级别上应用的包含/排除标准,然后由两名独立的审阅者在全文级别上应用。经过全面物品筛选后维护的物品将承受偏差评估的风险,并将提取数据。异质性测试,荟萃分析以及森林和漏斗图将用于合成合格研究的结果。讨论和注册本协议文件描述了我们的系统综述方法,可通过可靠的报告来识别和分析相关ARI,季节和气象文献。该结果旨在增进我们对季节性和气象参数与ARI之间潜在关联的理解,如果识别出这种关联是否因地点,人口或其他特征而异。该协议已在PROSPERO数据库(#38051)中注册。

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