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Meteorological variability and infectious disease in Central Africa: a review of meteorological data quality

机译:中部非洲的气象变异性和传染病:气象数据质量的回顾

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摘要

Central African countries may bear high climate change–related infectious disease burdens because of preexisting high rates of disease, poor healthcare infrastructure, land use changes, and high environmental change vulnerabilities. However, making connections between climate and infectious diseases in this region is hampered by the paucity of high-quality meteorological data. This review analyzes the sources and quality of meteorological data used to study the interactions between weather and infectious diseases in Central African countries. Results show that 23% of studies used meteorological data that mismatched with the disease spatial scale of interest. Use of inappropriate weather data was most frequently identified in analyses using meteorological station data or gridded data products. These findings have implications for the interpretation of existing analyses and provide guidance for the use of climate data in future analyses of the connections between meteorology and infectious diseases in Central Africa.
机译:中非国家由于疾病的高发率,不良的医疗基础设施,土地利用的变化和高度的环境变化脆弱性,可能会承受与气候变化相关的高传染病负担。但是,由于缺乏高质量的气象数据,该地区的气候与传染病之间的联系受到了阻碍。这篇综述分析了用于研究中非国家天气与传染病之间相互作用的气象数据的来源和质量。结果表明,有23%的研究使用了与目标疾病空间尺度不匹配的气象数据。在使用气象站数据或网格数据产品进行的分析中,最经常发现使用不合适的天气数据。这些发现对现有分析的解释具有启示意义,并为在未来分析中部非洲气象学和传染病之间联系时使用气候数据提供指导。

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