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首页> 外文期刊>International Journal of Engineering and Technology >Surveillance System for Early Detection of Influenza-Like Illness (ILI) Outbreaks Based on Participatory Report of Student Absences
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Surveillance System for Early Detection of Influenza-Like Illness (ILI) Outbreaks Based on Participatory Report of Student Absences

机译:基于学生缺席参与报告的流感样疾病(ILI)爆发早期监测系统

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One of the serious problems in health sector is the existence of disease outbreaks that may increase rapidly, especially when the signs of outbreaks or potential outbreaks are too late to detect. People who perceive mild symptoms of illness are usually reluctant to go to any health units though these could be the early signs of a more serious one. Therefore, latest information from citizens about the symptoms of disease that are emerging in their nearby environment is necessary. This research proposes a surveillance system for monitoring the existence of a contagious disease known as Influenza-Like Illness (ILI). The system is designed as a participatory application that enables authorized citizens, such as high school health personnel, to report students who do not come to school because of illness along with the perceived complaints. The outcome of this research is a geographic information system that allows the health authority to detect areas affected by ILI outbreak, to analyze the spatial and temporal distribution of ILI occurrences, and to analyze the trend of data distribution presented as descriptive epidemiology reports. This research shows that participatory reports on a limited sample of data can be utilized to generate a surveillance system that is simple, flexible, and quick at recognizing the existence of disease outbreaks.
机译:卫生部门的严重问题之一是疾病暴发的数量可能迅速增加,特别是当暴发或潜在暴发的迹象为时已晚而无法发现时。感觉到轻微症状的人通常不愿去任何医疗机构,尽管这些可能是更严重疾病的早期迹象。因此,需要市民提供有关附近环境中出现的疾病症状的最新信息。这项研究提出了一种监视系统,用于监视一种称为“流感样疾病”(ILI)的传染性疾病。该系统被设计为一种参与性应用程序,使经过授权的公民(如高中医务人员)可以报告因生病而未上学的学生以及所抱怨的事物。这项研究的结果是一个地理信息系统,使卫生部门可以检测出受到ILI暴发影响的区域,分析ILI发生的时空分布,并分析以描述性流行病学报告形式呈现的数据分布趋势。这项研究表明,关于有限数据样本的参与性报告可以用于生成简单,灵活且快速识别疾病暴发的监视系统。

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