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首页> 外文期刊>Environmental Monitoring and Assessment >Smartphone geospatial apps for dengue control, prevention, prediction, and education: MOSapp, DISapp, and the mosquito perception index (MPI)
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Smartphone geospatial apps for dengue control, prevention, prediction, and education: MOSapp, DISapp, and the mosquito perception index (MPI)

机译：用于登革热控制，预防，预测和教育的智能手机地理空间应用程序：MOSapp，DISapp和蚊子感知指数（MPI）

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India has the largest number of dengue cases in the world, contributing approximately 34% of the global burden. The framework for a geospatially enabled early warning and adaptive response system (EWARS) was first proposed in 2008. It was meant to be a decision support system for enhancing traditional surveillance methods for preventing mosquito-borne diseases in India by utilizing remote sensing data and fuzzy logic-based mathematical predictive modeling. This conceptual paper presents a significant evolution of EWARS such that it synthesizes inputs from not only traditional surveillance and reporting systems for dengue but also from the public via participatory disease surveillance. Two smartphone-based applications have been developed to support EWARS. The firstMOSappallows field health workers to upload surveillance data and collect key data on environmental parameters by both direct observation and via portable microclimate stations. The secondDISappcollects relevant information directly from the community to support participatory disease surveillance. It also gives the user a real-time estimate of the risk of exposure to dengue in proximity to their home and has an educational component that provides information on relevant preventive measures. Both applications utilize a new mosquito abundance measurethe mosquito perception index (MPI)as reported by the user. These data streams will feed into the EWARS model to generate dynamic risk maps that can guide resource optimization and strengthen disease surveillance, prevention, and response. It is anticipated that such an approach can assist in addressing gaps in the current system of dengue surveillance and control in India.
机译：印度是世界上登革热病例最多的国家，约占全球负担的34％。于2008年首次提出了具有地理空间功能的预警和自适应响应系统（EWARS）的框架。该框架旨在成为决策支持系统，用于通过利用遥感数据和模糊信息来增强印度预防蚊媒疾病的传统监视方法。基于逻辑的数学预测建模。该概念文件介绍了EWARS的重大发展，它不仅综合了传统的登革热监测和报告系统的信息，而且还通过参与性疾病监测综合了公众的信息。已经开发了两个基于智能手机的应用程序来支持EWARS。第一个MOS允许现场卫生工作者通过直接观察和通过便携式小气候站上传监视数据并收集有关环境参数的关键数据。第二个DISapp直接从社区收集相关信息，以支持参与性疾病监测。它还可以为用户提供有关其家附近登革热暴露风险的实时估计，并具有提供有关相关预防措施信息的教育内容。两种应用都利用新的蚊子丰度来测量用户报告的蚊子感知指数（MPI）。这些数据流将输入EWARS模型中，以生成动态风险图，这些图可指导资源优化并加强疾病的监测，预防和应对。可以预期，这种方法将有助于弥补印度目前登革热监视和控制系统中的空白。

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