Bhavana Vutla, Yuva Sri Vemulapalli, Shushma Sri Kurra, C. Madhuri
{"title":"Dengue Alert System–A Life Saviour","authors":"Bhavana Vutla, Yuva Sri Vemulapalli, Shushma Sri Kurra, C. Madhuri","doi":"10.1109/ICSSS49621.2020.9202019","DOIUrl":null,"url":null,"abstract":"The outbreak of Dengue has become an alarming issue and has been a primary concern these days. The recent figures of dengue in India were at their highest with greater than 1000000 cases in the year 2019. An early mindfulness framework for dengue is intended to foresee flare-ups and forestall dengue cases by helping ideal dynamic and arrangement of right activities. It must be a system which is acknowledged and considered by the general population and would be supportable over the long haul. This paper proposes a mobile application for Dengue monitoring based on the data collected from the effected people. This application permits people to estimate whether their zone is safe or if they need to take additional precautions because there is a dengue eruption around them. There are three kinds of users visiting this application. The one's who'd like to contribute by sharing their location, the one who is doubtful that they were infected, the one who'd like to know the complete details about dengue. The users will be provided with a set of symptoms and a form that asks basic questions on their present and previous(4-10 days) locations. This can help to figure out the dengue-spread and dengue-prone areas. Based on the symptoms they've entered previously, this app displays if it's actually dengue, if so, their level of seriousness thereby suggesting the preventive measures, hospitals and specialists nearby based on the user's location.","PeriodicalId":286407,"journal":{"name":"2020 7th International Conference on Smart Structures and Systems (ICSSS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Conference on Smart Structures and Systems (ICSSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSS49621.2020.9202019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The outbreak of Dengue has become an alarming issue and has been a primary concern these days. The recent figures of dengue in India were at their highest with greater than 1000000 cases in the year 2019. An early mindfulness framework for dengue is intended to foresee flare-ups and forestall dengue cases by helping ideal dynamic and arrangement of right activities. It must be a system which is acknowledged and considered by the general population and would be supportable over the long haul. This paper proposes a mobile application for Dengue monitoring based on the data collected from the effected people. This application permits people to estimate whether their zone is safe or if they need to take additional precautions because there is a dengue eruption around them. There are three kinds of users visiting this application. The one's who'd like to contribute by sharing their location, the one who is doubtful that they were infected, the one who'd like to know the complete details about dengue. The users will be provided with a set of symptoms and a form that asks basic questions on their present and previous(4-10 days) locations. This can help to figure out the dengue-spread and dengue-prone areas. Based on the symptoms they've entered previously, this app displays if it's actually dengue, if so, their level of seriousness thereby suggesting the preventive measures, hospitals and specialists nearby based on the user's location.