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Generating location heatmap of dengue infected area using a novel blockchain-based crowdsourcing framework

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dc.contributor.advisor Hossain, Dr. Md. Shohrab
dc.contributor.author Khan, Md Shohel
dc.date.accessioned 2022-11-12T04:43:13Z
dc.date.available 2022-11-12T04:43:13Z
dc.date.issued 2021-06-05
dc.identifier.uri http://lib.buet.ac.bd:8080/xmlui/handle/123456789/6223
dc.description.abstract The impact of global transformation due to mosquito-borne diseases like dengue is noticeable and according to the World Health Organization, approximately 96 million people are infected by dengue per year. Moreover, the climate of tropical countries, e.g., Bangladesh is highly in favor of dengue. The initiatives taken by different organizations every year are not enough to face the challenges of dengue. To mitigate the effect of dengue, we propose a distributed crowdsourcing framework, the Dengue Tracker System in which the infected patients and the conscious citizen can submit the possible infectious locations. With the submitted data, two separate heatmaps can be generated so that the people and the concerned authority can get ready to face the challenges of dengue. Moreover, the system is deployed on the Ethereum-blockchain to enhance the security of the system. To prevent fake location data, two different token generation methods are implemented. The practical implementation of our system will help to reduce the amount of dengue infection. As a result, the premature death rate will be lessened due to the dengue virus. en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering en_US
dc.subject Infectious disease-Dengue -- Bangladesh en_US
dc.title Generating location heatmap of dengue infected area using a novel blockchain-based crowdsourcing framework en_US
dc.type Thesis-MSc en_US
dc.contributor.id 0417052095 en_US
dc.identifier.accessionNumber 118450
dc.contributor.callno 616.9095492/SHO/2021 en_US


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