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Exploring the relationship between dengue and environmental factors in Dhaka using machine learning Md. Asik Reza Tasin

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dc.contributor.author Tasin, Md. Asik Reza
dc.date.accessioned 2025-09-17T05:36:18Z
dc.date.available 2025-09-17T05:36:18Z
dc.date.issued 2024-07-24
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14638
dc.description Project Report en_US
dc.description.abstract My thesis explores how environmental factors like temperature, humidity and rainfall contribute to the spread of dengue fever in Dhaka of Bangladesh. Rapid urbanization and a dense population have created ideal conditions for mosquito breeding. It's particularly the Aedes species responsible for dengue transmission. My research aims to understand the relationship between these environmental factors and dengue outbreaks to develop better prevention and control strategies. I examined how weather patterns and urban planning deficiencies impact dengue cases by analyzing data from 2009 to 2023. It is using classification model like linear regression, Logistic regression, Naive Bayes, Decision Tree, SVM, XGBoost, Random Forest, K-Nearest Neighbors. My findings indicate that certain weather conditions during the monsoon season. It's significantly influence the incidence of dengue. The study highlights the need for improved waste and water management. Its public awareness campaigns and targeted interventions to reduce mosquito breeding sites. My research aims to support public health efforts in mitigating dengue outbreaks and enhancing community resilience in Dhaka by providing practical recommendations. My study shows the need for improved waste and water management in public awareness campaigns and targeted interventions to reduce mosquito breeding sites. Poorly maintained urban areas with stagnant water are hotspots for mosquito breeding. My research aims to support public health efforts in mitigating dengue outbreaks and enhancing community resilience in Dhaka by providing practical recommendations. My research suggests that community involvement and education are crucial in controlling the spread of dengue. It's ensuring that residents are aware of prevention methods can significantly reduce the incidence of the disease. This comprehensive approach can help protect public health and prevent future outbreaks. en_US
dc.description.sponsorship Daffodil International University en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Dengue Fever en_US
dc.subject Environmental Factors en_US
dc.subject Machine Learning en_US
dc.subject Epidemiology en_US
dc.title Exploring the relationship between dengue and environmental factors in Dhaka using machine learning Md. Asik Reza Tasin en_US
dc.type Other en_US


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