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

dc.contributor.authorTasin, Md. Asik Reza
dc.date.accessioned2025-09-17T05:36:18Z
dc.date.available2025-09-17T05:36:18Z
dc.date.issued2024-07-24
dc.descriptionProject Report
dc.description.abstractMy 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14638
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14638
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectDengue Fever
dc.subjectEnvironmental Factors
dc.subjectMachine Learning
dc.subjectEpidemiology
dc.titleExploring the relationship between dengue and environmental factors in Dhaka using machine learning Md. Asik Reza Tasin
dc.typeOther

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