A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2023.
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| 言語: | English |
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Brac University
2024
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| オンライン･アクセス: | http://hdl.handle.net/10361/22176 |
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10361-221762024-01-17T21:02:36Z A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue Hossain, Md.Murad Khair, Nishat Zareen School of Pharmacy, Brac University Dengue Mosquito-borne viral disease Aedes mosquito Prevention Mosquito traps Artificial Intelligence (AI) Machine learning(ML) Dengue fever--Prevention. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 32-38). Dengue fever is a significant public health concern worldwide. It is a vector-borne disease caused by the dengue virus and transmitted to humans through the bites of infected Aedes mosquitoes. There is currently no specific treatment or vaccine for dengue fever, and prevention remains the most effective strategy for controlling the disease. The review aims to provide a comprehensive overview of the various prevention methods available for detecting Aedes aegypti mosquito. In this review, various surveillance techniques were analyzed for each method and evaluating their effectiveness, feasibility, and sustainability in various settings. The review also explores the challenges and opportunities for implementing these prevention strategies, particularly in Bangladesh. Larval Survey method might be one of the most effective techniques for Bangladesh for its case of work, feasibility and cost effectiveness but it is time consuming. For this reason, In Bangladesh, the implementation of artificial intelligence and machine learning algorithms in dengue surveillance will be a promising development that could provide faster and more accurate information on outbreaks Md.Murad Hossain B. Pharmacy 2024-01-17T05:21:32Z 2024-01-17T05:21:32Z 2023 2023-03 Thesis ID 18346096 http://hdl.handle.net/10361/22176 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 50 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Dengue Mosquito-borne viral disease Aedes mosquito Prevention Mosquito traps Artificial Intelligence (AI) Machine learning(ML) Dengue fever--Prevention. |
| spellingShingle |
Dengue Mosquito-borne viral disease Aedes mosquito Prevention Mosquito traps Artificial Intelligence (AI) Machine learning(ML) Dengue fever--Prevention. Hossain, Md.Murad A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2023. |
| author2 |
Khair, Nishat Zareen |
| author_facet |
Khair, Nishat Zareen Hossain, Md.Murad |
| format |
Thesis |
| author |
Hossain, Md.Murad |
| author_sort |
Hossain, Md.Murad |
| title |
A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue |
| title_short |
A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue |
| title_full |
A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue |
| title_fullStr |
A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue |
| title_full_unstemmed |
A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue |
| title_sort |
review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22176 |
| work_keys_str_mv |
AT hossainmdmurad areviewonthesurveillancemethodsoftheaedesaegyptimosquitoforthepreventionofdengue AT hossainmdmurad reviewonthesurveillancemethodsoftheaedesaegyptimosquitoforthepreventionofdengue |
| _version_ |
1814308497234329600 |