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Molecular identification of mosquito...

Barik, Tapan Kumar.

Molecular identification of mosquito vectors and their management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Molecular identification of mosquito vectors and their managementedited by Tapan Kumar Barik.
其他作者:	Barik, Tapan Kumar.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xi, 225 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mosquitoes as carriers of disease.
電子資源:	https://doi.org/10.1007/978-981-15-9456-4
ISBN:	9789811594564$q(electronic bk.)

Molecular identification of mosquito vectors and their management
Molecular identification of mosquito vectors and their management[electronic resource] /edited by Tapan Kumar Barik. - Singapore :Springer Singapore :2020. - xi, 225 p. :ill., digital ;24 cm.

Chapter 1. Unravelling Mosquito Species Complex through DNA barcodes: Complementing Morphological Identification for Accurate Discrimination -- Chapter 2. From Linnaean system to Machine learning based-SNP Barcoding: A changing epitome of mosquito species Identification -- Chapter 3. Chemical methods for control of Mosquito vectors -- Chapter 4. Use of Phytochemicals: A promising and eco-friendly approach for the management of mosquito vector populations -- Chapter 5. Toxins of Bacillus thuringiensis: A novel microbial insecticide for mosquito vector control -- Chapter 6. Biocontrol of mosquito Vectors: A new dimension to prevent mosquito borne diseases -- Chapter 7. Environmental management and sustainable control of mosquito vector : challenges and opportunities -- Chapter 8. Mosquito Repellent: A Novel Approach for Human Protection -- Chapter 9. Nano-biotechnology: A new window for management of mosquito vectors -- Chapter 10. Application of radiation for the management of mosquito vectors.

This book summarizes the recent advancements in identifying the mosquito vectors and discusses various strategies for their control. The book describes various molecular taxonomic methods, including DNA barcoding and single nucleotide polymorphism-based machine learning approach, which are used for the identification of mosquito vectors. It also presents the various mosquito control methods, namely, phytochemicals, Bacillus thuringiensis toxins, nanotechnology, biological control agents, and environmental management strategies. It also highlights the importance of various repellents that are used for protection from different kinds of mosquito vectors. Finally, the book offers a comprehensive yet representative description of challenges associated with mosquito vector-borne diseases. The book is a useful resource for medical entomologists, health workers, and researchers working in mosquito-control and vector-borne diseases.

ISBN: 9789811594564$q(electronic bk.)

Standard No.: 10.1007/978-981-15-9456-4doiSubjects--Topical Terms:

824474
Mosquitoes as carriers of disease.

LC Class. No.: RA640 / .M65 2020

Dewey Class. No.: 571.986

Molecular identification of mosquito vectors and their management
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505 0 $a Chapter 1. Unravelling Mosquito Species Complex through DNA barcodes: Complementing Morphological Identification for Accurate Discrimination -- Chapter 2. From Linnaean system to Machine learning based-SNP Barcoding: A changing epitome of mosquito species Identification -- Chapter 3. Chemical methods for control of Mosquito vectors -- Chapter 4. Use of Phytochemicals: A promising and eco-friendly approach for the management of mosquito vector populations -- Chapter 5. Toxins of Bacillus thuringiensis: A novel microbial insecticide for mosquito vector control -- Chapter 6. Biocontrol of mosquito Vectors: A new dimension to prevent mosquito borne diseases -- Chapter 7. Environmental management and sustainable control of mosquito vector : challenges and opportunities -- Chapter 8. Mosquito Repellent: A Novel Approach for Human Protection -- Chapter 9. Nano-biotechnology: A new window for management of mosquito vectors -- Chapter 10. Application of radiation for the management of mosquito vectors.
520 $a This book summarizes the recent advancements in identifying the mosquito vectors and discusses various strategies for their control. The book describes various molecular taxonomic methods, including DNA barcoding and single nucleotide polymorphism-based machine learning approach, which are used for the identification of mosquito vectors. It also presents the various mosquito control methods, namely, phytochemicals, Bacillus thuringiensis toxins, nanotechnology, biological control agents, and environmental management strategies. It also highlights the importance of various repellents that are used for protection from different kinds of mosquito vectors. Finally, the book offers a comprehensive yet representative description of challenges associated with mosquito vector-borne diseases. The book is a useful resource for medical entomologists, health workers, and researchers working in mosquito-control and vector-borne diseases.
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