Bio-mathematics, Statistics, and Nano-Technologies Mosquito Control Strategies

Finding effective methods for mosquito control remains one of the great global challenges facing this generation. Bio-mathematics, Statistics and Nano-Technologies: Mosquito Control Strategies brings together experts from a large array of disciplines in order to provide a comprehensive overview of cutting-edge techniques to model, analyse and combat mosquito-transmitted vector-borne diseases. Features Includes multiple case studies Suitable for scientists and professionals working on methods for mosquito control and epidemiology Provide a much-needed focal point for interdisciplinary discussion

Chapter 1. Introduction and Overview.Peyman Ghaffari Section I. Control of Mosquitoes and Their World: An Overview. Chapter 2. Practical Control Methods and New Techniques for Mosquito Control.Rui-De Xue, Steve Peper, and Gunter C. MullerChapter 3. Concepts of the Best Management Practices for Integrated Pest, Mosquito, and Vector Management.Rui-De Xue and Tong-Yan ZhaoChapter 4. Overview of Personal Protection Measures Through the Innovative Use of Repellent-Textiles.Asghar Talbalaghi, Sahar Hassandoust, and Chinazom EnukohaChapter 5. Biology, Surveillance and Control of Mosquito Vectors.Elton RogoziSection II. Mathematical Modelling Immunity: An Overview based on Malaria.Chapter 6. Models of Acquired Immunity to Malaria: A Review.Miracle Amadi, Gerry Killeen, and Heikki HaarioSection III. Mathematical Epidemiology including Mosquito Dynamics and Control Theory.Chapter 7. Multi-strain Host-vector Dengue Modelling: Dynamics and Control.Peter Rashkov, Ezio Venturino, and Bob W. KooiChapter 8. Mathematical Models and Optimal Control in Mosquito Transmitted Diseases.Peyman Ghaffari, Cristiana J. Silva, and Delfim F. M. TorresSection IV. Topological Studies: Topology Meets Mosquito Control.Chapter 9. On The Shape and Design of Mosquito Abatement Districts.James R. Bozeman Section V. Chemometric and Mathematical Approach for Modelling and Designing Mosquito Repellents.Chapter 10. A Multiplatform Chemometric Approach to Molecular and Mathematical Modeling of Mosquito Repellents. Ellen Kalesi Gondwe Mhango, Baxter Hepburn Kachingwe, Peter E. Olumese, Precious Ngwalero Katundu, Kamunkhwala Gausi, Sveinbjorn Gizurarson*Section VI. Pharmacy Meets Mosquito Control: Using Pharmacological Tools Combating Mosquito Transmitted VBDs.Chapter 11. Pharmacological Approach to Combat Mosquito Transmitted Malaria.Ellen Kalesi Gondwe Mhango, Baxter Hepburn Kachingwe, Peter E. Olumese, Precious Ngwalero Katundu, Kamunkhwala Gausi, and Sveinbjorn GizurarsonSection VII. Using Natural Oils Combatting Mosquitos: An Overview.Chapter 12. Plant based Repellents: Green Mosquito Control.Kiril Lisichkov, Katerina Atkovska, Erhan Mustafa, Stefan Kuvendziev, and Mirko MarinkovskiChapter 13. Micrcencapsulation of Essential Oils for Antimicrobial Function and Mosquito Repellency.Katie Lair, Anita Soroh, and Jinsong Shen Section VIII. Textiles and Paints as Mosquito Control Tools. Chapter 14. Mosquito Repellent against Anopheles SPP. and Aedes Aegypti on Cotton Fabric.Ana Marija Grancaric, Lea Botteri, Peyman Ghaffari, José Heriberto Oliveira do Nascimento, Renata Antonaci Gama, Leon Rivaldo, and Renato Cesar de Melo FreireChapter 15. Silica-Based Organic-Inorganic Hybrid Treatments as Anti-Mosquito Textile Finishing.Veronica Migani, Ana Marija Grancaric, Maria Rosaria Plutino, Valentina Trovato, and Giuseppe RosaceChapter 16. Cotton and Polyester Fabrics Plasma Coated with Hydrogenated Amorphous Carbon Films.Melanie Fritz, Ana Marija Grancaric, Lea Botteri, and Christian B. Fischer Section IX. Testing Methods for Treated Textiles with Mosquito-Repellents: An Overview.Chapter 17. Testing Methods for Mosquito-Repellent Treated Textiles. Sveinbjorn Gizurarson*, Precious Ngwalero Katundu, Emmanuel Mwathunga, Gudlaug Maria Sveinbjornsdottir, Urdur Njardvik, Titha Dzowela, Wilfred Dodoli, Kristin Linda Ragnarsdottir Section X. Case Studies: Putting the Knowledge into Action.Chapter 18. A Case Study: How the Rephaiah Project Combats Malaria in Young Children.Sveinbjorn Gizurarson, Precious Ngwalero Katundu, Emmanuel Mwathunga, Gudlaug María Sveinbjörnsdóttir, Urdur Njardvík, Titha Dzowela, Wilfred Dodoli, and Kristín Linda Ragnarsdóttir Chapter 19. Strengthening the control of mosquito vectors in Cabo Verde; New Approaches to Improve Intervention Strategies.Lara Ferrero Gómez, Derciliano Lopes da Cruz, Morgana do Nascimento Xavier, Deinilson Conselheiro Mendes, Rosângela Maria Rodrigues Barbosa, Constância Flávia Junqueira Ayres, and Hélio Daniel Ribeiro Rocha

Dr Peyman Ghaffari received his Ph.D. in Mathematical-Physics (Non-linear Dynamics and Complex Systems) at Imperial College (London) 1997. He also received his M.S. (German Diploma in Physics) 1993 in Theoretical Plasma Physics at University of Düsseldorf (Germany). After completing his PhD at Imperial College, he worked as an industrial consultant in Germany and UAE for 12 years focusing on establishing Joint-Ventures between International companies wanting to penetrate the Middle Eastern and European markets. In 2006 Dr. Ghaffari returned to academia as a visiting/associate scientist at Imperial College, parallel to his consultancy. In 2007 he co-founded the "Complexity and Interdisciplinary Research Centre (CIRC)" at Imperial College providing a platform to transmit the ideas of "Complexity Research" into Industry. Since March 2010 until Dec 2018, he has worked at the University of Lisbon in the Biomathematics and Statistics Group and has participated in several scientific projects resulting in associated scientific articles. Since 2020 he is continuing his research as an associate researcher at CIDMA (University of Aveiro). In June 2017 he won the prestigious EU- COST Grant (CA16227) as proposal writer (estimates for 4 years ca. 700.000 Euro). Since Sept. 2017 he has been the Chair of this Action (www.imaac.eu) with around 100 members in around 35 countries involved. He also founded a yearly Training School ("International Training School on Optimal Control Theory and Mosquito Control Strategies") in 2018 and a yearly conference in 2019 on Political Decision Making and Vector-Borne Diseases aiming to bring political decision makers and scientists together. Dr. Ghaffari is working now on application of Optimal Control Theory on deterministic and stochastic epidemiological models. Other scientific interests include Complex Systems, Self-Organization, Fractional Derivatives, Neuronal Networks and Industrial Mathematics.