Modelling Parasite Transmission and Control

Edwin Michael

ISBN 10: 1441960635 / ISBN 13: 9781441960634

Edité par Springer New York Apr 2010, 2010

A propos de cet article

Neuware - It is clear that many fascinating problems still remain to be addressed in parasite transmission modelling, from better understanding of transmission processes and natural history of infection to investigating the impact of ecological and spatial scales, climate change, host immunity and social behaviour, parasite-host evolutionary dynamics and parasite community ecology on parasite transmission. This book captures some of the advances made in recent years and provides indications of ways forward for addressing these questions by shedding light on developments in conceptual frameworks and modelling tools as well as the emergence of new data forms for aiding model construction, testing and analysis. Another important advance has been the parallel development of robust computationally-intensive statistical methods to allow model testing and parameterization by aiding the fitting of models to complex data. This is an exciting area of work, which we believe will broaden the scope of mathematical modelling in investigating parasite transmission processes. In particular, we expect this advance will now allow modellers to begin the successful development and analysis of mechanistically-rich models of parasite transmission that will facilitate better integration of the variety of mechanisms increasingly recognized as important in simultaneously affecting transmission, including abiotic processes, trophic and evolutionary interactions, movement in space, and behaviour and evenphysiology of the individual. We foresee a continuing bright future for using mathematical modelling to clarify parasite transmission dynamics and address problems related to effective parasite control. Ultimately, through this improved application of models to research and management, we expect that parasite control would be an achievable goal bringing benefits to a vast number of our fellow human beings.

N° de réf. du vendeur 9781441960634

Détails bibliographiques

• Titre: Modelling Parasite Transmission and Control
• Éditeur: Springer New York Apr 2010
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 1441960635
• ISBN à 13 chiffres: 9781441960634
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 264 L x 174 H x 20 P (en millimètres) 264 millimètres de largeur par 174 millimètres de hauteur par 20 millimètres de profondeur
• Poids: 550 grammes

A propos de ce titre

Synopsis

It is clear that many fascinating problems still remain to be addressed in parasite transmission modelling, from better understanding of transmission processes and natural history of infection to investigating the impact of ecological and spatial scales, climate change, host immunity and social behaviour, parasite-host evolutionary dynamics and parasite community ecology on parasite transmission. This book captures some of the advances made in recent years and provides indications of ways forward for addressing these questions by shedding light on developments in conceptual frameworks and modelling tools as well as the emergence of new data forms for aiding model construction, testing and analysis. Another important advance has been the parallel development of robust computationally-intensive statistical methods to allow model testing and parameterization by aiding the fitting of models to complex data. This is an exciting area of work, which we believe will broaden the scope of mathematical modelling in investigating parasite transmission processes. In particular, we expect this advance will now allow modellers to begin the successful development and analysis of mechanistically-rich models of parasite transmission that will facilitate better integration of the variety of mechanisms increasingly recognized as important in simultaneously affecting transmission, including abiotic processes, trophic and evolutionary interactions, movement in space, and behaviour and even physiology of the individual. We foresee a continuing bright future for using mathematical modelling to clarify parasite transmission dynamics and address problems related to effective parasite control. Ultimately, through this improved application of models to research and management, we expect that parasite control would be an achievable goal bringing benefits to a vast number of our fellow human beings.

À propos de l?auteur

EDWIN MICHAEL is currently a Senior Lecturer in infectious disease epidemiology at Imperial College London, UK, with a research focus on modelling the transmission and control of tropical parasitic and infectious diseases. His main interest lies in developing a system dynamics approach to gaining a better understanding of parasite transmission, immunology, genetics and economics, in order to develop integrated mathematical models of pathogen transmission as a tool for aiding the rational design, monitoring and evaluation of large-scale intervention programmes, ranging from vector control, chemotherapy to vaccinations. He has worked extensively in Africa (primarily East Africa), India, Vietnam and Papua New Guinea, particularly over the past decade (in partnership with international (WHO, World Bank) and national institutions), in translating research on disease population biology, spatial dynamics and public health decision-making for developing reliable model-based spatial decision support tools to aid the design, surveillance and evaluation of ecologically resilient and sustainable intervention programmes against parasitic diseases of major public health importance in developing countries. His current interest is in extending this work to developing integrated ecological, economic and social systems approaches for investigating interactions between climate change, ecosystem dynamics and the socio-ecology of disease transmission in vulnerable communities.

ROBERT C. SPEAR is an engineer by training, having received the BS and MS degrees in Engineering Science and Mechanical Engineering, respectively, from the University of California at Berkeley and the PhD degree in Control Engineering from Cambridge University in 1968. After several years in the aerospace industry his interests turned to environmental issues and he returned to Berkeley in 1970 to take up a post-doctoral position in this field in the School of Public Health. He was appointed to a faculty position in 1971 and is now Professor of the Graduate School at Berkeley. His research interests focus on the assessment and quantification of human exposures to toxic and hazardous agents in the environment. His early work concerned the exposure of agricultural workers to pesticides. In more recent years his work has concerned applications of mathematical and statistical techniques in the assessment and control of exposures to both chemical and biological agents. For the past 15 years his work has been increasingly focused on determinants of the prevalence and control of the parasitic disease schistosomiasis in the mountainous regions of Sichuan Province in southwestern China.