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RECORD NUMBER: 11 OF 19

Main Title Modelling parasite transmission and control /
Other Authors
Author Title of a Work
Michael, Edwin.
Spear, Robert C.,
Publisher Springer Science+Business Media ; Landes Bioscience,
Year Published 2010
OCLC Number 498979315
ISBN 9781441960634; 1441960635
Subjects Communicable diseases--Transmission--Mathematical models ; Parasites--pathogenicity ; Disease Vectors ; Models, Theoretical
Internet Access
Description Access URL
Contributor biographical information http://catdir.loc.gov/catdir/enhancements/fy1106/2010001263-b.html
Publisher description http://catdir.loc.gov/catdir/enhancements/fy1106/2010001263-d.html
1850-9999 http://www.springer.com/gb/
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
ELBM  RA639.M627 2010 AWBERC Library/Cincinnati,OH 09/08/2020
Collation xxiii, 215 pages : illustrations (some color) ; 26 cm.
Notes
Includes bibliographical references and index.
Contents Notes
Progress in modelling malaria transmission -- Vector transmission heterogeneity and the population dynamics and control of lymphatic filariasis -- Modelling multi-species parasite transmission -- Metapopulation models in tick-borne disease transmission modelling -- Modelling stochastic transmission processes in helminth infections -- Modelling environmentally-mediated infectious diseases of humans: transmission dynamics of schistosomiasis in China -- Parameter estimation and site-specific calibration of disease transmission models -- Modelling malaria population structure and its implications for control -- Mathematical modelling of the epidemiology of tuberculosis -- Modelling trachoma for control programmes -- Transmission models and management of lymphatic filariasis elimination -- Disease transmission models for public health decision-making : designing intervention strategies for Schistosoma japonicum -- Modelling climate change and malaria transmission -- Modelling the transmission of Trypanosoma cruzi : the need for an integrated genetic epidemiological and population genomics approach.