@article {15467, title = {Environmental effects on parasitic disease transmission exemplified by schistosomiasis in western China}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {104}, number = {17}, year = {2007}, note = {R01 AI 50612/AI/NIAID NIH HHS/United States
Journal Article
Research Support, N.I.H., Extramural
United States}, month = {Apr 24}, pages = {7110-5}, abstract = {

Environmental effects on the transmission of many parasitic diseases are well recognized, but the role of specific factors like climate and agricultural practices in modulating transmission is seldom characterized quantitatively. Based on studies of Schistosoma japonicum transmission in irrigated agricultural environments in western China, a mathematical model was used to quantify environmental impacts on transmission intensity. The model was calibrated by using field data from intervention studies in three villages and simulated to predict the effects of alternative control options. Both the results of these interventions and earlier epidemiological findings confirm the central role of environmental factors, particularly those relating to snail habitat and agricultural and sanitation practices. Moreover, the findings indicate the inadequacy of current niclosamide-praziquantel strategies alone to achieve sustainable interruption of transmission in some endemic areas. More generally, the analysis suggests a village-specific index of transmission potential and how this potential is modulated by time-varying factors, including climatological variables, seasonal water-contact patterns, and irrigation practices. These time-variable factors, a village\&$\#$39;s internal potential, and its connectedness to its neighbors provide a framework for evaluating the likelihood of sustained schistosomiasis transmission and suggest an approach to quantifying the role of environmental factors for other parasitic diseases.

}, keywords = {*Environment, China/epidemiology, Computer Simulation, Disease Transmission, Infectious, Models, Biological, Schistosomiasis japonica/epidemiology/*transmission, Time Factors}, isbn = {0027-8424 (Print)
0027-8424 (Linking)}, author = {Liang, S. and Seto, E. Y. and Remais, J. V. and Zhong, B. and Yang, C. and Hubbard, A. and Davis, G. M. and Gu, X. and Qiu, D. and Spear, R. C.} }