Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models
Submitted: 19 December 2014
Accepted: 19 December 2014
Published: 1 November 2010
Accepted: 19 December 2014
Abstract Views: 2530
PDF: 1143
Publisher's note
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Jiangsu Institute of Parasitic Diseases, Meiyuan Yangxiang 117, Wuxi, China.
Jiangsu Institute of Parasitic Diseases, Meiyuan Yangxiang 117, Wuxi, China.
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Pathobiological Sciences, Skip Bertman Drive, Louisiana State University, Baton Rouge, LA, China.
Pathobiological Sciences, Skip Bertman Drive, Louisiana State University, Baton Rouge, LA, China.
Department of Epidemiology and Public
Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Department of Epidemiology and Public
Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Ingerod, Brastad, Switzerland.
Department of Epidemiology and Public
Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
How to Cite
Yang, G.-J., Gao, Q., Zhou, S.-S., Malone, J. B., McCarroll, J. C., Tanner, M., Vounatsou, P., Bergquist, R., Utzinger, J., & Zhou, X.-N. (2010). Mapping and predicting malaria transmission in the People’s Republic of China, using integrated biology-driven and statistical models. Geospatial Health, 5(1), 11–22. https://doi.org/10.4081/gh.2010.183
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