Spatial distribution estimation of malaria in northern China and its scenarios in 2020, 2030, 2040 and 2050

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Spatial distribution estimation of malaria in northern China and its scenarios in 2020, 2030, 2040 and 2050

© 2016 The Author(s). Background: Malaria is one of the most severe parasitic diseases in the world. Spatial distribution estimation of malaria and its future scenarios are important issues for malaria control and elimination. Furthermore, sophisticated nonlinear relationships for prediction between...

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Bibliographic Details
Main Authors:	Song, Yongze, Ge, Y., Wang, J., Ren, Z., Liao, Y., Peng, J.
Format:	Journal Article
Language:	English
Published:	BMC 2016
Subjects:	Science & Technology Life Sciences & Biomedicine Infectious Diseases Parasitology Tropical Medicine Malaria Genetic programming Remote-sensing data Future distribution prediction Climate change scenarios Optimization algorithm PLASMODIUM-FALCIPARUM TRANSMISSION CLIMATE-CHANGE AIR-TEMPERATURE RISK PREDICTION AFRICA MAP ENDEMICITY POPULATION HIGHLANDS INTENSITY
Online Access:	http://hdl.handle.net/20.500.11937/77045

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