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

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

Internet

http://hdl.handle.net/20.500.11937/77045

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