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Combining process-based and correlative models improves predictions of climate change effects on
Schistosoma mansoni
transmission in eastern Africa
Anna-Sofie Stensgaard
, Mark Booth, Grigory Nikulin, Nicky McCreesh
Education Board
19
Citations (Scopus)
63
Downloads (Pure)
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Dive into the research topics of 'Combining process-based and correlative models improves predictions of climate change effects on
Schistosoma mansoni
transmission in eastern Africa'. Together they form a unique fingerprint.
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Keyphrases
Climate Change Impacts
100%
Schistosoma Mansoni
100%
Snail Habitats
100%
Habitat Suitability
100%
Correlative Models
100%
Eastern Africa
100%
Statistical Model
66%
Schistosomiasis
66%
Intermediate Host Snail
66%
Temperature-driven
33%
Changes in Risk
33%
Africa Region
33%
Epidemiological Process
33%
Model Output
33%
Climate Change
33%
Process-based
33%
Land Use Change
33%
Agent-based Model
33%
Increasing Risk
33%
Increased Temperature
33%
System Behavior
33%
Temperature Sensitivity
33%
Biological Processes
33%
Combined Model
33%
Prevalence Data
33%
Current Distribution
33%
Environmental Factors
33%
Mechanistic Approach
33%
Driving Model
33%
Agricultural and Biological Sciences
Schistosoma Mansoni
100%
Climate Change
100%
Snail
100%
Mathematical Model
20%
Land Use Change
20%
Statistical Model
20%
Environmental Factor
20%