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Parameter identification for a stochastic SEIRS epidemic model: case study influenza
Anna Mummert,
Olusegun M. Otunuga
Research output
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Contribution to journal
›
Article
›
peer-review
25
Scopus citations
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Dive into the research topics of 'Parameter identification for a stochastic SEIRS epidemic model: case study influenza'. Together they form a unique fingerprint.
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Mathematics
Stochastic Epidemic Models
100%
Influenza
97%
Parameter Identification
91%
Generalized Method of Moments
51%
Forecast
43%
Infection
35%
Stochasticity
23%
Forecasting
20%
Fluctuations
17%
Confidence interval
15%
Model
11%
Agriculture & Biology
influenza
86%
case studies
62%
disease models
19%
methodology
19%
disease transmission
16%
confidence interval
15%
infection
15%
Medicine & Life Sciences
Human Influenza
67%
Epidemics
63%
Noise
33%
Immune System Diseases
19%
Infections
17%
Confidence Intervals
10%
Engineering & Materials Science
Identification (control systems)
64%
Method of moments
53%