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Estimation of force of infection based on different epidemiological proxies: 2009/2010 Influenza epidemic in Malta
V. Marmara, A. Cook,
A. Kleczkowski
Mathematics And Statistics
Research output
:
Contribution to journal
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Article
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peer-review
6
Citations (Scopus)
2369
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Dive into the research topics of 'Estimation of force of infection based on different epidemiological proxies: 2009/2010 Influenza epidemic in Malta'. Together they form a unique fingerprint.
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Medicine and Dentistry
Consultation
66%
Diagnosis
66%
Disease
33%
Disease Outbreaks
33%
Drive
33%
Epidemic
33%
Health
33%
Infection
100%
Influenza
66%
Influenza A Virus (H1N1)
66%
Physician
100%
Seasonal Influenza
100%
Immunology and Microbiology
Basic Reproduction Number
33%
Force
100%
Health
33%
Infectious Disease
33%
Influenza
100%
Influenza A Virus (H1N1)
66%
Length
33%
Sampling
33%
Time
33%
Pharmacology, Toxicology and Pharmaceutical Science
Diseases
33%
Epidemic
33%
Infection
100%
Influenza
66%
Influenza A Virus (H1N1)
66%
Seasonal Influenza
100%
Computer Science
And-States
33%
Data Collection
33%
Diagnosis
66%
Records
33%
Relationships
66%
Sampling Rate
33%
Testing
33%
Economics, Econometrics and Finance
Bayesian
33%
Information
66%