Bioterrorism: the statistical issues
Identifieur interne : 005957 ( Main/Curation ); précédent : 005956; suivant : 005958Bioterrorism: the statistical issues
Auteurs : Elizabeth Halloran ; Ira LonginiSource :
- Significance [ 1740-9705 ] ; 2004-12.
English descriptors
- Teeft :
- American journal, Anthrax outbreak, Average number, Bayesian decision theoretic analysis, Bioterrorism, Bioterrorism research, Bioterrorist, Bioterrorist attack, Causal inference, Charles trevelyan, Disease models, Dynamic models, Early phases, East asia, Elizabeth halloran, Emory university, Good analyses, Good data, Good studies, Infectious agent, Infectious diseases, Infectious person, Interested parties, Main issues, Mathematical modellers, Natural history, Outbreak, Pandemic, Policy makers, Process cyan process, Public health, Public health preparedness, Reproduction number, Respiratory syndrome, Rollins school, Royal society, Smallpox, Smallpox attack, Statistical methods, Statistician, Stochastic simulator, Strange bedfellows, Study designs, Understanding interventions, Unusual disease.
Abstract
Bioterrorism research has had an upsurge since the autumn of 2001. Elizabeth Halloran and Ira Longini describe particular contributions that statisticians and mathematical modellers can make to bioterrorism research related to infectious diseases. They argue that much can be learned from emerging infectious diseases that is applicable to potential bioterrorist threats.
Url:
DOI: 10.1111/j.1740-9713.2004.00062.x
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