Decisions under uncertainty: a computational framework for quantification of policies addressing infectious disease epidemics

scientific article published on 17 April 2007

Decisions under uncertainty: a computational framework for quantification of policies addressing infectious disease epidemics is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1007/S00477-007-0137-Y
P932PMC publication ID7088115
P698PubMed publication ID32214899

P2093author name stringArmin R Mikler
Suhasini Ramisetty-Mikler
Sangeeta Venkatachalam
P2860cites workStrategies for containing an emerging influenza pandemic in Southeast AsiaQ29618561
Containing pandemic influenza at the source.Q30351179
Targeted social distancing design for pandemic influenzaQ30359713
Methods in health service research. An introduction to bayesian methods in health technology assessmentQ33716256
The web of human sexual contacts.Q33952386
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Influenza epidemics in the United States, France, and Australia, 1972-1997Q35879214
Tutorial in biostatistics Bayesian data monitoring in clinical trials.Q36872392
Prediction of community prevalence of human onchocerciasis in the Amazonian onchocerciasis focus: Bayesian approachQ36947897
Bayesian analysis of an epidemiologic model of Plasmodium falciparum malaria infection in Ndiop, SenegalQ44144334
A structured epidemic model incorporating geographic mobility among regions.Q47199391
Place characteristics and residential location choice among the retirement-age populationQ47739587
The effects of migration on the detection of geographic differences in disease riskQ78383462
P433issue5
P921main subjectsoftware frameworkQ271680
infectious diseaseQ18123741
P304page(s)533
P577publication date2007-04-17
P1433published inStochastic Environmental Research and Risk AssessmentQ15760514
P1476titleDecisions under uncertainty: a computational framework for quantification of policies addressing infectious disease epidemics
P478volume21

Reverse relations

Q27486647Data-driven exploration of 'spatial pattern-time process-driving forces' associations of SARS epidemic in Beijing, Chinacites workP2860

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