A nonlinear programming approach for estimation of transmission parameters in childhood infectious disease using a continuous time model

Journal of the Royal Society Interface

Volumn 9, Issue 73, 2012, Pages 1983-1997

  Word, Daniel P ^a   Cummings, Derek A T ^b   Burke, Donald S ^c   Iamsirithaworn, Sopon ^d   Laird, Carl D ^a  

^a Texas AandM University   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

^d MINISTRY OF PUBLIC HEALTH   (Thailand)

Author keywords

Gauss Lobatto collocation; Infectious diseases; Mathematical programming; Measles; Nonlinear optimization

Indexed keywords

COMPUTATIONAL EFFICIENCY; CONTINUOUS TIME SYSTEMS; DIFFERENTIAL EQUATIONS; DISEASES; EFFICIENCY; MATHEMATICAL PROGRAMMING; NONLINEAR EQUATIONS; NONLINEAR PROGRAMMING; TRANSMISSIONS;

CONTINUOUS DIFFERENTIAL EQUATIONS; GAUSS-LOBATTO COLLOCATIONS; INFECTIOUS DISEASE; INFECTIOUS DISEASE MODELS; MEASLES; MODELING AND MEASUREMENT; NON-LINEAR OPTIMIZATION; NONLINEAR PROGRAMMING PROBLEM;

PARAMETER ESTIMATION;

ARTICLE; CHILD; CHILDHOOD DISEASE; DISEASE TRANSMISSION; HUMAN; INFECTION; MATHEMATICAL MODEL; MEASLES; SEASONAL VARIATION;

EID: 84865063522     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2011.0829     Document Type: Article

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