Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis.

[1]  M. Gold Cost-effectiveness in health and medicine , 2016 .

[2]  Margaret L Brandeau,et al.  Dynamic resource allocation for epidemic control in multiple populations. , 2002, IMA journal of mathematics applied in medicine and biology.

[3]  R. Coker,et al.  Ruiz MS, Gable AR, Kaplan EH, Stoto MA, Fineberg HV, Trussell J, editors. No time to lose: getting more from HIV prevention , 2002 .

[4]  J. Habbema,et al.  Estimating the Magnitude of STD Cofactor Effects on HIV Transmission: How Well Can it Be Done? , 2001, Sexually transmitted diseases.

[5]  M L Brandeau,et al.  Optimal Investment in a Portfolio of HIV Prevention Programs , 2001, Medical decision making : an international journal of the Society for Medical Decision Making.

[6]  G S Zaric,et al.  Resource allocation for epidemic control over short time horizons. , 2001, Mathematical biosciences.

[7]  P. Kerndt,et al.  Prevalence of HIV and hepatitis B and self-reported injection risk behavior during detention among street-recruited injection drug users in Los Angeles County, 1994-1996. , 2001, Addiction.

[8]  A H van Zon,et al.  Patient flows and optimal health‐care resource allocation at the macro‐level: a dynamic linear programming approach , 1999, Health care management science.

[9]  D K Owens,et al.  An Analysis of Optimal Resource Allocation for Prevention of Infection with Human Immunodeficiency Virus (HIV) in Injection Drug Users and Non-Users , 1999, Medical decision making : an international journal of the Society for Medical Decision Making.

[10]  Edward H. Kaplan,et al.  Allocating HIV prevention resources , 1998 .

[11]  Johannes Müller,et al.  Optimal Vaccination Patterns in Age-Structured Populations , 1998, SIAM J. Appl. Math..

[12]  John Stover,et al.  Simulating the Control of a Heterosexual HIV Epidemic in a Severely Affected East African City , 1998, Interfaces.

[13]  S. Yakowitz,et al.  Nonlinear and dynamic programming for epidemic intervention , 1997 .

[14]  J. Kahn,et al.  The cost-effectiveness of HIV prevention targeting: how much more bang for the buck? , 1996, American journal of public health.

[15]  A A Stinnett,et al.  Mathematical programming for the efficient allocation of health care resources. , 1996, Journal of health economics.

[16]  R. Hayes,et al.  Modelling the impact of alternative HIV intervention strategies in rural Uganda , 1995, AIDS.

[17]  P. Kaye Infectious diseases of humans: Dynamics and control , 1993 .

[18]  A Gafni,et al.  Guidelines for the adoption of new technologies: a prescription for uncontrolled growth in expenditures and how to avoid the problem. , 1993, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.

[19]  R. Horst,et al.  Global Optimization: Deterministic Approaches , 1992 .

[20]  David Greenhalgh,et al.  Some results on optimal control applied to epidemics , 1988 .

[21]  Herbert W. Hethcote,et al.  Epidemiological models for heterogeneous populations: proportionate mixing, parameter estimation, and immunization programs , 1987 .

[22]  David Greenhalgh,et al.  Control of an epidemic spreading in a heterogeneously mixing population , 1986 .

[23]  Roy M. Anderson,et al.  Spatial heterogeneity and the design of immunization programs , 1984 .

[24]  J. Yorke,et al.  Gonorrhea Transmission Dynamics and Control , 1984 .

[25]  Herbert W. Hethcote,et al.  Gonorrhea modeling: a comparison of control methods , 1982 .

[26]  N. Ling The Mathematical Theory of Infectious Diseases and its applications , 1978 .

[27]  Suresh P. Sethi,et al.  Optimal Quarantine Programmes for Controlling an Epidemic Spread , 1978 .

[28]  S. Sethi,et al.  Optimal Control of Some Simple Deterministic Epidemic Models , 1978 .

[29]  K. Wickwire Mathematical models for the control of pests and infectious diseases: a survey. , 1977, Theoretical population biology.

[30]  Chen Mm,et al.  Maximizing health system output with political and administrative constraints using mathematical programming. , 1976 .

[31]  S. Sethi,et al.  Quantitative guidelines for communicable disease control program: a complete synthesis. , 1974, Biometrics.

[32]  C. Revelle,et al.  A mathematical model for determining case finding and treatment activities in tuberculosis control programs. , 1970, The American review of respiratory disease.

[33]  Charles Reveller,et al.  An Optimization Model of Tuberculosis Epidemiology , 1969 .

[34]  Harvey V. Fineberg,et al.  No Time To Lose: Getting More from HIV Prevention , 2001 .

[35]  E. H. Kaplan Economic Evaluation and HIV Prevention Community Planning A Policy Analyst's Perspective , 1998 .

[36]  David R. Holtgrave,et al.  Handbook of Economic Evaluation of HIV Prevention Programs , 1998, AIDS Prevention and Mental Health.

[37]  Milton C. Weinstein,et al.  Valuing health care: From cost–effectiveness ratios to resource allocation: where to draw the line? , 1995 .

[38]  S. Levin Lectu re Notes in Biomathematics , 1983 .

[39]  I. Longini,et al.  An optimization model for influenza A epidemics , 1978 .

[40]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[41]  Alexander Grey,et al.  The Mathematical Theory of Infectious Diseases and Its Applications , 1977 .

[42]  J. Bush,et al.  Maximizing health system output with political and administrative constraints using mathematical programming. , 1976, Inquiry : a journal of medical care organization, provision and financing.