Modeling infection transmission - The pursuit of complexities that matter

Epidemiology

Volumn 13, Issue 6, 2002, Pages 622-624

  Koopman, James S ^a,b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b Dept of Epidemiology SPH 1 ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HLA ANTIGEN; WART VIRUS VACCINE;

CROSS REACTION; DISEASE TRANSMISSION; HUMAN; IMMUNE SYSTEM; NOTE; OUTCOME ASSESSMENT; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; STATISTICAL ANALYSIS; STATISTICAL MODEL; UTERINE CERVIX CANCER; VIRUS INFECTION; VIRUS TRANSMISSION; WART VIRUS; COMPUTER PROGRAM; COMPUTER SIMULATION; PAPILLOMA VIRUS; THEORETICAL MODEL;

COMPUTER SIMULATION; HUMANS; MODELS, THEORETICAL; PAPILLOMAVIRIDAE; PAPILLOMAVIRUS INFECTIONS; SOFTWARE;

EID: 0036832623     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/00001648-200211000-00004     Document Type: Note

References (4)

1. Koopman JS, Jacquez G, Chick SE. New data and tools for integrating discrete and continuous modeling strategies. In: Weinstein M, Hermalin A, Stoto MA, eds. Population Health and Aging: Strengthening the Dialogue Between Epidemiology and Demography. New York: New York Academy of Sciences, 2001;268-294.
2. Hughes JP, Garnett GP, Koutsky L. The theoretical impact of a human papilloma virus vaccine. Epidemiology 2002;13:631-639.
3. Holland JH. Hidden Order: How Adaptation Builds Complexity. Reading, Massachusetts: Addison-Wesley, 1995.
4. Koopman JS, Chick SE, Simon CP, Riolo CS, Jacquez G. Stochastic effects on endemic infection levels of disseminating versus local contacts. Math Biosci 2002; in press.