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- John A. Jacquez, Carl P. Simon
- SIAM Review
- 1993

- Leonard M. Sander, Christopher P. Warren, Igor M. Sokolov, Carl P. Simon, James S. Koopman
- Mathematical biosciences
- 2002

We consider a spatial model related to bond percolation for the spread of a disease that includes variation in the susceptibility to infection. We work on a lattice with random bond strengths and show that with strong heterogeneity, i.e. a wide range of variation of susceptibility, patchiness in the spread of the epidemic is very likely, and the criterion… (More)

- John A. Jacquez, Carl P. Simon
- Mathematical biosciences
- 1993

We compare the stochastic and deterministic versions of an SI model with recruitment, background deaths, and deaths due to the disease. For the stochastic version, analysis of the mean number of susceptibles, mx, and infecteds, m(y), and of the means conditioned on nonextinction of the infection, m*x and m*y, shows that (1) if R0 < or = 1, the disease dies… (More)

- Yongli Zhang, Carl F. Marrs, Carl P. Simon, Chuanwu Xi
- The Science of the total environment
- 2009

The occurrence and spread of multi-drug resistant bacteria is a pressing public health problem. The emergence of bacterial resistance to antibiotics is common in areas where antibiotics are heavily used, and antibiotic-resistant bacteria also increasingly occur in aquatic environments. The purpose of the present study was to evaluate the impact of the… (More)

- James S. Koopman, John A. Jacquez, +6 authors Kezia J Lange
- Journal of acquired immune deficiency syndromes…
- 1997

The combination of two factors gives early HIV infection an especially strong influence on transmission dynamics: (a) increased transmission probabilities and (b) increased transmission potential of partners infected during this period. Most attention has been focused on the first factor because it fits the way we usually think about risk factors affecting… (More)

- John A. Jacquez, James S. Koopman, Carl P. Simon, Ira M. Longini
- Journal of acquired immune deficiency syndromes
- 1994

A review of the data on infectivity per contact for transmission of the HIV suggests that the infectivity may be on the order of 0.1-0.3 per anal intercourse in the period of the initial infection, 10(-4) to 10(-3) in the long asymptomatic period, and 10(-3) to 10(-2) in the period leading into AIDS. The pattern of high contagiousness during the primary… (More)

- John A. Jacquez, Carl P. Simon
- Mathematical biosciences
- 2002

Dynamic models of many processes in the biological and physical sciences give systems of ordinary differential equations called compartmental systems. Often, these systems include time lags; in this context, continuous probability density functions (pdfs) of lags are far more important than discrete lags. There is a relatively complete theory of… (More)

- Chuanwu Xi, Yongli Zhang, +4 authors Jerome O. Nriagu
- Applied and environmental microbiology
- 2009

The occurrence and spread of antibiotic-resistant bacteria (ARB) are pressing public health problems worldwide, and aquatic ecosystems are a recognized reservoir for ARB. We used culture-dependent methods and quantitative molecular techniques to detect and quantify ARB and antibiotic resistance genes (ARGs) in source waters, drinking water treatment plants,… (More)

- James S. Koopman, Carl P. Simon, John A. Jacquez, J G Joseph, Lisa Sattenspiel, Taehwan Park
- Journal of acquired immune deficiency syndromes
- 1988

Deterministic simulation models are used to show that HIV transmission dynamics in homosexual populations can be strongly affected by sexual partner selectiveness. The type of selectiveness or biased mixing examined is where individuals with similar new partnership formation rates are more likely to form a pair than would be expected by chance. The effect… (More)

- James S. Koopman, Ira M. Longini, +4 authors David M. Woodcock
- American journal of epidemiology
- 1991

Commonly used measures of effect, such as risk ratios and odds ratios, may be quite biased when used to assess the effect of factors that alter transmission risks given exposure to infected individuals. This is demonstrated in a simulation model involving a higher-risk behavior and a lower-risk behavior affecting the sexual transmission of human… (More)