A mathematical model of effects of environmental contamination and presence of volunteers on hospital infections in China

Journal of Theoretical Biology

Volumn 293, Issue , 2012, Pages 161-173

  Wang, Xia ^a   Xiao, Yanni ^a   Wang, Junrui ^b   Lu, Xinxin ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b CAPITAL MEDICAL UNIVERSITY   (China)

Author keywords

Intervention; Methicillin resistant Staphylococcus aureus (MRSA); Modelling; Prevalence; Semi stochastic simulation

Indexed keywords

COMPUTER SIMULATION; DISEASE CONTROL; DISEASE PREVALENCE; DISEASE TRANSMISSION; ENVIRONMENTAL RISK; HEALTH CARE; HEALTH RISK; HOSPITAL SECTOR; NUMERICAL MODEL; OCCUPATIONAL EXPOSURE; SENSITIVITY ANALYSIS; STOCHASTICITY;

ARTICLE; BACTERIAL COLONIZATION; BACTERIUM; CHINA; CLEANING; CONTROLLED STUDY; DISEASE TRANSMISSION; HAND HYGIENE; HEALTH CARE PERSONNEL; HOSPITAL ADMISSION; HOSPITAL INFECTION; HOSPITAL PATIENT; HUMAN; HYGIENE; INFECTION CONTROL; MATHEMATICAL MODEL; METHICILLIN RESISTANT STAPHYLOCOCCUS AUREUS; MICROBIAL CONTAMINATION; NURSE; PATIENT CARE; PREVALENCE; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SIMULATION; STAFF TRAINING; STOCHASTIC MODEL; VOLUNTEER;

BASIC REPRODUCTION NUMBER; CHINA; CROSS INFECTION; ENVIRONMENTAL EXPOSURE; HANDWASHING; HUMANS; HYGIENE; INFECTIOUS DISEASE TRANSMISSION, PATIENT-TO-PROFESSIONAL; INFECTIOUS DISEASE TRANSMISSION, PROFESSIONAL-TO-PATIENT; METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS; MODELS, BIOLOGICAL; PERSONNEL, HOSPITAL; STAPHYLOCOCCAL INFECTIONS; STOCHASTIC PROCESSES; VOLUNTARY WORKERS;

CHINA;

METHICILLIN RESISTANT STAPHYLOCOCCUS AUREUS; STAPHYLOCOCCUS AUREUS;

EID: 80155195145     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2011.10.009     Document Type: Article

References (25)

1. Austin D.J., Bonten M.J., Weinstein R.A., Slaughter S., Anderson R.M. Vancomycin-resistant enterococci in intensive-care hospital settings: transmission dynamics, persistence, and the impact of infection control programs. Proc. Natl. Acad. Sci. U.S.A. 1999, 96(12):6908-6913.
2. Bassetti S., Bischoff W.E., Walter M., et al. Dispersal of Staphylococcus aureus into the air associated with a rhinovirus infection. Infect. Control Hosp. Epidemiol. 2005, 26:196-203.
3. Boyce J.M., Potter-Bynoe G., Chenevert C., King T. Environmental contamination due to methicillin-resistant Staphylococcus aureus: possible infection control implications. Infect. Control Hosp. Epidemiol. 1997, 18(9):622-627.
4. Boyce J.M. Environmental contamination makes an important contribution to hospital infection. J. Hosp. Infect. 2007, 65(S2):50-54.
5. Clancy D. A stochastic SIS infection model incorporating indirect transmission. J. Appl. Prob. 2005, 42:726-737.
6. Cooper B.S., Medley G.F., Scott G.M. Preliminary analysis of the transmission dynamics of nosocomial infections: stochastic and management effects. J. Hosp. Infect. 1999, 43(2):131-147.
7. Dancer S.J. The role of environmental cleaning in the control of hospital-acquired infection. J. Hosp. Infect. 2009, 73:378-385.
8. Dancer S.J. Importance of the environment in meticillin-resistant Staphylococcus aureus acquisition: the case for hospital cleaning. Lancet Infect. Dis. 2008, 8:101-113.
9. D'Agata E.M., Webb G., Horn M. A mathematical model quantifying the impact of antibiotic exposure and other interventions on the endemic prevalence of vancomycin-resistant enterococci. J. Infect. Dis. 2005, 192(11):2004-2011.
10. Grundmann H., Hori S., Winter B., Tami A., Austin D.J. Risk factors for the transmission of methicillin-resistant Staphylococcus aureusin an adult intensive care unit: fitting a model to the data. J. Infect. Dis. 2002, 185(4):481-488.
11. Heesterbeek J., Roberts M.G. The type-reproduction number T in models for infectious disease control. Math. Biosci. 2007, 206:3-10.
12. Marino S., Hogue I.B., Ray C.J., Kirschner D.E. A methodology for performing global uncertainty and sensitivity analysis in systems biology. J. Theor. Biol. 2008, 254:178-196.
13. McBryde E.S., Pettitt A.N., McElwain D.L.S. A stochastic mathematical model of methicillin resistant Staphylococcus aureus transmission in an intensive care unit: predicting the impact of interventions. J. Theor. Biol. 2007, 245:470-481.
14. Raboud J., Saskin R., Simor A., Loeb M., Green K., Low D.E., McGeer A. Modeling transmission of methicillin-resistant Staphylococcus aureusamong patients admitted to a hospital. Infect. Control Hosp. Epidemiol. 2005, 26(7):607-615.
15. Rampling A., Wiseman S., Davis L., et al. Evidence that hospital hygiene is important in the control of methicillin-resistant Staphylococcus aureus. J. Hosp. Infect. 2001, 49:109-116.
16. Roberts M.G., Heesterbeek J. A new method to estimate the effort required to control an infectious disease. Proc. R. Soc. London, Ser. B. 2003, 270:1359-1364.
17. Saltelli, A., Chan, K., Scott, M. (Eds.), 2000. Sensitivity Analysis, Probability and Statistics Series. Wiley, New York.
18. Sebille V., Valleron A.-J. A computer simulation model for the spread of nosocomial infections caused by multidrug-resistant pathogens. Comput. Biomed. Res. 1997, 30(4):307-322.
19. Sebille V., Chevret S., Valleron A.J. Modeling the spread of resistant nosocomial pathogens in an intensive-care unit. Infect. Control Hosp. Epidemiol. 1997, 18(2):84-92.
20. Turner J., Bowers R.G., Begon M., Robinson S.E., French N.P. A semi-stochastic model of the transmission of Escherichia coli O157 in a typical UK dairy herd: Dynamics, sensitivity analysis and intervention/prevention strategies. J. Theor. Biol. 2006, 241(4):806-822.
21. van den Driessche P., Watmough J. Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 2002, 180:29-48.
22. Wang W.D., Zhao X.Q. An epidemic model in a patchy environment. Math. Biosci. 2004, 190:97-112.
23. Weber D.J., Rutala W.A. Role of environmental contamination in the transmission of vancomycin-resistant enterococci. Infect. Control Hosp. Epidemiol. 1997, 18:306-309.
24. Xiao Y., Bowers R.G., Clancy D., French N.P. Understanding the dynamics of Salmonella infections in dairy herds: a modelling approach. J. Theor. Biol. 2005, 233:159-175.
25. Xiao Y., Clancy D., French N.P., Bowers R.G. A semi-stochastic model for Salmonella infection in a multi-group herd. Math. Biosci. 2006, 200:214-233.