An application of agent-based simulation to the management of hospital-acquired infection

Journal of Simulation

Volumn 4, Issue 1, 2010, Pages 60-67

  Meng, Y ^a   Davies, R ^a   Hardy, K ^b,c   Hawkey, P ^b,c  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST   (United Kingdom)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Agent based simulation; Epidemiological modeling; Hospital acquired infections; MRSA

Indexed keywords

AUTONOMOUS AGENTS; BACTERIA; COMPUTATIONAL METHODS; DIAGNOSIS; HOSPITALS; INTELLIGENT SYSTEMS; MONTE CARLO METHODS;

AGENT BASED SIMULATION; COMPARTMENTAL MODEL; EPIDEMIOLOGICAL MODELING; HOSPITAL ACQUIRED INFECTION; METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS; MODEL EXPERIMENTATIONS; MRSA; RISK OF TRANSMISSIONS;

PATIENT TREATMENT;

EID: 77949752103     PISSN: 17477778     EISSN: 17477786     Source Type: Journal    
DOI: 10.1057/jos.2009.17     Document Type: Article

References (36)

1. Austin DJ and Anderson RM (1999). Studies of antibiotic resistance within the patient, hospitals and the community using simple mathematical models. Philos Trans R Soc Lond B Biol Sci 354(1384): 721-738.
2. Bobashev GV, Goedecke DM, Yu F and Epstein JM (2007). A hybrid epidemic model: Combining the advantages of agentbased and equation-based approaches. In: Henderson SG, Biller B, Hsieh MH, Shortle J, Tew JD and Barton RR (eds) Proceedings of the 2007 Winter Simulation Conference. IEEE Press: Washington, DC, pp 1532-1537.
3. Bonabeau E (2001). Agent-based modelling: Methods and techniques for simulating human systems. Proc Natl Acad Sci USA 99(3): 7280-7287.
4. Bootsma MCJ, Diekmann O and Bonten MJM (2006). Controlling methicillin-resistant Staphylococcus aureus: Quantifying the effects of interventions and rapid diagnostic testing. Proc Natl Acad Sci USA 103(14): 5620-5625.
5. Brennan A, Chick SE and Davies R (2006). A taxonomy of model structures for economic evaluation of health technologies. Health Econ 15: 1295-1310.
6. Cooper BS and Lipsitch M (2004). The analysis of hospital infection data using hidden Markov models. Biostatistics 5(2): 223-237.
7. Cooper BS, Medley GF and Scott GM (1999). Preliminary analysis of the transmission dynamics of nosocomial infections: Stochastic and management effects. J Hosp Infect 43: 131-147.
8. Cooper K, Davies R, Raftery J and Roderick P (2008). Use of a coronary heart disease simulation model to evaluate the costs and effectiveness of drugs for the prevention of heart disease. J Opl Res Soc 59: 1173-1181.
9. Cooper BS et al (2004). Methicillin-resistant Staphylococcus aureus in hospital and the community: Stealth dynamics and control catastrophes. Proc Natl Acad Sci USA 101(27): 10223-10228.
10. Cosgrove S et al (2005). The impact of methicillin-resistant in Staphylococcus aureus bacteremia on patient outcomes: Mortality, length of stay, and hospital charges. Infect Control Hosp Epidemiol 26(2): 166-174.
11. Cunningham R et al (2007). Effect onMRSA transmission of rapid PCR testing of patients admitted to critical care. J Hosp Infect 65: 24-28.
12. Davies R and Davies HTO (1994). Modelling patient flows and resource provision in health systems. Omega 22(2): 123-131.
13. Department of Health (2002). Getting Ahead of the Curve: A Strategy for Combating and Infectious Disease. Department of Health: London.
14. Forrester M and Pettitt AN (2005). Use of stochastic epidemic modelling to quantify transmission rates of colonization with Mehicillin-resistant Staphylococcus Aureus in an intensive care unit. Infect Control Hosp Epidemiol 26: 598-606.
15. Jun JB, Jacobson SH and Swisher JR (1999). Application of discrete-event simulation in health care clinics: A survey. J Opl Res Soc 50(2): 109-123.
16. Grundmann H et al (2002). Risk factors for the transmission of methicillin-resistant Staphylococcus aureus in an adult intensive care unit: Fitting a model to the data. J InfectDis 185: 481-488.
17. Keeling MJ and Rohani P (2008). Modelling Infectious Diseases in Humans and Animals. Princeton: New Jersey.
18. Koopman JS et al (2002). Stochastic effects on endemic infection levels of disseminating versus local contacts. Math Biosci 180: 49-71.
19. Harbarth S et al (1999). Randomized, placebo-controlled, doubleblind trial to evaluate the efficacy of mupirocin for eradicating carriage of methicillin-resistant Staphylococcus aureus. Antimicrob Agents Chemother 43(6): 1412-1416.
20. Harbarth S et al (2006). Evaluation of rapid screening and pre-emptive contact isolation for detecting and controlling methicillin-resistant Staphylococcus aureus in critical care: An interventional cohort study. Crit Care 10(1): R25.
21. Hardy KJ et al (2007). A study of the efficacy and cost-effectiveness of MRSA screening and monitoring on surgical wards using a new, rapid molecular test (EMMS). BMC Health Serv Res 7: 160.
22. Hotchkiss JR et al (2005). An agent-based and spatially explicit model of pathogen dissemination in the intensive care unit. Crit Care Med 33(1): 168-176.
23. Macal CM and North MJ (2006). Tutorial on agent-based modelling and simulation part 2: How to model the agents. In: Perrone LF, Wieland FP, Liu J, Lawson BG, Nicol DM and Fujimoto RM (eds) Proceedings of the 2006 Winter Simulation Conference. IEEE Press: Monterey, CA, pp 73-83.
24. Macfarlane M et al (2007). Successful decolonization of methicillinresistant Staphylococcus aureus in paediatric patients with cystic fibrosis (CF) using a three-step protocol. J Hosp Infect 65: 231-236.
25. Massad E, Lundberg S and Yang HM (1993). Modeling and simulating the evolution of resistance against antibiotics. Int J Biomed Comput 33: 65-81.
26. McBryde ES, Pettitt AN and McElwain DLS (2007). A stochastic mathematical model of methicillin resistant Staphylococcus aureus transmission in an intensive care unit: Predicting the impact of interventions. J Theor Biol 245: 470-481.
27. Morrison L and Stolarek I (2000). Does MRSA affect patient outcomes in the elderly? A retrospective pilot study. J Hosp Infect 45: 169-171.
28. Noah N (2006). Controlling Communicable Disease. Open University Press: Maidenhead.
29. North MJ and Macal CM (2007). Managing Business Complexity: Discovering Strategic Solutions with Agent-based Modeling and Simulation. Oxford University Press, Oxford.
30. Raboud J et al (2005). Modeling transmission of methicillinresistant Staphylococcus aureus among patients admitted to a hospital. Infect Control Hosp Epidemiol 26(7): 607-615.
31. Robotham JV, Jenkins DR and Medley GF (2006). Screening strategies in surveillance and control of methicillin-resistant Staphylococcus aureus. Epidemiol Infect 135(2): 328-342.
32. Sanchez SM and Lucas TW (2002). Exploring the world of agentbased simulations: Simple models, complex analyses. In: Yucesan E, Chen CH, Snowdon JL and Charnes JM (eds) Proceedings of the 2002 Winter Simulation Conference. IEEE Press: San Diego, CA, pp 116-126.
33. Sebille V and Valleron AJ (1997). A computer simulation model for the spread of nosocomial infections caused by multidrugresistant pathogens. Comput Biomed Res 30: 307-322.
34. Sebille V, Cheveret S and Valleron AJ (1997). Modelling the spread of resistant nosocomial pathogens in an intensive-care unit. Infect Control Hosp Epidemiol 18(2): 84-92.
35. Vasilakis C and Marshall AH (2005). Modelling nationwide hospital length of stay: Opening the black box. J Opl Res Soc 56(7): 862-869.
36. Wooldridge M (2002). A Introduction toMultiagent Systems.Wiley: Chichester.