Systems science methods in public health: Dynamics, networks, and agents

Annual Review of Public Health

Volumn 33, Issue , 2012, Pages 357-376

  Luke, Douglas A ^a   Stamatakis, Katherine A ^b  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

^b WASHINGTON UNIVERSITY   (United States)

Author keywords

Agent based modeling; Complex systems; Computer models; Network analysis; Simulation; System dynamics

Indexed keywords

AGENT BASED MODELING; CASE STUDY; DYNAMICS; HEALTH CARE POLICY; HEALTH CARE SYSTEM; HEALTH CARE UTILIZATION; HEALTH SURVEY; HUMAN; INFECTION; MEDICAL PRACTICE; NETWORK ANALYSIS; OBESITY; PANDEMIC; PRIORITY JOURNAL; PUBLIC HEALTH; REVIEW; SMOKING CESSATION; SOCIAL NETWORK; SYSTEM DYNAMICS; SYSTEMS BIOLOGY; SYSTEMS SCIENCE;

DELIVERY OF HEALTH CARE, INTEGRATED; HEALTH POLICY; HEALTH PROMOTION; HUMANS; PUBLIC HEALTH; PUBLIC HEALTH ADMINISTRATION; UNITED STATES;

EID: 84861411877     PISSN: 01637525     EISSN: 15452093     Source Type: Book Series    
DOI: 10.1146/annurev-publhealth-031210-101222     Document Type: Review

References (150)

1. Abdel-Hamid TK. 2002. Modeling the dynamics of human energy regulation and its implications for obesity treatment. Syst. Dyn. Rev. 18:431-71
2. Ahmed E, Elgazzar A, Hegazi A. 2005. An overview of complex adaptive systems. Nonlinear Sci. arXiv:nlin/0506059v1
3. Alexander C, Piazza M, Mekos D, Valente T. 2001. Peers, schools, and adolescent cigarette smoking. J. Adolesc. Health 29:22-30
4. Aloise-Young PA, Graham JW, Hansen WB. 1994. Peer influence on smoking initiation during early adolescence: a comparison of group members and group outsiders. J. Appl. Psychol. 79:281-87
5. Anderson RM. 1982. The Population Dynamics of Infectious Diseases: Theory and Applications. London/New York: Chapman and Hall
6. Atun RA, Lebcir RM, McKee M, Habicht J, Coker RJ. 2007. Impact of joined-up HIV harm reduction and multidrug resistant tuberculosis control programmes in Estonia: system dynamics simulation model. Health Policy 81:207-17
7. Auchincloss AH, Riolo RL, Brown DG, Cook J, Diez-Roux AV. 2011. An agent-based model of income inequalities in diet in the context of residential segregation. Am. J. Prev. Med. 40:303-11
8. Auerbach DM, Jaffe HW, Curran JW, Darrow WW. 1984. Cluster of cases of the acquired immune-deficiency syndrome\patients linked by sexual contact. Am. J. Med. 76:487-92
9. Axelrod R. 2006. Agent-based modeling as a bridge between disciplines. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, ed. L Tesfatsion, KL Judd, pp. 1565-84. Amsterdam, The Neth.: Elsevier
10. Axtell RL, Durlauf S, Epstein JM, Hammond R, Klemens B, et al. 2006. Social Influences and Smoking Behavior: Final Report to the American Legacy Foundation. Washington, DC: Brookings Inst. http://www.brookings.edu/∼/ media/Files/rc/papers/2006/02dynamics-social/02dynamics-social.pdf
11. Axtell RL, Epstein JM, Dean JS, Gumerman GJ, Swedlund AC, et al. 2002. Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. Proc. Natl. Acad. Sci. USA 99:7275-79
12. Bahr DB, Browning RC, Wyatt HR, Hill JO. 2009. Exploiting social networks to mitigate the obesity epidemic. Obesity 17:723-28
13. Balthrop J, Forrest S, Newman MEJ, Williamson MM. 2004. Technological networks and the spread of computer viruses. Science 304:527-29
14. Bar-Yam Y. 1999. Complex systems and thinking on multiple scales. Work. Pap., Dep. Econ. Tech. Univ. Lisbon, Lisbon, Port.
15. Barabási AL. 2002. Linked: The New Science of Networks. Cambridge, MA: Perseus
16. Barton A. 1968. Bringing society back in: survey research and macro-methodology. Am. Behav. Sci. 12:1-9
17. Bassett DS, Bullmore E. 2006. Small-world brain networks. Neuroscientist 12:512-23
18. Bearman PS, Neckerman KM, Wright L. 2011. After Tobacco: What Would Happen if Americans Stopped Smoking? New York: Columbia Univ. Press. vii, 446 pp.
19. Bejleri I, Steiner RL, Fischman A, Schmucker JM. 2011. Using GIS to analyze the role of barriers and facilitators to walking in children's travel to school. Urban Des. Int. 16:51-62
20. Bonabeau E. 2002. Agent-based modeling: methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. USA 99(Suppl. 3):7280-87
21. Borshchev A, Filippov A. 2004. From system dynamics and discrete event to practical agent based modeling: reasons, techniques, tools. Proc. Int. Conf. Syst. Dyn. Soc., 22nd, Oxford
22. Brandes U, Erlebach T. 2005. Network Analysis: Methodological Foundations. New York: Springer
23. Buchanan M. 2002. Nexus: Small Worlds and the Groundbreaking Science of Networks. New York: Norton
24. Cajka JC, Cooley PC, Wheaton WD. 2010. Attribute Assignment to a Synthetic Population in Support of Agent-Based Disease Modeling. Research Triangle Park, NC: RTI Int. http://www.rti.org/pubs/mr-0019-1009-cajka.pdf
25. Calvert KI, Doar MB, Zegura EW. 1997. Modeling Internet topology. Commun. Mag. IEEE 35:160-63
26. Cent. Dis. Control Prev. (CDC). 2011. Ten great public health achievements\United States, 2001-2010. MMWR 60:619-23
27. Charreire H, Casey R, Salze P, Simon C, Chaix B, et al. 2010. Measuring the food environment using geographical information systems: a methodological review. Public Health Nutr. 13:1773-85
28. Chen J, Marathe A, Marathe MV. 2010. Coevolution of epidemics, social networks, and individual behavior: a case study. Lect. Notes Comput. Sci. 6007:218-27
29. Chiu B. 2000. "Unified theory" is getting closer, Hawkings predicts. San Jose Mercury News, Jan. 23, p. 29A (Sunday Morning Final Ed.)
30. Christakis NA, Fowler JH. 2007. The spread of obesity in a large social network over 32 years. N. Engl. J. Med. 357:370-79
31. Christakis NA, Fowler JH. 2008. The collective dynamics of smoking in a large social network. N. Engl. J. Med. 358:2249-58
32. Christakis NA, Fowler JH. 2010. Social network sensors for early detection of contagious outbreaks. PLoS One 5:e12948
33. Christley RM, Pinchbeck GL, Bowers RG, Clancy D, French NP, et al. 2005. Infectioninsocial networks: using network analysis to identify high-risk individuals. Am. J. Epidemiol. 162:1024-31
34. Cohen-Cole E, Fletcher JM. 2008. Detecting implausible social network effects in acne, height, and headaches: longitudinal analysis. BMJ 337:a2533
35. Cohen-Cole E, Fletcher JM. 2008. Is obesity contagious? Social networks versus environmental factors in the obesity epidemic. J. Health Econ. 27:1382-87
36. Dearing JW. 2008. Evolution of diffusion and dissemination theory. J. Public Health Manag. Pract. 14:99-108
37. Delre SA, Jager W, Bijmolt THA, Janssen MA. 2010. Will it spread or not? The effects of social influences and network topology on innovation diffusion. J. Prod. Innov. Manag. 27:267-82
38. Dimitrov NB, Goll S, Hupert N, Pourbohloul B, Meyers LA. 2011. Optimizing tactics for use of the US antiviral strategic national stockpile for pandemic influenza. PLoS ONE 6:e16094
39. DiPrete TA, Gelman A, McCormick T, Teitler J, Zheng T. 2011. Segregation in social networks based on acquaintanceship and trust. AJS 116:1234-83
40. Ellen JM. 2009. Social networks research and challenges to causal inference. J. Adolesc. Health 45:109-10
41. Ennett ST, Bauman KE. 1993. Peer group structure and adolescent cigarette smoking: a social network analysis. J. Health Soc. Behav. 34:226-36
42. Epstein JM. 1999. Agent-based computational models and generative social science. Complexity 4:41-57
43. Epstein JM. 2006. Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton, NJ: Princeton Univ. Press
44. Epstein JM. 2009. Modelling to contain pandemics. Nature 460:687
45. Epstein JM, Parker J, Cummings D, Hammond RA. 2008. Coupled contagion dynamics of fear and disease: mathematical and computational explorations. PLoS ONE 3:e3955
46. Eubank S, Guclu H, Anil Kumar V, Marathe MV, Srinivasan A, et al. 2004. Modelling disease outbreaks in realistic urban social networks. Nature 429:180-84
47. Flatt JP. 2004. Carbohydrate-fat interactions and obesity examined by a two-compartment computer model. Obes. Res. 12:2013-22
48. Flegal KM, Carroll MD, Ogden CL, Johnson CL. 2002. Prevalence and trends in obesity among US adults, 1999-2000. JAMA 288:1723-27
49. Fletcher A, Bonell C, Sorhaindo A. 2011. You are what your friends eat: systematic review of social network analyses of young people's eating behaviours and bodyweight. J. Epidemiol. Community Health 65:548-55
50. Forrester J. 1961. Industrial Dynamics. Cambridge, MA: MIT Press
51. Fowler JH, Christakis NA. 2008. Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study. BMJ 337:a2338
52. Freedman DA. 1991. Statistical models and shoe leather. Sociol. Methodol. 21:291-313
53. Freeman LC. 2004. The Development of Social Network Analysis: A Study in the Sociology of Science. Vancouver, BC: Empirical
54. Galea S, Riddle M, Kaplan GA. 2010. Causal thinking and complex system approaches in epidemiology. Int. J. Epidemiol. 39:97-106
55. Gallagher R, Appenzeller T. 1999. Beyond reductionism. Science 284:79
56. Glasser JW, Hupert N, McCauley MM, Hatchett R. 2011. Modeling and public health emergency responses: lessons from SARS. Epidemics 3:32-37
57. *) models appliedto a large social network. Soc. Netw. 29:231-48
58. Gorman DM, Mezic J, Mezic I, Gruenewald PJ. 2006. Agent-based modeling of drinking behavior: a preliminary model and potential applications to theory and practice. Am. J. Public Health 96:2055-60
59. Green LW. 2006. Public health asks of systems science: To advance our evidence-based practice, can you help us get more practice-based evidence? Am. J. Public Health 96:406-9
60. Gruenewald PJ. 2007. The spatial ecology of alcohol problems: niche theory and assortative drinking. Addiction 102:870-78
61. Hammond RA. 2009. Complex systems modeling for obesity research. Prev. Chronic Dis. 6:A97
62. Harris JK, Luke DA, Burke RC, Mueller NB. 2008. Seeing the forest and the trees: using network analysis to develop an organizational blueprint of state tobacco control systems. Soc. Sci. Med. 67:1669-78
63. Harris JK, Luke DA, Zuckerman RB, Shelton SC. 2009. Forty years of secondhand smoke research: the gap between discovery and delivery. Am. J. Prev. Med. 36:538-48
64. Hirsch G, Homer J, Evans E, Zielinski A. 2010. A system dynamics model for planning cardiovascular disease interventions. Am. J. Public Health 100:616-22
65. Hoard M, Homer J, Manley W, Furbee P, Haque A, Helmkamp J. 2005. Systems modeling in support of evidence-based disaster planning for rural areas. Int. J. Hyg. Environ. Health 208:117-25
66. Holland JH, Miller JH. 1991. Artificial adaptive agents in economic theory. Am. Econ. Rev. 81:365-70
67. Homer J, Milstein B, Wile K, Pratibhu P, Farris R, Orenstein DR. 2008. Modeling the local dynamics of cardiovascular health: risk factors, context, and capacity. Prev. Chronic Dis. 5:A63
68. Homer JB, Hirsch GB. 2006. System dynamics modeling for public health: background and opportunities. Am. J. Public Health 96:452-58
69. Homer JB, Ritchie-Dunham J, Rabbino H, Puente LM, Jorgensen J, Hendricks K. 2000. Toward a dynamic theory of antibiotic resistance. Syst. Dyn. Rev. 16:287-319
70. Homer JB, St. Clair CL. 1991. A model of HIV transmission through needle sharing. Interfaces 21:26-49
71. Huang TT, Drewnowski A, Kumanyika SK, Glass TA. 2009. A systems-oriented multilevel framework for addressing obesity in the 21st century. Prev. Chronic Dis. 6:A97
72. Imai K, Keele L, Tingley D. 2010. A general approach to causal mediation analysis. Psychol. Methods 15:309-34
73. Inst. Med. (IOM). 2007. Ending the Tobacco Problem: A Blueprint for the Nation. Washington, DC: Natl. Acad. Press
74. Jones AP, Homer JB, Murphy DL, Essien JDK, Milstein B, Seville DA. 2006. Understanding diabetes population dynamics through simulation modeling and experimentation. Am. J. Public Health 96:488-94
75. Kanagarajah AK, Lindsay P, Miller A, Parker D. 2006. An exploration into the uses of agent-based modeling to improve quality of health care. Proc. Int. Conf. Complex Syst., 6th, Boston, MA
76. Keeling MJ, Eames KT. 2005. Networks and epidemic models. J. R. Soc. Interface 2:295-307
77. Klovdahl AS. 1985. Social networks and the spread of infectious diseases: the AIDS example. Soc. Sci. Med. 21:1203-16
78. Koopman JS. 2004. Modeling infection transmission. Annu. Rev. Public Health 25:303-26
79. Koopman JS, Chick SE, Riolo CS, Adams AL, Wilson ML, Becker MP. 2000. Modeling contact networks and infection transmission in geographic and social space using GERMS. Sex. Transm. Dis. 27:617-26
80. Lakon CM, Hipp JR, Timberlake DS. 2010. The social context of adolescent smoking: a systems perspective. Am. J. Public Health 100:1218-28
81. Lebcir RM, Atun RA, Coker RJ. 2009. System dynamic simulation of treatment policies to address colliding epidemics of tuberculosis, drug resistant tuberculosis and injecting drug users driven HIV in Russia. J. Oper. Res. Soc. 61:1238-48
82. Lee BY, Brown ST, Cooley P, Potter MA, Wheaton WD, et al. 2010. Simulating school closure strategies to mitigate an influenza epidemic. J. Public Health Manag. Pract. 16:252-61
83. Lee BY, Brown ST, Cooley PC, Zimmerman RK, Wheaton WD, et al. 2010. A computer simulation of employee vaccination to mitigate an influenza epidemic. Am. J. Prev. Med. 38:247-57
84. Lee BY, Brown ST, Korch GW, Cooley PC, Zimmerman RK, et al. 2010. A computer simulation of vaccine prioritization, allocation, and rationing during the 2009 H1N1 influenza pandemic. Vaccine 28:4875-79
85. Leischow SJ, Luke DA, Mueller N, Harris JK, Ponder P, et al. 2010. Mapping US government tobacco control leadership: networked for success? Nicot. Tob. Res. 12:888-94
86. Levy DT, Bales S, Lam NT, Nikolayev L. 2006. The role of public policies in reducing smoking and deaths caused by smoking in Vietnam: results from the Vietnam tobacco policy simulation model. Soc. Sci. Med. 62:1819-30
87. Levy DT, Bauer JE, Lee HR. 2006. Simulation modeling and tobacco control: creating more robust public health policies. Am. J. Public Health 96:494-98
88. Levy DT, Mabry PL, Graham AL, Orleans CT, Abrams DB. 2010. Exploring scenarios to dramatically reduce smoking prevalence: a simulation model of the three-part cessation process. Am. J. Public Health 100:1253-59
89. Levy DT, Mabry PL, Wang YC, Gortmaker S, Huang TTK, et al. 2011. Simulation models of obesity: a review of the literature and implications for research and policy. Obes. Rev. 12:378-94
90. Loscalzo J, Kohane I, Barabasi AL. 2007. Human disease classification in the postgenomic era: a complex systems approach to human pathobiology. Mol. Syst. Biol. 3:124
91. Luke DA. 2005. Getting the big picture in community science: methods that capture context. Am. J. Community Psychol. 35:185-200
92. Luke DA, Harris JK. 2007. Network analysis in public health: history, methods, and applications. Annu. Rev. Public Health 28:69-93
93. Luke DA, Harris JK, Shelton S, Allen P, Carothers BJ, Mueller NB. 2010. Systems analysis of collaboration in 5 national tobacco control networks. Am. J. Public Health 100:1290-97
94. Luke DA, Ribisl KM, Smith C, Sorg AA. 2011. Family Smoking Prevention and Tobacco Control Act: banning outdoor tobacco advertising near schools and playgrounds. Am. J. Prev. Med. 40:295-302
95. Lyons R. 2010. The spread of evidence-poor medicine via flawed social-network analysis. Stat. Polit. Policy arXiv:1007.2876v3
96. Mabry PL, Marcus SE, Clark PI, Leischow SJ, Mendez D. 2010. Systems science: a revolution in public health policy research. Am. J. Public Health 100:1161-63
97. Macy MW, Willer R. 2002. From factors to actors: computational sociology and agent-based modeling. Annu. Rev. Sociol. 28:143-66
98. Marcus SE, Leischow SJ, Mabry PL, Clark PI. 2010. Lessons learned from the application of systems science to tobacco control at the National Cancer Institute. Am. J. Public Health 100:1163-65
99. McAneney H, McCann JF, Prior L, Wilde J, Kee F. 2010. Translating evidence into practice: a shared priority in public health? Soc. Sci. Med. 70:1492-500
100. McGrath JE, Martin J, Kulka RA. 1982. Judgment Calls in Research. Beverly Hills, CA: Sage
101. Meadows DH, Wright D. 2008. Thinking in Systems: A Primer. White River Junction, VT: Chelsea Green
102. Meehl PE. 1978. Theoretical risks and tabular asterisks\Sir Karl, Sir Ronald, and the slow progress of soft psychology. J. Consult. Clin. Psychol. 46:806-34
103. Mendez D, Warner KE. 2000. Smoking prevalence in 2010: Why the Healthy People goal is unattainable. Am. J. Public Health 90:401-3
104. Meyers LA, Pourbohloul B, Newman ME, Skowronski DM, Brunham RC. 2005. Network theory and SARS: predicting outbreak diversity. J. Theor. Biol. 232:71-81
105. Micceri T. 1989. The unicorn, the normal curve, and other improbable creatures. Psychol. Bull. 105:156-66
106. Milstein B. 2008. Hygeia's Constellation: Navigating Health Futures in a Dynamic and Democratic World. Atlanta, GA: Cent. Dis. Control Prev. http://www.cdc.gov/syndemics/pdfs/Hygeias-Constellation-Milstein.pdf
107. Milstein B, Jones A, Homer JB, Murphy D, Essien J, Seville D. 2007. Charting plausible futures for diabetes prevalence in the United States: a role for system dynamics simulation modeling. Prev. Chronic Dis. 4:A52
108. Mitchell M. 2009. Complexity: A Guided Tour. New York: Oxford Univ. Press
109. Moreno JL. 1937. Sociometry in relation to other social sciences. Sociometry 1:206-19
110. Moss S. 1999. Relevance, Realism and Rigour: A Third Way for Social and Economic Research. Manchester, UK: Cent. Policy Model., Manch. Metrop. Univ. http://cfpm.org/scott/inaugural/inaugural.pdf
111. Navarro-Barrientos JE, Rivera DE, Collins LM. 2010. A dynamical model for describing behavioural interventions for weight loss and body composition change. Math. Comput. Model. Dyn. Syst. 17:183-203
112. Natl. Cancer Inst. (NCI). 2007. Greater than the Sum: Systems Thinking in Tobacco Control. Tob. Control Monogr. Ser. Bethesda, MD: NCI, US Dep. Health Hum. Serv., Public Health Serv., Natl. Inst. Health.
113. http://cancercontrol.cancer.gov/tcrb/monographs/18/m18-complete.pdf
114. Osgood N. 2007. Using traditional and agent based toolset for system dynamics: present tradeoffs and future evolution. Proc. Int. Conf. Syst. Dyn. Soc., 25th, Boston, MA
115. Parkes MW, Bienen L, Breilh J, Hsu LN, McDonald M, et al. 2005. All hands on deck: transdisciplinary approaches to emerging infectious disease. Eco Health 2:258-72
116. Rahmandad H, Sterman J. 2008. Heterogeneity and network structure in the dynamics of diffusion: comparing agent-based and differential equation models. Manag. Sci. 54:998-1014
117. Railsback SF, Lytinen SL, Jackson SK. 2006. Agent-based simulation platforms: review and development recommendations. Simulation 82:609-23
118. Rapkin BD, Luke DA. 1993. Cluster analysis in community research: epistemology and practice. Am. J. Community Psychol. 21:247-77
119. Resnicow K, Page SE. 2008. Embracing chaos and complexity: a quantum change for public health. Am. J. Public Health 98:1382-89
120. Ressler S. 2006. Social network analysis as an approach to combat terrorism: past, present, and future research. Homel. Secur. Aff. 2:1-10
121. Reynolds CW. 1987. Flocks, herds and schools: a distributed behavioral model. ACM SIGGRAPH Comput. Graph. 21:25-34
122. Richardson GP. 2011. Reflections on the foundations of system dynamics. Syst. Dyn. Rev. 27:219-43
123. Roberts C, Dangerfield B. 1990. Modelling the epidemiological consequences of HIV infection and AIDS: a contribution from operational research. J. Oper. Res. Soc. 41:273-89
124. Rocha LM. 1999. Complex systems modeling: using metaphors from nature in simulation and scientific models. BITS Comput. Commun. News. Comput. Inf. Commun. Div. Los Alamos Natl. Lab., Los Alamos, NM
125. Rothenberg RB, Narramore J. 1996. The relevance of social network concepts to sexually transmitted disease control. Sex. Transm. Dis. 23:24-29
126. Rothenberg RB, Potterat JJ, Woodhouse DE, Muth SQ, Darrow WW, Klovdahl AS. 1998. Social network dynamics and HIV transmission. AIDS 12:1529-36
127. Rothenberg RB, Sterk C, Toomey KE, Potterat JJ, Johnson D, et al. 1998. Using social network and ethnographic tools to evaluate syphilis transmission. Sex. Transm. Dis. 25:154-60
128. Royston G, Dost A, Townshend J, Turner H. 1999. Using system dynamics to help develop and implement policies and programmes in health care in England. Syst. Dyn. Rev. 15:293-313
129. Sibbel R, Urban C. 2001. Agent-based modeling and simulation for hospital management. In Cooperative Agents: Applications in the Social Sciences, ed. NJ Saam, B Schmidt, pp. 183-99. Dordrecht, The Neth.: Kluwer Acad.
130. Smith MJ, Ellenberg SS, Bell LM, Rubin DM. 2008. Media coverage of the measles-mumps-rubella vaccine and autism controversy and its relationship to MMR immunization rates in the United States. Pediatrics 121:e836-43
131. Sterman J. 2000. Business Dynamics: Systems Thinking and Modeling for a Complex World. Boston: Irwin/McGraw-Hill
132. Sterman JD. 2006. Learning from evidence in a complex world. Am. J. Public Health 96:505-14
133. Susser M. 1998. Does risk factor epidemiology put epidemiology at risk? Peering into the future. J. Epidemiol. Community Health 52:608-11
134. Tan J, Wen HJ, Awad N. 2005. Health care and services delivery systems as complex adaptive systems. Commun. ACM 48:36-44
135. Tengs TO, Osgood ND, Chen LL. 2001. The cost-effectiveness of intensive national school-based anti-tobacco education: results from the tobacco policy model. Prev. Med. 33:558-70
136. Thompson KM, Tebbens RJ. 2007. Eradication versus control for poliomyelitis: an economic analysis. Lancet 369:1363-71
137. Tobias MI, Cavana RY, Bloomfield A. 2010. Application of a system dynamics model to inform investment in smoking cessation services in New Zealand. Am. J. Public Health 100:1274-81
138. Trochim WM, Cabrera DA, Milstein B, Gallagher RS, Leischow SJ. 2006. Practical challenges of systems thinking and modeling in public health. Am. J. Public Health 96:538-46
139. Valente TW. 1995. Network Models of the Diffusion of Innovations. Cresskill, NJ: Hampton
140. Valente TW, Fujimoto K, Chou CP, Spruijt-Metz D. 2009. Adolescent affiliations and adiposity: asocial network analysis of friendships and obesity. J. Adolesc. Health 45:202-4
141. Van Wave TW, Scutchfield FD, Honore PA. 2010. Recent advances in public health systems research in the United States. Annu. Rev. Public Health 31:283-95
142. Vandenbroeck P, Goossens J, Clemens, M, UK Gov. Foresight Prog. 2007. Foresight. Tackling Obesities: Future Choices\Building the Obesity System Map. London: Gov. Off. Sci. http://www.bis.gov.uk/assets/bispartners/foresight/docs/ obesity/12.pdf
143. Vennix J. 1996. Group Model Building: Facilitating Team Learning Using System Dynamics. Chichester, UK: Wiley
144. Vickers DM, Osgood ND. 2010. Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling. BMC Infect. Dis. 10:70. http://www.biomedcentral.com/1471-2334/10/70
145. Wasserman S, Faust K. 1994. Social Network Analysis: Methods and Applications. New York: Cambridge Univ. Press
146. Willinger W, Alderson D, Doyle JC, Li L. 2004. More "normal" than normal: scaling distributions and complex systems. Proc. Winter Simul. Conf., 36th, Washington, DC., pp. 130-41
147. Wipfli HL, Fujimoto K, Valente TW. 2010. Global tobacco control diffusion: the case of the framework convention on tobacco control. Am. J. Public Health 100:1260-66
148. Woolf SH. 2008. The meaning of translational research and why it matters. JAMA 299:211-13
149. Yang Y, Atkinson P, Ettema D. 2008. Individual space-time activity-based modelling of infectious disease transmission within a city. J. R. Soc. Interface 5:759-72
150. Yang Y, Roux AVD, Auchincloss AH, Rodriguez DA, Brown DG. 2011. A spatial agent-based model for the simulation of adults' daily walking within a city. Am. J. Prev. Med. 40:353-61