Optimal surveillance network design: a value of information model

Complex Adaptive Systems Modeling

Volumn 2, Issue 1, 2014, Pages

  Convertino, Matteo ^a,b,c,d   Liu, Yang ^a   Hwang, Haejin ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^d Academic Health Center   (United States)

Author keywords

Biodefense; Biosafety; Network resilience; Outbreak sources; Surveillance network; Topology; Transmission network; Uncertainty; Value of information

Indexed keywords

EID: 84958112685     PISSN: None     EISSN: 21943206     Source Type: Journal    
DOI: 10.1186/s40294-014-0006-8     Document Type: Article

References (59)

1. AMS: Agricultural marketing service2014. Tech. rep. [http://www.marketnews.usda.gov/portal/fv?&paf_gear_id=1200002&movNavClass=FVPHN&rowDisplayMax=25&repType=movementDaily&previousVal=&lastCommodity=&paf_dm=full&lastLocation=&volume=40000&locName=MEXICO&locAbr=MX&startIndex=51&dr=1; Accessed April 2014]
2. Bajardi, P, Barrat A, Savini L, Colizza V: Optimizing surveillance for livestock disease spreading through animal movements. J R Soc Interface2012
3. Batz, M, Hoffmann S, Morris JJ: Ranking the risks, the 10 pathogen-food combinations with the greatest burden on public health2011. Tech. rep., University of Florida, Emerging Pathogens Institute. [https://folio.iupui.edu/bitstream/handle/10244/1022/72267report.pdf; Date of access: 06/06/2013]
4. Belik, V, Geisel T, Brockmann D: Natural human mobility patterns and spatial spread of infectious diseases. Phys Rev X2011, 1:011001
5. Bertuzzo, E, Maritan A, Gatto M, Rodriguez-Iturbe I, Rinaldo A: River networks and ecological corridors: reactive transport on fractals, migration fronts, hydrochory. Water Resour Res2007, 43(4)
6. Brockmann, D, Helbing D: The hidden geometry of complex, network-driven contagion phenomena. Science2013, 342(6164):1337–1342
7. Campos, D, Mendez V: Reaction-diffusion wave fronts on comblike structures. Phys Rev E2005, 71:051104
8. CIESIN: The gridded population of the world version 3 (GPWv3) population grids2014. Tech. rep. [http://sedac.ciesin.columbia.edu/gpw; Accessed April 2014]
9. ComTrade: United Nations commodity trade statistics2014. Tech. rep. [http://comtrade.un.org/db/; Accessed April 2014]
10. Colizza, V, Barrat A, Barthlemy M, Vespignani A: The role of the airline transportation network in the prediction and predictability of global epidemics. Proc Nat Acad Sci USA2006, 103(7):2015–2020
11. Convertino, M: Neutral metacommunity clustering and SAR: River basin vs. 2-D landscape biodiversity patterns. Ecol Model2011, 222(11):1863–1879
12. Convertino, M, Valverde LJ Jr: Portfolio decision analysis framework for value-focused ecosystem management. PLoS ONE2013, 8(6):e65056
13. Convertino, M, Hedberg C: Epidemic intelligence cyberinfrastructure: real-time outbreak source detection and prediction for rapid response. PLoS Curr Outbreaks2014a
14. Convertino, M, Hedberg C: Intelli-food: cyberinfrastructure for real-time outbreak source detection and rapid response. Lecture Notes in Computer Science2014b, 8549:181–196. [Smart Health book, Springer]
15. Convertino, M, Liang S: Probabilistic supply chain risk model for food safety. GRF Davos Planet@Risk2014. 2.[Special Issue on One Health]
16. Convertino, M, Muneepeerakul R, Azaele S, Bertuzzo E, Rinaldo A, Rodriguez-Iturbe I: On neutral metacommunity patterns of river basins at different scales of aggregation. Water Resour Res2009, 45(8)
17. Convertino, M, Munoz-Carpena R, Chu-Agor M, Kiker G, Linkov I: Untangling drivers of species distributions: Global sensitivity and uncertainty analyses of MaxEnt. Envir Model Softw2014a, 51:296–309
18. Convertino, M, Foran CM, Keisler JM, Scarlett L, LoSchiavo A, Kiker GA, Linkov I: Enhanced adaptive management: integrating decision analysis, scenario analysis and environmental modeling for the everglades. Sci Rep2014c, 2922:
19. Convertino, M, Munoz-Carpena R, Kiker G, Perz S: Design of monitoring networks by value of information optimization: experiment in the Amazon. Stochastic Environ Res Risk Assess2014d. In press
20. den Broeck, WV, Gioannini C, Goncalves B, Quaggiotto M, Colizza V, Vespignani A: GLeaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale. BMC Infect Dis2011, 11:
21. Estrada, E, Gómez-Gardeñes J: Communicability reveals a transition to coordinated behavior in multiplex networks. Phys Rev E2014, 89(4)
22. Ercsey-Ravasz, M, Toroczkai Z, Lakner Z, Baranyi J: Complexity of the international agro-food trade network and its impact on food safety. PLoS ONE2012, 7(5):e37810. [http://dx.doi.org/10.1371%2Fjournal.pone.0037810]
23. FAOSTAT: Food balance sheet website of the food and agriculture organization of the United Nations2014. Tech. rep. [http://faostat.fao.org/site/368/default.aspx#ancor; Accessed April 2014]
24. FAS: USDA foreign agricultural service2014. Tech. rep. [http://www.fas.usda.gov/data; Accessed April 2014]
25. GATS: Multistate outbreak of salmonella bareilly and salmonella nchanga infections associated with a raw scraped ground tuna product2014a. Tech. rep. [http://www.cdc.gov/salmonella/bareilly-04-12/index.html?s_cid=cs_654; Accessed April 2014]
26. GATS: USDA global agricultural trade system2014b. Tech. rep. [http://www.fas.usda.gov/gats/default; Accessed April 2014]
27. Goncalves, B, Balcan D, Vespignani A: Human mobility and the worldwide impact of intentional localized highly pathogenic virus release. Scientific Reports2013, 3(810)
28. GRUMP: Global rural-urban mapping project alpha version population grids2014. Tech. rep. [http://sedac.ciesin.columbia.edu/gpw; Accessed April 2014]
29. Guevart, E, Noeske J, Solle J, Essomba J, Edjenguele M, Bita A, Mouangue A, Manga B: Factors contributing to endemic cholera in Douala, Cameroon. Med Trop (Mars)2006, 66(3)
30. Haldane, AG, May RM: Systemic risk in banking ecosystems. Nature2011, 469(7330):351–355
31. Halpern, BS, Longo C, Hardy D, McLeod KL, Samhouri JF, Katona SK, Kleisner K, Lester SE, O/’Leary J, Ranelletti M, Rosenberg AA, Scarborough C, Selig ER, Best BD, Brumbaugh DR, Chapin FS, Crowder LB, Daly KL, Doney SC, Elfes C, Fogarty MJ, Gaines SD, Jacobsen KI, Karrer LB, Leslie HM, Neeley E, Pauly D, Polasky S, Ris B, St Martin K, et al: An index to assess the health and benefits of the global ocean. Nature2012, 488:615–620. [http://dx.doi.org/10.1038/nature11397]
32. Hanson, L, Zahn E, Wild S, Dopfer D, Scott J, Stein C: Estimating global mortality from potentially foodborne diseases: an analysis using vital registration data. Popul Health Metrics2012, 10(5)
33. Helbing, D: Globally networked risks and how to respond. Nature2013, 497(7447):51–59. [http://dx.doi.org/10.1038/nature12047]
34. Helbing, D, Brockmann D, Chadefaux T, Donnay K, Blanke U, Woolley-Meza O, Moussaid M, Johansson A, Krause J, Schutte S, et al: How to save human lives with complexity science. J Stat Phys2014. SSRN 2390049. DOI 10.1007/s10955-014-1024-9
35. Holmes, EE: Are diffusion models too simple? A comparison with telegraph models of invasion. Am Nat1993, 142:403–419
36. Keisler, J: Value of information in portfolio decision analysis. Decis Anal2004, 1(3):177–189. [http://da.journal.informs.org/content/1/3/177.abstract]
37. Kilpatrick, AM, Chmura AA, Gibbons DW, Fleischer RC, Marra PP, Daszak P: Predicting the global spread of H5N1 avian influenza. Proc Nat Acad Sci2006, 103(51):19368–19373
38. Knobler, S, Mahmoud A, Lemon S, Pray L, on Microbial Threats EF: The Impact of Globalization on Infectious Disease Emergence and Control: Exploring the Consequences and Opportunities, Workshop Summary - Forum on Microbial Threats: The National Academies Press; 2006. [http://www.nap.edu/openbook.php?record_id=11588]
39. Manitz, J, Kneib T, Schlather M, Helbing D, Brockmann D: Origin detection during food-borne disease outbreaks a case study of the 2011 EHEC/HUS outbreak in Germany. PLOS Curr Outbreaks2014
40. Mundt, CC, Sackett KE, Wallace LD, Cowger C, Dudley JP: Long?distance dispersal and accelerating waves of disease: empirical relationships. Am Nat2009, 173(4):456–466. [http://www.jstor.org/stable/10.1086/597220]
41. NAS: Improving food safety through a one health approach: workshop summary, Washington (DC): National Academies Press (US); 2012. ISBN-13: 978-0-309-25933-0ISBN-10: 0-309-25933-9
42. Newman, M: The structure and function of complex networks. SIAM Rev2003, 45(2):167–256. [http://epubs.siam.org/doi/abs/10.1137/S003614450342480]
43. Njoh ME: The cholera epidemic and barriers to healthy hygiene and sanitation in cameroon: a protocol study2010. Tech. rep., Umea University. [http://bvs.per.paho.org/texcom/colera/MENjoh.pdf]
44. On Effectiveness of National Biosurveillance Systems: BioWatch C, the Public Health System NRC: BioWatch and Public Health Surveillance: Evaluating Systems for the Early Detection of Biological Threats: Abbreviated Version: The National Academies Press; 2011. [http://www.nap.edu/openbook.php?record_id=12688]
45. Oakley, JE: Decision-theoretic sensitivity analysis for complex computer models. Technometrics2009, 51(2):121–129. [http://www.tandfonline.com/doi/abs/10.1198/TECH.2009.0014]
46. Pandit, A, Crittenden J: Index of Network Resilience (INR) for Urban Water Distribution Systems. In Nature; 2012. [http://www.tisp.org/index.cfm?cdid=12519&pid=10261]
47. Park, J, Seager TP, Rao PSC, Convertino M, Linkov I: Integrating risk and resilience approaches to catastrophe management in engineering systems. Risk Anal2012, 33:356–367. doi: 10.1111/j.1539-6924.2012.01885.x
48. Pastore Y, Piontti, A, Gomes Da Costa, M, Samay N, Perra N, Vespignani A: The infection tree of global epidemics. Netw Sci2014, 2:132–137. [http://journals.cambridge.org/article_S2050124214000058]
49. Pinto, PC, Thiran P, Vetterli M: Locating the source of diffusion in large-scale networks. Phys Rev Lett2012, 109:068702. [http://link.aps.org/doi/10.1103/PhysRevLett.109.068702]
50. Saltelli, A, Ratto TM, Andres, Campolongo F, Cariboni J, Gatelli D, Saisana M, Tarantola S: Global Sensitivity Analysis - The Primer: John Wiley and Sons; 2008
51. Schlundt, J, Toyofuku H, Jansen J, Herbst S: Emerging food-borne zoonoses. Rev Sci Tech2004, 23(2)
52. Scallan, E, Griffin P, Angulo F, Tauxe R, Hoekstra R: Foodborne illness acquired in the United states-Unspecified agents. Emerg Infect Dis2011a, 17:
53. Scallan, E, Hoekstra R, Angulo F, Tauxe R, Widdowson S, Roy J, Jones P, Griffin P: Foodborne illness acquired in the United StatesMajor Pathogens. Emerg Infect Dis2011b, 17(7)
54. Simini, F, González MC, Maritan A, Barabási AL: A universal model for mobility and migration patterns. Nature2012, 484(7392):96–100. [http://dx.doi.org/10.1038/nature10856]
55. Sobol, I: Sensitivity analysis for non-linear mathematical model. Math Comput Simul1993:407–414
56. Sobol, I: Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates. Math Comput Simul2001, 55:271–280
57. Stachenko, S: The role of surveillance and data use in the development of public health policies. Promot Educ2008, 15(3):27–29. [http://dx.doi.org/10.1177/1025382308095654]
58. Trainor-Guitton, WJ, Mukerji T, Knight R: A methodology for quantifying the value of spatial information for dynamic Earth problems. Stochastic Environ Res Risk Assess2012:1–15. [http://dx.doi.org/10.1007/s00477-012-0619-4]
59. Tatah, A, Pulcherie K, Mande N, Akum N: Investigation of water sources as reservoirs of Vibrio cholerae in Bepanda, Douala and determination of physico-chemical factors maintaining its endemicity. Onderstepoort J Vet Res2012, 79(2)