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Referencias:

• Obesity: Preventing and managing the global epidemic (2000) WHOObesity Technical Report Series 894, , World Health Organization. World Health Organization Geneva, Switzerland
• Butland, B., (2007) Foresight Tackling Obesities: Future Choices-project Report, , 2nd edn. London: Government Office for Science
• Hill, J.O., Peters, J.C., Environmental contributions to the obesity epidemic (1998) Science, 280, pp. 1371-1374
• Swinburn, B.A., The global obesity pandemic: Shaped by global drivers and local environments (2011) Lancet, 378, pp. 804-814
• Nestle, M., (2007) Food Politics: How the Food Industry Inuences Nutrition and Health., , University of California Press, revised edition
• Christakis, N.A., Fowler, J.H., The spread of obesity in a large social network over 32 years (2007) New. Engl. J. Med., 357, pp. 370-379
• Block, J., Christakis, N.A., O'Malley, A.J., Subramanian, S., Proximity to food establishments and body mass index in the Framingham Heart Study Offspring Cohort over 30 years (2011) Am. J. Epidemiol., 174, pp. 1108-1114
• Caballero, B., Popkin, B.M., (2002) The Nutrition Transition: Diet and Disease in the Developing World, , Academic Press
• Cutler, D.M., Glaeser, E.L., Shapiro, J.M., Why have Americans become more obese? J (2003) Econ. Perspect., 17, pp. 93-118
• Haslam, D.W., James, W.P., Obesity (2005) Lancet, 366, pp. 1197-1209
• (2000) Healthy People 2010: Understanding and Improving Health, , Department of Health and Human Services (USA). Conference edition. (Washington, Government Printing Office
• Schuurman, N., Peters, P.A., Oliver, L.N., Are obesity and physical activity clustered? A spatial analysis linked to residential density (2009) Obesity, 17, pp. 2202-2209
• Michimi, A., Wimberly, M.C., Spatial patterns of obesity and associated risk factors in the conterminous U.S (2010) Am. J. Prev. Med., 39, pp. e1-e12
• Behavioral Risk Factor Surveillance System Survey Data, , http://apps.nccd.cdc.gov/DDT_STRS2/NationalDiabetesPrevalenceEstimates.aspx, Atlanta Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention. (accessed 15 Nov 2011)
• Stanley, H.E., (1971) Introduction to Phase Transitions and Critical Phenomena, , (Oxford University Press, Oxford
• Bunde, A., Havlin, S., (1996) Fractals and Disordered Systems, , (Springer-Verlag, Heidelberg, 2nd edition
• Coniglio, A., Nappi, C., Russo, L., Peruggi, F., Percolation and phase transitions in the Ising model (1977) J. Phys. A, 10, pp. 205-209
• Weinrib, A., Long-range correlated percolation (1984) Phys. Rev. B, 29, pp. 387-395
• Prakash, S., Havlin, S., Schwartz, M., Stanley, H.E., Structural and dynamical properties of long-range correlated percolation (1992) Phys. Rev. A, 46, pp. R1724-1727
• Araujo, A.D., Moreira, A.A., Costa, R.N., Andrade, J.S., Statistics of the critical percolation backbonewith spatial long-range correlations (2003) Phys. Rev. e, 67, p. 027102
• Makse, H.A., Havlin, S., Stanley, H.E., Modelling urban growth patterns (1995) Nature, 377, pp. 608-612
• Makse, H.A., Andrade, J.S., Batty, M., Havlin, S., Stanley, H.E., ModelingUrban Growth Patterns with Correlated Percolation (1998) Phys. Rev. e, 58, pp. 7054-7062
• Montgomery, D.C., Peck, E.A., (1992) Introduction to Linear Regression Analysis, , Wiley, New York
• Clauset, A., Shalizi, C.R., Newman, M.E.J., Power-law distributions in empirical data (2009) SIAM Review, 51, pp. 661-703
• Cavagna, A., Scale-free correlations in starling flocks (2010) Proc. Natl. Acad. Sci. USA, 107, pp. 11865-11870
• (2005) Gridded Population of the World, , http://sedac.ciesin.columbia.edu/gpw, Version 3 (GPWv3). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University (accessed 15 Nov 2011)
• Mora, T., Bialek, W., Are biological systems poised at criticality? (2011) J Stat. Phys., 144, pp. 268-302
• Mokdad, A.H., Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001 (2003) JAMA - J. Am. Med. Assoc., 289, pp. 76-79
• Rozenfeld, H.D., Rybski, D., Gabaix, X., Makse, H.A., The area and population of cities: New insights from a different perspective on cities (2011) Am. Econ. Rev., 101, pp. 560-580
• Stanley, H.E., Scale-invariant correlations in the biological and social sciences (1998) Philos. Mag. B, 77, pp. 1373-1388
• Chaikin, P.M., Lubensky, T.C., (2000) Principles of Condensed Matter Physics, , (Cambridge University Press
• Schneidman, E., Berry, M.J., Segev, R., Bialek, W., Weak pairwise correlations imply strongly correlated network states in a neural population (2006) Nature, 440, pp. 1007-1012
• Bettencourt, L., Growth, innovation, scaling, and the pace of life in cities (2007) Proc. Natl. Acad. Sci. USA, 104, pp. 7301-7306
• Weinrib, A., Halperin, B.I., Critical phenomena in systems with long-rangecorrelated quenched disorder (1983) Phys. Rev. B, 27, pp. 413-427
• Chang, V.W., Christakis, N.A., Income Inequality and Weight Status in U.S. Metropolitan Areas (2005) Soc. Sci. Med., 61, pp. 83-96
• Rozenfeld, H.D., Laws of population growth (2008) Proc. Natl. Acad. Sci. USA, 105, pp. 18702-18707
• Swinburn, B., Figger, G., Preventive strategies against weight gain and obesity (2002) Obes. Rev., 3, pp. 289-301

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