Epidemiology, public health and complex networks
Compartir
Autor
Rentería-Ramos, Rafael
Hurtado, Rafael
Urdinola, B. Piedad
Publicador
UNADCitación
Gestores bibliográficos
Metadatos
Mostrar el registro completo del ítemResumen
Health differences across socioeconomic strata have always pointed out that poorer and minorities have higher mortality and morbidity than richer and majorities. This difference is exacerbated for particular populations such as the victims of ongoing armed conflict, who are also much harder to quantify due to the conflict itself. This study uses complex network analysis applied to a combination of three large administrative records for the health system and mortality records in the province of Risaralda (Colombia) between 2011 and 2016. We estimate the most common causes of morbi-mortality for both victims of violence and the poorest inhabitants of Risaralda, defined as those who qualify as recipients of subsidies from the Colombian welfare program, called SISBEN, in the categories of those with the highest need, levels I and II. Both populations show high morbidity frequencies for non-communicable diseases such as Type II diabetes, hypertension and hyperglyceridaemia, mostly associated with exposure to unhealthy lifestyles. However, these mortality outcomes reflect the different treatments and lifestyles of both subpopulations. While the poorest replicate the same causes identified for morbidity, the victims of armed conflict die of additional causes including Type I diabetes, which reflects the even worse conditions they face.
Escuela
http://hemeroteca.unad.edu.co/index.php/memorias/article/view/3053/3098/*ref*/Aguilar-Palacio, I., Carrera-Lasfuentes, P., & Rabanaque, M. J. (2015). Youth unemployment and economic recession in Spain: influence on health and lifestyles in young people (16–24 years old). International journal of public health, 60(4), 427-435.
/*ref*/Akresh, R., Lucchetti, L., & Thirumurthy, H. (2012). Wars and child health: Evidence from the Eritrean-Ethiopian conflict. Journal of Development Economics, 99(2), 330–340. http://doi.org/10.1016/j.jdeveco.2012.04.001
/*ref*/Al-Qudsi, S. S. (2000). Profiles of refugee and non-refugee Palestinians from the West Bank and Gaza. International Migration (Geneva, Switzerland), 38(4), 79–107.
/*ref*/Anand, K., & Bianconi, G. (2009). Entropy measures for networks: Toward an information theory of complex topologies. Physical Review E, 80(4), 045102.
/*ref*/Audet, Mélisa, et al. (2017). Lifestyle Inequalities: Explaining Socioeconomic Differences in Preventive Practices of Clinically Overweight Women After Menopause. Qualitative Health Research, vol. 27, no 10, p. 1541-1552.
/*ref*/Balcan, D., Colizza, V., Gonçalves, B., Hu, H., Ramasco, J. J., & Vespignani, A. (2009). Multiscale mobility networks and the spatial spreading of infectious diseases. Proceedings of the National Academy of Sciences, 106(51), 21484- 21489.
/*ref*/Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. science, 286(5439), 509-512.
/*ref*/Brauer, F., Castillo-Chavez, C., Mubayi, A., & Towers, S. (2016). Some models for epidemics of vector-transmitted diseases. Infectious Disease Modelling, 1(1), 79-87.
/*ref*/Bichara, D., & Castillo-Chavez, C. (2016). Vector-borne diseases models with residence times–a lagrangian perspective. Mathematical biosciences, 281, 128-138.
/*ref*/Blattman, C., & Miguel, E. (2010). Civil War. Journal of Economic Literature, 48(1), 3–57. http://doi.org/10.1016/S1574-0013(06)02023-0
/*ref*/Bilak, A., Caterina, M., Charron, G., Crozet, S., et al. (2015) Global overview 2015: people internally displaced by conflict and violence. Internal Displacement Monitoring Centre, Norwegian Refugee Council.
/*ref*/Brinton, E. A. (2016). Management of hypertriglyceridemia for prevention of atherosclerotic cardiovascular disease. Endocrinology and metabolism clinics of North America, 45(1), 185-204.
/*ref*/Brown, David R.; Brewster, Luther G. (2015). The food environment is a complex social network. Social Science & Medicine, vol. 133, p. 202-204.
/*ref*/Brungborg, H., Tabeau, E., & Urdal, H. (2006). The Demography of Armed Conflict. Springer.
/*ref*/Brungborg, H., & Urdal, H. (2005). The Demography of Conflict and Violence: An Introduction. Journal of Peace Research, 42(4), 371–374. http://doi.org/10.1177/0022343389026001001 17
/*ref*/Bundervoet, T., Verwimp, P., & Akresh, R. (2008). Health and Civil War in Rural Burundi. Journal of Human Resources, 44(2), 536–563. http://doi.org/10.3368/jhr.44.2.536
/*ref*/Castillo-Chavez, C., Bichara, D., & Morin, B. R. (2016). Perspectives on the role of mobility, behavior, and time scales in the spread of diseases. Proceedings of the National Academy of Sciences, 113(51), 14582-14588.
/*ref*/Co, J., Jeffrey, J., Emmett, M., Modak, A., & Sondike, S. B. (2015). Obesity, hypertension and metabolic syndrome in children in West Virginia. The West Virginia medical journal, 111(4), 20.
/*ref*/De Azevedo Barros, Marilisa Berti, et al. (2016). Social inequalities in health behaviors among Brazilian adults: National Health Survey, 2013. International journal for equity in health, vol. 15, no 1, p. 148.
/*ref*/Delmas, E., Besson, M., Brice, M. H., Burkle, L., Dalla Riva, G. V., Fortin, M. J., ... & Olesen, J. M. (2017). Analyzing ecological networks of species interactions. bioRxiv, 112540.
/*ref*/Doocy, S., Lyles, E., Roberton, T., Akhu-Zaheya, L., Oweis, A., & Burnham, G. (2015a). Prevalence and care-seeking for chronic diseases among Syrian refugees in Jordan. BMC Public Health, 15(1), 1097.
/*ref*/Doocy, S., Lyles, E., Delbiso, T. D., & Robinson, C. W. (2015b). Internal displacement and the Syrian crisis: an analysis of trends from 2011– 2014. Conflict and health, 9(1), 33.
/*ref*/Dorogovtsev, S., & Mendes, J. (2003). Evolution of Networks: From Biological Networks to the Internet and WWW Oxford: Oxford Univ.
/*ref*/Estrada, E., & Rodriguez-Velazquez, J. A. (2005). Subgraph centrality in complex networks. Physical Review E, 71(5), 056103.
/*ref*/Fortunato, S. (2010). Community detection in graphs. Physics reports, 486(3), 75-174.
/*ref*/Furukawa, S., Fujita, T., Shimabukuro, M., Iwaki, M., Yamada, Y., et al. (2017). Increased oxidative stress in obesity and its impact on metabolic syndrome. The Journal of clinical investigation, 114(12), 1752- 1761. 18
/*ref*/Franco, Saúl, et al. (2006). The effects of the armed conflict on the life and health in Colombia. Ciência & Saúde Coletiva, vol. 11, p. 1247-1258.
/*ref*/Green, S., Şerban, M., Scholl, R., Jones, N., Brigandt, I., & Bechtel, W. (2017). Network analyses in systems biology: new strategies for dealing with biological complexity. Synthese, 1-27.
/*ref*/Inoue, M. (2017). Changing epidemiology of Helicobacter pylori in Japan. Gastric Cancer, 1-5.
/*ref*/Iqbal, Z. (2010). War and the Health of Nations. Stanford University Press.
/*ref*/Kalipeni, E; Oppong, J. (1998) The refugee crisis in Africa and implications for health and disease: a political ecology approach. Social Science & Medicine, 1998, vol. 46, no 12, p. 1637-1653.
/*ref*/Keely, Reed, and Waldman. 2001. “Understanding Mortality Patterns in Complex Humanitarian Emergencies”. In NRC (eds.) Forced Migration and Mortality. National Academy Press
/*ref*/Kumpula, J. M., Kivelä, M., Kaski, K., & Saramäki, J. (2008). Sequential algorithm for fast clique percolation. Physical Review E, 78(2), 026109.
/*ref*/Marmot, M. (2005). Social determinants of health inequalities. The Lancet, 365(9464), 1099-1104.
/*ref*/Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002). Network motifs: simple building blocks of complex networks. Science, 298(5594), 824-827.
/*ref*/Ministerio de Salud (2017). Modelo Integral de Atención de Salud “MIAS”, Url:https://www.minsalud.gov.co/Paginas/presentaciones-modelo-integralatencion-salud-mias.aspx.
/*ref*/Moran, W. P., Zhang, J., Gebregziabher, M., Brownfield, E. L., Davis, K. S., et al. (2017). Chaos to complexity: leveling the playing field for measuring value in primary care. Journal of evaluation in clinical practice, 23(2), 430-438.
/*ref*/Newman, M. (2010). Networks: an introduction. Oxford university press. NRC- National Research Council. 2001. Forced Migration and Mortality. National Academy Press 19
/*ref*/Ohlsson, B., Orho-Melander, M., & Nilsson, P. M. (2017). Higher Levels of Serum Zonulin May Rather Be Associated with Increased Risk of Obesity and Hyperlipidemia, Than with Gastrointestinal Symptoms or Disease Manifestations. International journal of molecular sciences, 18(3), 582.
/*ref*/Onnela, J., J. Saramäki, J. Kertész, K. Kaski. (2005). Intensity and coherence of motifs in weighted complex networks. Phys. Rev. E 71(6), 065103.1–065103.4.
/*ref*/Palla, G., Derényi, I., Farkas, I., & Vicsek, T. (2005). Uncovering the overlapping community structure of complex networks in nature and society. arXiv preprint physics/0506133.
/*ref*/Pastor-Satorras, R., & Vespignani, A. (2002). Immunization of complex networks. Physical Review E, 65(3), 036104.
/*ref*/Personhood, C., Chronic, R. W., Home, I., Guideline, H., Rousseau, H., & Water, P. (2014). Self-management of Hypertension in High-Risk Patients 799.
/*ref*/Powers, M. A., Bardsley, J., Cypress, M., Duker, P., Funnell, M. M., et al. (2017). Diabetes self-management education and support in type 2 diabetes: a joint position statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics. The Diabetes Educator, 43(1), 40-53.
/*ref*/Reconciliacion Colombia. 2015. Los desplazados son más pobres que el resto de la población, 16 February 2015, available at: http://goo.gl/eK5F38
/*ref*/Retterstøl, K., Narverud, I., Selmer, R., Berge, K. E., Osnes, I. V., et al. (2017). Severe hypertriglyceridemia in Norway: prevalence, clinical and genetic characteristics. Lipids in Health and Disease, 16(1), 115.
/*ref*/RNI (2017). Registro Nacional de Información. Url:https://rni.unidadvictimas.gov.co/RUV, Consultado: 05-06-2017.
/*ref*/Rodríguez‐Rodríguez, M. C., Jordano, P., & Valido, A. (2017). Functional consequences of plant‐animal interactions along the mutualism‐antagonism gradient. Ecology, 98(5), 1266-1276.
/*ref*/Smoly, I. Y., Lerman, E., Ziv-Ukelson, M., & Yeger-Lotem, E. (2017). MotifNet: a web-server for network motif analysis. Bioinformatics, 33(12), 1907-1909. Sobel, M. E. (2013). Lifestyle and social structure: Concepts, definitions, analyses. Elsevier.
/*ref*/Strogatz, S. H. (2001). Exploring complex networks. nature, 410(6825), 268.
/*ref*/Taimeh, Z., Duprez, D., & Garry, D. J. (2017). Heart Failure Prevention. In Congestive Heart Failure and Cardiac Transplantation (pp. 267-284). Springer International Publishing.
/*ref*/Torche, F., & Villarreal, A. (2014). Prenatal Exposure to Violence and Birth Weight in Mexico: Selectivity, Exposure, and Behavioral Responses. American Sociological Review, 79(5), 966–992. http://doi.org/10.1177/0003122414544733
/*ref*/Towers, S., Brauer, F., Castillo-Chavez, C., Falconar, A. K., Mubayi, A., & Romero-Vivas, C. M. (2016). Estimate of the reproduction number of the 2015 Zika virus outbreak in Barranquilla, Colombia, and estimation of the relative role of sexual transmission. Epidemics, 17, 50-55.
/*ref*/Turel, O., Romashkin, A., & Morrison, K. M. (2016). Health outcomes of information system use lifestyles among adolescents: Videogame addiction, sleep curtailment and cardio-metabolic deficiencies. PloS one, 11(5), e0154764.
/*ref*/United Nations High Commissioner for Refugees-UNHCR. 2015. UNHCR country operations profile – Colombia, available at: http://goo.gl/2a7r1S, downloaded on 26 March 2015
/*ref*/Urdal, H., & Che, C. P. (2013). War and Gender Inequalities in Health: The Impact of Armed Conflict on Fertility and Maternal Mortality. International Interactions, 39(4), 489–510. http://doi.org/10.1080/03050629.2013.805133
/*ref*/Urdinola, B. Piedad, Torres Avilés, Francisco, & Velasco, Jairo Alexander. (2017). The Homicide Atlas in Colombia: Contagion and Under-Registration for Small Areas. Cuadernos de Geografía - Revista Colombiana de Geografía, 26(1), 101-118. https://dx.doi.org/10.15446/rcdg.v26n1.55429 • Urdinola, B. P. (2004).Could Political Violence Affect Infant Mortality? The Colombian Case. Coyuntura Social (31), 63-79.
/*ref*/Urdinola, B. P. (2001). Forced Migration: The Case of Internally Displaced Population in Colombia. Les Cahiers Alhim, 3. 21
/*ref*/Varan, B., Tokel, K., & Yilmaz, G. (1999). Malnutrition and growth failure in cyanotic and acyanotic congenital heart disease with and without pulmonary hypertension. Archives of Disease in Childhood, 81(1), 49-52.
/*ref*/Verwimp, P., & Van Bavel, J. (2005). Child survival and fertility of refugees in Rwanda. European Journal of Population, 21(2–3), 271–290. http://doi.org/10.1007/s10680-005-6856-1
/*ref*/Vyhrystyuk, M. S., Rogozhnikova, T. P., Semenova, G. I., Shusharina, I. A., Savelyeva, E. A., & Kunygina, O. V. (2017). The Evolution of the Concept of Public Health in Modern Youth Discourse. Pertanika Journal of Social Sciences & Humanities, 25.
/*ref*/World Health Organization (WHO) (2002). World Report on Violence and Health. Edited by E.G. Krug, L.L. Dahlberg, J.A. Mercy, A. B. Zwi and R. Lozano. WHO, Geneva
/*ref*/Xu, Y., Niu, Y., Gao, Y., Wang, F., Qin, W., et al (2017). Borapetoside E, a Clerodane Diterpenoid Extracted from Tinospora crispa, Improves Hyperglycemia and Hyperlipidemia in High-Fat-Diet-Induced Type 2 Diabetes Mice. Journal of Natural Products.
/*ref*/Zuin, M., Caserta, C., Romanò, L., Mele, A., Zanetti, A., Cannatelli, R., & Battezzati, P. M. (2017). Seroepidemiology of HEV and HAV in two populations with different socio-economic levels and hygienic/sanitary conditions. European Journal of Clinical Microbiology & Infectious Diseases, 36(3), 479-485.
Formato
application/pdfTipo de Recurso Digital
info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion
Artículo revisado por pares
URL Fuente
http://hemeroteca.unad.edu.co/index.php/memorias/article/view/305310.22490/25904779.3053
Colecciones
- Memorias [558]