Chilam – Laboratorio para la simulación de Sistemas Complejos y Adaptativos

Producción académica

Conductome

• Batta E. & C. R. Stephens. (2023). Evolutionary success of the thrifty genotype depends on both behavioral adaptations and temporal variability in the food environment. Scientific Reports (in press).
• Batta, J. & Stephens, C.R. (2021). Agent based models of heuristic decision making related to energy intake and expenditure, sometido a Adaptive Behavior Dic 2021
• Easton, J.F., Stephens, C.R., Sicilia, H.R. (2017). An Analysis of Real, Self-Perceived, and Desired BMI: Is There a Need for Regular Screening to Correct Misperceptions and Motivate Weight Reduction? Frontiers in Public Health, 5(20). https://doi.org/10.3389/fpubh.2017.00012
• Easton, J.F., Stephens, C.R., Sicilia, H.R. (2017). The effect of a medical diagnosis on self-perceptions of weight for Mexican adults: perception of change and cognitive biases. BMC Obesity 4(16).
• Espitia-Bautista, E., Guerrero-Vargas N.N., Rizo-Pastrana, I., Escobar, C. & Stephens C.R. (2022). Differences between administrative personnel and researchers in measurements in actigraphy, relevance in metabolism. International Journal of Obesity. Enviado, en revision.
• Stephens C.R., Gutiérrez J.A.B., Flores H. (2020) Bayesian Classification of Personal Histories – An application to the Obesity Epidemic. In: Hassanien A., Azar A., Gaber T., Bhatnagar R., F. Tolba M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham
• Stephens, C.R., Easton J.F., Robles-Cabrera A., Fossion R., de la Cruz L., Martínez-Tapia R., Barajas-Martínez A., Hernández-Chávez A., López-Rivera J.A., Rivera A.L. (2020). The Impact of Education and Age on Metabolic Disorders, Front. Public Health, https://doi.org/10.3389/fpubh.2020.00180
• Stephens, C.R., Easton, J.F., Sicilia, H.R. (2021). You aren’t what you eat, you become what you eat, 2021/1/1 medRxiv https://doi.org/10.1101/2021.08.23.21262191
• Wrzecionkowska D., Calleja, N., Robles Cabrera, A. & Díaz Loving, R., (2022). Efecto de dos protocolos de intervención para el incremento de ejercicio físico: Estudio longitudinal. Enviado a Acta de investigación psicológica, UNAM
• Wrzecionkowska D., Rivera Aragón S., & Diaz Loving R., (2020). How scale and mirror influence attitudes towards an obese figure. Psicología Iberoamericana, 6(3),175-88. https://doi.org/10.1111/cob.12147
• Wrzecionkowska D., Robles Cabrera, A., Calleja, N., Díaz Loving, R., & Rivera Aragón, S. (2022). Health Action Process Approach for Predicting Exercising in Mexican Adults with Cardio-metabolic Risk. Revista Informes Psicológicos, 22(1).
• Wrzecionkowska, D., & Calleja, N. Impact of Weight on Quality-of-Life Questionnaire-Lite, Mexican version. Reliability and validity evidence. Enviado a Revista de Psicología de la Universidad de Chile.
• Wrzecionkowska, D., & Rivera Aragón, S. (2021). Cuestionario de Tres Factores de la Alimentación R18 (TFEQ-R18) Versión en español: Análisis de la Estructura Factorial en los Adultos de Peso Normal y con Sobrepeso. Acta De Investigación Psicológica, 11(1), 84-94. https://doi.org/10.22201/fpsi.20074719e.2021.1.376
• Wrzecionkowska, D., Diaz Loving R., & Flores, O. (2021). How well do you know your size? Accuracy of selfreported measures vs. BMI & waist to height ratio among Mexican women. Journal of Behavior, Health & Social Issues 13(1).
• Wrzecionkowska. D., (2018). Anti-obesity Public Service Announcements: An Exploratory Study on Perceived Realism and Identification with Advertisement Characters. Actualidades en Psicología, 32(125).
• Wrzecionkowska. D., (2018). Normas Percibidas A Través De Los Anuncios Contra La Obesidad. En Aportaciones Actuales de la Psicología Social, Volumen IV (pp.563-582). Mexico, Asociación Mexicana de Psicología Social. ISBN: 978-607-96539-6-5

Libro “Obesidad y metabolismo, una perspectiva integrativa: aportaciones desde la ciencia básica a la ciencia aplicada” (2022) Editorial Manual Moderno. (por publicar).

Capítulos:

• Stephens, C.R. Conductome: un nuevo paradigma para la obesidad.
• Espitia-Bautista E., Buenrostro M. & Barajas M. Libro: “Obesidad y metabolismo, una perspectiva integrativa: aportaciones desde la ciencia básica a la ciencia aplicada”.
• Escobar Briones, C., Guerrero-Vargas, N.N., Espitia-Bautista, E.N., & Buijs. R.M. La desincronización circadiana como factor de riesgo para padecer síndrome metabólico y obesidad.
• Barajas Martínez, A., Tixi Verdugo, W., Lazo de la Vega Monroy, M.L., Aguilera Méndez, A., Pastén Hidalgo, K., & Fernández Mejía, C. Efectos de la inadecuada alimentación durante la gestación y vida temprana en el desarrollo de enfermedades crónico degenerativas en la edad adulta.
• Méndez Hernández, R., Martínez Gómez, R., Tort Enríquez, Y.G., & Buijs, R.M. La regulación del balance energético: el hipotálamo como centro integrado.
• Buenrostro Jáuregui, M.H., & Mata Luévanos, J.A. Mecanismos neurofisiológicos en la adicción a la comida.
• Wrzecionkowska, D., Díaz–Loving, R., & Rivera Aragón, S. Papel de la percepción en la obesidad.
• Barajas Martínez, A., & Stephens, C.R. El síndrome metabólico como enfermedad compleja.

EpI-PUMA

• Wrzecionkowska, D., Stephens, C. R., & Gutiérrez Reyes, J. P. (2024). Why didn’t people get vaccinated against COVID-19? Results from a nationwide survey among Mexican adults [Preprint]. Public and Global Health. https://doi.org/10.1101/2024.01.17.24301326
• Rengifo-Correa, L., Rodríguez-Moreno, Á., Becker, I., Falcón-Lezama, J. A., Tapia-Conyer, R., Sánchez-Montes, S., Suzán, G., Stephens, C. R., & González-Salazar, C. (2024). Risk of a vector-borne endemic zoonosis for wildlife: Hosts, large-scale geography, and diversity of vector-host interactions for Trypanosoma cruzi. Acta Tropica, 251, 107117. https://doi.org/10.1016/j.actatropica.2024.107117
• Stephens CR, González-Salazar C, Romero-Martínez P. “Does a Respiratory Virus Have an Ecological Niche, and If So, Can It Be Mapped?” Yes and Yes. Tropical Medicine and Infectious Disease. 2023; 8(3):178. https://doi.org/10.3390/tropicalmed8030178
• Gabriel E. García Peña, Romel Calero, Alejandro Salinas-Medina y José Luis Gordillo. La probabilidad de existir o no existir. Teoría del Nicho y Ciencia de Datos para estudiar la Covid. 2023; Mixcoac (ISSN: 248-8925)
• A. Salinas Medina, G. E. García Peña, J. L. Gordillo, R. Calero, P. Romero Martínez, K. Jurado Jiménez, C. Gonzá-lez-Salazar y C. R. Stephens, “EpI-PUMA: Plataforma Universitaria de Inteligencia Epidemiológica de SARS-CoV-2, Versión 1.0,” TIES, Revista de Tecnología e Innovación en Educación Superior, no. 7, marzo, 2023. [En línea]. Disponible en: https://ties.unam.mx/

EPI-SPECIES

• Rengifo-Correa, L., Rodríguez-Moreno, Á., Becker, I., Falcón-Lezama, J. A., Tapia-Conyer, R., Sánchez-Montes, S., Suzán, G., Stephens, C. R., & González-Salazar, C. (2024). Risk of a vector-borne endemic zoonosis for wildlife: Hosts, large-scale geography, and diversity of vector-host interactions for Trypanosoma cruzi. Acta Tropica, 251, 107117. https://doi.org/10.1016/j.actatropica.2024.107117
• Becker, I., Miranda-Ortiz, H., Fernández-Figueroa, E. A., Sánchez-Montes, S., Colunga-Salas, P., Grostieta, E., Juárez-Gabriel, J., Lozano-Sardaneta, Y. N., Arce-Fonseca, M., Rodríguez-Morales, O., Meneses-Ruíz, G., Pastén-Sánchez, S., López Martínez, I., González-Guzmán, S., Paredes-Cervantes, V., Moreira, O. C., Finamore-Araujo, P., Canseco-Méndez, J. C., Coquis-Navarrete, U., … Stephens, C. R. (2023). The Low Variability of Tc24 in Trypanosoma cruzi TcI as an Advantage for Chagas Disease Prophylaxis and Diagnosis in Mexico. Pathogens, 12(3), 368. https://doi.org/10.3390/pathogens12030368
• Jacinto-Maldonado, M., González-Salazar, C., Basanta, M. D., García-Peña, G. E., Saucedo, B., Lesbarrères, D., Meza-Figueroa, D., & Stephens, C. R. (2023). Water Pollution Increases the Risk of Chytridiomycosis in Mexican Amphibians. EcoHealth, 20(1), 74–83. https://doi.org/10.1007/s10393-023-01631-0
• González-Salazar, C., Meneses-Mosquera, A. K., Aguirre-Peña, A., Fernández-Castel, K. P. J., Stephens, C. R., Mendoza-Ponce, A., Velasco, J. A., Calderón-Bustamante, O., & Estrada, F. (2022). Toward New Epidemiological Landscapes of Trypanosoma cruzi (Kinetoplastida, Trypanosomatidae) Transmission under Future Human-Modified Land Cover and Climatic Change in Mexico. Tropical Medicine and Infectious Disease, 7(9), 221. https://doi.org/10.3390/tropicalmed7090221
• Constantino González-Salazar, Christopher R. Stephens, and Anny K. Meneses-Mosquera. Assessment of the potential establishment of Lyme endemic cycles in Mexico. Journal of Vector Ecology 46(2), 207-220, (4 November 2021). https://doi.org/10.52707/1081-1710-46.2.207
• Jesús Sotomayor-Bonilla, Enrique D. Callejo-Canal, Constantino González-Salazar, Gerardo Suzán, Christopher R. Stephens. Using data mining and network analysis to infer arboviral dynamics: The case of mosquito-borne flaviviruses reported in Mexico. Insects. 2021, 12, 398. https://doi.org/10.3390/insects12050398
• Fabiola Nieto-Rabiela, Oscar Rico-Chávez, Gerardo Suzán, Christopher R Stephens. Niche theory-based modeling of assembly processes of viral communities in bats. Ecol Evol. 2021; 11: 6305– 6314. https://doi.org/10.1002/ece3.7482
• Sotomayor-Bonilla, J., Callejo-Canal, E.D., González-Salazar, C., Suzán, G., Stephens, C.R. 2021. Using data mining and network analysis to infer arboviral dynamics: The case of mosquito-borne flaviviruses reported in Mexico. Insects. 2021, 12, 398. https://doi.org/10.3390/
• González-Salazar, C., Stephens, C.R. & Sánchez-Cordero, V. 2017. Response to letter to the editor” non-human hosts and Zika virus maintenance. EcoHealth 14: 200-202. doi.org/10.1007/s10393-017-1246-9.
• González-Salazar, C., Stephens, C.R. & Sánchez-Cordero, V. 2017. Predicting the Potential Role of Non-human Hosts in Zika Virus Maintenance EcoHealth 14: 1721-177 doi: 10.1007/s10393-017-1206-4.
• Rengifo-Correa, L., Stephens, C.R., Morrone, J.J., Téllez-Rendón, J.L. & González-Salazar, C. 2017. Understanding transmissibility patterns of Chagas disease through complex vector-host networks. Parasitology. 144: 760-772. doi: 10.1017/S0031182016002468.
• Rodríguez-Rojas, J. J., Rodríguez-Moreno, Á., Berzunza-Cruz, M., Gutiérrez-Granados, G., Becker, I., Sánchez-Cordero, V., … & Rebollar-Téllez, E. A. 2017. Ecology of phlebotomine sandflies and putative reservoir hosts of leishmaniasis in a border area in Northeastern Mexico: implications for the risk of transmission of Leishmania mexicana in Mexico and the USA. Parasite, 24.
• Ibarra-Cerdeña, C. N., Valiente-Banuet, L., Sánchez-Cordero, V., Stephens, C. R., & Ramsey, J. M. 2017. Trypanosoma cruzi reservoir—triatomine vector co-occurrence networks reveal meta-community effects by synanthropic mammals on geographic dispersal. PeerJ, 5, e3152.
• Stephens, C.R., González-Salazar, C., Sánchez-Cordero, V., Becker I., Rebollar-Téllez, E., Rodríguez-Moreno, Á., et al. 2016. Can you judge a disease host by the company it keeps? Predicting disease hosts and their relative importance: a case study for Leishmaniasis. PLoS Neglected Tropical Diseases 10(9): e0005004. doi:10.1371/journal.pntd.0005004.
• Berzunza-Cruz, M., Rodríguez-Moreno, Á., Gutiérrez-Granados, G., González-Salazar, C., Stephens C.R., et al. 2015. Leishmania (L.) mexicana Infected Bats in Mexico: Novel Potential Reservoirs. PLoS Neglected Tropical Diseases 9: e0003438.
• González-Salazar, C. & Stephens, C.R. 2012. Constructing Ecological Networks: A Tool to Infer Risk of Transmission and Dispersal of Leishmaniasis. Zoonoses and Public Health 59: 179–193.
• Stephens, C.R., Giménez, J., González-Rosas, C., Ibarra-Cerdeña, C., Sánchez-Cordero, V. & González-Salazar, C. 2009. Using Biotic Interaction Networks for Prediction in Biodiversity and Emerging Diseases. PLoS ONE 4: e5725.

Proyecto 42

• Espitia-Bautista, E., Morales-Bautista, F., Rizo-Pastrana, I., Escobar, C., & Stephens, C. R. (2022). Healthy behaviors and circadian patterns determined by actigraphy in researchers and administrative personnel as protective factors against metabolic disease and obesity [Preprint]. Occupational and Environmental Health. https://doi.org/10.1101/2022.12.07.22283230
• “Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: a data mining approach”, Computers in biology and medicine, 54, 199-210 (2014); (JF Easton, CR Stephens, M Angelova).
• “The effect of a medical diagnosis on self-perceptions of weight for Mexican adults: perception of change and cognitive biases”, BMC Obesity Volumen: 4, Número: 16 (2017); (Jonathan Easton, Christopher R. Stephens y H. Rom an Sicilia).
• “An Analysis of Real, Self-Perceived, and Desired BMI: Is There a Need for Regular Screening to Correct Misperceptions and Motivate Weight Reduction?”, Frontiers in Public Health, Volumen 5, Páginas 20 (2017) https://doi.org/10.3389/fpubh.2017.00012; (Easton, JF; Stephens, CR; Rom an-Sicilia, H).
• “Anthropometric Measurements and Mortality in Frail Older Adults, Experimental Gerontology Vol. 110, Páginas 61-66 (2018); (Easton JF, Stephens CR, Rom an-Sicilia H, Cesari M, Pérez-Zepeda MU). Classification of diagnostic subcategories for obesity and diabetes based on eating patterns: How do we react to being diagnosed?”, Nutrition & Dietetics, Volumen 76 (1), Páginas 104-109 (2019); (Easton JF, Rom an-Sicilia H, Stephens CR).
• “Genetic contributors to serum uric acid levels in Mexicans and their effect on premature coronary artery disease, International journal of cardiology, Volumen 279, Páginas 168-173 (2019); (Luis R Macias-Kauffer, Hugo Villamil-Ram  rez, Paola Le on-Mimila, Leonor Jacobo-Albavera, Carlos Posadas-Romero, Rosalinda Posadas-Sánchez, Blanca E López-Contreras, Sofa Morán-Ramos, Sandra Romero-Hidalgo, Víctor Acuña-Alonzo, E Blanca, Maria-Cátira Bortolini, Carla Gallo, Gabriel Bedoya, Francisco Rothhammer, Rolando González-Jose, Andrés Ruiz-Linares, Christopher R Stephens, Rafael Velazquez-Cruz, Cecilia Fernández del Valle-Laisequilla, Juan G Reyes-García, Lina M Barranco Garduño, Miriam del C Carrasco-Portugal, Francisco J Flores-Murrieta, Gilberto Vargas-Alarcón, Carlos A Aguilar-Salinas, Teresa Villarreal-Molina, Samuel Canizales-Quinteros).
• “Metabolic Physiological Networks: The Impact of Age”, Frontiers in physiology, 11, 587994. https://doi.org/10.3389/fphys.2020.587994 (2020); (Barajas-Martínez, A., Easton, J. F., Rivera, A. L., Martínez-Tapia, R., de la Cruz, L., Robles-Cabrera, A., y Stephens, C. R.).
• “The Impact of Education and Age on Metabolic Disorders”, Front. Public Health, https://doi.org/10.3389/fpubh.2020.00180 (2020); (Stephens Christopher R., Easton Jonathan F., Robles-Cabrera Adriana, Fossion Ruben, de la Cruz Lizbeth, Martínez-Tapia Ricardo, Barajas-Martínez Antonio, Hernández-Chávez Alejandro, López-Rivera Juan Antonio, Rivera Ana Leonor).
• “Physiological Network From Anthropometric and Blood Test Biomarkers”, Frontiers in physiology, 11, https://doi.org/10.3389/fphys.2020.612598 (2021); (Antonio Barajas-Martínez, Elizabeth Ibarra-Coronado, Martha Patricia Sierra-Vargas, Ivette Cruz-Bautista, Paloma Almeda-Valdes, Carlos A Aguilar-Salinas, Ruben Fossion, Christopher R Stephens, Claudia Vargas-Domínguez, Octavio Gamaliel Atzatzi- Aguilar, Yazmín Debray-García, Rogelio García-Torrentera, Karen Bobadilla, Mara Augusta Naranjo Meneses, Dulce Abril Mena Orozco, César Ernesto Lam-Chung, Vania Martínez Garcés, Octavio A Lecona, Arlex O Marín-García, Alejandro Frank, Ana Leonor Rivera).
• “Differences in the Physiological Network of Healthy Young Subjects”, Front. Physiol. 12:678507. doi: 10.3389/fphys.2021.678507 (2021); (Barajas-Martínez A, Ibarra-Coronado E, Fossion R, Toledo-Roy JC, Martínez-Garcés V, López-Rivera JA, Tello- Santoyo G, Lavin RD, Gómez JL, Stephens CR, Aguilar-Salinas CA, Esta~nol B, Torres N, Tovar AR, Resendis-Antonio O, Hiriart M, Frank A y Rivera AL).
• “Data mining and time-series analysis as two complementary approaches to study body temperature in obesity, Proceedings of DH17 (2017); (Fossion, R; Stephens, CR; García-Pelagio, KP; García-Iglesias, L).
• “Bayesian Classification of Personal Histories – An application to the Obesity Epidemic”, In: Hassanien A., Azar A., Gaber T., Bhatnagar R., F. Tolba M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9 24 (2020); (Stephens C.R., Guti errez J.A.B., Flores H.).
• “Thoughts on the use of standard cut-off values for physiological health indicators”, AIP Conference Proceedings 2090, 050006 https://doi.org/10.1063/1.5095921 (2019); (Jonathan F. Easton, Adriana Robles-Cabrera, Ruben Fossion, Ana Leonor Rivera, and Christopher R. Stephens).
• “La revolución de datos, su impacto en la salud pública y la complejidad de la Diabetes Mellitus Tipo 2, publicado en Grandes Retos del Siglo XXI, coordinado por Hector Vasconcelos (Dirección General de Publicaciones y Fomento País: México Año, 2014) Páginas: 20 (Stephens, CR; Flores-Huerta, H; Herrera, JA; Arauz, G; Easton, J).

SPECIES

• Rengifo-Correa, L., González-Salazar, C., & Stephens, C. R. (2023). Disentangling the contributions of biotic and abiotic predictors in the niche and the species distribution model of Trypanosoma cruzi, etiological agent of Chagas disease. Acta Tropica, 238, 106757. https://doi.org/10.1016/j.actatropica.2022.106757
• “Biotic interactions may limit the southern distribution of bobcats Lynx rufus” Ecography 31, 757-764 (2008); (Víctor Sánchez-Cordero, David Stockwell, Hawoei Liu, SahotraSarkar, Christopher R. Stephens and Joaquin Giménez).
• “Using Biotic Interaction Networks for Prediction in Biodiversity and Emerging Diseases” PLoS One 4, 5725-5740 (2009); (Christopher R. Stephens, J. Giménez, C. González, C.González-Salazar, C. Ibarra, V. Sánchez-Cordero).
• “Comparing the relative contributions of biotic and abiotic factors as mediators of species distributions “ Ecological Modeling, 248, 57-70 (2010); (C. González-Salazar, Christopher R. Stephens and P. Marquet).
• “Constructing Ecological Networks: A Tool to Infer Risk of Transmission and Dispersal of Leishmaniasis” Zoonoses and Public Health 59, 179-193 (2012); (C. González-Salazar and Christopher R. Stephens).
• “Leishmania (L.) mexicana infected bats in Mexico: novel potential reservoirs” PLoS Negl Trop Dis 9, No. 1, e0003438 (2015); (Berzunza-Cruz, Miriam, Angel Rodríguez-Moreno, Gabriel Gutiérrez-Granados, Constantino González-Salazar, Christopher R.Stephens, Mircea Hidalgo-Mihart, Carlos F. Marina et al.).
• “When is the Naive Bayes approximation not so naive?” Machine Learning, 1-45 (2017); (Christopher R. Stephens, Hugo Flores-Huerta y Ana E. Ruíz).
• “Can you judge a disease host by the company it keeps? Predicting disease hosts and their relative importance using complex networks” PLoS Neglected Tropical Diseases 10 (10), e0005004 (2015); (Christopher R. Stephens; Constantino González- Salazar; Victor Sánchez-Cordero; Ingeborg Becker; Eduardo Rebollar-Tellez; Ángel Rodríguez-Moreno; Miriam Berzunza-Cruz; Cristina Domingo Balcells; Gabriel Gutiérrez-Granados; Mircea Hidalgo-Mihart; Carlos N. Ibarra-Cerdeña; Pilar Ibarra; Luis Ignacio Iñiguez-Davalos; María Magdalena Ramírez-Martínez).
• “Understanding transmissibility patterns of Chagas disease through complex vector- host networks” Parasitology, Vol.: 144 Número: 6; Páginas: 760-772 (2017); (Rengifo- Correa, L; Stephens, Christopher R; Morrone, JJ; Téllez-Rendón, JL; González-Salazar, C).
• “Predicting the potential role of non-human hosts in Zika virus maintenance” Eco- Health Volumen: 14; Número: 1; Páginas: 171-177 (2017); (González-Salazar, C; Stephens, Christopher R; Sánchez-Cordero, V).
• “Trypanosoma cruzi reservoir-triatomine vector co-occurrence networks reveal meta- community effects by synanthropic mammals on geographic dispersal” PeerJ Volumen: 5; Páginas: e3152 (2017); (Ibarra-Cerdeña, CN; Valiente-Banuet, L; Sánchez-Cordero, V; Stephens, Christopher R; Ramsey, JM).
• “Ecology of the phlebotomine sandflies and putative reservoirs hosts of leishmaniasis in a border area in Northeastern Mexico: implications for the risk of transmission of Leish-mania mexicana in Mexico and the USA” Parasite Volumen: 24; Número: 33 (2017); (Rodríguez-Rojas, JJ; Rodríguez-Moreno, A; Berzunza-Cruz, M; Gutiérrez-Granados, G; Becker, I; Sánchez-Cordero, V; Stephens, Christopher R; Fernández-Salas, I; Rebollar-Téllez, EA).
• “Bayesian Inference of Ecological Interactions from Spatial Data” Entropy (2017) Vol. 19, Número: 12; Página: 547 (Stephens, Christopher R; Sánchez-Cordero, V; González-Salazar,C).