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  A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

  Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó

  23-10-2023

  https://doi.org/10.4081/gh.2023.1212

  1027

  PDF: 561

  HTML: 13

• Estimating the geographical distribution of the prevalence of the metabolic syndrome in young Mexicans

  Miguel Murguía-Romero, Rafael Jiménez-Flores, Rafael Villalobos-Molina, Adolfo René Méndez-Cruz

  S43-S50

  01-09-2012

  https://doi.org/10.4081/gh.2012.121

  1257

  PDF: 822
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  The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

  Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang

  13-09-2023

  https://doi.org/10.4081/gh.2023.1197

  967

  PDF: 389

  HTML: 14
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  Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

  Dustin T. Duncan, Ryan R. Ruff, Basile Chaix, Seann D. Regan, James H. Williams, Joseph Ravenell, Marie A. Bragg, Gbenga Ogedegbe, Brian Elbel

  31-05-2016

  https://doi.org/10.4081/gh.2016.399

  3825

  PDF: 1765

  HTML: 1476
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  A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico

  Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo

  24-03-2022

  https://doi.org/10.4081/gh.2022.1054

  1193

  PDF: 322

  Appendix: 160

  HTML: 28
• 

  Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis

  Ladan Goshayeshi, Ali Pourahmadi, Majid Ghayour-Mobarhan, Soheil Hashtarkhani, Sajad Karimian, Reza Shahhosein Dastjerdi, Babak Eghbali, Efat Seyfi, Behzad Kiani

  06-11-2019

  https://doi.org/10.4081/gh.2019.793

  3886

  PDF: 1390

  HTML: 58