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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

  1556

  Downloads: 709

  HTML: 30
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  Cancer incidence in Priolo, Sicily: a spatial approach for estimation of industrial air pollution impact

  Lucia Fazzo, Mario Carere, Francesco Tisano, Caterina Bruno, Achille Cernigliaro, Maria Rita Cicero, Pietro Comba, Maria Luisa Contrino, Marco De Santis, Fabrizio Falleni, Vincenzo Ingallinella, Anselmo Madeddu, Ida Marcello, Carlo Regalbuto, Giovanna Sciacca, Maria Eleonora Soggiu, Amerigo Zona

  18-04-2016

  https://doi.org/10.4081/gh.2016.320

  5501

  Downloads: 2232

  HTML: 2124
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  Oncologic burden in Ukraine: regional inequalities and environmental risk factors

  Anatolii Kornus, Olesia Kornus, Yurii Liannoi, Olena Danylchenko, Serhii Lutsenko

  14-11-2025

  https://doi.org/10.4081/gh.2025.1418

  902

  Downloads: 361

  HTML: 23

• Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models

  Alessandra Capolupo, Stefania Pindozzi, Collins Okello, Lorenzo Boccia

  S699-S707

  01-12-2014

  https://doi.org/10.4081/gh.2014.298

  4677

  Downloads: 2268

• Elucidating the underlying causes of oral cancer through spatial clustering in high-risk areas of Taiwan with a distinct gender ratio of incidence

  Chi-Ting Chiang, Yaw-Huei Hwang, Che-Chun Su, Kuo-Yang Tsai, Ie-Bin Lian, Tzu-Hsuen Yuan, Tsun-Kuo Chang

  231-242

  01-05-2010

  https://doi.org/10.4081/gh.2010.203

  3046

  Downloads: 1198
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  Predicting census-tract obesity prevalence using integrated environmental, built-environment, and neighborhood data: a scale-aware geospatial machine-learning proof-of-concept

  Doreen Jehu-Appiah, Emmanuel Obeng-Gyasi

  22-10-2026

  https://doi.org/10.4081/gh.2026.1536

  0

  Downloads: 0
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  Spatial epidemiology of cancer: a review of data sources, methods and risk factors

  Rita Roquette, Marco Painho, Baltazar Nunes

  08-05-2017

  https://doi.org/10.4081/gh.2017.504

  8881

  Downloads: 3702

  HTML: 2729
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  Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

  Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan

  25-05-2023

  https://doi.org/10.4081/gh.2023.1186

  2316

  Downloads: 1289

  HTML: 78
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  Understanding needs and barriers to using geospatial tools for public health policymaking in China

  Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee

  07-05-2018

  https://doi.org/10.4081/gh.2018.594

  2209

  Downloads: 1084

  HTML: 383
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  A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

  Wasana Silangam, Amornrat Luenam

  14-11-2025

  https://doi.org/10.4081/gh.2025.1424

  1033

  Downloads: 539

  HTML: 15
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  Spatial association between COVID-19 incidence rate and nighttime light index

  Amornrat Luenam, Nattapong Puttanapong

  18-03-2022

  https://doi.org/10.4081/gh.2022.1066

  2642

  Downloads: 1103

  HTML: 106
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  Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

  Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee

  31-05-2016

  https://doi.org/10.4081/gh.2016.420

  3330

  Downloads: 1898

  HTML: 1389