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  Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

  Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang

  03-07-2023

  https://doi.org/10.4081/gh.2023.1151

  2069

  PDF: 891

  Supplementary Materials: 157

  HTML: 61
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  Spatial correlates of COVID-19 first wave across continental Portugal

  Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha

  23-06-2022

  https://doi.org/10.4081/gh.2022.1073

  1652

  PDF: 579

  HTML: 51
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  Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

  Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno

  12-09-2023

  https://doi.org/10.4081/gh.2023.1202

  1782

  PDF: 901

  HTML: 116
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  Global spreading of Omicron variant of COVID-19

  Pengxin Zhang, Shuhan Yang, Shaoqing Dai, Darren How Jin Aik, Shujuan Yang, Peng Jia

  13-07-2022

  https://doi.org/10.4081/gh.2022.1083

  1981

  PDF: 862

  HTML: 53
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  Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record

  Ajib Diptyanusa, Lutfan Lazuardi, Retnadi Heru Jatmiko

  17-06-2020

  https://doi.org/10.4081/gh.2020.862

  2594

  PDF: 1294

  HTML: 180
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  Diagnostic approaches to malaria in Zambia, 2009-2014

  Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque

  03-06-2015

  https://doi.org/10.4081/gh.2015.330

  3634

  PDF: 1439

  HTML: 1170
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  Sandwich mapping of schistosomiasis risk in Anhui Province, China

  Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

  03-06-2015

  https://doi.org/10.4081/gh.2015.324

  3162

  PDF: 1239

  HTML: 1085
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  Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

  Yucheng Wang, Thomas C. Tsai, Dustin T. Duncan, John Ji

  14-01-2022

  https://doi.org/10.4081/gh.2022.1017

  5739

  PDF: 1074

  Appendix: 434

  HTML: 54

• Low-altitude outbreaks of human fascioliasis related with summer rainfall in Gilan province, Iran

  Abdoreza Salahi-Moghaddam, Majid Habibi-Nokhandam, Márius V. Fuentes

  133-136

  01-11-2011

  https://doi.org/10.4081/gh.2011.165

  1699

  PDF: 891
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  Impact of socio-economic environment and its interaction on the initial spread of COVID-19 in mainland China

  Mao Guo, Lin Yang, Feixue Shen, Lei Zhang, Anqi Li, Yanyan Cai, Chenghu Zhou

  18-03-2022

  https://doi.org/10.4081/gh.2022.1060

  1338

  PDF: 523

  HTML: 32

• Spatial scale effects in environmental risk-factor modelling for diseases

  Ram K. Raghavan, Karen M. Brenner, John A. Jr. Harrington, James J. Higgins, Kenneth R. Harkin

  169-182

  01-05-2013

  https://doi.org/10.4081/gh.2013.78

  2181

  PDF: 1431

• Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

  Camilo H. Rotela, Lorena I. Spinsanti, Mario A. Lamfri, Marta S. Contigiani, Walter R. Almiròn, Carlos M. Scavuzzo

  85-94

  01-11-2011

  https://doi.org/10.4081/gh.2011.160

  1390

  PDF: 886

• Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

  Suchithra Naish, Kerrie Mengersen, Shilu Tong

  289-299

  01-11-2013

  https://doi.org/10.4081/gh.2013.74

  1875

  PDF: 1052
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  A geographical information systems-based approach to health facilities and urban traffic system in Belgrade, Serbia

  Aleksandar Valjarević, Dragana Valjarević, Zorica Stanojević-Ristić, Tatjana Djekić, Nebojša Živić

  09-11-2018

  https://doi.org/10.4081/gh.2018.729

  1723

  PDF: 901

  APPENDIX: 806

  HTML: 105
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  Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale

  Yubing Qu, Xun Shi, Yong Wang, Rendong Li, Liang Lu, Qiyong Liu

  09-11-2018

  https://doi.org/10.4081/gh.2018.682

  3375

  PDF: 1628

  HTML: 199

• A geographical information system-based web model of arbovirus transmission risk in the continental United States of America

  Sarah K. Konrad, Li Zou, Scott N. Miller

  157-159

  01-11-2012

  https://doi.org/10.4081/gh.2012.114

  1558

  PDF: 893

  Video: 0
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  Malaria risk map for India based on climate, ecology and geographical modelling

  Soma Sarkar, Poonam Singh, Mercy Aparna L. Lingala, Preeti Verma, Ramesh C. Dhiman

  06-11-2019

  https://doi.org/10.4081/gh.2019.767

  6791

  PDF: 2343

  HTML: 13496
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  COVID-19 vaccine prioritization based on district classification in Yogyakarta Province, Indonesia

  Syifa Hanifa, Diana Puspitasari, Cahyadi Ramadhan, Karina Oriza Herastuti

  14-01-2022

  https://doi.org/10.4081/gh.2022.1010

  2776

  PDF: 737

  HTML: 49
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  Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

  Sade Kılıç Yıldırım, Celal Reha Alpar

  14-11-2025

  https://doi.org/10.4081/gh.2025.1396

  412

  PDF: 210

  HTML: 6
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  Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

  Farah Kristiani, I Gede Nyoman Mindra Jaya, Robyn Irawan, Inanta Maria Priscilia

  02-02-2026

  https://doi.org/10.4081/gh.2026.1461

  526

  PDF: 264

  Supplementary materials: 39

  HTML: 8
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  Diabetes prevalence in the state of Alabama: identifying the risk factors

  Kwaku Karikari Manu, Seth Appiah-Opoku

  31-03-2026

  https://doi.org/10.4081/gh.2026.1465

  299

  PDF: 129

  HTML: 6
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  Spatial comparison of London’s three waves of Spanish flu

  Walter Peterson

  19-10-2023

  https://doi.org/10.4081/gh.2023.1235

  1466

  PDF: 706

  HTML: 588
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  A qualitative geographical information system interpretation of mobility and COVID-19 pandemic intersection in Uttar Pradesh, India

  Alok Tiwari, Mohammed Aljoufie

  11-03-2021

  https://doi.org/10.4081/gh.2021.911

  3051

  PDF: 1061

  HTML: 74
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  Evaluation and planning of Chagas control activities using geospatial tools

  Diego Weinberg, Mario Lanfri, Carlos M. Scavuzzo, Marcelo Abril, Sofía Lanfri

  06-11-2019

  https://doi.org/10.4081/gh.2019.786

  1657

  PDF: 839

  HTML: 40