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  Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand

  Suparat Tappo, Wongsa Laohasiriwong, Nattapong Puttanapong

  29-11-2022

  https://doi.org/10.4081/gh.2022.1091

  1713

  PDF: 1119

  Appendix: 149

  HTML: 209
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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

  1775

  PDF: 891

  HTML: 116
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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

  2056

  PDF: 886

  Supplementary Materials: 152

  HTML: 59
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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

  1962

  PDF: 850

  HTML: 50
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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

  2566

  PDF: 1285

  HTML: 176
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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

  3624

  PDF: 1430

  HTML: 1169
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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

  5723

  PDF: 1070

  Appendix: 428

  HTML: 53
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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

  3362

  PDF: 1622

  HTML: 196

• Study of the snail intermediate hosts for Schistosoma mansoni on Itamaracá Island in northeast Brazil: spatial displacement of Biomphalaria glabrata by Biomphalaria straminea

  Constança S. Barbosa, Verônica S. Barbosa, Wheverton C. Nascimento, Otavio S. Pieri, Karina C. G. M. Araújo

  345-351

  01-05-2014

  https://doi.org/10.4081/gh.2014.24

  2328

  PDF: 1221

• Spatial distribution and autocorrelation of infant mortality for three cities in Paraná state, Brazil

  Rosana Rosseto de Oliveira, Josane Rosenilda da Costa, Thais Aidar de Freitas Mathias

  257-262

  01-05-2012

  https://doi.org/10.4081/gh.2012.143

  1275

  PDF: 849

• Spatial risk profiling of Schistosoma japonicum in Eryuan county, Yunnan province, China

  Peter Steinmann, Xiao-Nong Zhou, Barbara Matthys, Yuan-Lin Li, Hong-Jun Li, Shao-Rong Chen, Zhong Yang, Weng Fan, Tie-Wu Jia, Lan-Hua Li, Penelope Vounatsou, Jürg Utzinger

  59-73

  01-11-2007

  https://doi.org/10.4081/gh.2007.255

  2730

  PDF: 928

• The use of spatial tools in the study of Schistosoma mansoni and its intermediate host snails in Brazil: a brief review

  Andrea Gazzinelli, Helmut Kloos

  51-58

  01-11-2007

  https://doi.org/10.4081/gh.2007.254

  2114

  PDF: 984

• 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

  2150

  PDF: 1416
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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

  1717

  PDF: 895

  APPENDIX: 800

  HTML: 103
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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

  2755

  PDF: 726

  HTML: 47
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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

  1451

  PDF: 701

  HTML: 580

• Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

  Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari

  03-09-2024

  https://doi.org/10.4081/gh.2024.1318

  1763

  PDF: 826

  HTML: 111
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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

  394

  PDF: 198

  HTML: 6
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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

  1643

  PDF: 832

  HTML: 40