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  Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

  I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular

  22-03-2022

  https://doi.org/10.4081/gh.2022.1070

  1590

  PDF: 572

  HTML: 41
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  Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan

  Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov

  08-11-2024

  https://doi.org/10.4081/gh.2024.1335

  1672

  PDF: 521

  HTML: 69
• 

  Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

  Carlos Mena, Cesar Sepúlveda, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

  07-05-2018

  https://doi.org/10.4081/gh.2018.587

  5453

  PDF: 2690

  HTML: 806

• Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models

  Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono , Dian Handayani, Nurwan Nurwan, Susanna Cramb

  03-10-2024

  https://doi.org/10.4081/gh.2024.1321

  1950

  PDF: 738

  HTML: 133
• 

  Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

  Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou

  18-04-2016

  https://doi.org/10.4081/gh.2016.469

  2503

  PDF: 1516

  HTML: 928
• 

  Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

  Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel

  29-12-2020

  https://doi.org/10.4081/gh.2020.887

  3051

  PDF: 1134

  HTML: 76
• 

  Fine scale mapping of malaria infection clusters by using routinely collected health facility data in urban Dar es Salaam, Tanzania

  Yeromin P. Mlacha, Prosper P. Chaki, Alpha D. Malishee, Victoria M. Mwakalinga, Nicodem J. Govella, Alex J. Limwagu, John M. Paliga, Daniel F. Msellemu, Zawadi D. Mageni, Dianne J. Terlouw, Gerry F. Killeen, Stefan Dongus

  11-05-2017

  https://doi.org/10.4081/gh.2017.494

  4759

  PDF: 1734

  HTML: 1297
• 

  Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

  Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah

  18-05-2022

  https://doi.org/10.4081/gh.2022.1048

  2262

  PDF: 1495

  HTML: 148
• 

  To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

  Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor

  31-03-2016

  https://doi.org/10.4081/gh.2016.407

  4740

  PDF: 1326

  Appendix: 567

  HTML: 1232
• 

  Local landscape effects on population dynamics of Ixodes ricinus

  Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz

  21-11-2016

  https://doi.org/10.4081/gh.2016.487

  3430

  PDF: 1583

  HTML: 839
• 

  Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

  Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet

  29-12-2020

  https://doi.org/10.4081/gh.2020.857

  1791

  PDF: 815

  HTML: 19
• 

  Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

  Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta

  07-05-2018

  https://doi.org/10.4081/gh.2018.642

  2464

  PDF: 1040

  APPENDIX: 463

  HTML: 126
• 

  A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

  Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto

  18-03-2022

  https://doi.org/10.4081/gh.2022.1067

  1832

  PDF: 620

  HTML: 47
• 

  Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

  Xiao Li, Amanda Staudt, Lung-Chang Chien

  21-11-2016

  https://doi.org/10.4081/gh.2016.439

  2792

  PDF: 1323

  APPENDIX: 484

  HTML: 1155
• 

  Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022

  Augustine Odo Ebonyi, Mary-Jane Ebire Ebonyi, Femi Rufus Tinuola, Isaiah Gwitira

  16-03-2026

  https://doi.org/10.4081/gh.2026.1456

  272

  PDF: 205

  HTML: 12
• 

  Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

  Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil

  06-11-2017

  https://doi.org/10.4081/gh.2017.567

  2977

  PDF: 1137

  HTML: 709
• 

  Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis

  Jiaqi Huang, Yichen Chen, Gu Liu, Wei Tu, Robert Bergquist, Michael P. Ward, Jun Zhang, Shuang Xiao, Jie Hong, Zheng Zhao, Xiaopan Li, Zhijie Zhang

  03-07-2023

  https://doi.org/10.4081/gh.2023.1152

  2366

  PDF: 1170

  Supplementary Materials: 186

  HTML: 28
• 

  Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

  Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge

  29-08-2022

  https://doi.org/10.4081/gh.2022.1084

  2280

  PDF: 594

  Supplementary 1: 152

  Supplementary 2: 354

  HTML: 176
• 

  Spatial and temporal characteristics of cancer in the period from 2004 to 2013 in the Hashemite Kingdom of Jordan

  Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Juhina J. Thnaibat, Omar F. Nimri

  09-11-2018

  https://doi.org/10.4081/gh.2018.695

  1761

  PDF: 915

  HTML: 41

• Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

  Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg

  29-10-2024

  https://doi.org/10.4081/gh.2024.1284

  6514

  PDF: 837

  Supplementary Materials: 274

  HTML: 121
• 

  Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

  Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli

  25-05-2023

  https://doi.org/10.4081/gh.2023.1176

  2971

  PDF: 1264

  Supplementary Materials: 200

  HTML: 121

• Increased cancer mortality in Taiwanese inter-island migrants

  Meng-Kan Chen, Hsiu-Hsi Chen

  251-263

  01-05-2013

  https://doi.org/10.4081/gh.2013.84

  1503

  PDF: 866
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  The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

  Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

  04-06-2025

  https://doi.org/10.4081/gh.2025.1386

  2874

  PDF: 582

  HTML: 73
• 

  Application of geospatial information systems (GIS) for assessment of the distribution of periodontal disease in Makassar City, South Sulawesi Province, Indonesia

  Fuad Husain Akbar, Nur Amaliyah Riyadh

  07-11-2023

  https://doi.org/10.4081/gh.2023.1240

  1717

  PDF: 767

  HTML: 24
• 

  Pleural mesothelioma in Poland: Spatial analysis of malignant mesothelioma prevalence in the period 1999-2013

  MaÅ‚gorzata KròwczyÅ„ska, Ewa Wilk, Piotr Pabjanek, Gabriela OlÄ™dzka

  09-11-2018

  https://doi.org/10.4081/gh.2018.667

  1689

  PDF: 978

  HTML: 103
• 

  Modelling count data with an excess of zero values applied to childhood bone tumour incidence in Iraq

  Muzahem Mohammed Al-Hashimi, Hasmek Antranik Warttan

  12-03-2021

  https://doi.org/10.4081/gh.2021.873

  2159

  PDF: 727

  HTML: 138

• Modelling spatial concordance between Rocky Mountain spotted fever disease incidence and habitat probability of its vector Dermacentor variabilis (American dog tick)

  Samuel F. Atkinson, Sahotra Sarkar, Aldo Aviña, Jim A. Schuermann, Phillip Williamson

  91-100

  01-11-2012

  https://doi.org/10.4081/gh.2012.108

  2088

  PDF: 1341
• 

  Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

  Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim

  08-06-2022

  https://doi.org/10.4081/gh.2022.1095

  1699

  PDF: 985

  HTML: 62
• 

  Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

  Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman

  11-05-2022

  https://doi.org/10.4081/gh.2022.1025

  2034

  PDF: 897

  Annex I-VI: 168

  HTML: 74
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  Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

  Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard

  04-11-2015

  https://doi.org/10.4081/gh.2015.336

  2665

  PDF: 1217

  HTML: 1134
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  Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

  Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

  01-12-2022

  https://doi.org/10.4081/gh.2022.1145

  1786

  PDF: 971

  Appendix: 145

  HTML: 82
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  Spatial-temporal analysis and visualization of scarlet fever in mainland China from 2004 to 2017

  Wei-tong Li, Rui-hua Feng, Tong Li, Yan-bing Du, Nan Zhou, Xiu-qin Hong, Shang-hui Yi, Wen-ting Zha, Yuan Lv

  02-04-2020

  https://doi.org/10.4081/gh.2020.831

  2892

  PDF: 1472

  HTML: 97
• 

  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

  1796

  PDF: 1151

  Appendix: 164

  HTML: 217
• 

  Estimating malaria burden in Nigeria: a geostatistical modelling approach

  Nnadozie Onyiri

  04-11-2015

  https://doi.org/10.4081/gh.2015.306

  7680

  PDF: 3195

  HTML: 3283
• 

  Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

  Jihoon Jung, Yoonjung Ahn, Joseph Bommarito

  18-03-2022

  https://doi.org/10.4081/gh.2022.1064

  1763

  PDF: 470

  Appendix: 327

  HTML: 15
• 

  Spatial analysis and modelling of depression relative to social vulnerability index across the United States

  Kiara M. Rivera, Abolfazl Mollalo

  01-09-2022

  https://doi.org/10.4081/gh.2022.1132

  5093

  PDF: 2206

  HTML: 588
• 

  Validation of a spatial liver fluke model under field conditions in Ireland

  Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl

  07-05-2018

  https://doi.org/10.4081/gh.2018.641

  2412

  PDF: 1076

  HTML: 188
• 

  Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

  Prakash Madhav Nimbalkar, Nitin Kumar Tripathi

  21-11-2016

  https://doi.org/10.4081/gh.2016.447

  2440

  PDF: 1398

  HTML: 1154
• 

  Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt

  Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K. Hassan, Moussa Soliman, Olubunmi G. Fasanmi, Folorunso O. Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M. Jobre

  28-11-2016

  https://doi.org/10.4081/gh.2016.492

  2955

  PDF: 1221

  APPENDIX: 504

  HTML: 1527
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  Spatio-temporal outbreaks of campylobacteriosis and the role of fresh-milk vending machines in the Czech Republic: A methodological study

  Lukáš Marek, Vít Pászto

  08-11-2017

  https://doi.org/10.4081/gh.2017.572

  2839

  PDF: 820

  HTML: 849
• 

  Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring

  Jihong Zhang, Guohua Yin, Qiuhua Zhang, Juan Fang, Duo Jiang, Chao Yang, Na Sun

  28-04-2025

  https://doi.org/10.4081/gh.2025.1286

  1478

  PDF: 440

  HTML: 97
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  Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

  Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco

  26-05-2017

  https://doi.org/10.4081/gh.2017.506

  1861

  PDF: 1000

  HTML: 1066
• 

  Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study

  Agustín Gòmez de la Cámara, Eva de Andrés Esteban, Gerard Urrútia Cuchí, Enrique Calderòn Sandubete, Miguel Ángel Rubio Herrera, Miguel Menéndez Orenga, David Lora Pablos

  07-11-2017

  https://doi.org/10.4081/gh.2017.524

  2214

  PDF: 979

  HTML: 712
• 

  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

  3678

  PDF: 1458

  HTML: 1171

• Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach

  Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira

  33-40

  01-11-2011

  https://doi.org/10.4081/gh.2011.155

  1828

  PDF: 1049
• 

  Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia

  Heni Prasetyowati, Pandji Wibawa Dhewantara, Joni Hendri, Endang Puji Astuti, Yalemzewod Assefa Gelaw, Harapan Harapan, Mara Ipa, Widyastuti Widyastuti, Dwi Oktavia Tatri Lestari Handayani, Ngabila Salama, Mirsal Picasso

  12-03-2021

  https://doi.org/10.4081/gh.2021.948

  3607

  PDF: 1542

  Appendix: 172

  HTML: 94
• 

  Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

  Thandi Kapwata, Michael T. Gebreslasie

  16-11-2016

  https://doi.org/10.4081/gh.2016.434

  4330

  PDF: 1912

  APPENDIX 1: 464

  APPENDIX 2: 492

  HTML: 1650
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  Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

  Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos

  29-11-2022

  https://doi.org/10.4081/gh.2022.1128

  2816

  PDF: 1709

  HTML: 219
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  Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

  Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge

  25-11-2024

  https://doi.org/10.4081/gh.2024.1243

  1577

  PDF: 636

  HTML: 116
• 

  The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

  Yi Huang, Chen Li, Xianjing Lu, Yue Wang

  25-05-2023

  https://doi.org/10.4081/gh.2023.1180

  1022

  PDF: 602

  HTML: 19
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  Spatio-temporal distribution characteristics of cysticercosis from 2000 to 2014 in Dali, Yunnan province, China.

  Huanzhang Li, Xinzhong Zang, Xiaokang Hu, Eniola Michael Abe, Menbao Qian, Jingbo Xue, Yingdan Chen, Changhai Zhou, Yuhua Liu, Shizhu Li

  29-12-2020

  https://doi.org/10.4081/gh.2020.815

  1448

  HTML: 44

  PDF: 648
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  Elimination of malaria due to Plasmodium vivax in central part of the People's Republic of China: analysis and prediction based on modelling

  Zhao Chen, Liang Shi, Xiao-Nong Zhou, Zhi-Gui Xia, Robert Bergquist, Qing-Wu Jiang

  169-177

  01-11-2014

  https://doi.org/10.4081/gh.2014.14

  3754

  PDF: 1236
• 

  First year with COVID-19: Assessment and prospects

  Robert Bergquist, Behzad Kiani, Samuel Manda

  26-11-2020

  https://doi.org/10.4081/gh.2020.953

  3086

  PDF: 799

  HTML: 28

• Analysis of the El Niño/La Niña-Southern Oscillation variability and malaria in the Estado Sucre, Venezuela

  Laura Delgado-Petrocelli, Karenia Còrdova, Alberto Camardiel, Víctor H. Aguilar, Denise Hernández, Santiago Ramos

  S51-S57

  01-09-2012

  https://doi.org/10.4081/gh.2012.122

  2762

  PDF: 1139
• 

  Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad

  Kella Douzouné, Joseph Oloukoi, Ismaila Toko Imorou, Toure Gorgui Ba, Derrick Chefor Ymele Demeveng

  03-02-2025

  https://doi.org/10.4081/gh.2025.1365

  3802

  PDF: 1279

  Supplementary Materials: 617

  HTML: 200

• Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis

  Mathuros Tipayamongkholgul, Sunisa Lisakulruk

  191-198

  01-05-2011

  https://doi.org/10.4081/gh.2011.171

  4298

  PDF: 1722
• 

  Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy

  Dimitrios Ntokos

  14-04-2026

  https://doi.org/10.4081/gh.2026.1453

  536

  PDF: 210

  Supplementary materials: 30

  HTML: 8

• Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

  Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie

  28-05-2024

  https://doi.org/10.4081/gh.2024.1255

  2799

  PDF: 797

  HTML: 101
• 

  The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

  Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

  08-05-2018

  https://doi.org/10.4081/gh.2018.623

  3144

  PDF: 1495

  HTML: 574
• 

  Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogs

  Yan Liu, Shila K. Nordone, Michael J. Yabsley, Robert B. Lund, Christopher S. McMahan, Jenna R. Gettings

  14-05-2019

  https://doi.org/10.4081/gh.2019.750

  7136

  PDF: 2326

  APPENDIX: 379

  HTML: 359
• 

  Modelling recent and future climatic suitability for fasciolosis in Europe

  Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams

  301-308

  19-03-2015

  https://doi.org/10.4081/gh.2015.352

  4847

  PDF: 1790
• 

  Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil

  Amanda Gabriela de Carvalho, João Gabriel Guimarães Luz, João Victor Leite Dias, Anuj Tiwari, Peter Steinmann, Eliane Ignotti

  29-12-2020

  https://doi.org/10.4081/gh.2020.892

  2174

  PDF: 1044

  HTML: 51
• 

  Impact of climate change on dengue fever: a bibliometric analysis

  Mai Liu, Yin Zhang

  19-02-2025

  https://doi.org/10.4081/gh.2025.1301

  2786

  PDF: 933

  Supplementary Materials: 373

  HTML: 134
• 

  Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran

  Ebrahim Babaee, Gholamreza Roshandel, Meysam Olfatifar, Arash Tehrani-Banihashemi; Arezou Ashaari; Marzieh Nojomi

  11-05-2021

  https://doi.org/10.4081/gh.2021.904

  2548

  PDF: 1360

  HTML: 177
• 

  Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

  Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.393

  4635

  PDF: 1925

  HTML: 2560
• 

  Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme

  Manuel O. Espinosa, Francisco Polop, Camilo H. Rotela, Marcelo Abril, Carlos M. Scavuzzo

  21-11-2016

  https://doi.org/10.4081/gh.2016.471

  4207

  PDF: 1620

  APPENDIX: 565

  HTML: 1542
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  Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network

  Mehrdad Ahangarcani, Mahdi Farnaghi, Mohammad Reza Shirzadi, Petter Pilesjö, Ali Mansourian

  14-05-2019

  https://doi.org/10.4081/gh.2019.711

  2918

  PDF: 1380

  APPENDIX: 392

  HTML: 236
• 

  Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

  Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu

  25-05-2023

  https://doi.org/10.4081/gh.2023.1200

  1673

  PDF: 772

  HTML: 76
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  Mapping routine malaria incidence at village level for targeted control in Papua New Guinea

  Daniela Rodríguez-Rodríguez, Seri Maraga, Sharon Jamea-Maiasa, Anthony Tandrapah, Leo Makita, Peter M. Siba, Ivo Mueller, Justin Pulford, Manuel Hetzel

  07-11-2019

  https://doi.org/10.4081/gh.2019.798

  1712

  VIDEO: 0

  PDF: 783

  HTML: 50
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  Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

  Lung-Chang Chien, Xiao Li, Amanda Staudt

  03-11-2017

  https://doi.org/10.4081/gh.2017.528

  2948

  PDF: 1002

  HTML: 800
• 

  Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

  Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

  11-05-2017

  https://doi.org/10.4081/gh.2017.523

  2932

  PDF: 1292

  HTML: 892
• 

  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

  5788

  PDF: 1093

  Appendix: 444

  HTML: 55
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  Mapping healthcare resources and regional mortality in Europe: a spatial study of current service coverage

  Alicja Olejnik, Agata Żółtaszek

  04-12-2025

  https://doi.org/10.4081/gh.2025.1425

  374

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  Supplementary materials: 32

  HTML: 26
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  https://doi.org/10.4081/gh.2022.1123

  1204

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  Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

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  3866

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  Factors associated with the spatial distribution of leprosy: a systematic review of the published literature

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  https://doi.org/10.4081/gh.2025.1394

  982

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  Supplementary materials: 82

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  Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

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  https://doi.org/10.4081/gh.2022.1033

  1854

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  Appendix: 174

  HTML: 41
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  COVID-19, air quality and space monitoring

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  06-04-2022

  https://doi.org/10.4081/gh.2022.1052

  1974

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  From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

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  26-10-2023

  https://doi.org/10.4081/gh.2023.1247

  2093

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  Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina

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  3471

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  4614

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• Spatial associations between chronic kidney disease and socio-economic factors in Thailand

  Juree Sansuk, Kittipong Sornlorm

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  https://doi.org/10.4081/gh.2024.1246

  6488

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  Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

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  20-07-2023

  https://doi.org/10.4081/gh.2023.1213

  1475

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  Health, environmental change and adaptive capacity; mapping, examining and anticipating future risks of water-related vector-borne diseases in eastern Africa

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  3633

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  Huling Li, Hui Li, Zhongxing Ding, Zhibin Hu, Feng Chen, Kai Wang, Zhihang Peng, Hongbing Shen

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  7136

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• Spatial-temporal risk factors in the occurrence of rabies in Mexico

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  https://doi.org/10.4081/gh.2024.1245

  4722

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• Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state

  Laura Delgado-Petrocelli, Alberto Camardiel, Víctor Hugo Aguilar, Néstor Martinez, Karenia Còrdova, Santiago Ramos

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  2560

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  3989

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• Spatial analyses of typhoid fever in Jiangsu province, People's Republic of China

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  2976

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  Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

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  02-09-2025

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  918

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• Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study

  Hassan M. Khormi, Lalit Kumar, Ramze A. Elzahrany

  77-84

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  3009

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  Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

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  7320

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• Importance of individual analysis of environmental and climatic factors affecting the density of Leishmania vectors living in the same geographical area: the example of Phlebotomus ariasi and P. perniciosus in northeast Spain

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  3125

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• Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

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  37-50

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  https://doi.org/10.4081/gh.2012.103

  1793

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• GeoMedStat: an integrated spatial surveillance system to track air pollution and associated healthcare events

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  3560

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• A geographical information system-based analysis of cancer mortality and population exposure to coal mining activities in West Virginia, United States of America

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  243-256

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  4008

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• Geospatial epidemiology of coronary artery disease treated with percutaneous coronary intervention in Crete, Greece

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  2524

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  Access to the COVID-19 services during the pandemic - a scoping review

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  2516

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  Appendix: 321

  HTML: 118
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  Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

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  3895

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  MALAREO: a user-driven project

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