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  Spatiotemporal epidemiology of COVID-19 from an epidemic course perspective

  Yuling Huang, Shujuan Yang, Yuxuan Zou, Jianming Su, Canglang Wu, Bo Zhong, Peng Jia

  10-02-2022

  https://doi.org/10.4081/gh.2022.1023

  3361

  PDF: 620

  HTML: 33

• Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

  Emily Phaboutdy, Michael Ward

  04-07-2024

  https://doi.org/10.4081/gh.2024.1282

  2215

  PDF: 727

  HTML: 26
• 

  The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

  Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui

  31-05-2016

  https://doi.org/10.4081/gh.2016.414

  4182

  PDF: 1824

  HTML: 2259
• 

  Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

  Sarsenbay K. Abdrakhmanov, Kanatzhan K. Beisembayev, Fedor I. Кorennoy, Gulzhan N. Yessembekova, Dosym B. Кushubaev, Ablaikhan S. Кadyrov

  31-05-2016

  https://doi.org/10.4081/gh.2016.455

  2439

  PDF: 1262

  HTML: 1291
• 

  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

  1579

  PDF: 736

  HTML: 71
• 

  The contrary Russian flu: London 1890-1892

  Walter Peterson

  17-02-2026

  https://doi.org/10.4081/gh.2026.1428

  313

  PDF: 170

  HTML: 5
• 

  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

  3701

  PDF: 1251

  Supplementary Materials: 607

  HTML: 195
• 

  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

  1741

  PDF: 957

  Appendix: 137

  HTML: 78
• 

  Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

  Rutendo Birri Makota, Eustasius Musenge

  27-11-2023

  https://doi.org/10.4081/gh.2023.1207

  1575

  PDF: 798

  HTML: 76
• 

  Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

  Xiaodi Su, Chunxia Qiu, Chunhui Liu

  03-12-2024

  https://doi.org/10.4081/gh.2024.1323

  1319

  PDF: 438

  HTML: 20
• 

  Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

  Sarsenbay K. Abdrakhmanov, Yersyn Y. Mukhanbetkaliyev, Fedor I. Korennoy, Bolat Sh. Karatayev, Aizada A. Mukhanbetkaliyeva, Aruzhan S. Abdrakhmanova

  13-11-2017

  https://doi.org/10.4081/gh.2017.589

  3770

  PDF: 1353

  HTML: 931
• 

  Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

  Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Sheheen A. Abdulkareem, Raul Zurita Milla

  11-02-2025

  https://doi.org/10.4081/gh.2025.1326

  2381

  PDF: 617

  Supplementary Materials: 390

  HTML: 218
• 

  Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

  Géssyca Cavalcante de Melo, Emilia Carolle Azevedo de Oliveira, Iane Brito Leal, Carolina Piedade Morais de Freitas Soares Silva, Roberta Andrade Beltrão, Allan Dantas dos Santos, Renata Karina Reis, Marco Antônio Prado Nunes, Karina Conceição Gomes Machado de Araujo

  26-11-2020

  https://doi.org/10.4081/gh.2020.863

  3225

  PDF: 1147

  HTML: 36
• 

  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

  4645

  PDF: 1314

  Appendix: 548

  HTML: 1226

• Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

  Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein

  26-11-2024

  https://doi.org/10.4081/gh.2024.1265

  901

  PDF: 289

  Supplementary Materials: 134

  HTML: 26
• 

  Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

  Jishuo Zhang, Meifang Li

  29-11-2022

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

  1144

  PDF: 890

  HTML: 74
• 

  The impact of geographic mobility on the spread of COVID-19 in Hong Kong

  Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai

  14-02-2022

  https://doi.org/10.4081/gh.2022.1022

  3279

  PDF: 585

  HTML: 143

• Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

  Weerapong Thanapongtharm, Thomas P. Van Boeckel, Chandrashekhar Biradar, Xiangming Xiao, Marius Gilbert

  193-201

  01-11-2013

  https://doi.org/10.4081/gh.2013.66

  1908

  PDF: 1178
• 

  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

  1963

  PDF: 851

  HTML: 50
• 

  The effects of population mobility on Chinese HIV epidemics in spill-over and influx risks perspectives: a spatial epidemiology analysis

  Yazhen Zhang, Hui Jin

  08-09-2025

  https://doi.org/10.4081/gh.2025.1384

  785

  PDF: 395

  Supplementary materials: 70

  HTML: 25
• 

  Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

  Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto

  15-06-2022

  https://doi.org/10.4081/gh.2022.1069

  1246

  PDF: 572

  HTML: 53
• 

  Reducing bias in risk indices for COVID-19

  Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek

  14-01-2022

  https://doi.org/10.4081/gh.2022.1013

  3046

  PDF: 523

  Appendix: 432

  HTML: 37
• 

  Modelling homogeneous regions of social vulnerability to malaria in Rwanda

  Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye

  31-03-2016

  https://doi.org/10.4081/gh.2016.404

  3820

  PDF: 1863

  HTML: 2249
• 

  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

  2227

  PDF: 573

  Supplementary 1: 143

  Supplementary 2: 336

  HTML: 165
• 

  Spread of Ebola virus disease based on the density of roads in West Africa

  Diana Gomez-Barroso, Emilia Velasco, Carmen Varela, Inmaculada Leon, Rosa Cano

  03-11-2017

  https://doi.org/10.4081/gh.2017.552

  2530

  PDF: 805

  APPENDIX: 540

  HTML: 1237

• Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

  Zhang Zeng, Huomei Xiong

  09-10-2024

  https://doi.org/10.4081/gh.2024.1294

  1007

  PDF: 448

  HTML: 92
• 

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

  Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla

  06-11-2017

  https://doi.org/10.4081/gh.2017.564

  3441

  PDF: 1352

  HTML: 861
• 

  Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France

  Laurent Bailly, Rania Belgaied, Thomas Jobert, Benjamin Montmartin

  15-09-2025

  https://doi.org/10.4081/gh.2025.1383

  765

  PDF: 316

  Supplementary materials: 72

  HTML: 19
• 

  Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

  Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang

  25-05-2023

  https://doi.org/10.4081/gh.2023.1169

  1161

  PDF: 844

  HTML: 32

• 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

  6441

  PDF: 811

  Supplementary Materials: 259

  HTML: 118

• Dynamic location model for designated COVID-19 hospitals in China

  Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan

  29-10-2024

  https://doi.org/10.4081/gh.2024.1310

  1127

  PDF: 384

  Supplementary Materials: 270

  HTML: 72
• 

  Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

  Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang

  29-12-2020

  https://doi.org/10.4081/gh.2020.849

  1967

  PDF: 901

  HTML: 30
• 

  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

  2276

  PDF: 690

  HTML: 90
• 

  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

  2727

  PDF: 909

  Supplementary Materials: 364

  HTML: 127
• 

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

  Amare Sewnet Minale, Kalkidan Alemu

  07-05-2018

  https://doi.org/10.4081/gh.2018.660

  7237

  PDF: 2513

  HTML: 1226
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  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

  4573

  PDF: 1899

  HTML: 2556
• 

  Spatial comparison of London’s three waves of Spanish flu

  Walter Peterson

  19-10-2023

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

  1452

  PDF: 701

  HTML: 580

• Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

  Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov

  31-07-2024

  https://doi.org/10.4081/gh.2024.1290

  1721

  PDF: 727

  HTML: 115
• 

  The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

  Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu

  29-11-2022

  https://doi.org/10.4081/gh.2022.1130

  922

  PDF: 817

  HTML: 25

• Transmissibility of the highly pathogenic avian influenza virus, subtype H5N1 in domestic poultry: a spatio-temporal estimation at the global scale

  Zhijie Zhang, Dongmei Chen, Michael P. Ward, Qingwu Jiang

  135-143

  01-11-2012

  https://doi.org/10.4081/gh.2012.112

  1653

  PDF: 978
• 

  Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

  Ei Sandar U, Wongsa Laohasiriwong, Kittipong Sornlorm

  25-05-2023

  https://doi.org/10.4081/gh.2023.1183

  1678

  PDF: 904

  Supplementary Materials: 140

  HTML: 68
• 

  Balancing geo-privacy and spatial patterns in epidemiological studies

  Chien-Chou Chen, Jen-Hsiang Chuang, Da-Wei Wang, Chien-Min Wang, Bo-Cheng Lin, Ta-Chien Chan

  08-11-2017

  https://doi.org/10.4081/gh.2017.573

  4043

  PDF: 1273

  APPENDIX: 542

  HTML: 955
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  Spatial variability of mother-to-child human immunodeficiency virus transmission in a province in the Brazilian Rainforest: An ecological study

  Marcus Matheus Quadros Santos, Bianca Alessandra Gomes do Carmo, Taymara Barbosa Rodrigues, Bruna Rafaela Leite Dias, Cleyton Abreu Martins, Glenda Roberta Oliveira Naiff Ferreira, Andressa Tavares Parente, Cíntia Yollete Urbano Pauxis Aben-Atha, Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

  29-11-2022

  https://doi.org/10.4081/gh.2022.1101

  1074

  PDF: 922

  HTML: 24
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  A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

  Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass

  08-11-2017

  https://doi.org/10.4081/gh.2017.588

  3160

  PDF: 1351

  HTML: 1025
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  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

  2385

  PDF: 1367

  HTML: 1146
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  Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022

  Sarayu Muntaphan, Kittipong Sornlorm

  13-05-2025

  https://doi.org/10.4081/gh.2025.1368

  1494

  PDF: 346

  HTML: 68
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  A review of spatial technologies with applications for malaria transmission modelling and control in Africa

  Michael T. Gebreslasie

  26-11-2015

  https://doi.org/10.4081/gh.2015.328

  6339

  PDF: 2615

  HTML: 3128
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  Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

  Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen

  10-12-2020

  https://doi.org/10.4081/gh.2020.913

  3891

  PDF: 1486

  HTML: 186
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  A dynamic, climate-driven model of Rift Valley fever

  Joseph Leedale, Anne E. Jones, Cyril Caminade, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.394

  4776

  PDF: 2054

  Appendix: 573

  HTML: 1591
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  Spatial and temporal dynamic analysis of rabies: A review of current methodologies

  Shuaicheng Chen

  30-11-2022

  https://doi.org/10.4081/gh.2022.1139

  2807

  PDF: 1902

  HTML: 394
• 

  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

  1436

  PDF: 411

  HTML: 85
• 

  Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

  Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima

  14-01-2022

  https://doi.org/10.4081/gh.2022.1000

  2695

  PDF: 553

  HTML: 54
• 

  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

  1593

  PDF: 488

  HTML: 64
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  Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

  Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto

  16-11-2016

  https://doi.org/10.4081/gh.2016.443

  4156

  PDF: 1940

  HTML: 1394

• A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control

  Wang Fei, Lv Jiamin, Wang Chunting, Li Yuling, Xi Yuetuing

  26-09-2024

  https://doi.org/10.4081/gh.2024.1281

  1240

  PDF: 487

  HTML: 77
• 

  Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

  Yaqi Wang, Zhiwei Wan

  17-05-2022

  https://doi.org/10.4081/gh.2022.1078

  1823

  PDF: 975

  HTML: 165
• 

  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

  1631

  PDF: 571

  HTML: 48
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  A spatiotemporal analysis of the social determinants of health for COVID-19

  Claire Bonzani, Peter Scull, Daisaku Yamamoto

  25-05-2023

  https://doi.org/10.4081/gh.2023.1153

  2065

  PDF: 930

  HTML: 32
• 

  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

  2758

  PDF: 731

  HTML: 47
• 

  Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

  Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

  29-11-2022

  https://doi.org/10.4081/gh.2022.1102

  1093

  PDF: 890

  HTML: 18
• 

  American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

  Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, Afrânio Lima Carvalho

  18-05-2015

  https://doi.org/10.4081/gh.2015.314

  3015

  PDF: 1511

  HTML: 818

• Global Mpox spread due to increased air travel

  Huijie Qiao, Paanwaris Paansri, Luis E. Escobar

  11-06-2024

  https://doi.org/10.4081/gh.2024.1261

  2403

  PDF: 803

  HTML: 256
• 

  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

  4689

  PDF: 1700

  HTML: 1296
• 

  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

  1783

  PDF: 597

  HTML: 42
• 

  Urban gentrification and infectious diseases: an interdisciplinary narrative review

  Behzad Kiani, Gabriel Parker, Senobar Naderian, Colleen L. Lau, Benn Sartorius

  07-07-2025

  https://doi.org/10.4081/gh.2025.1388

  1324

  PDF: 557

  HTML: 87
• 

  A concise, straightforward presentation can be worth more than a thousand words

  Robert Bergquist

  03-11-2017

  https://doi.org/10.4081/gh.2017.637

  2619

  PDF: 792

  HTML: 664
• 

  Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina, Brazil, from 2000 to 2016

  Ana Elisa Pereira Silva, Francisco Chiaravalloti Neto, Gleice Margarete de Souza Conceição

  26-11-2020

  https://doi.org/10.4081/gh.2020.903

  2833

  PDF: 1145

  HTML: 62
• 

  Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

  Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi

  17-07-2025

  https://doi.org/10.4081/gh.2025.1390

  991

  PDF: 504

  Supplementary Materials: 100

  HTML: 101
• 

  Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

  Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi

  08-06-2022

  https://doi.org/10.4081/gh.2022.1065

  1095

  PDF: 565

  HTML: 39
• 

  The food environment and adult obesity in US metropolitan areas

  Akihiko Michimi, Michael C. Wimberly

  26-11-2015

  https://doi.org/10.4081/gh.2015.368

  6219

  PDF: 2847

  HTML: 1225
• 

  Evaluation of emergency medical service application from a geographical location perspective in Turkey

  Özgür Elmas, Rahmi Nurhan Çelik

  29-09-2025

  https://doi.org/10.4081/gh.2025.1408

  2468

  PDF: 452

  HTML: 47
• 

  Spatial comparison of herald and main waves in London's nineteenth-century cholera epidemics

  Walter Peterson

  19-10-2021

  https://doi.org/10.4081/gh.2021.983

  2142

  PDF: 856

  HTML: 50
• 

  Spatio-temporal analysis of fox rabies cases in Germany 2005-2006

  Matthias Eckardt, Conrad Freuling, Thomas Müller, Thomas Selhorst

  03-06-2015

  https://doi.org/10.4081/gh.2015.313

  2862

  PDF: 1252

  HTML: 1212
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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

  2571

  PDF: 1285

  HTML: 176

• Satellite imaging and vector-borne diseases: the approach of the French National Space Agency (CNES)

  Fabienne Marechal, Nathalie Ribeiro, Murielle Lafaye, Antonio Güell

  1-5

  01-11-2008

  https://doi.org/10.4081/gh.2008.226

  2480

  PDF: 1233
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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

  2058

  PDF: 886

  Supplementary Materials: 152

  HTML: 59
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  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

  4234

  PDF: 1870

  APPENDIX 1: 455

  APPENDIX 2: 477

  HTML: 1647

• Smooth incidence maps give valuable insight into Q fever outbreaks in The Netherlands

  Wim van der Hoek, Jan van de Kassteele, Ben Bom, Arnout de Bruin, Frederika Dijkstra, Barbara Schimmer, Piet Vellema, Ronald ter Schegget, Peter M. Schneeberger

  127-134

  01-11-2012

  https://doi.org/10.4081/gh.2012.111

  2656

  PDF: 1272
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  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

  2181

  PDF: 1471

  HTML: 144
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  Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

  Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

  18-04-2016

  https://doi.org/10.4081/gh.2016.415

  3673

  PDF: 1880

  HTML: 2248

• Rapid GIS-based profiling of West Nile virus transmission: defining environmental factors associated with an urbansuburban outbreak in Northeast Ohio, USA

  A. Desiree LaBeaud, Ann-Marie Gorman, Joe Koonce, Christopher Kippes, John McLeod, Joe Lynch, Timothy Gallagher, Charles H. King, Anna M. Mandalakas

  215-225

  01-05-2008

  https://doi.org/10.4081/gh.2008.245

  2372

  PDF: 961
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  Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

  Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian

  25-05-2023

  https://doi.org/10.4081/gh.2023.1184

  3151

  PDF: 1655

  HTML: 190
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  Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

  Guiming Wang

  04-11-2015

  https://doi.org/10.4081/gh.2015.357

  2146

  PDF: 1374

  HTML: 954

• Geospatial Health: achievements, innovations, priorities

  Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla

  25-10-2024

  https://doi.org/10.4081/gh.2024.1355

  1907

  PDF: 718

  HTML: 98

• 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

  1381

  PDF: 882
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  Climate impact on malaria in northern Burkina Faso

  Yves M. Tourre, Cécile Vignolles, Christian Viel, Flore Mounier

  27-11-2017

  https://doi.org/10.4081/gh.2017.600

  2786

  PDF: 933

  HTML: 745
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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

  David Taylor, Stefan Kienberger, Jack B. Malone, Adrian M. Tompkins

  18-02-2016

  https://doi.org/10.4081/gh.2016.464

  3590

  PDF: 1641

  HTML: 1116
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  Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

  I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy

  25-05-2023

  https://doi.org/10.4081/gh.2023.1161

  1406

  PDF: 581

  HTML: 17
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  Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

  Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho

  26-11-2020

  https://doi.org/10.4081/gh.2020.925

  3931

  PDF: 1333

  HTML: 27

• Application of spatio-temporal scan statistics for the detection of areas with increased risk for American visceral leishmaniasis in the state of Bahia, Brazil

  Deborah D.M.T. Carneiro, Maria E. Bavia, Washington J.S.F. Rocha, Antônio C.Q. Tavares, Luciana L. Cardim, Biruk Alemayehu

  113-126

  01-11-2007

  https://doi.org/10.4081/gh.2007.260

  1524

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  Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

  Wish Shao, Abolfazl Mollalo, Navid Hashemi Tonekaboni

  23-06-2025

  https://doi.org/10.4081/gh.2025.1363

  734

  PDF: 399

  HTML: 29

• Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child mortality in the Agincourt rural sub-district, South Africa, 1992-2007

  Benn Sartorius, Kathleen Kahn, Mark A. Collinson, Penelope Vounatsou, Stephen M. Tollman

  285-295

  01-05-2011

  https://doi.org/10.4081/gh.2011.181

  2347

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  Assessment of the supply/demand balance of medical resources in Beijing from the perspective of hierarchical diagnosis and treatment

  Yuehan Jiang, Xinyu Cai, Yanhui Wang, Junwu Dong, Mengqin Yang

  13-10-2023

  https://doi.org/10.4081/gh.2023.1228

  1759

  PDF: 1202

  HTML: 195
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  Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

  Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei

  24-03-2025

  https://doi.org/10.4081/gh.2025.1362

  1835

  PDF: 418

  HTML: 101
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  Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil

  Marcos César Ferreira

  26-11-2020

  https://doi.org/10.4081/gh.2020.921

  7465

  PDF: 1469

  Appendix: 177

  HTML: 31

• Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system

  Jia-Cheng Zhang, Wen-Dong Liu, Qi Liang, Jian-Li Hu, Jessie Norris, Ying Wu, Chang-Jun Bao, Fen-Yang Tang, Peng Huang, Yang Zhao, Rong-Bin Yu, Ming-Hao Zhou, Hong-Bing Shen, Feng Chen, Zhi-Hang Peng

  429-435

  01-05-2014

  https://doi.org/10.4081/gh.2014.31

  3282

  PDF: 1382

• Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems

  Vincent Martin, Lorenzo De Simone, Juan Lubroth, Pietro Ceccato, Véronique Chevalier

  3-14

  01-11-2007

  https://doi.org/10.4081/gh.2007.250

  1896

  PDF: 1055
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  Understanding the relationship between land use and land cover and malaria in Nepal

  Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao

  29-12-2020

  https://doi.org/10.4081/gh.2020.855

  2187

  PDF: 917

  HTML: 36
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  Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

  Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel

  31-05-2016

  https://doi.org/10.4081/gh.2016.405

  3339

  PDF: 1095

  HTML: 1460

• Geographical information systems in the management of the 2009-2010 emergency oral anti-rabies vaccination of foxes in north-eastern Italy

  Paolo Mulatti, Nicola Ferrè, Tommaso Patregnani, Lebana Bonfanti, Stefano Marangon

  217-226

  01-05-2011

  https://doi.org/10.4081/gh.2011.174

  2062

  PDF: 1010