Search

Search Results

• 

  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

  3823

  PDF: 1500

  APPENDIX 1: 413

  APPENDIX 2: 401

  HTML: 1638
• 

  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

  2207

  PDF: 1188

  HTML: 136
• 

  Dynamic effect of economic growth on the persistence of suicide rates

  Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng

  25-05-2023

  https://doi.org/10.4081/gh.2023.1201

  676

  PDF: 431

  HTML: 15
• 

  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

  3091

  PDF: 962

  HTML: 1457
• 

  Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

  Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger

  30-11-2015

  https://doi.org/10.4081/gh.2015.398

  4127

  PDF: 1106

  HTML: 1196
• 

  Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

  Kabeya Clement Mulamba

  12-05-2025

  https://doi.org/10.4081/gh.2025.1340

  664

  PDF: 140

  HTML: 46
• 

  Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

  Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

  26-03-2025

  https://doi.org/10.4081/gh.2025.1319

  1579

  PDF: 301

  HTML: 72
• 

  Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

  André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral

  04-11-2015

  https://doi.org/10.4081/gh.2015.365

  3028

  PDF: 1279

  HTML: 1218
• 

  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

  1397

  PDF: 811

  Appendix: 82

  HTML: 68
• 

  Geographically weighted regression for modelling the accessibility to the public hospital network in Concepción Metropolitan Area, Chile

  Marcela Martínez Bascuñán, Carolina Rojas Quezada

  22-11-2016

  https://doi.org/10.4081/gh.2016.451

  3551

  PDF: 1571

  HTML: 2152
• 

  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

  1343

  PDF: 751

  HTML: 44
• 

  Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

  Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

  29-11-2016

  https://doi.org/10.4081/gh.2016.453

  3705

  PDF: 1268

  HTML: 1132
• 

  Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

  Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

  04-06-2025

  https://doi.org/10.4081/gh.2025.1292

  502

  PDF: 168

  HTML: 2
• 

  Spatial association of public sports facilities with body mass index in Korea

  Eun Jin Han, Kiyeon Kang, So Young Sohn

  07-05-2018

  https://doi.org/10.4081/gh.2018.542

  2167

  PDF: 907

  HTML: 87
• 

  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

  3356

  PDF: 1625

  HTML: 2222
• 

  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

  1205

  PDF: 378

  HTML: 41
• 

  Associating socio-economic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa

  Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael

  20-11-2024

  https://doi.org/10.4081/gh.2024.1288

  1221

  PDF: 373

  HTML: 57
• 

  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

  2815

  PDF: 1571

  HTML: 1366
• 

  Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

  Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa

  04-11-2015

  https://doi.org/10.4081/gh.2015.326

  4021

  PDF: 2108

  HTML: 2152
• 

  Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

  Sang Min Lee, Dong Woo Huh, Young Gyu Kwon

  11-03-2025

  https://doi.org/10.4081/gh.2025.1295

  1600

  PDF: 347

  Supplementary materials: 128

  HTML: 87
• 

  Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

  Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard

  08-05-2017

  https://doi.org/10.4081/gh.2017.505

  3085

  PDF: 1357

  HTML: 1025

• Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight

  Micaela Natalia Campero, Carlos Matías Scavuzzo, Carlos Marcelo Scavuzzo, María Dolores Román

  07-05-2024

  https://doi.org/10.4081/gh.2024.1249

  798

  PDF: 433

  Supplementary Materials: 75

  HTML: 56
• 

  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

  1690

  PDF: 728

  HTML: 25
• 

  Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

  David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett

  31-05-2016

  https://doi.org/10.4081/gh.2016.377

  2954

  PDF: 1266

  HTML: 1423
• 

  Spatial heterogeneity of quality, use and spending on medicare for the elderly

  Felipa de Mello-Sampayo

  07-05-2018

  https://doi.org/10.4081/gh.2018.655

  1887

  PDF: 738

  HTML: 106
• 

  Spatial association and modelling of under-5 mortality in Thailand, 2020

  Suparerk Suerungruang, Kittipong Sornlorm, Wongsa Laohasiriwong, Roshan Kumar Mahato

  31-08-2023

  https://doi.org/10.4081/gh.2023.1220

  1212

  PDF: 683

  HTML: 36
• 

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

  Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

  06-05-2022

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

  1486

  PDF: 685

  Appendix: 101

  HTML: 30
• 

  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

  3578

  PDF: 1750

  HTML: 435
• 

  Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

  Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin

  30-11-2022

  https://doi.org/10.4081/gh.2022.1118

  1819

  PDF: 824

  HTML: 56

• Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

  Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné

  28-08-2024

  https://doi.org/10.4081/gh.2024.1285

  1193

  PDF: 491

  HTML: 91
• 

  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

  1783

  PDF: 795

  HTML: 29
• 

  Development of the first georeferenced map of Rhipicephalus (Boophilus) spp. in Mexico from 1970 to date and prediction of its spatial distribution

  Yazmin Alcala-Canto, Juan Antonio Figueroa-Castillo, Froylán Ibarra-Velarde, Yolanda Vera-Montenegro, María Eugenia Cervantes-Valencia, Abdelfattah Z.M. Salem, Jorge Alfredo Cuéllar-Ordaz

  07-05-2018

  https://doi.org/10.4081/gh.2018.624

  4173

  PDF: 1049

  HTML: 253
• 

  Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

  Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya

  31-03-2016

  https://doi.org/10.4081/gh.2016.379

  5924

  PDF: 2090

  Appendix: 546

  HTML: 3239

  Appendix: 196
• 

  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

  1498

  PDF: 719

  HTML: 18

• 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

  685

  PDF: 266

  HTML: 73
• 

  Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

  Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh

  31-03-2016

  https://doi.org/10.4081/gh.2016.406

  3780

  PDF: 1298

  HTML: 1054
• 

  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

  1146

  PDF: 638

  Supplementary Materials: 87

  HTML: 22
• 

  Spatial association between socio-economic health service factors and sepsis mortality in Thailand

  Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm

  13-09-2023

  https://doi.org/10.4081/gh.2023.1215

  1304

  PDF: 482

  HTML: 30
• 

  Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

  Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca

  31-05-2016

  https://doi.org/10.4081/gh.2016.421

  2727

  PDF: 1249

  HTML: 1673
• 

  Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

  Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña

  21-11-2016

  https://doi.org/10.4081/gh.2016.452

  1962

  PDF: 995

  HTML: 1118
• 

  Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

  Sun-Bi Um, Jung-Sup Um

  04-11-2015

  https://doi.org/10.4081/gh.2015.382

  2942

  PDF: 1205

  HTML: 1016

• Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

  Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi

  28-05-2024

  https://doi.org/10.4081/gh.2024.1279

  2310

  PDF: 491

  HTML: 76
• 

  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

  3659

  PDF: 1263

  APPENDIX: 476

  HTML: 1533
• 

  Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020

  Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez

  27-01-2025

  https://doi.org/10.4081/gh.2025.1348

  3627

  PDF: 1317

  HTML: 248

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

  Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo

  30-01-2024

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

  3785

  PDF: 1023

  HTML: 754
• 

  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

  3564

  PDF: 1131

  HTML: 19
• 

  Air quality classification and its temporal trend in Tehran, Iran, 2002-2012

  Raheleh Saniei, Ali Zangiabadi, Mohammad Sharifikia, Yousef Ghavidel

  31-05-2016

  https://doi.org/10.4081/gh.2016.442

  4451

  PDF: 1296

  HTML: 2569
• 

  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

  2147

  PDF: 901

  HTML: 127
• 

  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

  1312

  PDF: 298

  Appendix: 234

  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

  2226

  PDF: 486

  HTML: 53
• 

  Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

  Gerardo Núñez Medina

  17-05-2022

  https://doi.org/10.4081/gh.2022.1080

  1014

  PDF: 492

  HTML: 105
• 

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

  Ruiwen Xiong, Xiaolong Li

  20-07-2023

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

  1188

  PDF: 589

  HTML: 24
• 

  Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

  João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes

  13-07-2023

  https://doi.org/10.4081/gh.2023.1206

  1603

  PDF: 672

  Supplementary Materials: 64

  HTML: 33
• 

  Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

  Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements

  07-05-2018

  https://doi.org/10.4081/gh.2018.644

  1927

  PDF: 766

  HTML: 80
• 

  Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

  Guillermo Albrieu-Llinás, Manuel O. Espinosa, Agustín Quaglia, Marcelo Abril, Carlos Marcelo Scavuzzo

  07-05-2018

  https://doi.org/10.4081/gh.2018.654

  2763

  PDF: 1148

  HTML: 186

• Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan

  Sami Ullah, Mushtaq Ahmad Khan Barakzai, Tianfa Xie

  03-09-2024

  https://doi.org/10.4081/gh.2024.1313

  1027

  PDF: 412

  HTML: 94
• 

  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

  6685

  PDF: 2165

  HTML: 1135
• 

  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

  3793

  PDF: 1563

  HTML: 2246

• 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

  1213

  PDF: 421

  HTML: 83
• 

  A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

  Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó

  23-10-2023

  https://doi.org/10.4081/gh.2023.1212

  1164

  PDF: 603

  HTML: 13
• 

  Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

  Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch

  26-05-2017

  https://doi.org/10.4081/gh.2017.501

  8731

  PDF: 4082

  HTML: 2166
• 

  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

  2717

  PDF: 1118

  HTML: 883

• 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

  840

  PDF: 238

  Supplementary Materials: 112

  HTML: 70
• 

  Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

  Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet

  17-05-2022

  https://doi.org/10.4081/gh.2022.1058

  5768

  PDF: 2168

  Appendix: 285

  HTML: 230
• 

  Mosquito breeding site water temperature observations and simulations towards improved vector-borne disease models for Africa

  Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert, Robert Redl

  31-03-2016

  https://doi.org/10.4081/gh.2016.391

  2852

  PDF: 1463

  HTML: 4602
• 

  The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

  Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina

  07-11-2017

  https://doi.org/10.4081/gh.2017.581

  3342

  PDF: 1039

  HTML: 847
• 

  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

  1439

  PDF: 414

  HTML: 34
• 

  Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

  Manon Pigeolet, Tarinee Kucchal, Matthew T. Hey, Marcia C. Castro, Angela Margaret Evans, Tarsicio Uribe-Leitz, Mohommad Mamun Hossen Chowhury, Sabrina Juran

  25-05-2023

  https://doi.org/10.4081/gh.2023.1174

  880

  PDF: 445

  HTML: 7
• 

  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

  5881

  PDF: 2341

  HTML: 3065
• 

  Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran

  Farideh Azimi, Sadegh Shirian, Saranaz Jangjoo, Arman Ai, Tahereh Abbasi

  08-05-2017

  https://doi.org/10.4081/gh.2017.478

  2643

  PDF: 1215

  HTML: 1042
• 

  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

  654

  PDF: 141

  HTML: 42
• 

  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

  892

  PDF: 386

  HTML: 48

• Modelling spatial distribution of snails transmitting parasitic worms with importance to human and animal health and analysis of distributional changes in relation to climate

  Ulrik B. Pedersen, Nicholas Midzi, Takafira Mduluza, White Soko, Anna-Sofie Stensgaard, Birgitte J. Vennervald, Samson Mukaratirwa, Thomas K. Kristensen

  335-343

  01-05-2014

  https://doi.org/10.4081/gh.2014.23

  3991

  PDF: 1692
• 

  The future of general practitioner care in Lower Saxony, Germany: an analysis of actual vs target states using a GIS-based floating catchment area method

  Jonas Schoo, Frank Schüssler

  19-02-2025

  https://doi.org/10.4081/gh.2025.1339

  1847

  PDF: 507

  HTML: 97
• 

  Access to dialysis services: A systematic mapping review based on geographical information systems

  Benyamin Hoseini, Nasser Bagheri, Behzad Kiani, Amirabbas Azizi, Hamed Tabesh, Mahmood Tara

  07-05-2018

  https://doi.org/10.4081/gh.2018.577

  3513

  PDF: 1316

  HTML: 204
• 

  Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast

  Emília Carolle Azevedo de Oliveira, Iris Edna Pereira da Silva, Ricardo José Ferreira, Ricardo José de Paula Souza e Guimarães, Elainne Christine de Souza Gomes, Constança Simões Barbosa

  29-12-2020

  https://doi.org/10.4081/gh.2020.861

  2241

  PDF: 870

  HTML: 54
• 

  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

  4232

  PDF: 1633

  Appendix: 486

  HTML: 1576
• 

  Changes in geographic clustering of post-traumatic stress disorder and post-traumatic growth seven years after an earthquake in Cauquenes, Chile

  Marcelo Leiva-Bianchi, Carlos Mena, Yony Ormazábal, Carlos Serrano, Pedro Rojas

  26-11-2020

  https://doi.org/10.4081/gh.2020.886

  2170

  PDF: 707

  HTML: 6
• 

  Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution?

  Kristin Meseck, Marta M. Jankowska, Jasper Schipperijn, Loki Natarajan, Suneeta Godbole, Jordan Carlson, Michelle Takemoto, Katie Crist, Jacqueline Kerr

  31-05-2016

  https://doi.org/10.4081/gh.2016.403

  2135

  PDF: 1300

  HTML: 889

• Mastering geographically weighted regression: key considerations for building a robust model

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

  29-02-2024

  https://doi.org/10.4081/gh.2024.1271

  7769

  PDF: 1284

  HTML: 846

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

  Juree Sansuk, Kittipong Sornlorm

  30-01-2024

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

  5973

  PDF: 745

  HTML: 883
• 

  Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

  Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He

  06-05-2022

  https://doi.org/10.4081/gh.2022.1030

  1016

  PDF: 431

  HTML: 211
• 

  A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

  Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh

  29-11-2022

  https://doi.org/10.4081/gh.2022.1114

  708

  PDF: 613

  HTML: 9
• 

  The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

  Rufin K. Assaré, Ying-Si Lai, Ahoua Yapi, Yves-Nathan T. Tian-Bi, Mamadou Ouattara, Patrick K. Yao, Stefanie Knopp, Penelope Vounatsou, Jürg Utzinger, Eliézer K. N'Goran

  03-06-2015

  https://doi.org/10.4081/gh.2015.345

  3883

  PDF: 1608

  HTML: 1231
• 

  The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

  Vicente Y. Belizario, John Paul Caesar R. delos Trinos, Berne Silawan, Chiqui M. De Veyra, Agapito Hornido, Hansel Amoguis, Dominic Basalo, Cherry Dema-ala, Irenn Mantilla, Rosele Layan

  06-11-2017

  https://doi.org/10.4081/gh.2017.540

  6945

  PDF: 1738

  HTML: 2084
• 

  Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

  Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani

  17-10-2023

  https://doi.org/10.4081/gh.2023.1205

  914

  PDF: 477

  HTML: 139
• 

  Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

  Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar

  30-11-2022

  https://doi.org/10.4081/gh.2022.1097

  2005

  PDF: 742

  HTML: 110
• 

  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

  2802

  PDF: 962

  HTML: 34
• 

  Assessing spatial inequalities in accessing community pharmacies: a mixed geographically weighted approach

  Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Roberto Gasparini, Donatella Panatto

  16-11-2016

  https://doi.org/10.4081/gh.2016.457

  3030

  PDF: 1398

  HTML: 1304
• 

  The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

  Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens

  04-11-2015

  https://doi.org/10.4081/gh.2015.386

  2924

  PDF: 990

  HTML: 1198
• 

  Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

  Adel Al-Huraibi, Sherif Amer, Justine Blanford

  03-03-2025

  https://doi.org/10.4081/gh.2025.1293

  1550

  PDF: 412

  HTML: 77

• 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

  1257

  PDF: 545

  HTML: 104
• 

  Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy

  Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Loshini Thiruchelvam, Nur Balqishanis Zainal Abidin, Ani Shabri, Sarah A'fifah Abdullah Sani

  13-11-2023

  https://doi.org/10.4081/gh.2023.1236

  1177

  PDF: 532

  HTML: 23
• 

  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

  4835

  PDF: 2222

  HTML: 734
• 

  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

  1051

  PDF: 409

  HTML: 10
• 

  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

  1704

  PDF: 813

  Supplementary Materials: 105

  HTML: 34

• Abundance modelling of invasive and indigenous Culicoides species in Spain

  Els Ducheyne, Miguel A. Miranda Chueca, Javier Lucientes, Carlos Calvete, Rosa Estrada, Gert-Jan Boender, Els Goossens, Eva M. De Clercq, Guy Hendrickx

  241-254

  01-11-2013

  https://doi.org/10.4081/gh.2013.70

  2081

  PDF: 854
• 

  Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand

  Phuricha Phacharathonphakul, Kittipong Sornlorm

  29-11-2024

  https://doi.org/10.4081/gh.2024.1300

  1334

  PDF: 325

  HTML: 27
• 

  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

  2326

  PDF: 372

  HTML: 43

• 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

  907

  PDF: 293

  HTML: 74