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  Estimating small area health-related characteristics of populations: a methodological review

  Azizur Rahman

  08-05-2017

  https://doi.org/10.4081/gh.2017.495

  4403

  PDF: 1988

  HTML: 1374
• 

  Spatiality in small area estimation: A new structure with a simulation study

  Yadollah Mehrabi, Amir Kavousi, Ahmad-Reza Baghestani, Mojtaba Soltani-Kermanshahi

  29-12-2020

  https://doi.org/10.4081/gh.2020.872

  1242

  PDF: 607

  Supplementary materials: 186

  HTML: 26
• 

  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

  1832

  PDF: 1235

  HTML: 203
• 

  Cancer incidence in Priolo, Sicily: a spatial approach for estimation of industrial air pollution impact

  Lucia Fazzo, Mario Carere, Francesco Tisano, Caterina Bruno, Achille Cernigliaro, Maria Rita Cicero, Pietro Comba, Maria Luisa Contrino, Marco De Santis, Fabrizio Falleni, Vincenzo Ingallinella, Anselmo Madeddu, Ida Marcello, Carlo Regalbuto, Giovanna Sciacca, Maria Eleonora Soggiu, Amerigo Zona

  18-04-2016

  https://doi.org/10.4081/gh.2016.320

  5178

  PDF: 2067

  HTML: 2079
• 

  Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

  Jonas Franke, Michael Gebreslasie, Ides Bauwens, Julie Deleu, Florian Siegert

  03-06-2015

  https://doi.org/10.4081/gh.2015.335

  4623

  PDF: 1657

  HTML: 1222
• 

  Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

  Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen

  31-05-2016

  https://doi.org/10.4081/gh.2016.428

  7339

  PDF: 2554

  APPENDIX: 1185

  HTML: 5447
• 

  Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

  Caroline Bayr, Heinz Gallaun, Ulrike Kleb, Birgit Kornberger, Martin Steinegger, Martin Winter

  18-04-2016

  https://doi.org/10.4081/gh.2016.310

  2600

  PDF: 1477

  HTML: 2023
• 

  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

  1788

  PDF: 971

  Appendix: 145

  HTML: 82
• 

  Use of geographical information systems for delimiting health service areas in China

  Xuechen Xiong, Li Luo

  11-05-2017

  https://doi.org/10.4081/gh.2017.486

  2423

  PDF: 1187

  HTML: 1035
• 

  Spatial electromagnetic field intensity modelling of global system for mobile communication base stations in the Istanbul Technical University Ayazaga campus area

  Kubra Boz, Hayri Hakan Denli

  07-05-2018

  https://doi.org/10.4081/gh.2018.527

  1635

  PDF: 925

  HTML: 135
• 

  Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024

  Tariroyashe Chivanganye, Maphios Siamuchembu, Alice Gumbo, Lenka Beňová, Peter M. Macharia

  11-12-2025

  https://doi.org/10.4081/gh.2025.1434

  518

  PDF: 438

  HTML: 39
• 

  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

  1906

  PDF: 999

  HTML: 177
• 

  Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

  Federica Giardina, Jonas Franke, Penelope Vounatsou

  26-11-2015

  https://doi.org/10.4081/gh.2015.333

  3820

  PDF: 1731

  HTML: 1212
• 

  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

  7322

  PDF: 2549

  HTML: 1234
• 

  Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

  Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero

  31-05-2016

  https://doi.org/10.4081/gh.2016.410

  2319

  PDF: 1137

  HTML: 915
• 

  Spatial epidemiology of cancer: a review of data sources, methods and risk factors

  Rita Roquette, Marco Painho, Baltazar Nunes

  08-05-2017

  https://doi.org/10.4081/gh.2017.504

  8486

  PDF: 3536

  HTML: 2707
• 

  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

  3304

  PDF: 1456

  HTML: 1227
• 

  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

  2668

  PDF: 1217

  HTML: 1134
• 

  Simulation of the spatial distribution of urban populations based on first-aid call data

  Yinan Zhou, Qin Zhong Zhu, Li Luo

  29-12-2020

  https://doi.org/10.4081/gh.2020.768

  1618

  PDF: 661

  HTML: 39
• 

  Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

  Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

  08-11-2017

  https://doi.org/10.4081/gh.2017.578

  2932

  PDF: 1158

  HTML: 952
• 

  Topographic distribution of gastritis in heavy pigs investigated by a geographic information system approach

  Ernesto Pascotto, Diego Capraro, Paolo Tomè, Mauro Spanghero

  31-05-2016

  https://doi.org/10.4081/gh.2016.436

  2155

  PDF: 1070

  HTML: 869
• 

  Heterogeneity in a communal cattle-farming system in a zone endemic for foot and mouth disease in South Africa

  Ockert Louis van Schalkwyk, Eva M. De Clercq, Claudia De Pus, Guy Hendrickx, Peter van den Bossche, Darryn L. Knobel

  31-05-2016

  https://doi.org/10.4081/gh.2016.338

  2699

  PDF: 1395

  HTML: 1468
• 

  Assessment of primary healthcare accessibility and inequality in north-eastern Kazakhstan

  Askhat Shaltynov, Jorge Rocha , Ulzhan Jamedinova, Ayan Myssayev

  13-05-2022

  https://doi.org/10.4081/gh.2022.1046

  3342

  PDF: 1429

  HTML: 347
• 

  Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

  Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett

  10-12-2020

  https://doi.org/10.4081/gh.2020.919

  2755

  PDF: 936

  HTML: 153
• 

  Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

  Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes

  18-05-2015

  https://doi.org/10.4081/gh.2015.341

  3115

  PDF: 1400

  HTML: 1206
• 

  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

  1213

  PDF: 879

  HTML: 37
• 

  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

  2327

  PDF: 948

  HTML: 124
• 

  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

  https://doi.org/10.4081/gh.2015.329

  2889

  PDF: 1274

  HTML: 1013
• 

  Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

  Ândria Silveira Almeida, Caíque Jordan Nunes Ribeiro, Camila Caroline Carlini, Rogério Silva Santos, Allan Dantas dos Santos, Débora Santos Tavares, Karina Conceição Gomes Machado de Araújo, Tatiana Rodrigues de Moura, Priscila Lima dos Santos

  11-01-2021

  https://doi.org/10.4081/gh.2020.885

  2020

  PDF: 984

  HTML: 56
• 

  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

  1862

  PDF: 1002

  HTML: 1066
• 

  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

  2840

  PDF: 820

  HTML: 849
• 

  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

  1927

  PDF: 444

  HTML: 105
• 

  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

  1446

  PDF: 606

  HTML: 24
• 

  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

  988

  PDF: 713

  HTML: 67
• 

  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

  2722

  PDF: 1069

  HTML: 68
• 

  Sandwich mapping of schistosomiasis risk in Anhui Province, China

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

  03-06-2015

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

  3196

  PDF: 1251

  HTML: 1087
• 

  Spatial air pollution modelling for a West-African town

  Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, Hampâté Bâ, Guéladio Cissé, Ming-Yi Tsai

  26-11-2015

  https://doi.org/10.4081/gh.2015.321

  3869

  PDF: 1756

  SUPPL. MATERIAL: 465

  HTML: 1089
• 

  The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

  Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang

  29-11-2016

  https://doi.org/10.4081/gh.2016.480

  3238

  PDF: 1029

  HTML: 909
• 

  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

  3727

  PDF: 1912

  HTML: 2259
• 

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

  Sade Kılıç Yıldırım, Celal Reha Alpar

  14-11-2025

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

  447

  PDF: 220

  HTML: 6
• 

  Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

  Dustin T. Duncan, Ryan R. Ruff, Basile Chaix, Seann D. Regan, James H. Williams, Joseph Ravenell, Marie A. Bragg, Gbenga Ogedegbe, Brian Elbel

  31-05-2016

  https://doi.org/10.4081/gh.2016.399

  4227

  PDF: 1995

  HTML: 1504
• 

  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

  3967

  PDF: 1527

  HTML: 194
• 

  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

  2214

  PDF: 1108

  HTML: 73
• 

  Impact of the presence of private hospitals on the spatial equality of healthcare accessibility in Beijing, China

  Teqi Dai, Kaifei Guo, Juanjuan Zhao, Wenqing Lu

  29-11-2022

  https://doi.org/10.4081/gh.2022.1157

  2257

  PDF: 1132

  HTML: 105
• 

  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

  1675

  PDF: 773

  HTML: 76
• 

  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

  1813

  PDF: 479

  HTML: 58
• 

  Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

  Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

  09-06-2025

  https://doi.org/10.4081/gh.2025.1370

  1312

  PDF: 845

  HTML: 137
• 

  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

  2441

  PDF: 1398

  HTML: 1154
• 

  Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

  Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang

  28-11-2017

  https://doi.org/10.4081/gh.2017.611

  3761

  PDF: 971

  HTML: 730
• 

  Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

  Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

  04-11-2015

  https://doi.org/10.4081/gh.2015.374

  2498

  PDF: 1310

  HTML: 982
• 

  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

  3235

  PDF: 1372

  HTML: 1035
• 

  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

  3878

  PDF: 1892

  HTML: 2262
• 

  Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

  Young-Gyu Kwon, Man-Kyu Choi

  25-05-2023

  https://doi.org/10.4081/gh.2023.1175

  1479

  PDF: 810

  HTML: 55

• Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations

  Peter M. Macharia, Kerry L.M. Wong, Lenka Beňová, Jia Wang, Prestige Tatenda Makanga, Nicolas Ray, Aduragbemi Banke-Thomas

  27-05-2024

  https://doi.org/10.4081/gh.2024.1266

  3076

  PDF: 964

  Supplementary Materials: 162

  HTML: 244
• 

  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

  3301

  PDF: 1716

  HTML: 200
• 

  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

  6500

  PDF: 2366

  Appendix: 645

  HTML: 3341

  Appendix: 259
• 

  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

  4491

  PDF: 1874

  HTML: 1241
• 

  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

  3448

  PDF: 1840

  HTML: 1331
• 

  Investigating local variation in disease rates within high-rate regions identified using smoothing

  Matthew Tuson, Matthew Yap, David Whyatt

  25-05-2023

  https://doi.org/10.4081/gh.2023.1144

  712

  PDF: 453

  Supplementary Materials: 136

  HTML: 32
• 

  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

  4030

  PDF: 1526

  HTML: 1146
• 

  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

  814

  PDF: 341

  Supplementary materials: 82

  HTML: 23
• 

  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

  2466

  PDF: 665

  Supplementary Materials: 399

  HTML: 221
• 

  A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

  Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia

  18-07-2025

  https://doi.org/10.4081/gh.2025.1379

  1267

  PDF: 594

  HTML: 56
• 

  Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

  Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill

  05-07-2023

  https://doi.org/10.4081/gh.2023.1189

  1843

  PDF: 959

  HTML: 70
• 

  On the geographic access to healthcare, beyond proximity

  Songyuan Deng, Kevin Bennett

  28-09-2023

  https://doi.org/10.4081/gh.2023.1199

  2560

  PDF: 932

  HTML: 99
• 

  Public domain small-area cancer incidence data for New York State, 2005-2009

  Francis P. Boscoe, Thomas O. Talbot, Martin Kulldorff

  18-04-2016

  https://doi.org/10.4081/gh.2016.304

  2203

  PDF: 1250

  HTML: 867

• 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

  1955

  PDF: 741

  HTML: 133
• 

  Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

  Hassan M. Khormi, Lalit Kumar

  21-11-2016

  https://doi.org/10.4081/gh.2016.416

  5507

  PDF: 2634

  HTML: 1997
• 

  Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

  Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança Simões Barbosa

  25-11-2016

  https://doi.org/10.4081/gh.2016.490

  3227

  PDF: 1395

  HTML: 1627
• 

  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

  2151

  PDF: 938

  HTML: 117
• 

  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

  3121

  PDF: 1706

  HTML: 4899
• 

  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

  3903

  PDF: 712

  HTML: 96
• 

  Spatial Bayesian semi-parametric Cox-Leroux modelling of stroke patient hospitalization: aspects on survival

  Aswi Aswi, Bobby Poerwanto, Nurussyariah Hammado, Nurwan Nurwan, Oktaviana Oktaviana, Siti Djawijah, Susanna Cramb

  21-07-2025

  https://doi.org/10.4081/gh.2025.1380

  971

  PDF: 402

  HTML: 38
• 

  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

  1481

  PDF: 442

  HTML: 97
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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

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