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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

3024

PDF: 1275

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

1392

PDF: 807

Appendix: 79

HTML: 68
Geographically weighted regression for modelling the accessibility to the public hospital network in ConcepciÃ³n Metropolitan Area, Chile

Marcela Martínez Bascuñán, Carolina Rojas Quezada

22-11-2016

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

3546

PDF: 1565

HTML: 2151
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

1048

PDF: 403

HTML: 10
Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan

16-05-2022

https://doi.org/10.4081/gh.2022.1072

1693

PDF: 766

HTML: 128
Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

Brian Hendricks, Miguella Mark-Carew, Jamison Conley

13-11-2017

https://doi.org/10.4081/gh.2017.582

2398

PDF: 715

HTML: 742
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

2200

PDF: 1180

HTML: 136
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

1816

PDF: 818

HTML: 56
Spatial air pollution modelling for a West-African town

Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, HampÃ¢té BÃ¢, Guéladio Cissé, Ming-Yi Tsai

26-11-2015

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

3481

PDF: 1388

SUPPL. MATERIAL: 392

HTML: 1078
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

2811

PDF: 1564

HTML: 1366
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

3017

PDF: 1389

HTML: 1304
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

2163

PDF: 902

HTML: 87
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

3558

PDF: 1742

HTML: 434
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

2174

PDF: 1174

HTML: 2011
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

4015

PDF: 2099

HTML: 2149
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

1203

PDF: 363

HTML: 54
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

2214

PDF: 479

HTML: 53
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

1886

PDF: 733

HTML: 105
Geospatial epidemiology of coronary artery disease treated with percutaneous coronary intervention in Crete, Greece

Evangelos Melidoniotis, Kleomenis Kalogeropoulos, Andreas Tsatsaris, Michail Zografakis-Sfakianakis, George Lazopoulos, Nikolaos Tzanakis, Ioannis Anastasiou, Emmanouil Skalidis

16-05-2024

https://doi.org/10.4081/gh.2024.1251

2083

PDF: 412

HTML: 49
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

1676

PDF: 724

HTML: 25
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

1096

PDF: 549

HTML: 26
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

1245

PDF: 552

HTML: 40
Estimating small area health-related characteristics of populations: a methodological review

Azizur Rahman

08-05-2017

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

3933

PDF: 1681

HTML: 1345
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

1567

PDF: 300

HTML: 72
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: 428

HTML: 208
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

1591

PDF: 341

Supplementary materials: 126

HTML: 87
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

1302

PDF: 475

HTML: 30
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

1484

PDF: 712

HTML: 18
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

1779

PDF: 792

HTML: 29
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

476

PDF: 162

HTML: 1
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

5963

PDF: 735

HTML: 881
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

8720

PDF: 4072

HTML: 2165
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

6772

PDF: 2275

APPENDIX: 1078

HTML: 5097
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

3819

PDF: 1494

APPENDIX 1: 410

APPENDIX 2: 398

HTML: 1638
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

7757

PDF: 1276

HTML: 846
Regional variation of alanine aminotransferase serum levels in the People's Republic of China

Peng Li, Miao Ge, Jing Jing, Dezhi Wei

28-11-2017

https://doi.org/10.4081/gh.2017.472

2316

PDF: 488

HTML: 699
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

4444

PDF: 1289

HTML: 2569
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

1290

PDF: 889

Appendix: 76

HTML: 166
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

4829

PDF: 2211

HTML: 733
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

391

PDF: 83

HTML: 3
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

1901

PDF: 457

Supplementary 1: 79

Supplementary 2: 225

HTML: 143
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

915

PDF: 241

HTML: 4
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

5869

PDF: 2328

HTML: 3064
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

1586

PDF: 664

Supplementary Materials: 61

HTML: 31
Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

Amornrat Luenam, Nattapong Puttanapong

26-11-2020

https://doi.org/10.4081/gh.2020.856

2963

PDF: 972

HTML: 68
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

1197

PDF: 374

HTML: 41
Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf

11-05-2017

https://doi.org/10.4081/gh.2017.539

3260

PDF: 1051

HTML: 816
Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou

03-06-2015

https://doi.org/10.4081/gh.2015.302

3918

PDF: 1572

HTML: 1739
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz

06-10-2023

https://doi.org/10.4081/gh.2023.1227

1115

PDF: 507

Supplementary Materials: 46

HTML: 11
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

1607

PDF: 474

HTML: 82
Geographic distribution and demographic factors associated with use of a long-acting reversible contraceptive (LARC) in Ethiopia

Mintesnot Tenkir Teni, Travis Loux, Ness Sandoval, Anne Sebert Kuhlmann

23-01-2025

https://doi.org/10.4081/gh.2025.1302

3194

PDF: 1156

HTML: 1139
Asthmatic symptoms and air pollution: a panel study on children living in the Italian Po Valley

Andrea Ranzi, Anna Freni Sterrantino, Francesco Forastiere, Claudio Sartini, Giovanna Casale, Rino Cavallini, Aldo De Togni, Lorenza Gallo, Paolo Lauriola

26-11-2015

https://doi.org/10.4081/gh.2015.366

3231

PDF: 1352

HTML: 1239
Trends in obesity at the national and local level among South Korean adolescents

Kyungsoo Han, Sejin Park, Jürgen Symanzik, Sookhee Choi, Jeongyong Ahn

31-05-2016

https://doi.org/10.4081/gh.2016.381

2599

PDF: 1153

HTML: 1216
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

2794

PDF: 956

HTML: 34
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

1426

PDF: 743

HTML: 115
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

1322

PDF: 318

HTML: 27
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai

20-12-2024

https://doi.org/10.4081/gh.2024.1322

856

PDF: 198

Supplementary Materials: 52

HTML: 7
Spatial accessibility to emergency care in Sichuan province in China

Xuefeng Tang, Yufan Deng, Huazhen Yang, Fan Tian, Youping Li, Jay Pan

29-12-2020

https://doi.org/10.4081/gh.2020.891

1833

PDF: 714

HTML: 28
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

877

PDF: 439

HTML: 7
Geographic access to radiation therapy facilities and disparities of early-stage breast cancer treatment

Yan Lin, Michael C. Wimberly, Patricia Da Rosa, Joseph Hoover, William F. Athas

07-05-2018

https://doi.org/10.4081/gh.2018.622

3306

PDF: 1198

HTML: 361
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

1208

PDF: 676

HTML: 35
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

1435

PDF: 409

HTML: 34
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan

07-04-2025

https://doi.org/10.4081/gh.2025.1277

883

PDF: 249

Supplementary materials: 102

HTML: 90
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

1008

PDF: 308

HTML: 43
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

3088

PDF: 960

HTML: 1457
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

1924

PDF: 762

HTML: 80
Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan

25-05-2023

https://doi.org/10.4081/gh.2023.1186

1341

PDF: 737

HTML: 28
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

1956

PDF: 990

HTML: 1118
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

2085

PDF: 1307

HTML: 238
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

532

PDF: 131

HTML: 0
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

1184

PDF: 583

HTML: 24
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm , Warangkana Sungsitthisawad, Roshan Kumar Mahato

27-01-2025

https://doi.org/10.4081/gh.2025.1329

2600

PDF: 785

Supplementary Materials: 508

HTML: 236
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

3874

PDF: 1601

HTML: 1230
Spatial analysis of incidence of cutaneous melanoma in the Friuli Venezia Giulia region in the period 1995-2005

Lorenzo Cecconi, Anna Busolin, Fabio Barbone, Diego Serraino, Alessandra Chiarugi, Annibale Biggeri, Dolores Catelan

18-04-2016

https://doi.org/10.4081/gh.2016.422

2275

PDF: 1475

HTML: 961
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

3504

PDF: 1039

HTML: 911
Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

Ã‚ndria 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

1633

PDF: 759

HTML: 34
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

810

PDF: 559

HTML: 19
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

2852

PDF: 1196

HTML: 1194
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

2446

PDF: 776

HTML: 726
Analysing the spatial patterns of livestock anthrax in Kazakhstan in relation to environmental factors: a comparison of local (Gi*) and morphology cluster statistics

Ian T. Kracalik, Jason K. Blackburn, Larisa Lukhnova, Yerlan Pazilov, Martin E. Hugh-Jones, Alim Aikimbayev

111-126

01-11-2012

https://doi.org/10.4081/gh.2012.110

2410

PDF: 1013
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

215

PDF: 68

HTML: 1
Comparing the perception with the reality of walking in a hilly environment: an accessibility method applied to a University campus in Hong Kong

Guibo Sun, Robert Haining, Hui Lin, Nicolas M. Oreskovic, Jie He

18-05-2015

https://doi.org/10.4081/gh.2015.340

5004

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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

3354

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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

3555

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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

2487

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APPENDIX: 383

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The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation

Bernada E. Sianga, Maurice C. Mbago, Amina S. Msengwa

10-09-2024

https://doi.org/10.4081/gh.2024.1307

1709

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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

771

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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

908

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Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

Roberto Condoleo, Vincenzo Musella, Maria Paola Maurelli, Antonio Bosco, Giuseppe Cringoli, Laura Rinaldi

31-05-2016

https://doi.org/10.4081/gh.2016.432

2447

PDF: 1120

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Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira

11-05-2017

https://doi.org/10.4081/gh.2017.450

2885

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Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak

201-217

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https://doi.org/10.4081/gh.2010.201

1558

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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

5921

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Appendix: 543

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Appendix: 193
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

4118

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Relative contributions of neighbourhood and animal movements to Coxiella burnetii infection in dairy cattle herds

Simon Nusinovici, Thierry Hoch, Stefan Widgren, Alain Joly, Ann Lindberg, François Beaudeau

471-477

01-05-2014

https://doi.org/10.4081/gh.2014.36

4533

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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

664

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Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7016

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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

3866

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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

1254

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Spatial clustering of colorectal cancer in Malaysia

Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan

25-05-2023

https://doi.org/10.4081/gh.2023.1158

1301

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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

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