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  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

  8417

  PDF: 3524

  HTML: 2705
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  Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy

  Dimitrios Ntokos

  14-04-2026

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

  408

  PDF: 189

  Supplementary materials: 27

  HTML: 8

• Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018

  Qiong Zhang, Shangrui Zhu, Sue C. Grady, Anqi Wang, Hollis Hutchings, Jessica Cox, Andrew Popoff, Ikenna Okereke

  14-02-2024

  https://doi.org/10.4081/gh.2024.1219

  6558

  PDF: 1095

  Supplementary Materials: 155

  HTML: 87
• 

  Oncologic burden in Ukraine: regional inequalities and environmental risk factors

  Anatolii Kornus, Olesia Kornus, Yurii Liannoi, Olena Danylchenko, Serhii Lutsenko

  14-11-2025

  https://doi.org/10.4081/gh.2025.1418

  544

  PDF: 235

  HTML: 10
• 

  Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

  Mehdi Raei, Volker Johann Schmid, Behzad Mahaki

  08-05-2018

  https://doi.org/10.4081/gh.2018.645

  2547

  PDF: 1191

  HTML: 144
• 

  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

  2194

  PDF: 1242

  HTML: 866
• 

  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

  5156

  PDF: 2057

  HTML: 2073
• 

  How much incident lung cancer was missed globally in 2012? An ecological country-level study

  Benn Sartorius, Kurt Sartorius

  31-05-2016

  https://doi.org/10.4081/gh.2016.396

  2622

  PDF: 1418

  HTML: 1032
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  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

  1889

  PDF: 988

  HTML: 172
• 

  Detection of spatial aggregation of cases of cancer from data on patients and health centres contained in the Minimum Basic Data Set

  Pablo Fernández-Navarro, Jose-Miguel Sanz-Anquela, Angel Sánchez Pinilla, Rosario Arenas Mayorga, Carmen Salido-Campos, Gonzalo Lòpez-Abente

  07-05-2018

  https://doi.org/10.4081/gh.2018.616

  1880

  PDF: 953

  SUPPLEMENTARY: 418

  HTML: 140
• 

  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

  1983

  PDF: 1118

  HTML: 61
• 

  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

  2603

  PDF: 1686

  HTML: 977
• 

  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

  3495

  PDF: 1181

  HTML: 827
• 

  Disease mapping and spatio-temporal analysis: importance of expected-case computation criteria

  Gonzalo Lòpez-Abente, Nuria Aragonés, Javier García-Pérez, Pablo Fernández- Navarro

  27-35

  01-11-2014

  https://doi.org/10.4081/gh.2014.3

  3465

  PDF: 1751
• 

  Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil

  Bruna Rafaela Leite Dias, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues, Bruna Puty, Maria Liracy Batista de Souza, Gracileide Maia Corrêa, Altem Nascimento Pontes

  12-09-2025

  https://doi.org/10.4081/gh.2025.1399

  727

  PDF: 278

  HTML: 13
• 

  A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

  Wasana Silangam, Amornrat Luenam

  14-11-2025

  https://doi.org/10.4081/gh.2025.1424

  657

  PDF: 348

  HTML: 8
• 

  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

  7309

  PDF: 2537

  APPENDIX: 1183

  HTML: 5431
• 

  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

  1747

  PDF: 814

  HTML: 19
• 

  Optimizing mobile mammography deployment in Oklahoma 2024: a two-step floating catchment area approach

  Janis E. Campbell, Amanda Janitz, Ayesha B. Sambo, Nubwa St. James, Stephanie F. Pharr, Mark P. Doescher

  21-04-2026

  https://doi.org/10.4081/gh.2026.1426

  167

  PDF: 139

  Supplementary materials: 23

  HTML: 4
• 

  Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

  Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri

  18-04-2016

  https://doi.org/10.4081/gh.2016.426

  2401

  PDF: 1830

  HTML: 1145
• 

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

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

  03-07-2023

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

  2323

  PDF: 1156

  Supplementary Materials: 183

  HTML: 26
• 

  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

  3837

  PDF: 1736

  SUPPL. MATERIAL: 459

  HTML: 1087
• 

  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

  3178

  PDF: 1246

  HTML: 1085

• Bayesian spatio-temporal modelling of tobacco-related cancer mortality in Switzerland

  Verena Jürgens, Silvia Ess, Harish C. Phuleria, Martin Früh, Matthias Schwenkglenks, Harald Frick, Thomas Cerny, Penelope Vounatsou

  219-236

  01-05-2013

  https://doi.org/10.4081/gh.2013.82

  3570

  PDF: 1474

• A multi-stage approach to maximizing geocoding success in a large population-based cohort study through automated and interactive processes

  Jennifer S. Sonderman, Michael T. Mumma, Sarah S. Cohen, Elizabeth L. Cope, William J. Blot, Lisa B. Signorello

  273-284

  01-05-2012

  https://doi.org/10.4081/gh.2012.145

  2253

  PDF: 866
• 

  Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

  Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han

  23-11-2016

  https://doi.org/10.4081/gh.2016.482

  2903

  PDF: 1023

  HTML: 817
• 

  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

  4201

  PDF: 1987

  HTML: 1503
• 

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

  Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou

  18-04-2016

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

  2480

  PDF: 1508

  HTML: 926

• Cluster detection of diseases in heterogeneous populations: an alternative to scan methods

  Rebeca Ramis, Diana Gomez-Barroso, Gonzalo Lòpez-Abente

  517-526

  01-05-2014

  https://doi.org/10.4081/gh.2014.41

  1934

  PDF: 1185

• Increased cancer mortality in Taiwanese inter-island migrants

  Meng-Kan Chen, Hsiu-Hsi Chen

  251-263

  01-05-2013

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

  1487

  PDF: 860
• 

  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

  1377

  PDF: 583

  HTML: 94

• Monitoring the cluster of high-risk mortality areas in the southwest of Spain

  Maria Buxò-Pujolrás, José Miguel Martínez, Yutaka Yasui, Carme Borrell, Juan Carlos Martín, Montserrat Vergara, Marta Cervantes, Joan Benach

  73-81

  01-11-2012

  https://doi.org/10.4081/gh.2012.106

  1405

  PDF: 837
• 

  Preferential sampling in veterinary parasitological surveillance

  Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan

  18-04-2016

  https://doi.org/10.4081/gh.2016.412

  2305

  PDF: 1657

  APPENDIX: 647

  HTML: 1046
• 

  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

  3411

  PDF: 628

  HTML: 34
• 

  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

  3734

  PDF: 1366

  HTML: 876
• 

  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

  2417

  PDF: 1385

  HTML: 1151
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  An analysis of the process and results of manual geocode correction

  Yolanda J. McDonald, Michael Schwind, Daniel W. Goldberg, Amanda Lampley, Cosette M. Wheeler

  11-05-2017

  https://doi.org/10.4081/gh.2017.526

  2441

  PDF: 1029

  HTML: 985
• 

  CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

  Barbara Więckowska, Justyna Marcinkowska

  06-11-2017

  https://doi.org/10.4081/gh.2017.556

  2446

  PDF: 766

  HTML: 898
• 

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

  Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet

  29-12-2020

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

  1769

  PDF: 803

  HTML: 18
• 

  Spatial analysis of the regional variation of reproductive tract infections and spousal migration correlates in Nepal

  Derek C. Johnson, Pema Lhaki, Charlotte Buehler Cherry, Mirjam-Colette Kempf, Eric Chamot, Sten H. Vermund, Sadeep Shrestha

  30-05-2017

  https://doi.org/10.4081/gh.2017.513

  2525

  PDF: 1279

  HTML: 956

• A statistical approach to rank multiple priorities in Environmental Epidemiology: an example from high-risk areas in Sardinia, Italy

  Dolores Catelan, Annibale Biggeri

  81-89

  01-11-2008

  https://doi.org/10.4081/gh.2008.234

  1540

  PDF: 827
• 

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

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

  29-12-2020

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

  3027

  PDF: 1128

  HTML: 73
• 

  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

  3458

  PDF: 1588

  HTML: 1250

• Multiple testing in disease mapping and descriptive epidemiology

  Dolores Catelan, Annibale Biggeri

  219-229

  01-05-2010

  https://doi.org/10.4081/gh.2010.202

  1650

  PDF: 1044
• 

  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

  1842

  PDF: 997

  HTML: 1064

• A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

  Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan

  87-95

  01-11-2013

  https://doi.org/10.4081/gh.2013.57

  2696

  PDF: 1411
• 

  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

  2820

  PDF: 813

  HTML: 848
• 

  Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

  Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati

  27-11-2015

  https://doi.org/10.4081/gh.2015.373

  5363

  PDF: 2010

  HTML: 1033
• 

  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

  1050

  PDF: 543

  Supplementary Materials: 105

  HTML: 104
• 

  Industrial pollution and mortality from digestive cancers at the small area level in a Spanish industrialized province

  Vanessa Santos-Sanchez, Juan Antonio Còrdoba-Doña, Javier García-Pérez, Antonio Escolar-Pujolar, Lucia Pozzi, Rebeca Ramis

  19-06-2020

  https://doi.org/10.4081/gh.2020.802

  1321

  PDF: 856

  Appendix: 246

  HTML: 60
• 

  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

  952

  PDF: 392

  HTML: 37
• 

  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

  3276

  PDF: 1447

  HTML: 1226
• 

  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

  2400

  PDF: 832

  HTML: 79
• 

  A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico

  Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo

  24-03-2022

  https://doi.org/10.4081/gh.2022.1054

  1620

  PDF: 489

  Appendix: 257

  HTML: 42
• 

  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

  3499

  PDF: 1246

  HTML: 72

• Assessing bias associated with geocoding of historical residence in epidemiology research

  Daikwon Han, Matthew R. Bonner, Jing Nie, Jo L. Freudenheim

  369-374

  01-05-2013

  https://doi.org/10.4081/gh.2013.93

  2075

  PDF: 1212

• Sensitivity analysis of the relationship between disease occurrence and distance from a putative source of pollution

  Emanuela Dreassi, Corrado Lagazio, Milena M. Maule, Corrado Magnani, Annibale Biggeri

  263-271

  01-05-2008

  https://doi.org/10.4081/gh.2008.249

  1404

  PDF: 768

• A descriptive and model-based spatial comparison of the standardised mortality ratio and the age-standardised mortality rate

  Sibylle Sturtz, Katja Ickstadt

  255-266

  01-05-2007

  https://doi.org/10.4081/gh.2007.273

  1608

  PDF: 982
• 

  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

  4061

  PDF: 1288

  APPENDIX: 552

  HTML: 958
• 

  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

  3210

  PDF: 1021

  HTML: 906
• 

  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

  944

  PDF: 836

  HTML: 27
• 

  Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

  Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato

  25-05-2023

  https://doi.org/10.4081/gh.2023.1203

  1038

  PDF: 673

  HTML: 33
• 

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

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

  29-12-2020

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

  2159

  PDF: 1030

  HTML: 47
• 

  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

  3237

  PDF: 1692

  HTML: 198

• Methodological approach to determine of small spatial units in a highly complex terrain in atmospheric pollution research: the case of Zasavje region in Slovenia

  Andreja Kukec, Marija Z. Boznar, Primoz Mlakar, Bostjan Grasic, Andrej Herakovic, Vesna Zadnik, Lijana Zaletel-Kragelj, Jerneja Farkas, Ivan Erzen

  527-535

  01-05-2014

  https://doi.org/10.4081/gh.2014.42

  1538

  PDF: 907
• 

  Searching for space-time clusters: The CutL method compared to Kulldorff's scan statistic

  Barbara WiÄ™ckowska, Ilona Gòrna, Maciej Trojanowski, Agata Pruciak, Barbara StawiÅ„ska-WitoszyÅ„ska

  06-11-2019

  https://doi.org/10.4081/gh.2019.791

  1475

  PDF: 818

  HTML: 186
• 

  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

  3250

  PDF: 1161

  HTML: 37
• 

  Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: impact of the national Neglected Tropical Disease control programme

  Elias Nyandwi, Tom Veldkamp, Frank Badu Osei, Sherif Amer

  08-05-2017

  https://doi.org/10.4081/gh.2017.514

  3449

  PDF: 1196

  HTML: 1080

• 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

  8474

  PDF: 1583

  HTML: 881
• 

  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

  4227

  PDF: 1846

  HTML: 2263
• 

  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

  1748

  PDF: 861

  HTML: 26
• 

  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

  2607

  PDF: 470

  HTML: 50

• 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

  2950

  PDF: 911

  HTML: 249
• 

  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

  699

  PDF: 439

  Supplementary Materials: 129

  HTML: 30
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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

  1429

  PDF: 591

  HTML: 22
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  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

  2002

  PDF: 973

  HTML: 52

• A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

  Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa

  28-03-2024

  https://doi.org/10.4081/gh.2024.1264

  3007

  PDF: 902

  HTML: 98
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  Climate and the distribution of vector-borne diseases: what's in store?

  Robert Bergquist

  08-05-2017

  https://doi.org/10.4081/gh.2017.549

  3353

  PDF: 1453

  HTML: 852
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  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

  2070

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  HTML: 159
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  Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

  Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Muhammad Salim Javed Gandapur, Iftikhar Ali, Alamgir Khalil

  05-05-2021

  https://doi.org/10.4081/gh.2021.961

  4080

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  HTML: 116
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  Impact of walkability with regard to physical activity in the prevention of diabetes

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

  03-11-2017

  https://doi.org/10.4081/gh.2017.595

  3743

  PDF: 1215

  HTML: 1087
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  Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

  José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega

  17-05-2022

  https://doi.org/10.4081/gh.2022.1087

  1737

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  Appendix: 187

  HTML: 70

• The power of interactive maps for communicating spatio-temporal data to health professionals

  Nils Tjaden, Felix Geeraedts, Caroline K. Kioko, Annelies Riezebos-Brilman, Nashwan al Naiemi, Justine Blanford, Nienke Beerlage-de Jong

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  https://doi.org/10.4081/gh.2024.1296

  1283

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  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

  2921

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

  I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular

  22-03-2022

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

  1576

  PDF: 559

  HTML: 40
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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

  4383

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  Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

  Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang

  07-05-2018

  https://doi.org/10.4081/gh.2018.608

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