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  Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

  Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang

  07-05-2018

  https://doi.org/10.4081/gh.2018.653

  2326

  PDF: 1254

  HTML: 206
• 

  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

  2791

  PDF: 1180

  HTML: 883
• 

  Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

  Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah

  18-05-2022

  https://doi.org/10.4081/gh.2022.1048

  1434

  PDF: 860

  HTML: 129
• 

  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

  6940

  PDF: 2395

  APPENDIX: 1128

  HTML: 5219

• 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

  2388

  PDF: 1267
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  Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

  Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang

  03-07-2023

  https://doi.org/10.4081/gh.2023.1151

  1838

  PDF: 764

  Supplementary Materials: 108

  HTML: 44
• 

  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

  1895

  PDF: 367

  HTML: 73
• 

  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

  1421

  PDF: 653

  HTML: 12
• 

  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

  2018

  PDF: 1140

  HTML: 858
• 

  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

  3638

  PDF: 1746

  HTML: 2225

• 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

  772

  PDF: 350

  HTML: 73
• 

  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

  1582

  PDF: 493

  HTML: 36
• 

  Spatial variations of COVID-19 risk by age in Toronto, Canada

  Nushrat Nazia

  20-07-2022

  https://doi.org/10.4081/gh.2022.1100

  936

  PDF: 381

  Appendix: 162

  HTML: 117
• 

  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

  1281

  PDF: 303

  HTML: 28

• 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

  1420

  PDF: 904
• 

  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

  3098

  PDF: 1363

  HTML: 1221

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

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

  26-11-2024

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

  708

  PDF: 212

  Supplementary Materials: 105

  HTML: 22

• Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya

  Uriel Kitron, Julie A. Clennon, M. Carla Cecere, Ricardo E. Gürtler, Charles H. King, Gonzalo Vazquez-Prokopec

  49-58

  01-11-2006

  https://doi.org/10.4081/gh.2006.280

  2350

  PDF: 925
• 

  Spatio-temporal distribution characteristics of cysticercosis from 2000 to 2014 in Dali, Yunnan province, China.

  Huanzhang Li, Xinzhong Zang, Xiaokang Hu, Eniola Michael Abe, Menbao Qian, Jingbo Xue, Yingdan Chen, Changhai Zhou, Yuhua Liu, Shizhu Li

  29-12-2020

  https://doi.org/10.4081/gh.2020.815

  1252

  HTML: 40

  PDF: 566
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  Mapping and modelling helminth infections in ruminants in Europe: experience from GLOWORM

  Laura Rinaldi, Guy Hendrickx, Giuseppe Cringoli, Annibale Biggeri, Els Ducheyne, Dolores Catelan, Eric Morgan, Diana Williams, Johannes Charlier, Georg von Samson-Himmelstjerna, Jozef Vercruysse

  257-259

  19-03-2015

  https://doi.org/10.4081/gh.2015.347

  2478

  PDF: 1456
• 

  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

  2277

  PDF: 979

  HTML: 89
• 

  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

  1221

  PDF: 670

  HTML: 37
• 

  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

  1527

  PDF: 437

  Supplementary materials: 152

  HTML: 103
• 

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

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

  31-05-2016

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

  2307

  PDF: 1204

  HTML: 1286
• 

  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

  1205

  PDF: 243

  HTML: 55
• 

  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

  4299

  PDF: 1515

  HTML: 1216
• 

  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

  1425

  PDF: 765

  HTML: 131
• 

  Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

  Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang

  21-07-2025

  https://doi.org/10.4081/gh.2025.1385

  505

  PDF: 140

  HTML: 20
• 

  Reducing bias in risk indices for COVID-19

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

  14-01-2022

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

  2827

  PDF: 402

  Appendix: 383

  HTML: 32
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  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

  1547

  PDF: 875

  Appendix: 109

  HTML: 70
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  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

  1364

  PDF: 606

  HTML: 23
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  The spatiotemporal dynamics and structural covariates of homicide in the Republic of Korea, 2008-2017: A dynamic spatial panel data approach

  Yunho Yeom, Jaehun Choi

  09-05-2022

  https://doi.org/10.4081/gh.2022.1040

  898

  PDF: 578

  HTML: 32
• 

  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

  1802

  PDF: 589

  HTML: 85
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  Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

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

  08-05-2018

  https://doi.org/10.4081/gh.2018.664

  1658

  PDF: 884

  HTML: 158
• 

  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

  1882

  PDF: 483

  Supplementary materials: 169

  HTML: 96
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  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

  2012

  PDF: 816

  HTML: 33
• 

  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

  3458

  PDF: 1198

  HTML: 850
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  Assessing the spatial accessibility of hospital care in Sichuan Province, China

  Jay Pan, Huiran Liu, Xiuli Wang, Hongmei Xie, Paul L. Delamater

  27-11-2015

  https://doi.org/10.4081/gh.2015.384

  5507

  PDF: 2202

  HTML: 1621
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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

  1195

  PDF: 483

  HTML: 11
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  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

  1703

  PDF: 745

  Supplementary Materials: 102

  HTML: 33
• 

  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

  1831

  PDF: 532

  HTML: 78
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  Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

  Aline Beatriz dos Santos Silva, Ana Catarina de Melo Araújo, Amanda Priscila de Santana Cabral Silva, Mirella Bezerra Rodrigues Vilela, Cristine Vieira do Bonfim

  17-05-2022

  https://doi.org/10.4081/gh.2022.1051

  1007

  PDF: 497

  Appendix: 133

  HTML: 22
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  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

  1373

  PDF: 460

  HTML: 45

• New insights into the application of geographical information systems and remote sensing in veterinary parasitology

  Laura Rinaldi, Vincenzo Musella, Annibale Biggeri, Giuseppe Cringoli

  33-47

  01-11-2006

  https://doi.org/10.4081/gh.2006.279

  3391

  PDF: 1551
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  Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

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

  26-11-2020

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

  3689

  PDF: 1210

  HTML: 21
• 

  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

  3960

  PDF: 1682

  APPENDIX 1: 440

  APPENDIX 2: 436

  HTML: 1639
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  Landscape, demographic and climatic associations with human West Nile virus occurrence regionally in 2012 in the United States of America

  John P. DeGroote, Ramanathan Sugumaran, Mark Ecker

  153-168

  01-11-2014

  https://doi.org/10.4081/gh.2014.13

  2329

  PDF: 1178
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  The Labin Region, an ecologically vulnerable geographical area in Croatia: Mortality characteristics in an area polluted by industrial over a 40-year period

  Toni Buterin, Robert Doričić, Dalibor Broznić, Tanja Ćorić, Amir Muzur

  17-05-2022

  https://doi.org/10.4081/gh.2022.1082

  940

  PDF: 494

  HTML: 63
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  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

  2455

  PDF: 821

  HTML: 116
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  Spatio-temporal patterns of dengue in Malaysia: combining address and sub-district level

  Cheong Y. Ling, Oliver Gruebner, Alexander Krämer, Tobia Lakes

  131-140

  01-11-2014

  https://doi.org/10.4081/gh.2014.11

  3529

  PDF: 1973

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

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

  113-126

  01-11-2007

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

  1412

  PDF: 931
• 

  Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context

  Alexandra Ursache, Seann Regan, Allison De Marco, Dustin T. Duncan, The Family Life Project Key Investigators

  11-03-2021

  https://doi.org/10.4081/gh.2021.926

  2570

  PDF: 938

  HTML: 52

• 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

  1482

  PDF: 945
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  Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

  Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno

  12-09-2023

  https://doi.org/10.4081/gh.2023.1202

  1610

  PDF: 783

  HTML: 102
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  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

  1944

  PDF: 931

  HTML: 59
• 

  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

  2194

  PDF: 959

  HTML: 130
• 

  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

  728

  PDF: 283

  HTML: 29
• 

  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

  1877

  PDF: 841

  HTML: 29
• 

  Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study

  Agustín Gòmez de la Cámara, Eva de Andrés Esteban, Gerard Urrútia Cuchí, Enrique Calderòn Sandubete, Miguel Ángel Rubio Herrera, Miguel Menéndez Orenga, David Lora Pablos

  07-11-2017

  https://doi.org/10.4081/gh.2017.524

  2041

  PDF: 887

  HTML: 689
• 

  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

  9004

  PDF: 4249

  HTML: 2189
• 

  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

  1794

  PDF: 862

  HTML: 138
• 

  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

  1276

  PDF: 394

  HTML: 49

• Retrospective space-time cluster analysis of whooping cough re-emergence in Barcelona, Spain, 2000-2011

  Rubén Solano, Diana Gòmez-Barroso, Fernando Simòn, Sarah Lafuente, Pere Simòn, Cristina Rius, Pilar Gorrindo, Diana Toledo, Joan A. Caylá

  455-461

  01-05-2014

  https://doi.org/10.4081/gh.2014.34

  2365

  PDF: 1042
• 

  Risk areas for hepatitis A, B and C in the municipality of Maringá, Paraná State, Brazil 2007-2010

  Valéria Miranda Avanzi, Udelysses Janete Veltrini Fonzar, Eraldo Schunk Silva, Jorge Juarez Vieira Teixeira, Dennis Armando Bertolini

  08-05-2018

  https://doi.org/10.4081/gh.2018.607

  1875

  PDF: 731

  HTML: 128
• 

  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

  3018

  PDF: 1324

  HTML: 1017
• 

  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

  2491

  PDF: 460

  HTML: 44
• 

  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

  434

  PDF: 121

  Supplementary materials: 37

  HTML: 7
• 

  Vaccine hesitancy in East Malaysia (Sabah): A survey of the national COVID-19 immunisation programme

  Adi Jafar, Mohammad Tahir Mapa, Nordin Sakke, Ramli Dollah, Eko Prayitno Joko, Colonius Atang, Syahruddin Awang Ahmad, Chong Vun Hung, Fionna Geogre

  14-01-2022

  https://doi.org/10.4081/gh.2022.1037

  5763

  PDF: 1015

  HTML: 270

• 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

  1421

  PDF: 756
• 

  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

  1956

  PDF: 824

  HTML: 110

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

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

  127-134

  01-11-2012

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

  2417

  PDF: 1093
• 

  Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

  Tris Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, Kemal N. Siregar, Muhammad Nur Aidi, Dr. Minarto, Diah Mulyawati Utari, Martya Rahmaniati, Harimat Hendarwan

  17-05-2022

  https://doi.org/10.4081/gh.2022.1055

  3388

  PDF: 1963

  HTML: 104

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