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  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

  2290

  PDF: 343

  HTML: 43
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  Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina

  Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla

  06-11-2017

  https://doi.org/10.4081/gh.2017.564

  3098

  PDF: 1149

  HTML: 850

• Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

  Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou

  355-366

  01-05-2013

  https://doi.org/10.4081/gh.2013.92

  4958

  PDF: 1796

• Risk mapping of dengue in Selangor and Kuala Lumpur, Malaysia

  Hafiz Hassan, Shamarina Shohaimi, Nor R. Hashim

  21-25

  01-11-2012

  https://doi.org/10.4081/gh.2012.101

  6359

  PDF: 3189
• 

  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

  855

  PDF: 419

  HTML: 7
• 

  Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

  Nicola A. Wardrop, Matthew Geary, Patrick E. Osborne, Peter M. Atkinson

  237-246

  01-11-2014

  https://doi.org/10.4081/gh.2014.397

  2054

  PDF: 864

• Mapping brucellosis risk in communities in the Republic of Armenia

  Thibaud Porphyre, Ronald Jackson, Carola Sauter-Louis, David Ward, Grigor Baghyan, Edik Stepanyan

  103-118

  01-11-2010

  https://doi.org/10.4081/gh.2010.191

  1732

  PDF: 946
• 

  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

  3794

  PDF: 1452

  APPENDIX 1: 401

  APPENDIX 2: 387

  HTML: 1637

• 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

  01-05-2010

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

  1530

  PDF: 865
• 

  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

  1852

  PDF: 447

  Supplementary 1: 71

  Supplementary 2: 218

  HTML: 140
• 

  Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

  Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Ahad Bazmani

  179-191

  01-11-2014

  https://doi.org/10.4081/gh.2014.15

  7045

  PDF: 1373

• Mapping of zones potentially occupied by Aedes vexans and Culex poicilipes mosquitoes, the main vectors of Rift Valley fever in Senegal

  Yves M. Tourre, Jean-Pierre Lacaux, Cecile Vignolles, Jacques-André Ndione, Murielle Lafaye

  69-79

  01-11-2008

  https://doi.org/10.4081/gh.2008.233

  1253

  PDF: 714
• 

  Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

  Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran

  26-11-2015

  https://doi.org/10.4081/gh.2015.376

  3453

  PDF: 1962

  HTML: 1261
• 

  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

  2462

  PDF: 900

  HTML: 40

• TerraSAR-X high-resolution radar remote sensing: an operational warning system for Rift Valley fever risk

  Cécile Vignolles, Yves M. Tourre, Oscar Mora, Laurent Imanache, Murielle Lafaye

  23-31

  01-11-2010

  https://doi.org/10.4081/gh.2010.184

  1261

  PDF: 763
• 

  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

  1068

  PDF: 484

  Supplementary Materials: 42

  HTML: 10
• 

  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

  2125

  PDF: 879

  HTML: 127

• Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach

  Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira

  33-40

  01-11-2011

  https://doi.org/10.4081/gh.2011.155

  1555

  PDF: 858
• 

  The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

  Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang

  13-09-2023

  https://doi.org/10.4081/gh.2023.1197

  979

  PDF: 397

  HTML: 14
• 

  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

  2197

  PDF: 1137

  HTML: 202
• 

  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

  1184

  PDF: 533

  HTML: 36
• 

  Satellite imagery technology in public health: analysis of site catchment areas for assessment of poliovirus circulation in Nigeria and Niger

  Marina Takane, Shizu Yabe, Yumiko Tateshita, Yusuke Kobayashi, Akihiko Hino, Kazuo Isono, Hiromasa Okayasu, Ousmane M. Diop, Takeo Tadono

  21-11-2016

  https://doi.org/10.4081/gh.2016.462

  2424

  PDF: 1350

  HTML: 1141
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  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

  591

  PDF: 156

  Supplementary materials: 61

  HTML: 54
• 

  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

  862

  PDF: 453

  HTML: 128
• 

  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

  1908

  PDF: 1419

  APPENDIX: 523

  HTML: 1032
• 

  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

  3531

  PDF: 1106

  HTML: 18

• Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022

  Tan Luong, Minh Hieu Tran, Ba Uyen Pham, Morgan C. Metrailer, Van Khang Pham, Hoai Linh Nguyen, Thanh Long Pham, Thi Mai Hung Tran, Quang Thai Pham, Thi Thu Ha Hoang, Jason K. Blackburn

  15-04-2024

  https://doi.org/10.4081/gh.2024.1253

  1931

  PDF: 544

  Supplementary Materials: 81

  HTML: 50
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  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

  3194

  PDF: 1059

  HTML: 1063

• Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

  Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg

  29-10-2024

  https://doi.org/10.4081/gh.2024.1284

  5776

  PDF: 479

  Supplementary Materials: 146

  HTML: 85
• 

  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

  1468

  PDF: 758

  Supplementary Materials: 67

  HTML: 19
• 

  Prehistoric human migrations: a prospective subject for modelling using geographical information systems

  Robert Bergquist

  25-05-2023

  https://doi.org/10.4081/gh.2023.1210

  1141

  PDF: 366

  HTML: 24
• 

  Understanding needs and barriers to using geospatial tools for public health policymaking in China

  Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee

  07-05-2018

  https://doi.org/10.4081/gh.2018.594

  1644

  PDF: 783

  HTML: 286
• 

  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

  3667

  PDF: 1237

  HTML: 1130
• 

  A dynamic, climate-driven model of Rift Valley fever

  Joseph Leedale, Anne E. Jones, Cyril Caminade, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.394

  4192

  PDF: 1601

  Appendix: 474

  HTML: 1576
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  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

  2910

  PDF: 943

  HTML: 68
• 

  Does the Geohealth domain require a body of knowledge?

  Ellen-Wien Augustijn-Beckers, Sherif Amer, Rob Lemmens, Robert Bergquist

  29-11-2022

  https://doi.org/10.4081/gh.2022.1171

  1478

  PDF: 548

  HTML: 22
• 

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

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

  27-01-2025

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

  3342

  PDF: 1220

  HTML: 223
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  The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

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

  06-11-2017

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

  6877

  PDF: 1700

  HTML: 2071
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  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

  966

  PDF: 286

  HTML: 40
• 

  Spatial analysis and risk mapping of Fasciola hepatica infection in dairy herds in Ireland

  Nikolaos Selemetas, Els Ducheyne, Paul Phelan, Padraig O'Kiely, Guy Hendrickx, Theo de Waal

  281-291

  19-03-2015

  https://doi.org/10.4081/gh.2015.350

  3893

  PDF: 1750

• 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

  1091

  PDF: 379

  HTML: 82
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  Shrinking risk profiles after deworming of children in Port Elizabeth, South Africa, with special reference to Ascaris lumbricoides and Trichuris trichiura

  Ivan Müller, Stefanie Gall, Lindsey Beyleveld, Markus Gerber, Uwe Pühse, Rosa du Randt, Peter Steinmann, Leyli Zondie, Cheryl Walter, Jürg Utzinger

  27-11-2017

  https://doi.org/10.4081/gh.2017.601

  2959

  PDF: 640

  VIDEO: 0

  HTML: 668
• 

  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

  954

  PDF: 480

  HTML: 43
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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

  5868

  PDF: 2059

  Appendix: 534

  HTML: 3232

  Appendix: 185
• 

  First year with COVID-19: Assessment and prospects

  Robert Bergquist, Behzad Kiani, Samuel Manda

  26-11-2020

  https://doi.org/10.4081/gh.2020.953

  2634

  PDF: 654

  HTML: 5
• 

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

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

  07-05-2018

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

  4139

  PDF: 1019

  HTML: 251
• 

  Validation of an interactive map assessing the potential spread of Galba truncatula as intermediate host of Fasciola hepatica in Switzerland

  Rhea Baggenstos, Tobias Dahinden, Paul R. Torgerson, Hansruedi Bär, Christina Rapsch, Gabriela Knubben-Schweizer

  31-05-2016

  https://doi.org/10.4081/gh.2016.418

  1959

  PDF: 908

  HTML: 1002

• Modelling spatial concordance between Rocky Mountain spotted fever disease incidence and habitat probability of its vector Dermacentor variabilis (American dog tick)

  Samuel F. Atkinson, Sahotra Sarkar, Aldo Aviña, Jim A. Schuermann, Phillip Williamson

  91-100

  01-11-2012

  https://doi.org/10.4081/gh.2012.108

  1728

  PDF: 1017

• Bayesian risk maps for Schistosoma mansoni and hookworm mono-infections in a setting where both parasites co-exist

  Giovanna Raso, Penelope Vounatsou, Donald P. McManus, Jürg Utzinger

  85-96

  01-11-2007

  https://doi.org/10.4081/gh.2007.257

  2246

  PDF: 737
• 

  Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change

  Cristian Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana

  18-05-2022

  https://doi.org/10.4081/gh.2022.1045

  1687

  PDF: 742

  HTML: 42

• Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters

  Muhammad Shahzad Sarfraz, Nagesh K. Tripathi, Fazlay S. Faruque, Usama Ijaz Bajwa, Asanobu Kitamoto, Marc Souris

  S685-S697

  01-12-2014

  https://doi.org/10.4081/gh.2014.297

  10348

  PDF: 2437

• A spatial decision support system for guiding focal indoor residual spraying interventions in a malaria elimination zone

  Gerard C. Kelly, Chang Moh Seng, Wesley Donald, George Taleo, Johnny Nausien, Willie Batarii, Harry Iata, Marcel Tanner, Lasse S. Vestergaard, Archie C. A. Clements

  21-31

  01-11-2011

  https://doi.org/10.4081/gh.2011.154

  2916

  PDF: 1044
• 

  Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

  Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos

  29-11-2022

  https://doi.org/10.4081/gh.2022.1128

  1942

  PDF: 1237

  HTML: 170
• 

  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

  2464

  PDF: 644

  HTML: 830

• Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

  Ronaldo G. C. Scholte, Nadine Schur, Maria E. Bavia, Edgar M. Carvalho, Frédérique Chammartin, Jürg Utzinger, Penelope Vounatsou

  97-110

  01-11-2013

  https://doi.org/10.4081/gh.2013.58

  3420

  PDF: 1787

• Intestinal schistosomiasis and soil-transmitted helminthiasis in Ugandan schoolchildren: a rapid mapping assessment

  Claire J. Standley, Moses Adriko, Moses Alinaitwe, Francis Kazibwe, Narcis B. Kabatereine, J. Russell Stothard

  39-53

  01-11-2009

  https://doi.org/10.4081/gh.2009.209

  2667

  PDF: 1090
• 

  There is more to satellite imagery than meets the eye

  Robert Bergquist, John B. Malone

  31-05-2022

  https://doi.org/10.4081/gh.2022.1106

  2207

  PDF: 432

  HTML: 19
• 

  Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil

  Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo

  27-11-2017

  https://doi.org/10.4081/gh.2017.570

  2862

  PDF: 755

  HTML: 859
• 

  Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

  Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam

  07-05-2018

  https://doi.org/10.4081/gh.2018.613

  1994

  PDF: 1065

  HTML: 309

• Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

  Mohamadreza Rajabi, Ali Mansourian, Ahad Bazmani

  37-50

  01-11-2012

  https://doi.org/10.4081/gh.2012.103

  1533

  PDF: 857

• Spatial risk profiling of Schistosoma japonicum in Eryuan county, Yunnan province, China

  Peter Steinmann, Xiao-Nong Zhou, Barbara Matthys, Yuan-Lin Li, Hong-Jun Li, Shao-Rong Chen, Zhong Yang, Weng Fan, Tie-Wu Jia, Lan-Hua Li, Penelope Vounatsou, Jürg Utzinger

  59-73

  01-11-2007

  https://doi.org/10.4081/gh.2007.255

  2290

  PDF: 736

• Geospatial Health: achievements, innovations, priorities

  Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla

  25-10-2024

  https://doi.org/10.4081/gh.2024.1355

  1461

  PDF: 454

  HTML: 95
• 

  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

  1354

  PDF: 479

  HTML: 11

• Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

  Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer

  227-237

  01-05-2011

  https://doi.org/10.4081/gh.2011.175

  1204

  PDF: 819

• 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

  2238

  PDF: 1135

• Evaluating web-based static, animated and interactive maps for injury prevention

  Jonathan Cinnamon, Claus Rinner, Michael D. Cusimano, Sean Marshall, Tsegaye Bekele, Tony Hernandez, Richard H. Glazier, Mary L. Chipman

  3-16

  01-11-2009

  https://doi.org/10.4081/gh.2009.206

  2555

  PDF: 1094

• Divergent spatial patterns in the prevalence of the human immunodeficiency virus (HIV) and syphilis in South African pregnant women

  Samuel O.M. Manda, Carl J. Lombard, Thabang Mosala

  221-231

  01-05-2012

  https://doi.org/10.4081/gh.2012.140

  1593

  PDF: 1074

• Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China

  Guo-Jing Yang, Penelope Vounatsou, Marcel Tanner, Xiao-Nong Zhou, Jürg Utzinger

  85-92

  01-11-2006

  https://doi.org/10.4081/gh.2006.283

  2238

  PDF: 933

• Temporal and spatial mapping of hand, foot and mouth disease in Sarawak, Malaysia

  Noraishah M. Sham, Isthrinayagy Krishnarajah, Noor Akma Ibrahim, Munn-Sann Lye

  503-507

  01-05-2014

  https://doi.org/10.4081/gh.2014.39

  2868

  PDF: 1265

• A geographical information system-based analysis of cancer mortality and population exposure to coal mining activities in West Virginia, United States of America

  Michael Hendryx, Evan Fedorko, Andrew Anesetti-Rothermel

  243-256

  01-05-2010

  https://doi.org/10.4081/gh.2010.204

  3435

  PDF: 1651
• 

  Application of geospatial information systems (GIS) for assessment of the distribution of periodontal disease in Makassar City, South Sulawesi Province, Indonesia

  Fuad Husain Akbar, Nur Amaliyah Riyadh

  07-11-2023

  https://doi.org/10.4081/gh.2023.1240

  1256

  PDF: 413

  HTML: 9
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  Detection of spatial aggregation of cases of cancer from data on patients and health centres contained in the Minimum Basic Data Set

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