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• Geospatial analysis of invasion of the Asian tiger mosquito Aedes albopictus: competition with Aedes japonicus japonicus in its northern limit area in Japan

  Naoko Nihei, Osamu Komagata, Kan-ichiro Mochizuki, Mutsuo Kobayashi

  417-427

  01-05-2014

  https://doi.org/10.4081/gh.2014.30

  2459

  PDF: 986
• 

  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

  2976

  PDF: 1098

  HTML: 1107
• 

  Impact of socio-economic environment and its interaction on the initial spread of COVID-19 in mainland China

  Mao Guo, Lin Yang, Feixue Shen, Lei Zhang, Anqi Li, Yanyan Cai, Chenghu Zhou

  18-03-2022

  https://doi.org/10.4081/gh.2022.1060

  1013

  PDF: 314

  HTML: 24
• 

  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

  2056

  PDF: 867

• 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

  3421

  PDF: 1789

• Visual approaches for strengthening research, science communication and public health impact

  Robert Bergquist, Marcel Tanner

  155-156

  01-05-2012

  https://doi.org/10.4081/gh.2012.131

  1651

  PDF: 971
• 

  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

  1070

  PDF: 484

  Supplementary Materials: 42

  HTML: 10

• Environmental inducers of schistosomiasis mansoni in Campinas, Brazil

  Francisco Anaruma Filho, João Moreno Sant'Ana, Rozely Ferreira dos Santos, Cláudio Luiz Castagna

  79-91

  01-11-2010

  https://doi.org/10.4081/gh.2010.189

  1170

  PDF: 772

• Geographical information systems in health research and services delivery in the Philippines

  Lydia R. Leonardo, Bobby A. Crisostomo, Juan Antonio A. Solon, Pilarita T. Rivera, Alvin B. Marcelo, Jonathan M. Villasper

  147-155

  01-05-2007

  https://doi.org/10.4081/gh.2007.263

  2940

  PDF: 1182
• 

  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

  984

  PDF: 560

  Appendix: 157

  HTML: 38
• 

  Spatial modelling and mapping of teen birth rates in Taiwan in the period 1995-2010

  Ying-Chih Chuang, Ting-Wu Chuang, Hsing Jasming Chao, Kuo-Chien Tseng, Kun-Yang Chuang

  09-11-2018

  https://doi.org/10.4081/gh.2018.700

  1672

  PDF: 813

  HTML: 126
• 

  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

  6879

  PDF: 1701

  HTML: 2071

• Influence of landscape factors and management decisions on spatial and temporal patterns of the transmission of chronic wasting disease in white-tailed deer

  Marilyn O'Hara Ruiz, Amy C. Kelly, William M. Brown, Jan E. Novakofski, Nohra E. Mateus-Pinilla

  215-227

  01-11-2013

  https://doi.org/10.4081/gh.2013.68

  2406

  PDF: 1042

• Mapping and modelling neglected tropical diseases and poverty in Latin America and the Caribbean

  John B. Malone, N. Robert Bergquist

  S1-S5

  01-09-2012

  https://doi.org/10.4081/gh.2012.115

  1628

  PDF: 997
• 

  Vector-borne diseases in a warmer world: Will they stay or will they go?

  Robert Bergquist, Anna-Sofie Stensgaard, Laura Rinaldi

  07-05-2018

  https://doi.org/10.4081/gh.2018.699

  2440

  PDF: 1092

  HTML: 210
• 

  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

  4069

  PDF: 1077

  HTML: 1196

• 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

  1534

  PDF: 857

• Coarse-scale spatial and ecological analysis of tuberculosis in cattle: an investigation in Jalisco, Mexico

  Horacio Zendejas-Martínez, A. Townsend Peterson, Feliciano Milián-Suazo

  29-38

  01-11-2008

  https://doi.org/10.4081/gh.2008.229

  1151

  PDF: 655
• 

  Sociodemographic and spatiotemporal profiles of hepatitis-A in the state of Pará, Brazil, based on reported notified cases

  Philipe Riskalla Leal, Ricardo José de Paula e Sousa Guimarães, Milton Kampel

  03-11-2021

  https://doi.org/10.4081/gh.2021.981

  1921

  PDF: 507

  HTML: 65

• Bayesian modelling of geostatistical malaria risk data

  L. Gosoniu, P. Vounatsou, N. Sogoba, T. Smith

  127-139

  01-11-2006

  https://doi.org/10.4081/gh.2006.287

  8408

  PDF: 1519
• 

  Impacts of Physical Environment Perception on the Frailty Condition in Older People

  Carlos Mena, Yony Ormazabal, Eduardo Fuentes, Iván Palomo

  18-06-2020

  https://doi.org/10.4081/gh.2020.888

  1835

  PDF: 935

  HTML: 43

• Health impact assessment of industrial development projects: a spatio-temporal visualization

  Mirko S. Winkler, Gary R. Krieger, Mark J. Divall, Burton H. Singer, Jürg Utzinger

  299-301

  01-05-2012

  https://doi.org/10.4081/gh.2012.148

  2834

  PDF: 1099

  Video: 0

• Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA)

  Benjamin G. Jacob, Weidong Gu, Erik X. Caamano, Robert J. Novak

  157-176

  01-05-2009

  https://doi.org/10.4081/gh.2009.218

  1322

  PDF: 788

• Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems

  Vincent Martin, Lorenzo De Simone, Juan Lubroth, Pietro Ceccato, Véronique Chevalier

  3-14

  01-11-2007

  https://doi.org/10.4081/gh.2007.250

  1617

  PDF: 854

• 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

  665

  PDF: 247

  HTML: 72
• 

  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: 1020

  HTML: 251

• A spatial analysis of private well water Escherichia coli contamination in southern Ontario

  Julia Krolik, Allison Maier, Gerald Evans, Paul Belanger, Geoffrey Hall, Alan Joyce, Anna Majury

  65-75

  01-11-2013

  https://doi.org/10.4081/gh.2013.55

  2071

  PDF: 1125

• Low-altitude outbreaks of human fascioliasis related with summer rainfall in Gilan province, Iran

  Abdoreza Salahi-Moghaddam, Majid Habibi-Nokhandam, Márius V. Fuentes

  133-136

  01-11-2011

  https://doi.org/10.4081/gh.2011.165

  1351

  PDF: 716
• 

  Development of a hexagonal, mesh-based distribution method for community health centres

  Yinan Zhou, Ge Bai, Li Luo

  09-11-2018

  https://doi.org/10.4081/gh.2018.648

  1754

  PDF: 745

  HTML: 40

• Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

  Weerapong Thanapongtharm, Thomas P. Van Boeckel, Chandrashekhar Biradar, Xiangming Xiao, Marius Gilbert

  193-201

  01-11-2013

  https://doi.org/10.4081/gh.2013.66

  1573

  PDF: 984
• 

  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

  1775

  PDF: 798

  HTML: 30

• 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

  1772

  PDF: 975

• Towards assessing fine-scale indicators for the spatial transmission risk of Fasciola hepatica in cattle

  Johannes Charlier, Sita Carolien Bennema, Yannick Caron, Michel Counotte, Els Ducheyne, Guy Hendrickx, Jozef Vercruysse

  239-245

  01-05-2011

  https://doi.org/10.4081/gh.2011.176

  2465

  PDF: 1402

• The use of a vest equipped with a global positioning system to assess water-contact patterns associated with schistosomiasis

  Edmund Y.W. Seto, Freyja Knapp, Bo Zhong, Changhong Yang

  233-241

  01-05-2007

  https://doi.org/10.4081/gh.2007.271

  2221

  PDF: 762
• 

  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

  981

  PDF: 397

  HTML: 14

• Modelling spatial distribution of snails transmitting parasitic worms with importance to human and animal health and analysis of distributional changes in relation to climate

  Ulrik B. Pedersen, Nicholas Midzi, Takafira Mduluza, White Soko, Anna-Sofie Stensgaard, Birgitte J. Vennervald, Samson Mukaratirwa, Thomas K. Kristensen

  335-343

  01-05-2014

  https://doi.org/10.4081/gh.2014.23

  3926

  PDF: 1670

• Neurological disability in leprosy: incidence and gender association in Sergipe, Brazil

  Daniela Teles de Oliveira, Marília Matos Bezerra, José Antônio Pacheco de Almeida, Malcolm Duthie, Steven Reed, Amelia Ribeiro de Jesus

  S125-S129

  01-09-2012

  https://doi.org/10.4081/gh.2012.130

  1348

  PDF: 731
• 

  COVID-19, air quality and space monitoring

  Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak

  06-04-2022

  https://doi.org/10.4081/gh.2022.1052

  1409

  PDF: 385

  HTML: 19

• Climatic factors associated with amyotrophic lateral sclerosis: a spatial analysis from Taiwan

  Ching-Piao Tsai, Charles Tzu-Chi Lee

  45-52

  01-11-2013

  https://doi.org/10.4081/gh.2013.53

  1555

  PDF: 889

• Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

  Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné

  28-08-2024

  https://doi.org/10.4081/gh.2024.1285

  1038

  PDF: 458

  HTML: 90
• 

  Dispersal of harmful fruit fly pests by international trade and a loop-mediated isothermal amplification assay to prevent their introduction

  Simon Blaser, Cornelia Heusser, Hanspeter Diem, Andreas von Felten, Morgan Gueuning, Michael Andreou, Neil Boonham, Jennifer Tomlinson, Pie Müller, Jürg Utzinger, Jürg E. Frey, Beatrice Frey, Andreas Bühlmann

  12-11-2018

  https://doi.org/10.4081/gh.2018.726

  1762

  PDF: 723

  Video: 120

  HTML: 116
• 

  Population-level alcohol consumption and suicide mortality rate in South Korea: An application of multivariable spatial regression model

  Yunho Yeom

  14-05-2019

  https://doi.org/10.4081/gh.2019.746

  1501

  PDF: 855

  HTML: 36

• 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

  4961

  PDF: 1796
• 

  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

  1718

  PDF: 623

  Supplementary Materials: 61

  HTML: 33
• 

  Geospatial modelling to estimate the territory at risk of establishment of influenza type A in Mexico - An ecological study

  Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Verònica Gallegos-García, Claudia Elena González-Acevedo, Thuluz Meza-Menchaca, María Judith Rios-Lugo, Héctor Hernández-Mendoza

  14-05-2021

  https://doi.org/10.4081/gh.2021.956

  1766

  PDF: 484

  HTML: 25
• 

  Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale

  Yubing Qu, Xun Shi, Yong Wang, Rendong Li, Liang Lu, Qiyong Liu

  09-11-2018

  https://doi.org/10.4081/gh.2018.682

  3047

  PDF: 1320

  HTML: 151

• Analysis of the El Niño/La Niña-Southern Oscillation variability and malaria in the Estado Sucre, Venezuela

  Laura Delgado-Petrocelli, Karenia Còrdova, Alberto Camardiel, Víctor H. Aguilar, Denise Hernández, Santiago Ramos

  S51-S57

  01-09-2012

  https://doi.org/10.4081/gh.2012.122

  2453

  PDF: 909

• Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys

  Xiao-Hua Wu, Xian-Hong Wang, Jürg Utzinger, Kun Yang, Thomas K. Kristensen, Robert Bergquist, Gen-Ming Zhao, Hui Dang, Xiao-Nong Zhou

  75-84

  01-11-2007

  https://doi.org/10.4081/gh.2007.256

  2191

  PDF: 777
• 

  Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

  Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

  06-05-2022

  https://doi.org/10.4081/gh.2022.1033

  1452

  PDF: 667

  Appendix: 90

  HTML: 30

• The acquired immunodeficiency syndrome in the State of Rio de Janeiro, Brazil: a spatio-temporal analysis of cases reported in the period 2001-2010

  André T. J. Alves, Flávio F. Nobre

  437-443

  01-05-2014

  https://doi.org/10.4081/gh.2014.32

  1643

  PDF: 855
• 

  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

  740

  PDF: 634

  HTML: 14
• 

  Modelling count data with an excess of zero values applied to childhood bone tumour incidence in Iraq

  Muzahem Mohammed Al-Hashimi, Hasmek Antranik Warttan

  12-03-2021

  https://doi.org/10.4081/gh.2021.873

  1840

  PDF: 511

  HTML: 116
• 

  The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

  Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

  08-05-2018

  https://doi.org/10.4081/gh.2018.623

  2636

  PDF: 1177

  HTML: 496
• 

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

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

  25-11-2016

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

  2684

  PDF: 1065

  HTML: 1597
• 

  Monitoring techniques in the capture and adoption of dogs and cats

  Jason Onell Ardila Galvis, Oswaldo Santos Baquero, Ricardo Augusto Dias, Fernando Ferreira, Evelyn Nestori Chiozzotto, José Henrique Hildebrand Grisi-Filho

  04-11-2015

  https://doi.org/10.4081/gh.2015.339

  3863

  PDF: 1577

  HTML: 1464
• 

  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

  916

  PDF: 400

  Appendix: 84

  HTML: 17
• 

  Changes in geographic clustering of post-traumatic stress disorder and post-traumatic growth seven years after an earthquake in Cauquenes, Chile

  Marcelo Leiva-Bianchi, Carlos Mena, Yony Ormazábal, Carlos Serrano, Pedro Rojas

  26-11-2020

  https://doi.org/10.4081/gh.2020.886

  2118

  PDF: 681

  HTML: 6
• 

  Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

  Roseane Campos, Márcio Santos, Gabriel Tunon, Luana Cunha, Lucas Magalhães, Juliana Moraes, Danielle Ramalho, Sanmy Lima, José Antônio Pacheco, Michael Lipscomb, Amélia Ribeiro de Jesus, Roque Pacheco de Almeida

  11-05-2017

  https://doi.org/10.4081/gh.2017.503

  4776

  PDF: 1827

  HTML: 1136
• 

  Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

  Kabeya Clement Mulamba

  12-05-2025

  https://doi.org/10.4081/gh.2025.1340

  304

  PDF: 50
• 

  Pathways to urban health and well-being: measuring and modelling of community services in a medium size city

  Clémence Vannier, Malcolm Campbell, Simon Kingham

  19-06-2020

  https://doi.org/10.4081/gh.2020.808

  1369

  PDF: 763

  Appendix: 121

  HTML: 8
• 

  Spatial and temporal characteristics of cancer in the period from 2004 to 2013 in the Hashemite Kingdom of Jordan

  Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Juhina J. Thnaibat, Omar F. Nimri

  09-11-2018

  https://doi.org/10.4081/gh.2018.695

  1565

  PDF: 701

  HTML: 35
• 

  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

  1479

  PDF: 548

  HTML: 22
• 

  Development of a web-geographical information system application for plotting tuberculosis cases

  Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim

  19-10-2021

  https://doi.org/10.4081/gh.2021.980

  1558

  PDF: 739

  HTML: 156
• 

  Spatiotemporal mapping and detection of mortality cluster due to cardiovascular disease with Bayesian hierarchical framework using integrated nested Laplace approximation: A discussion of suitable statistic applications in Kersa, Oromia, Ethiopia

  Melkamu Dedefo, Henry Mwambi, Sileshi Fanta, Nega Assefa

  12-11-2018

  https://doi.org/10.4081/gh.2018.681

  1848

  PDF: 937

  HTML: 197
• 

  Role of transport network accessibility in the spread of COVID-19 - a case study in Savar Upazila, Bangladesh

  Khandakar Hasan Mahmud, Bibi Hafsa, Raju Ahmed

  11-03-2021

  https://doi.org/10.4081/gh.2021.954

  2123

  PDF: 687

  Appendix: 121

  HTML: 143
• 

  Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

  Amare Sewnet Minale, Kalkidan Alemu

  07-05-2018

  https://doi.org/10.4081/gh.2018.660

  6631

  PDF: 2140

  HTML: 1132
• 

  A Google Earth-based database management for schistosomiasis control in Zanzibar

  Ming-Zhen He, Wei Li, Saleh Juma, Fatma Kabole, Da-Cheng Xu, Xin-Yao Wang, Jian He, Tao Jiang, Robert Bergquist, Kun Yang

  14-05-2019

  https://doi.org/10.4081/gh.2019.740

  2031

  PDF: 875

  HTML: 84
• 

  American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

  Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, Afrânio Lima Carvalho

  18-05-2015

  https://doi.org/10.4081/gh.2015.314

  2688

  PDF: 1312

  HTML: 810
• 

  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

  310

  PDF: 55

• 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

  1608

  PDF: 488

  HTML: 137
• 

  Analysing spatial and temporal dynamics of suicide in South Korea: An application of the dynamic spatial panel data model

  Yunho Yeom

  05-05-2021

  https://doi.org/10.4081/gh.2021.964

  2042

  PDF: 833

  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

  1648

  PDF: 706

  HTML: 24
• 

  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

  1230

  PDF: 856

  Appendix: 69

  HTML: 158
• 

  Bayesian conditional autoregressive models to assess spatial patterns of diarrhoea risk among children under the age of 5 years in Mbour, Senegal

  Sokhna Thiam, Guéladio Cissé, Anna-Sofie Stensgaard, Aminata Niang-Diène, Jürg Utzinger, Penelope Vounatsou

  06-11-2019

  https://doi.org/10.4081/gh.2019.823

  1420

  PDF: 720

  APPENDIX: 207

  HTML: 32
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  Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

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