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  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

  1424

  PDF: 859

  HTML: 127
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  Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017

  Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian

  07-01-2021

  https://doi.org/10.4081/gh.2020.860

  3075

  PDF: 1027

  HTML: 23
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  Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

  Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge

  25-11-2024

  https://doi.org/10.4081/gh.2024.1243

  1216

  PDF: 434

  HTML: 104
• 

  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

  4007

  PDF: 1424

  HTML: 256

• Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

  Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari

  03-09-2024

  https://doi.org/10.4081/gh.2024.1318

  1359

  PDF: 617

  HTML: 97
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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

  2433

  PDF: 812

  HTML: 115
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  Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data

  Soheil Hashtarkhani, Stephen A. Matthews, Ping Yin, Alireza Mohammadi, Shahab Mohammad Ebrahimi, Mahmood Tara, Behzad Kiani

  20-07-2023

  https://doi.org/10.4081/gh.2023.1198

  2605

  PDF: 791

  Supplementary Materials: 144

  HTML: 110
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  Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

  Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto

  15-06-2022

  https://doi.org/10.4081/gh.2022.1069

  1031

  PDF: 474

  HTML: 51
• 

  The spatial distribution of injuries in need of surgical intervention in Nepal

  Shailvi Gupta, Thomas A. Groen, Barclay T. Stewart, Sunil Shrestha, David A. Spiegel, Benedict C. Nwomeh, Reinou S. Groen, Adam L. Kushner

  31-05-2016

  https://doi.org/10.4081/gh.2016.359

  3400

  PDF: 1206

  HTML: 1103
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  Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

  Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto

  16-11-2016

  https://doi.org/10.4081/gh.2016.443

  3944

  PDF: 1800

  HTML: 1384
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  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

  779

  PDF: 551

  HTML: 10
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  Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

  Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen

  10-12-2020

  https://doi.org/10.4081/gh.2020.913

  3499

  PDF: 1285

  HTML: 150
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  Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

  Ei Sandar U, Wongsa Laohasiriwong, Kittipong Sornlorm

  25-05-2023

  https://doi.org/10.4081/gh.2023.1183

  1304

  PDF: 762

  Supplementary Materials: 108

  HTML: 32
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  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

  1415

  PDF: 986

  Appendix: 114

  HTML: 175
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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

  1408

  PDF: 759

  Appendix: 126

  HTML: 59
• 

  Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

  Jishuo Zhang, Meifang Li

  29-11-2022

  https://doi.org/10.4081/gh.2022.1123

  933

  PDF: 709

  HTML: 62
• 

  Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

  Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ângela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus

  18-05-2015

  https://doi.org/10.4081/gh.2015.303

  4633

  PDF: 1876

  HTML: 1080
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  Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

  Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill

  05-07-2023

  https://doi.org/10.4081/gh.2023.1189

  1556

  PDF: 807

  HTML: 59
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  Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

  Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar

  30-11-2022

  https://doi.org/10.4081/gh.2022.1097

  2080

  PDF: 816

  HTML: 115

• A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control

  Wang Fei, Lv Jiamin, Wang Chunting, Li Yuling, Xi Yuetuing

  26-09-2024

  https://doi.org/10.4081/gh.2024.1281

  1000

  PDF: 368

  HTML: 76
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  Spatial clustering of colorectal cancer in Malaysia

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

  25-05-2023

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

  1402

  PDF: 640

  HTML: 11
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  Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

  Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou

  03-06-2015

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

  4029

  PDF: 1685

  HTML: 1742

• Defining health catchment areas in Jeddah city, Saudi Arabia: an example demonstrating the utility of geographical information systems

  Abdulkader A. Murad

  151-160

  01-05-2008

  https://doi.org/10.4081/gh.2008.239

  1906

  PDF: 1139
• 

  The impact of geographic mobility on the spread of COVID-19 in Hong Kong

  Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai

  14-02-2022

  https://doi.org/10.4081/gh.2022.1022

  2928

  PDF: 483

  HTML: 118
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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

  2472

  PDF: 452

  HTML: 44
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  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

  2247

  PDF: 787

  HTML: 6
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  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

  2868

  PDF: 1197

  HTML: 1609
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  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

  5737

  PDF: 997

  HTML: 267
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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

  3148

  PDF: 1080

  HTML: 68
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  Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

  Guillermo Albrieu-Llinás, Manuel O. Espinosa, Agustín Quaglia, Marcelo Abril, Carlos Marcelo Scavuzzo

  07-05-2018

  https://doi.org/10.4081/gh.2018.654

  2838

  PDF: 1277

  HTML: 190
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  Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

  Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard

  04-11-2015

  https://doi.org/10.4081/gh.2015.336

  2461

  PDF: 1073

  HTML: 1104
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  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

  1418

  PDF: 557

  HTML: 16
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  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

  4226

  PDF: 1172

  HTML: 1198
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  Design and implementation of a spatial database for analysis of wheelchair accessibility

  Peter Nezval, Takeshi Shirabe

  24-03-2025

  https://doi.org/10.4081/gh.2025.1324

  1478

  PDF: 358

  HTML: 92
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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

  1334

  PDF: 430

  HTML: 32
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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

  1261

  PDF: 387

  HTML: 48

• Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

  Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov

  31-07-2024

  https://doi.org/10.4081/gh.2024.1290

  1405

  PDF: 616

  HTML: 107
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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

  3741

  PDF: 1501

  HTML: 85
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  A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

  Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass

  08-11-2017

  https://doi.org/10.4081/gh.2017.588

  2766

  PDF: 1240

  HTML: 1001
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  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

  2284

  PDF: 656

  HTML: 888
• 

  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

  7176

  PDF: 1462
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  Planning and location of health care services in Jeddah City, Saudi Arabia: Discussion of the constructive use of geographical information systems

  Abdulkader Murad

  09-11-2018

  https://doi.org/10.4081/gh.2018.728

  1920

  PDF: 1056

  HTML: 276

• Planning for Rift Valley fever virus: use of geographical information systems to estimate the human health threat of white-tailed deer (Odocoileus virginianus)-related transmission

  Sravan Kakani, A. Desirée LaBeaud, Charles H. King

  33-43

  01-11-2010

  https://doi.org/10.4081/gh.2010.185

  1384

  PDF: 895

• Geospatial epidemiology of coronary artery disease treated with percutaneous coronary intervention in Crete, Greece

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

  16-05-2024

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

  2196

  PDF: 513

  HTML: 50
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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

  1177

  PDF: 476

  HTML: 11

• Contacts between poultry farms, their spatial dimension and their relevance for avian influenza preparedness

  Lena Fiebig, Timo Smieszek, Jennifer Saurina, Jan Hattendorf, Jakob Zinsstag

  79-95

  01-11-2009

  https://doi.org/10.4081/gh.2009.212

  1790

  PDF: 837
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  A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

  Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia

  18-07-2025

  https://doi.org/10.4081/gh.2025.1379

  579

  PDF: 282

  HTML: 22
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  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

  3981

  PDF: 1708

  HTML: 1467
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  Spatial accessibility to health care services among children with cerebral palsy in Johor, Peninsular Malaysia

  Mohd Azmeer Abu Bakar, Narimah Samat, Nik Soriani Yaacob

  19-10-2021

  https://doi.org/10.4081/gh.2021.987

  2368

  PDF: 864

  HTML: 214
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  Use of geographic information system as a tool for schistosomiasis surveillance in an endemic Municipality in Eastern Samar, The Philippines

  Vicente Y. Belizario, Jr., John Paul Caesar R. delos Trinos, Nestor Lentejas, Allen J. Alonte, Agnes N. Cuayzon, Marian E. Isiderio, Rodel Delgado, Marilou Tejero, Victorio B. Molina

  14-05-2021

  https://doi.org/10.4081/gh.2021.957

  5048

  PDF: 1703

  HTML: 433

• Environmental and socio-economic risk modelling for Chagas disease in Bolivia

  Paula Mischler, Michael Kearney, Jennifer C. McCarroll, Ronaldo G.C. Scholte, Penelope Vounatsou, John B. Malone

  S59-S66

  01-09-2012

  https://doi.org/10.4081/gh.2012.123

  3541

  PDF: 1229
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  A spatiotemporal analysis of COVID-19 transmission in Jakarta, Indonesia for pandemic decision support

  Agung Syetiawan, Mira Harimurti, Yosef Prihanto

  14-01-2022

  https://doi.org/10.4081/gh.2022.1042

  3809

  PDF: 545

  HTML: 91