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  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

  2998

  PDF: 1119

  HTML: 73

• SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments

  Desmond H. Foley, Richard C. Wilkerson, L. Lynnette Dornak, David B. Pecor, Arpad S. Nyari, Leopoldo M. Rueda, Lewis S. Long, Jason H. Richardson

  S25-S30

  01-09-2012

  https://doi.org/10.4081/gh.2012.119

  2393

  PDF: 1101

• 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

  1915

  PDF: 1188

• 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

  1424

  PDF: 1018

• Using climate information for improved health in Africa: relevance, constraints and opportunities

  Stephen J. Connor, Pietro Ceccato, Tufa Dinku, Judy Omumbo, Emily K. Grover-Kopec, Madeleine C. Thomson

  17-31

  01-11-2006

  https://doi.org/10.4081/gh.2006.278

  1493

  PDF: 860
• 

  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

  3161

  PDF: 1236

  HTML: 1083

• Transmissibility of the highly pathogenic avian influenza virus, subtype H5N1 in domestic poultry: a spatio-temporal estimation at the global scale

  Zhijie Zhang, Dongmei Chen, Michael P. Ward, Qingwu Jiang

  135-143

  01-11-2012

  https://doi.org/10.4081/gh.2012.112

  1660

  PDF: 984

• Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases

  Anna-Sofie Stensgaard, Christopher F.L. Saarnak, Jürg Utzinger, Penelope Vounatsou, Christopher Simoonga, Gabriel Mushinge, Carsten Rahbek, Flemming Møhlenberg, Thomas K. Kristensen

  127-141

  01-05-2009

  https://doi.org/10.4081/gh.2009.216

  2348

  PDF: 1831
• 

  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

  5549

  PDF: 1897

  HTML: 495
• 

  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

  2065

  PDF: 890

  Supplementary Materials: 157

  HTML: 60
• 

  Urbanisation and its effect on risk factors associated with childhood diarrhoea in Mbour, Senegal: A visualisation

  Sokhna Thiam, Samuel Fuhrimann, Aminata Niang-Diène, Ibrahima Sy, Ousmane Faye, Jürg Utzinger, Guéladio Cissé

  27-11-2017

  https://doi.org/10.4081/gh.2017.632

  2537

  PDF: 1005

  VIDEO: 0

  HTML: 879

• The effects of the Health Insurance Portability and Accountability Act privacy rule on influenza research using geographical information systems

  Norisse Tellman, Eric R. Litt, Caprice Knapp, Aaron Eagan, Jing Cheng, Lewis J. Jr Radonovich

  3-9

  01-11-2010

  https://doi.org/10.4081/gh.2010.182

  2398

  PDF: 991
• 

  Residential mobility impacts relative risk estimates of space-time clusters of chlamydia in Kalamazoo County, Michigan

  Claudio Owusu, Michael R. Desjardins, Kathleen M. Baker, Eric Delmelle

  06-11-2019

  https://doi.org/10.4081/gh.2019.812

  1955

  PDF: 1021

  HTML: 40

• 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

  1828

  PDF: 1365

• Spatio-temporal and stochastic modelling of severe acute respiratory syndrome

  Poh-Chin Lai, Kim-Hung Kwong, Ho-Ting Wong

  183-192

  01-11-2013

  https://doi.org/10.4081/gh.2013.65

  1821

  PDF: 1328
• 

  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

  1686

  PDF: 910

  Supplementary Materials: 143

  HTML: 69
• 

  Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

  Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes

  18-05-2015

  https://doi.org/10.4081/gh.2015.341

  3081

  PDF: 1382

  HTML: 1201

• Improving the accuracy of livestock distribution estimates through spatial interpolation

  Ward Bryssinckx, Els Ducheyne, Bernard Muhwezi, Sunday Godfrey, Koen Mintiens, Herwig Leirs, Guy Hendrickx

  101-109

  01-11-2012

  https://doi.org/10.4081/gh.2012.109

  1434

  PDF: 1003

• GIS modeling for canine dirofilariosis risk assessment in central Italy

  Michele Mortarino, Vincenzo Musella, Valeria Costa, Claudio Genchi, Giuseppe Cringoli, Laura Rinaldi

  253-261

  01-05-2008

  https://doi.org/10.4081/gh.2008.248

  2247

  PDF: 973

• 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

  4349

  PDF: 2020
• 

  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

  1267

  PDF: 574

  HTML: 57

• 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

  1762

  PDF: 1043

• 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

  29-08-2024

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

  1259

  PDF: 652

  HTML: 126
• 

  Addressing operational challenges of combatting malaria in a remote forest area of Vietnam using spatial decision support system approaches

  Thang Duc Ngo, Sara E. Canavati, Ha Son Dinh, Thinh Duc Ngo, Duong T. Tran, Nicholas J. Martin, Gerard C. Kelly

  06-11-2019

  https://doi.org/10.4081/gh.2019.770

  2036

  PDF: 893

  APPENDIX: 304

  HTML: 85

• Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state

  Laura Delgado-Petrocelli, Alberto Camardiel, Víctor Hugo Aguilar, Néstor Martinez, Karenia Còrdova, Santiago Ramos

  169-176

  01-05-2011

  https://doi.org/10.4081/gh.2011.168

  2531

  PDF: 1000
• 

  Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

  Chigozie Louisa J. Ugwu, Temesgen Zewotir

  29-12-2020

  https://doi.org/10.4081/gh.2020.819

  3822

  PDF: 1815

  HTML: 752
• 

  Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

  Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

  18-04-2016

  https://doi.org/10.4081/gh.2016.415

  3683

  PDF: 1890

  HTML: 2250

• Geographical information systems-based spatial analysis and implications for syphilis interventions in Jiangsu province, People's Republic of China

  Yue-Jia Cheng, Jessie Norris, Chang-Jun Bao, Qi Liang, Jian-Li Hu, Ying Wu, Fen-Yang Tang, Wen-Dong Liu, Ke-Qin Ding, Yang Zhao, Zhi-Hang Peng, Rong-Bin Yu, Hua Wang, Hong-Bing Shen, Feng Chen

  63-72

  01-11-2012

  https://doi.org/10.4081/gh.2012.105

  2274

  PDF: 1279

• The potential for emergence of Chagas disease in the United States

  Rebecca Click Lambert, Korine N. Kolivras, Lynn M. Resler, Carlyle C. Brewster, Sally L. Paulson

  227-239

  01-05-2008

  https://doi.org/10.4081/gh.2008.246

  2654

  PDF: 1536

• 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

  1797

  PDF: 1029
• 

  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

  2442

  PDF: 1274

  HTML: 1293

• Optimizing denominator data estimation through a multimodel approach

  Ward Bryssinckx, Els Ducheyne, Veerle Versteirt, Herwig Leirs, Guy Hendrickx

  573-582

  01-05-2014

  https://doi.org/10.4081/gh.2014.47

  1209

  PDF: 1084

• Mapping the main Leishmania phlebotomine vector in the endemic focus of the Mt. Vesuvius in southern Italy

  Erika Rossi, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Sabrina Carbone, Luigi Gradoni, Giuseppe Cringoli, Michele Maroli

  191-198

  01-05-2007

  https://doi.org/10.4081/gh.2007.267

  2072

  PDF: 854
• 

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

  Nushrat Nazia

  20-07-2022

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

  1151

  PDF: 506

  Appendix: 184

  HTML: 138

• Baseline drivers of lymphatic filariasis in Burkina Faso

  Michelle C. Stanton, David H. Molyneux, Dominique Kyelem, Roland W. Bougma, Benjamin G. Koudou, Louise A. Kelly-Hope

  159-173

  01-11-2013

  https://doi.org/10.4081/gh.2013.63

  3556

  PDF: 1438

• The use of remotely sensed environmental data in the study of malaria

  Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier

  151-168

  01-05-2011

  https://doi.org/10.4081/gh.2011.167

  5751

  PDF: 2202
• 

  Spatio-temporal analysis of tuberculosis incidence in North Aceh District, Indonesia 2019-2021

  Farrah Fahdhienie, Frans Yosep Sitepu

  29-11-2022

  https://doi.org/10.4081/gh.2022.1148

  2390

  PDF: 1595

  HTML: 137
• 

  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

  1761

  PDF: 994

  HTML: 168
• 

  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

  3186

  PDF: 1371

  HTML: 1626

• Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child mortality in the Agincourt rural sub-district, South Africa, 1992-2007

  Benn Sartorius, Kathleen Kahn, Mark A. Collinson, Penelope Vounatsou, Stephen M. Tollman

  285-295

  01-05-2011

  https://doi.org/10.4081/gh.2011.181

  2359

  PDF: 1262

• Soil-transmitted helminthiasis in Latin America and the Caribbean: modelling the determinants, prevalence, population at risk and costs of control at sub-national level

  Josh Colston, Martha Saboyá

  321-340

  01-05-2013

  https://doi.org/10.4081/gh.2013.90

  2802

  PDF: 1487

• 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

  1967

  PDF: 908
• 

  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

  1103

  PDF: 893

  HTML: 19

• Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales

  Gouri S. Bhunia, Shreekant Kesari, Nandini Chatterjee, Vijay Kumar, Pradeep Das

  177-193

  01-05-2012

  https://doi.org/10.4081/gh.2012.136

  1532

  PDF: 1084

• Early detection of tick-borne encephalitis virus spatial distribution and activity in the province of Trento, northern Italy

  Annapaola Rizzoli, Markus Neteler, Roberto Rosá, Walter Versini, Antonio Cristofolini, Marco Bregoli, Alan Buckley, Ernest A. Gould

  169-176

  01-05-2007

  https://doi.org/10.4081/gh.2007.265

  3276

  PDF: 1132

• Characterising the spatial dynamics of sympatric Aedes aegypti and Aedes albopictus populations in the Philippines

  Jennifer Duncombe, Fe Espino, Kristian Marollano, Aldwin Velazco, Scott A. Ritchie, Wenbiao Hu, Philip Weinstein, Archie C. A. Clements

  255-265

  01-11-2013

  https://doi.org/10.4081/gh.2013.71

  3171

  PDF: 1853
• 

  Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

  Brian Hendricks, Miguella Mark-Carew, Jamison Conley

  13-11-2017

  https://doi.org/10.4081/gh.2017.582

  2685

  PDF: 877

  HTML: 755

• 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

  2936

  PDF: 1254

• Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system

  Jia-Cheng Zhang, Wen-Dong Liu, Qi Liang, Jian-Li Hu, Jessie Norris, Ying Wu, Chang-Jun Bao, Fen-Yang Tang, Peng Huang, Yang Zhao, Rong-Bin Yu, Ming-Hao Zhou, Hong-Bing Shen, Feng Chen, Zhi-Hang Peng

  429-435

  01-05-2014

  https://doi.org/10.4081/gh.2014.31

  3291

  PDF: 1394

• Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment

  Hassan M. Khormi, Lalit Kumar

  171-176

  01-05-2012

  https://doi.org/10.4081/gh.2012.135

  3467

  PDF: 1382

• 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

  9867

  PDF: 1765
• 

  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

  2139

  PDF: 1019

  HTML: 44

• 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

  4088

  PDF: 2130

• 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

  1510

  PDF: 930

• Climate-based risk models for Fasciola hepatica in Colombia

  Natalia Valencia-Lòpez, John B. Malone, Catalina Gòmez Carmona, Luz E. Velásquez

  S75-S85

  01-09-2012

  https://doi.org/10.4081/gh.2012.125

  3230

  PDF: 1675

• 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

  2938

  PDF: 1650
• 

  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

  2298

  PDF: 937

  HTML: 119

• Importance of individual analysis of environmental and climatic factors affecting the density of Leishmania vectors living in the same geographical area: the example of Phlebotomus ariasi and P. perniciosus in northeast Spain

  Cristina Ballart, Irene Guerrero, Xavier Castells, Sergio Baròn, Soledad Castillejo, M. Magdalena Alcover, Montserrat Portús, Montserrat Gállego

  389-403

  01-05-2014

  https://doi.org/10.4081/gh.2014.28

  3065

  PDF: 1360

• Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis

  Prixia Nieto, John B. Malone, Maria E. Bavia

  115-126

  01-11-2006

  https://doi.org/10.4081/gh.2006.286

  2171

  PDF: 946
• 

  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

  1787

  PDF: 937

  HTML: 68
• 

  Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

  Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil

  06-11-2017

  https://doi.org/10.4081/gh.2017.567

  2946

  PDF: 1119

  HTML: 708

• Dynamic location model for designated COVID-19 hospitals in China

  Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan

  29-10-2024

  https://doi.org/10.4081/gh.2024.1310

  1139

  PDF: 388

  Supplementary Materials: 270

  HTML: 73
• 

  Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

  Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña

  21-11-2016

  https://doi.org/10.4081/gh.2016.452

  2180

  PDF: 1261

  HTML: 1137
• 

  Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization

  Samuel F. Atkinson, Abhishek K. Kala, Chetan Tiwari

  17-02-2022

  https://doi.org/10.4081/gh.2022.1056

  2346

  PDF: 422

  HTML: 46
• 

  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

  3599

  PDF: 1302

  HTML: 1111
• 

  Mapping the potential distribution of the schistosomiasis intermediate host Biomphalaria straminea in China

  Jingyu Fan, Xuejiao Yuan, Menglin Wang, Gengping Zhu

  09-11-2018

  https://doi.org/10.4081/gh.2018.723

  2358

  PDF: 1220

  APPENDIX: 371

  HTML: 119
• 

  The future of general practitioner care in Lower Saxony, Germany: an analysis of actual vs target states using a GIS-based floating catchment area method

  Jonas Schoo, Frank Schüssler

  19-02-2025

  https://doi.org/10.4081/gh.2025.1339

  2613

  PDF: 787

  HTML: 108

• 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

  1022

  PDF: 454

  HTML: 93
• 

  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

  2715

  PDF: 1668

  HTML: 207
• 

  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

  1604

  PDF: 486

  Appendix: 253

  HTML: 38

• 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

  2363

  PDF: 876

  Supplementary Materials: 167

  HTML: 60
• 

  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

  2749

  PDF: 634

  HTML: 31
• 

  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

  2100

  PDF: 663

  HTML: 35
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  Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

  Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei

  24-03-2025

  https://doi.org/10.4081/gh.2025.1362

  1862

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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

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

  3286

  PDF: 870

  VIDEO: 0

  HTML: 678
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  Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

  Roberto Condoleo, Vincenzo Musella, Maria Paola Maurelli, Antonio Bosco, Giuseppe Cringoli, Laura Rinaldi

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  https://doi.org/10.4081/gh.2016.432

  2653

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  HTML: 1231
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  A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

  Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh

  29-11-2022

  https://doi.org/10.4081/gh.2022.1114

  906

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  The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

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  https://doi.org/10.4081/gh.2015.386

  3243

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  HTML: 1228
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  Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

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  https://doi.org/10.4081/gh.2021.909

  1782

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  HTML: 52
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  Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

  Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang

  25-05-2023

  https://doi.org/10.4081/gh.2023.1169

  1170

  PDF: 850

  HTML: 33
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  Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

  Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes

  27-10-2025

  https://doi.org/10.4081/gh.2025.1393

  565

  PDF: 342

  HTML: 35

• 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

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

  1739

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  HTML: 116
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  Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa

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  3094

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  APPENDIX: 489

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• Geospatial Health: achievements, innovations, priorities

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

  1920

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  HTML: 98
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  A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

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  07-07-2025

  https://doi.org/10.4081/gh.2025.1354

  1007

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  Supplementary Materials: 92

  HTML: 52
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  Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

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  1618

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  Supplementary Materials: 153

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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

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  1019

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  Spatial association between COVID-19 incidence rate and nighttime light index

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  18-03-2022

  https://doi.org/10.4081/gh.2022.1066

  2285

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  HTML: 90
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  Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

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  https://doi.org/10.4081/gh.2017.589

  3795

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

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  03-09-2024

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

  1770

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  HTML: 111
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  Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

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  1780

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• 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

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  6456

  PDF: 819

  Supplementary Materials: 263

  HTML: 118
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  Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record

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  https://doi.org/10.4081/gh.2020.862

  2585

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  Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

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  749

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  HTML: 30
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  Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

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  2040

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

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

  2463

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  Appendix: 225

  HTML: 157
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  Implications from assessing environmental effects on spatio-temporal pattern of schistosomiasis in the Yangtze Basin, China

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  1480

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  Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

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  2190

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  Access to the COVID-19 services during the pandemic - a scoping review

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  2463

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  Appendix: 308

  HTML: 116

• Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping

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  https://doi.org/10.4081/gh.2024.1287

  1136

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  Supplementary Materials: 184

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