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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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

    Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta
    07-05-2018
    https://doi.org/10.4081/gh.2018.642
    2475
    PDF: 1050
    APPENDIX: 469
    HTML: 126
  • COVID-19 vaccine prioritization based on district classification in Yogyakarta Province, Indonesia

    Syifa Hanifa, Diana Puspitasari, Cahyadi Ramadhan, Karina Oriza Herastuti
    14-01-2022
    https://doi.org/10.4081/gh.2022.1010
    2837
    PDF: 763
    HTML: 51
  • Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models

    Guo-Jing Yang, Qi Gao, Shui-Sen Zhou, John B. Malone, Jennifer C. McCarroll, Marcel Tanner, Penelope Vounatsou, Robert Bergquist, Jürg Utzinger, Xiao-Nong Zhou
    11-22
    01-11-2010
    https://doi.org/10.4081/gh.2010.183
    3390
    PDF: 1727
  • 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
    1313
    PDF: 520
    HTML: 81
  • 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
    2338
    PDF: 1306
  • 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
    4004
    PDF: 1537
    HTML: 197
  • Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

    Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo
    11-05-2017
    https://doi.org/10.4081/gh.2017.523
    2943
    PDF: 1303
    HTML: 892
  • Diluting the dilution effect: a spatial Lyme model provides evidence for the importance of habitat fragmentation with regard to the risk of infection

    Agustín Estrada-Peña
    143-155
    01-05-2009
    https://doi.org/10.4081/gh.2009.217
    2110
    PDF: 1087
  • Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan

    Kiran Afshan, Cesar A. Fortes-Lima, Patricio Artigas, M. Adela Valero, Mazhar Qayyum, Santiago Mas-Coma
    317-334
    01-05-2014
    https://doi.org/10.4081/gh.2014.22
    27232
    PDF: 2347
  • COVID-19: Past, present and future

    Robert Bergquist
    09-09-2022
    https://doi.org/10.4081/gh.2022.1147
    1058
    PDF: 557
    HTML: 113
  • 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
    3320
    PDF: 1166
  • 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
    609
    PDF: 375
    HTML: 37
  • Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning

    Sumiko Anno, Takeshi Hara, Hiroki Kai, Ming-An Lee, Yi Chang, Kei Oyoshi, Yousei Mizukami, Takeo Tadono
    06-11-2019
    https://doi.org/10.4081/gh.2019.771
    6791
    PDF: 2671
    APPENDIX: 372
    HTML: 493
  • 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
    1624
    PDF: 665
    HTML: 39
  • 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
    2121
    PDF: 915
    Supplementary Materials: 162
    HTML: 63
  • 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
    2842
    PDF: 1721
    HTML: 221
  • 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
    3244
    PDF: 1403
    HTML: 1627
  • 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
    1303
    PDF: 599
    HTML: 58
  • Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

    Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet
    29-12-2020
    https://doi.org/10.4081/gh.2020.857
    1810
    PDF: 820
    HTML: 19
  • 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
    3647
    PDF: 1313
    HTML: 1112
  • Geospatial context of social and environmental factors associated with health risk during temperature extremes: Review and discussion

    Man Sing Wong, Hung Chak Ho, Agnes Tse
    22-06-2020
    https://doi.org/10.4081/gh.2020.814
    2307
    PDF: 1160
    Appendix: 247
    HTML: 47
  • Spatiotemporal epidemiology of COVID-19 from an epidemic course perspective

    Yuling Huang, Shujuan Yang, Yuxuan Zou, Jianming Su, Canglang Wu, Bo Zhong, Peng Jia
    10-02-2022
    https://doi.org/10.4081/gh.2022.1023
    3459
    PDF: 643
    HTML: 35
  • 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
    1791
    PDF: 942
    APPENDIX: 350
    HTML: 46
  • Spatial association of public sports facilities with body mass index in Korea

    Eun Jin Han, Kiyeon Kang, So Young Sohn
    07-05-2018
    https://doi.org/10.4081/gh.2018.542
    2527
    PDF: 1125
    HTML: 112
  • Does altitude moderate the impact of lithium on suicide? A spatial analysis of Austria

    Marco Helbich, Victor Blüml, Michael Leitner, Nestor D. Kapusta
    209-218
    01-05-2013
    https://doi.org/10.4081/gh.2013.81
    4524
    PDF: 1497
  • Associations between time spent in green areas and physical activity among late middle-aged adults

    Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe
    16-11-2016
    https://doi.org/10.4081/gh.2016.411
    3279
    PDF: 1729
    HTML: 894
  • 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
    2531
    PDF: 1110
  • 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
    2288
    PDF: 985
  • Increased cancer mortality in Taiwanese inter-island migrants

    Meng-Kan Chen, Hsiu-Hsi Chen
    251-263
    01-05-2013
    https://doi.org/10.4081/gh.2013.84
    1514
    PDF: 870
  • Locating irregularly shaped clusters of infection intensity

    Niko Yiannakoulias, Shona Wilson, H. Curtis Kariuki, Joseph K. Mwatha, John H. Ouma, Eric Muchiri, Gachuhi Kimani, Birgitte J. Vennervald, David W. Dunne
    191-200
    01-05-2010
    https://doi.org/10.4081/gh.2010.200
    1311
    PDF: 849
  • Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

    Adel Al-Huraibi, Sherif Amer, Justine Blanford
    03-03-2025
    https://doi.org/10.4081/gh.2025.1293
    2288
    PDF: 739
    HTML: 84
  • 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
    1799
    PDF: 1064
  • 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
    2490
    PDF: 1297
    HTML: 1294
  • 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
    2185
    PDF: 1047
    HTML: 51
  • Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

    Laura Thompson, Maggie Sugg, Jennifer Runkle
    07-05-2018
    https://doi.org/10.4081/gh.2018.629
    2614
    PDF: 1193
    APPENDIX: 395
    HTML: 87
  • The spatiotemporal dynamics and structural covariates of homicide in the Republic of Korea, 2008-2017: A dynamic spatial panel data approach

    Yunho Yeom, Jaehun Choi
    09-05-2022
    https://doi.org/10.4081/gh.2022.1040
    1108
    PDF: 747
    HTML: 40
  • 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
    2726
    PDF: 821
    HTML: 110
  • Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

    Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han
    23-11-2016
    https://doi.org/10.4081/gh.2016.482
    2924
    PDF: 1045
    HTML: 818
  • Cystic echinococcosis in cattle dairy farms: spatial distribution and epidemiological dynamics

    Antonio Scala, Antonio Bosco, Anna Paola Pipia, Claudia Tamponi, Vincenzo Musella, Nicola Costanzo, Francesco Testoni, Antonio Montisci, Giovanni Mocci, Alessandro Longhi, Laura Tilocca, Laura Rinaldi, Giuseppe Cringoli, Antonio Varcasia
    29-05-2017
    https://doi.org/10.4081/gh.2017.562
    2567
    PDF: 1242
    HTML: 1028
  • Comparing the perception with the reality of walking in a hilly environment: an accessibility method applied to a University campus in Hong Kong

    Guibo Sun, Robert Haining, Hui Lin, Nicolas M. Oreskovic, Jie He
    18-05-2015
    https://doi.org/10.4081/gh.2015.340
    5563
    PDF: 1967
    HTML: 1910
  • Optimizing mobile mammography deployment in Oklahoma 2024: a two-step floating catchment area approach

    Janis E. Campbell, Amanda Janitz, Ayesha B. Sambo, Nubwa St. James, Stephanie F. Pharr, Mark P. Doescher
    21-04-2026
    https://doi.org/10.4081/gh.2026.1426
    209
    PDF: 170
    Supplementary materials: 29
    HTML: 5
  • A comparison of temporal and location-based sampling strategies for global positioning system-triggered electronic diaries

    Tobias Törnros, Helen Dorn, Markus Reichert, Ulrich Ebner-Priemer, Hans-Joachim Salize, Heike Tost, Andreas Meyer-Lindenberg, Alexander Zipf
    21-11-2016
    https://doi.org/10.4081/gh.2016.473
    6156
    PDF: 1509
    HTML: 979
  • Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania

    Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima
    18-05-2015
    https://doi.org/10.4081/gh.2015.322
    3234
    PDF: 1509
    HTML: 1421
  • Spatial air pollution modelling for a West-African town

    Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, Hampâté Bâ, Guéladio Cissé, Ming-Yi Tsai
    26-11-2015
    https://doi.org/10.4081/gh.2015.321
    3881
    PDF: 1766
    SUPPL. MATERIAL: 470
    HTML: 1089
  • 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
    2814
    PDF: 653
    HTML: 32
  • 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
    1714
    PDF: 1042
    HTML: 52
  • 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
    2013
    PDF: 985
    HTML: 355
  • 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
    1986
    PDF: 694
    HTML: 34
  • 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
    2764
    PDF: 1571
    HTML: 1168
  • Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network

    Mehrdad Ahangarcani, Mahdi Farnaghi, Mohammad Reza Shirzadi, Petter Pilesjö, Ali Mansourian
    14-05-2019
    https://doi.org/10.4081/gh.2019.711
    2929
    PDF: 1384
    APPENDIX: 392
    HTML: 236
  • Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

    Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno
    12-09-2023
    https://doi.org/10.4081/gh.2023.1202
    1845
    PDF: 925
    HTML: 121
  • Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia

    Heni Prasetyowati, Pandji Wibawa Dhewantara, Joni Hendri, Endang Puji Astuti, Yalemzewod Assefa Gelaw, Harapan Harapan, Mara Ipa, Widyastuti Widyastuti, Dwi Oktavia Tatri Lestari Handayani, Ngabila Salama, Mirsal Picasso
    12-03-2021
    https://doi.org/10.4081/gh.2021.948
    3619
    PDF: 1556
    Appendix: 175
    HTML: 96
  • Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

    Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho
    02-09-2025
    https://doi.org/10.4081/gh.2025.1403
    934
    PDF: 319
    HTML: 57
  • Geospatial assessment of primary healthcare centres in Jeddah, Saudi Arabia

    Abdulkader A. Murad, Mohaimin Azmain
    26-02-2026
    https://doi.org/10.4081/gh.2026.1463
    566
    PDF: 277
    HTML: 6
  • Evaluation by accessibility index differences of the cross-border potential for general inpatient care in the Ems-Dollart Region, a Dutch-German cross-border area

    Sebastian Specht, Helge Schnack, Andreas Hein
    08-08-2025
    https://doi.org/10.4081/gh.2025.1381
    1343
    PDF: 361
    HTML: 54
  • 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
    1645
    PDF: 1039
  • 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
    2920
    PDF: 1430
  • When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilisation

    Carla Shoff, Vivian Yi-Ju Chen, Tse-Chuan Yang
    557-568
    01-05-2014
    https://doi.org/10.4081/gh.2014.45
    2716
    PDF: 1233
  • 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
    2120
    PDF: 1226
  • Spatial patterns and eco-epidemiological systems - part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data

    Emmanuel Roux, Annamaria de Fátima Venâncio, Jean-François Girres, Christine A. Romaña
    53-64
    01-11-2011
    https://doi.org/10.4081/gh.2011.157
    1589
    PDF: 851
  • Geospatial Health: the first five years

    Jürg Utzinger, Laura Rinaldi, John B. Malone, Stefanie J. Krauth, Thomas K. Kristensen, Giuseppe Cringoli, Robert Bergquist
    137-154
    01-11-2011
    https://doi.org/10.4081/gh.2011.166
    3181
    PDF: 1405
  • 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
    1839
    PDF: 1055
  • 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
    1189
    PDF: 407
    Supplementary Materials: 276
    HTML: 76
  • Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

    Gerardo Núñez Medina
    17-05-2022
    https://doi.org/10.4081/gh.2022.1080
    1268
    PDF: 661
    HTML: 150
  • Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

    A.S. Stensgaard, A. Jørgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen
    93-104
    01-11-2006
    https://doi.org/10.4081/gh.2006.284
    3338
    PDF: 1749
  • Analysis of spatio-temporal variations in stroke incidence and case-fatality in Hong Kong

    Pui Hing Chau, Jean Woo, William B. Goggins, Moses Wong, Kam Che Chan, Suzanne C. Ho
    13-20
    01-11-2011
    https://doi.org/10.4081/gh.2011.153
    1735
    PDF: 1164
  • Present habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugal

    César Capinha, Eduardo Gomes, Eusébio Reis, Jorge Rocha, Carla A. Sousa, V. E. do Rosário, A. Paulo Almeida
    177-187
    01-05-2009
    https://doi.org/10.4081/gh.2009.219
    34264
    PDF: 1094
  • Mapping and modelling the geographical distribution of soil-transmitted helminthiases in Peninsular Malaysia: implications for control approaches

    Romano Ngui, Aziz Shafie, Kek H. Chua, Mohd S. Mistam, Hesham M. Al-Mekhlafi, Wan W. W. Sulaiman, Rohela Mahmud, Yvonne A. L. Lim
    365-376
    01-05-2014
    https://doi.org/10.4081/gh.2014.26
    4543
    PDF: 1386
  • 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
    2005
    PDF: 624
    HTML: 23
  • Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

    Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero
    31-05-2016
    https://doi.org/10.4081/gh.2016.410
    2332
    PDF: 1144
    HTML: 915
  • 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
    952
    PDF: 842
    HTML: 18
  • Integration of accelerometers, global positioning systems (GPS) and geographical information systems (GIS) for measuring physical activity

    Lucian Bezuidenhout, Warren Miller, Conran Joseph, David Moulaee Conradsson
    21-10-2025
    https://doi.org/10.4081/gh.2025.1382
    856
    PDF: 439
    HTML: 31
  • Epidemiology of canine heartworm (Dirofilaria immitis) infection in domestic dogs in Ontario, Canada: Geographic distribution, risk factors and effects of climate

    Erin McGill, Olaf Berke, Andrew S. Peregrine, J. Scott Weese
    13-05-2019
    https://doi.org/10.4081/gh.2019.741
    4090
    PDF: 2312
    HTML: 884
  • A spatiotemporal analysis of COVID-19 transmission in Jakarta, Indonesia for pandemic decision support

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    14-01-2022
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  • 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
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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
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  • Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014

    Dayun Kang, Jungsoon Choi
    09-11-2018
    https://doi.org/10.4081/gh.2018.665
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    APPENDIX: 396
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    Robert Bergquist
    08-05-2017
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    Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou
    18-04-2016
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  • Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran

    Ebrahim Babaee, Gholamreza Roshandel, Meysam Olfatifar, Arash Tehrani-Banihashemi, Arezou Ashaari, Marzieh Nojomi
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  • Socioeconomic status and deaths due to unintentional injury among children: A socio-spatial analysis in Taiwan

    An-Kuo Chou, Duan-Rung Chen
    13-05-2019
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    APPENDIX: 343
    HTML: 125
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Geospatial Health
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Vol. 21 No. 1 (2026)
Prioritizing the tuberculosis burden by the analytic hierarchy process for effective targeted intervention
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15 June 2026
Vol. 21 No. 1 (2026)
A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021
Zhiyuan Luo et al.
10 June 2026
Vol. 21 No. 1 (2026)
Collective efficacy and community readiness for dementia prevention: a spatial spillover analysis
Duan-Rung Chen et al.
8 June 2026

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