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eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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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
    1791
    PDF: 1148
    Appendix: 163
    HTML: 217
  • Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024

    Tariroyashe Chivanganye, Maphios Siamuchembu, Alice Gumbo, Lenka Beňová, Peter M. Macharia
    11-12-2025
    https://doi.org/10.4081/gh.2025.1434
    508
    PDF: 436
    HTML: 39
  • Heterogeneity in a communal cattle-farming system in a zone endemic for foot and mouth disease in South Africa

    Ockert Louis van Schalkwyk, Eva M. De Clercq, Claudia De Pus, Guy Hendrickx, Peter van den Bossche, Darryn L. Knobel
    31-05-2016
    https://doi.org/10.4081/gh.2016.338
    2694
    PDF: 1390
    HTML: 1468
  • Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

    Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang
    07-05-2018
    https://doi.org/10.4081/gh.2018.608
    4324
    PDF: 2052
    HTML: 582
  • 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
    2045
    PDF: 583
    HTML: 109
  • Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme

    Manuel O. Espinosa, Francisco Polop, Camilo H. Rotela, Marcelo Abril, Carlos M. Scavuzzo
    21-11-2016
    https://doi.org/10.4081/gh.2016.471
    4199
    PDF: 1619
    APPENDIX: 565
    HTML: 1542
  • Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

    Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1186
    2001
    PDF: 1129
    HTML: 65
  • Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

    Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho
    26-11-2020
    https://doi.org/10.4081/gh.2020.925
    3993
    PDF: 1357
    HTML: 31
  • Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

    Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie
    28-05-2024
    https://doi.org/10.4081/gh.2024.1255
    2794
    PDF: 797
    HTML: 101
  • The relative risk of spatial cluster occurrence and spatiotemporal evolution of meningococcal disease in Niger, 2002-2008

    Halima B. Maïnassara, Nicolas Molinari, Christophe Dematteï, Pascale Fabbro-Peray
    93-101
    01-11-2010
    https://doi.org/10.4081/gh.2010.190
    1403
    PDF: 1099
  • The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

    Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu
    29-11-2022
    https://doi.org/10.4081/gh.2022.1130
    961
    PDF: 851
    HTML: 29
  • 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
    1516
    PDF: 712
    Supplementary Materials: 123
    HTML: 21
  • Diagnostic approaches to malaria in Zambia, 2009-2014

    Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque
    03-06-2015
    https://doi.org/10.4081/gh.2015.330
    3665
    PDF: 1456
    HTML: 1171
  • Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand

    Phuricha Phacharathonphakul, Kittipong Sornlorm
    29-11-2024
    https://doi.org/10.4081/gh.2024.1300
    2116
    PDF: 661
    HTML: 114
  • A review of spatial technologies with applications for malaria transmission modelling and control in Africa

    Michael T. Gebreslasie
    26-11-2015
    https://doi.org/10.4081/gh.2015.328
    6400
    PDF: 2649
    HTML: 3133
  • Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

    Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi
    08-11-2017
    https://doi.org/10.4081/gh.2017.578
    2919
    PDF: 1156
    HTML: 952
  • 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
    1300
    PDF: 845
  • Monitoring the cluster of high-risk mortality areas in the southwest of Spain

    Maria Buxò-Pujolrás, José Miguel Martínez, Yutaka Yasui, Carme Borrell, Juan Carlos Martín, Montserrat Vergara, Marta Cervantes, Joan Benach
    73-81
    01-11-2012
    https://doi.org/10.4081/gh.2012.106
    1413
    PDF: 840
  • Mapping healthcare resources and regional mortality in Europe: a spatial study of current service coverage

    Alicja Olejnik, Agata Żółtaszek
    04-12-2025
    https://doi.org/10.4081/gh.2025.1425
    370
    PDF: 218
    Supplementary materials: 32
    HTML: 25
  • 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
    2172
    PDF: 1043
    HTML: 51
  • Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

    Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang
    28-11-2017
    https://doi.org/10.4081/gh.2017.611
    3757
    PDF: 971
    HTML: 730
  • Cystic echinococcosis in slaughtered cattle in Sardinia: a retrospective epidemiological study and spatial analysis

    Diego Brundu, Daniela Aloi, Sandro Rolesu, Toni Piseddu, Giovanna Masala
    285-291
    01-05-2012
    https://doi.org/10.4081/gh.2012.146
    1578
    PDF: 1010
  • Diabetes prevalence in the state of Alabama: identifying the risk factors

    Kwaku Karikari Manu, Seth Appiah-Opoku
    31-03-2026
    https://doi.org/10.4081/gh.2026.1465
    466
    PDF: 160
    HTML: 8
  • 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
    3324
    PDF: 1419
  • Examining the impact of the number of regions used in cluster detection methods: An application to childhood asthma visits to a hospital in Manitoba, Canada

    Mahmoud Torabi, Katie Galloway
    09-11-2018
    https://doi.org/10.4081/gh.2018.696
    1346
    PDF: 774
    APPENDIX: 356
    HTML: 34
  • Geographic disparities of asthma prevalence in south-western United States of America

    Lung-Chang Chien, Hasanat Alamgir
    97-108
    01-11-2014
    https://doi.org/10.4081/gh.2014.8
    2999
    PDF: 2085
  • Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

    Ândria Silveira Almeida, Caíque Jordan Nunes Ribeiro, Camila Caroline Carlini, Rogério Silva Santos, Allan Dantas dos Santos, Débora Santos Tavares, Karina Conceição Gomes Machado de Araújo, Tatiana Rodrigues de Moura, Priscila Lima dos Santos
    11-01-2021
    https://doi.org/10.4081/gh.2020.885
    2018
    PDF: 983
    HTML: 56
  • Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

    Federica Giardina, Jonas Franke, Penelope Vounatsou
    26-11-2015
    https://doi.org/10.4081/gh.2015.333
    3812
    PDF: 1731
    HTML: 1211
  • 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
    1783
    PDF: 784
    HTML: 116
  • Correction. Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

    The Publisher
    01-08-2023
    https://doi.org/10.4081/gh.2023.1233
    1335
  • A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

    Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto
    18-03-2022
    https://doi.org/10.4081/gh.2022.1067
    1831
    PDF: 620
    HTML: 47
  • Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China

    Huling Li, Hui Li, Zhongxing Ding, Zhibin Hu, Feng Chen, Kai Wang, Zhihang Peng, Hongbing Shen
    15-06-2020
    https://doi.org/10.4081/gh.2020.867
    7131
    PDF: 3147
    HTML: 97
  • 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
    2509
    PDF: 1108
    HTML: 112
  • 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
    2750
    PDF: 934
    HTML: 153
  • An investigation of geographical clusters of leptospirosis during the outbreak in Pangandaran, West Java, Indonesia

    Mutiara Widawati, Pandji Wibawa Dhewantara, Raras Anasi, Tri Wahono, Rina Marina, Intan Pandu Pertiwi, Agus Ari Wibowo, Andri Ruliansyah, Muhammad Umar Riandi, Dyah Widiastuti, Endang Puji Astuti
    05-10-2023
    https://doi.org/10.4081/gh.2023.1221
    2261
    PDF: 1121
    HTML: 37
  • Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change

    Cristian Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana
    18-05-2022
    https://doi.org/10.4081/gh.2022.1045
    2230
    PDF: 1106
    HTML: 72
  • 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
    3431
    PDF: 637
    HTML: 35
  • Spatial analysis of the regional variation of reproductive tract infections and spousal migration correlates in Nepal

    Derek C. Johnson, Pema Lhaki, Charlotte Buehler Cherry, Mirjam-Colette Kempf, Eric Chamot, Sten H. Vermund, Sadeep Shrestha
    30-05-2017
    https://doi.org/10.4081/gh.2017.513
    2541
    PDF: 1293
    HTML: 957
  • Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France

    Laurent Bailly, Rania Belgaied, Thomas Jobert, Benjamin Montmartin
    15-09-2025
    https://doi.org/10.4081/gh.2025.1383
    808
    PDF: 339
    Supplementary materials: 82
    HTML: 22
  • 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
    4265
    PDF: 1896
    HTML: 1488
  • Spatial association between socio-economic health service factors and sepsis mortality in Thailand

    Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm
    13-09-2023
    https://doi.org/10.4081/gh.2023.1215
    1724
    PDF: 687
    HTML: 49
  • Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina

    Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla
    06-11-2017
    https://doi.org/10.4081/gh.2017.564
    3463
    PDF: 1380
    HTML: 864
  • Spatio-temporal analysis of the progression of Aujeszky's disease virus infection in wild boar of Saxony-Anhalt, Germany

    Nicolai Denzin, Joachim Borgwardt, Conrad Freuling, Thomas Müller
    203-213
    01-11-2013
    https://doi.org/10.4081/gh.2013.67
    2130
    PDF: 1154
  • Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

    Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan
    07-04-2025
    https://doi.org/10.4081/gh.2025.1277
    2431
    PDF: 853
    Supplementary materials: 208
    HTML: 113
  • 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
    3885
    PDF: 1831
    HTML: 779
  • Are clusters of mental retardation correlated with clusters of developmental delay?

    Huiling Zhen, Suzanne McDermott, Andrew B. Lawson, C. Marjorie Aelion
    17-26
    01-11-2009
    https://doi.org/10.4081/gh.2009.207
    1480
    PDF: 763
  • 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
    2675
    PDF: 1030
    HTML: 269
  • Spatio-temporal evaluation of cattle trade in Sweden: description of a grid network visualization technique

    Stefan Widgren, Jenny Frössling
    119-130
    01-11-2010
    https://doi.org/10.4081/gh.2010.192
    1546
    PDF: 1120
  • 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
    2810
    PDF: 754
    HTML: 51
  • 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
    1250
    PDF: 590
    HTML: 56
  • 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
    2470
    PDF: 1342
  • Spatial analysis of Neospora caninum distribution in dairy cattle from Sweden

    Jenny Frössling, Ane Nødtvedt, Ann Lindberg, Camilla Björkman
    39-45
    01-11-2008
    https://doi.org/10.4081/gh.2008.230
    1699
    PDF: 910
  • Retrospective and spatial analysis tools for integrated surveillance of cystic echinococcosis and bovine cysticercosis in hypo-endemic areas

    Rudi Cassini, Paolo Mulatti, Claudia Zanardello, Giulia Simonato, Manuela Signorini, Stefania Cazzin, Pier Giorgio Tambalo, Mario Cobianchi, Mario Pietrobelli, Gioia Capelli
    509-515
    01-05-2014
    https://doi.org/10.4081/gh.2014.40
    2816
    PDF: 1213
  • Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

    Sarsenbay K. Abdrakhmanov, Yersyn Y. Mukhanbetkaliyev, Fedor I. Korennoy, Bolat Sh. Karatayev, Aizada A. Mukhanbetkaliyeva, Aruzhan S. Abdrakhmanova
    13-11-2017
    https://doi.org/10.4081/gh.2017.589
    3881
    PDF: 1384
    HTML: 939
  • 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
    4216
    PDF: 708
    HTML: 116
  • Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

    André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral
    04-11-2015
    https://doi.org/10.4081/gh.2015.365
    3289
    PDF: 1454
    HTML: 1227
  • Rapid GIS-based profiling of West Nile virus transmission: defining environmental factors associated with an urbansuburban outbreak in Northeast Ohio, USA

    A. Desiree LaBeaud, Ann-Marie Gorman, Joe Koonce, Christopher Kippes, John McLeod, Joe Lynch, Timothy Gallagher, Charles H. King, Anna M. Mandalakas
    215-225
    01-05-2008
    https://doi.org/10.4081/gh.2008.245
    2418
    PDF: 983
  • Relative contributions of neighbourhood and animal movements to Coxiella burnetii infection in dairy cattle herds

    Simon Nusinovici, Thierry Hoch, Stefan Widgren, Alain Joly, Ann Lindberg, François Beaudeau
    471-477
    01-05-2014
    https://doi.org/10.4081/gh.2014.36
    4823
    PDF: 1170
  • Balancing geo-privacy and spatial patterns in epidemiological studies

    Chien-Chou Chen, Jen-Hsiang Chuang, Da-Wei Wang, Chien-Min Wang, Bo-Cheng Lin, Ta-Chien Chan
    08-11-2017
    https://doi.org/10.4081/gh.2017.573
    4075
    PDF: 1293
    APPENDIX: 554
    HTML: 960
  • 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
    1789
    PDF: 1058
  • Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models

    Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono , Dian Handayani, Nurwan Nurwan, Susanna Cramb
    03-10-2024
    https://doi.org/10.4081/gh.2024.1321
    1939
    PDF: 736
    HTML: 133
  • Estimating small area health-related characteristics of populations: a methodological review

    Azizur Rahman
    08-05-2017
    https://doi.org/10.4081/gh.2017.495
    4395
    PDF: 1986
    HTML: 1374
  • Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

    Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara
    15-05-2025
    https://doi.org/10.4081/gh.2025.1372
    2649
    PDF: 1155
    HTML: 692
  • The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

    Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui
    31-05-2016
    https://doi.org/10.4081/gh.2016.414
    4249
    PDF: 1855
    HTML: 2264
  • 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
    2523
    PDF: 701
    HTML: 59
  • Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

    Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang
    07-05-2018
    https://doi.org/10.4081/gh.2018.653
    2561
    PDF: 1447
    HTML: 236
  • Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

    Xiao Li, Amanda Staudt, Lung-Chang Chien
    21-11-2016
    https://doi.org/10.4081/gh.2016.439
    2786
    PDF: 1322
    APPENDIX: 484
    HTML: 1155
  • Application of spatio-temporal scan statistics for the detection of areas with increased risk for American visceral leishmaniasis in the state of Bahia, Brazil

    Deborah D.M.T. Carneiro, Maria E. Bavia, Washington J.S.F. Rocha, Antônio C.Q. Tavares, Luciana L. Cardim, Biruk Alemayehu
    113-126
    01-11-2007
    https://doi.org/10.4081/gh.2007.260
    1561
    PDF: 1042
  • 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
    1879
    PDF: 1021
  • Spatial analysis of migrating Apis mellifera colonies in Salvador, Bahia, Brazil

    Renato L. Jr. Sandes, Cláudia L. Oliveira, Edvana S. Ferreira, Emersom Cruiff, Cezar Tavares, Antonio C.B. Santos, Carlos R. Franke, Maria E. Bavia
    129-134
    01-11-2009
    https://doi.org/10.4081/gh.2009.215
    1498
    PDF: 803
  • Reducing bias in risk indices for COVID-19

    Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek
    14-01-2022
    https://doi.org/10.4081/gh.2022.1013
    3087
    PDF: 551
    Appendix: 447
    HTML: 39
  • Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

    Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist
    26-03-2025
    https://doi.org/10.4081/gh.2025.1319
    2429
    PDF: 856
    HTML: 81
  • Detection of high risk campylobacteriosis clusters at three geographic levels

    Jennifer Weisent, Barton Rohrbach, John R. Dunn, Agricola Odoi
    65-76
    01-11-2011
    https://doi.org/10.4081/gh.2011.158
    1884
    PDF: 885
  • Nonlinear analysis of factors influencing public health in China based on machine learning

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Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 1 (2026)
Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy
Dimitrios Ntokos
14 April 2026
Vol. 21 No. 1 (2026)
Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
Aldo Gómez-Benitez et al.
9 April 2026
Vol. 21 No. 1 (2026)
Diabetes prevalence in the state of Alabama: identifying the risk factors
Kwaku Karikari Manu et al.
31 March 2026

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Geospatial Health

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