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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Behzad Kiani

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  • Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

    Géssyca Cavalcante de Melo, Emilia Carolle Azevedo de Oliveira, Iane Brito Leal, Carolina Piedade Morais de Freitas Soares Silva, Roberta Andrade Beltrão, Allan Dantas dos Santos, Renata Karina Reis, Marco Antônio Prado Nunes, Karina Conceição Gomes Machado de Araujo
    26-11-2020
    https://doi.org/10.4081/gh.2020.863
    3411
    PDF: 1248
    HTML: 43
  • Spatial associations between chronic kidney disease and socio-economic factors in Thailand

    Juree Sansuk, Kittipong Sornlorm
    30-01-2024
    https://doi.org/10.4081/gh.2024.1246
    6631
    PDF: 1195
    HTML: 1145
  • 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
    6279
    PDF: 1593
    HTML: 983
  • 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
    2493
    PDF: 1025
    HTML: 131
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7946
    PDF: 3322
    HTML: 3290
  • Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

    Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet
    17-05-2022
    https://doi.org/10.4081/gh.2022.1058
    11197
    PDF: 2687
    Appendix: 422
    HTML: 409
  • Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

    David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett
    31-05-2016
    https://doi.org/10.4081/gh.2016.377
    3424
    PDF: 1567
    HTML: 1494
  • Associating socio-economic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa

    Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael
    20-11-2024
    https://doi.org/10.4081/gh.2024.1288
    4160
    PDF: 795
    HTML: 103
  • 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
    2545
    PDF: 1047
    Supplementary Materials: 199
    HTML: 68
  • Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

    Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch
    26-05-2017
    https://doi.org/10.4081/gh.2017.501
    11067
    PDF: 4600
    HTML: 2248
  • Application of geospatial information systems (GIS) for assessment of the distribution of periodontal disease in Makassar City, South Sulawesi Province, Indonesia

    Fuad Husain Akbar, Nur Amaliyah Riyadh
    07-11-2023
    https://doi.org/10.4081/gh.2023.1240
    1877
    PDF: 833
    HTML: 27
  • The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

    Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens
    04-11-2015
    https://doi.org/10.4081/gh.2015.386
    3388
    PDF: 1254
    HTML: 1233
  • 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
    1523
    PDF: 668
    HTML: 45
  • Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

    Lung-Chang Chien, Xiao Li, Amanda Staudt
    03-11-2017
    https://doi.org/10.4081/gh.2017.528
    3063
    PDF: 1100
    HTML: 811
  • Nonlinear analysis of factors influencing public health in China based on machine learning

    Dehong Sun, Hui Wang
    16-03-2026
    https://doi.org/10.4081/gh.2026.1450
    411
    PDF: 311
    HTML: 12
  • 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
    2405
    PDF: 1028
  • Analysis of climate and extrinsic incubation of Dirofilaria immitis in southern South America

    Pablo F. Cuervo, M. Cecilia Fantozzi, Sophia Di Cataldo, Giuseppe Cringoli, Roberto Mera y Sierra, Laura Rinaldi
    175-181
    01-11-2013
    https://doi.org/10.4081/gh.2013.64
    2891
    PDF: 1353
  • 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
    2899
    PDF: 1400
    APPENDIX: 507
    HTML: 1191
  • 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
    1880
    PDF: 1116
  • Clustering of disability caused by unintentional injury among 15- to 60-year-old: a challenge in rapidly developing countries

    Yi-Lan Liao, Jin-Feng Wang, Gong Chen, Wei Du, Xin-Ming Song, Xiao Yun, Xiao-Ying Zheng
    13-22
    01-11-2013
    https://doi.org/10.4081/gh.2013.50
    2032
    PDF: 1092
  • A climate distribution model of malaria transmission in Sudan

    Mohammed I. Musa, Shamarina Shohaimi, Nor R. Hashim, Isthrinayagy Krishnarajah
    27-36
    01-11-2012
    https://doi.org/10.4081/gh.2012.102
    2596
    PDF: 1221
  • Geo-referencing livestock farms as tool for studying cystic echinococcosis epidemiology in cattle and water buffaloes from southern Italy

    Giuseppe Cringoli, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Maria Paola Maurelli, Francesco Di Pietro, Michele Frisiello, Salvatore Di Pietro
    105-111
    01-11-2007
    https://doi.org/10.4081/gh.2007.259
    2755
    PDF: 1142
  • 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
    3426
    PDF: 1801
  • 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
    1858
    PDF: 1124
  • 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
    3378
    PDF: 1449
    HTML: 717
  • 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
    2571
    PDF: 1352
    HTML: 1303
  • Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

    Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou
    355-366
    01-05-2013
    https://doi.org/10.4081/gh.2013.92
    6729
    PDF: 2261
  • 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
    3697
    PDF: 1481
  • Application of a degree-day model of West Nile virus transmission risk to the East Coast of the United States of America

    Sarah K. Konrad, Scott N. Miller
    15-20
    01-11-2012
    https://doi.org/10.4081/gh.2012.100
    1571
    PDF: 871
  • 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
    2506
    PDF: 1936
  • Bayesian risk maps for Schistosoma mansoni and hookworm mono-infections in a setting where both parasites co-exist

    Giovanna Raso, Penelope Vounatsou, Donald P. McManus, Jürg Utzinger
    85-96
    01-11-2007
    https://doi.org/10.4081/gh.2007.257
    2795
    PDF: 975
  • 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
    4277
    PDF: 1456
  • 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
    3287
    PDF: 1481
  • 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
    3385
    PDF: 1490
  • 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
    2502
    PDF: 1038
  • 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
    1895
    PDF: 1064
    Supplementary Materials: 184
    HTML: 111
  • 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
    4742
    PDF: 1484
  • A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

    Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan
    87-95
    01-11-2013
    https://doi.org/10.4081/gh.2013.57
    2884
    PDF: 1536
  • Epidemiological and spatial analysis of breast cancer mortality and survival among women in San Luis Potosi, Mexico 2009-2019

    Carlos Daniel Coronado-Ruis, Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Sergio Zarazúa-Guzmán, Thuluz Meza-Menchaca, Marisol Gallegos-García, Omar Medina-de la Cruz, Verónica Gallegos-Garcìa
    23-07-2026
    https://doi.org/10.4081/gh.2026.1490
    268
    PDF: 126
    HTML: 1
  • Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

    Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón
    06-05-2022
    https://doi.org/10.4081/gh.2022.1033
    1956
    PDF: 1106
    Appendix: 214
    HTML: 42
  • 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
    2090
    PDF: 1049
    HTML: 65
  • 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
    2402
    PDF: 1204
    HTML: 77
  • 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
    3512
    PDF: 666
    HTML: 162
  • 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
    2966
    PDF: 708
    HTML: 34
  • 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
    3772
    PDF: 1333
    HTML: 77
  • Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

    Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim
    08-06-2022
    https://doi.org/10.4081/gh.2022.1095
    1809
    PDF: 1083
    HTML: 68
  • 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
    4541
    PDF: 2123
    HTML: 585
  • Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

    Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi
    28-05-2024
    https://doi.org/10.4081/gh.2024.1279
    3028
    PDF: 1019
    HTML: 94
  • Oncologic burden in Ukraine: regional inequalities and environmental risk factors

    Anatolii Kornus, Olesia Kornus, Yurii Liannoi, Olena Danylchenko, Serhii Lutsenko
    14-11-2025
    https://doi.org/10.4081/gh.2025.1418
    781
    PDF: 305
    HTML: 18
  • Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

    Mehdi Raei, Volker Johann Schmid, Behzad Mahaki
    08-05-2018
    https://doi.org/10.4081/gh.2018.645
    2654
    PDF: 1269
    HTML: 149
  • 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
    1387
    PDF: 648
    HTML: 59
  • Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

    Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli
    25-05-2023
    https://doi.org/10.4081/gh.2023.1176
    3792
    PDF: 1615
    Supplementary Materials: 222
    HTML: 144
  • 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
    1315
    PDF: 1076
    HTML: 98
  • Environmental inducers of schistosomiasis mansoni in Campinas, Brazil

    Francisco Anaruma Filho, João Moreno Sant'Ana, Rozely Ferreira dos Santos, Cláudio Luiz Castagna
    79-91
    01-11-2010
    https://doi.org/10.4081/gh.2010.189
    1452
    PDF: 978
  • Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy

    Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Loshini Thiruchelvam, Nur Balqishanis Zainal Abidin, Ani Shabri, Sarah A'fifah Abdullah Sani
    13-11-2023
    https://doi.org/10.4081/gh.2023.1236
    1947
    PDF: 812
    HTML: 85
  • 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
    1916
    PDF: 1435
  • Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil

    Bruna Rafaela Leite Dias, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues, Bruna Puty, Maria Liracy Batista de Souza, Gracileide Maia Corrêa, Altem Nascimento Pontes
    12-09-2025
    https://doi.org/10.4081/gh.2025.1399
    846
    PDF: 349
    HTML: 17
  • Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

    Manon Pigeolet, Tarinee Kucchal, Matthew T. Hey, Marcia C. Castro, Angela Margaret Evans, Tarsicio Uribe-Leitz, Mohommad Mamun Hossen Chowhury, Sabrina Juran
    25-05-2023
    https://doi.org/10.4081/gh.2023.1174
    1398
    PDF: 732
    HTML: 21
  • Preferential sampling in veterinary parasitological surveillance

    Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan
    18-04-2016
    https://doi.org/10.4081/gh.2016.412
    2475
    PDF: 1758
    APPENDIX: 681
    HTML: 1058
  • Spatial distribution of triatomines (Reduviidae: Triatominae) in urban areas of the city of Salvador, Bahia, Brazil

    Karine de Souza O. Santana, Maria Emília Bavia, Artur Dias Lima, Isabel Cristina S. Guimarães, Ênio Silva Soares, Marta Mariana Nascimento Silva, Jorge Mendonça, Moara de Santana Martin
    199-203
    01-05-2011
    https://doi.org/10.4081/gh.2011.172
    2444
    PDF: 1092
  • Geospatial analysis of invasion of the Asian tiger mosquito Aedes albopictus: competition with Aedes japonicus japonicus in its northern limit area in Japan

    Naoko Nihei, Osamu Komagata, Kan-ichiro Mochizuki, Mutsuo Kobayashi
    417-427
    01-05-2014
    https://doi.org/10.4081/gh.2014.30
    3092
    PDF: 1394
  • Methodological approach to determine of small spatial units in a highly complex terrain in atmospheric pollution research: the case of Zasavje region in Slovenia

    Andreja Kukec, Marija Z. Boznar, Primoz Mlakar, Bostjan Grasic, Andrej Herakovic, Vesna Zadnik, Lijana Zaletel-Kragelj, Jerneja Farkas, Ivan Erzen
    527-535
    01-05-2014
    https://doi.org/10.4081/gh.2014.42
    1593
    PDF: 961
  • 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
    2289
    PDF: 971
  • Ecological study and risk mapping of visceral leishmaniasis in an endemic area of Iran based on a geographical information systems approach

    Abdoreza Salahi-Moghaddam, Mehdi Mohebali, Ali Moshfae, Majid Habibi, Zabiholah Zarei
    71-77
    01-11-2010
    https://doi.org/10.4081/gh.2010.188
    2360
    PDF: 1006
  • Effect of soil surface salt on the density and distribution of the snail Bithynia siamensis goniomphalos in northeast Thailand

    Apiporn Suwannatrai, Kulwadee Suwannatrai, Surat Haruay, Supawadee Piratae, Chalida Thammasiri, Panita Khampoosa, Jutharat Kulsantiwong, Sattrachai Prasopdee, Pairat Tarbsripair, Rasamee Suwanwerakamtorn, Somsak Sukchan, Thidarut Boonmars, John B. Malone, Michael T. Kearney, Smarn Tesana
    183-190
    01-05-2011
    https://doi.org/10.4081/gh.2011.170
    18574
    PDF: 1528
  • Taming the beast: rabies control in the cradle of mankind

    Gianluca D'Amico, Andrei D. Mihalca, Cristian DomÅŸa, KateÅ™ina Albrechtová, Attila D. Sándor, David Modrý
    409-411
    01-05-2013
    https://doi.org/10.4081/gh.2013.98
    1733
    PDF: 1034
    Video: 0
  • Temporal and spatial mapping of hand, foot and mouth disease in Sarawak, Malaysia

    Noraishah M. Sham, Isthrinayagy Krishnarajah, Noor Akma Ibrahim, Munn-Sann Lye
    503-507
    01-05-2014
    https://doi.org/10.4081/gh.2014.39
    3411
    PDF: 1531
  • Spatialising health research: what we know and where we are heading

    Tse-Chuan Yang, Carla Shoff, Aggie J. Noah
    161-168
    01-05-2013
    https://doi.org/10.4081/gh.2013.77
    3538
    PDF: 1393
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Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 2 (2026)
Bayesian hierarchical spatial models for disease mapping in the presence of missing covariates
Sami Ullah et al.
20 August 2026

Keywords

Geospatial Health

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