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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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  • 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
    3122
    PDF: 1402
    HTML: 1206
  • Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

    Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati
    27-11-2015
    https://doi.org/10.4081/gh.2015.373
    5385
    PDF: 2021
    HTML: 1036
  • Quantifying human-environment interactions using videography in the context of infectious disease transmission

    Timothy R. Julian, Carla Bustos, Laura H. Kwong, Alejandro D. Badilla, Julia Lee, Heather N. Bischel, Robert A. Canales
    08-05-2018
    https://doi.org/10.4081/gh.2018.631
    2429
    PDF: 1033
    Video: 0
    HTML: 103
  • Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast

    Emília Carolle Azevedo de Oliveira, Iris Edna Pereira da Silva, Ricardo José Ferreira, Ricardo José de Paula Souza e Guimarães, Elainne Christine de Souza Gomes, Constança Simões Barbosa
    29-12-2020
    https://doi.org/10.4081/gh.2020.861
    2725
    PDF: 1069
    HTML: 68
  • Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022

    Augustine Odo Ebonyi, Mary-Jane Ebire Ebonyi, Femi Rufus Tinuola, Isaiah Gwitira
    16-03-2026
    https://doi.org/10.4081/gh.2026.1456
    278
    PDF: 211
    HTML: 12
  • 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
    2797
    PDF: 1327
    APPENDIX: 486
    HTML: 1155
  • Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES

    David Taylor, Michael Hagenlocher, Anne E. Jones, Stefan Kienberger, Joseph Leedale, Andrew P. Morse
    31-03-2016
    https://doi.org/10.4081/gh.2016.387
    6545
    PDF: 2044
    HTML: 2195
  • Impact of climate change on dengue fever: a bibliometric analysis

    Mai Liu, Yin Zhang
    19-02-2025
    https://doi.org/10.4081/gh.2025.1301
    2795
    PDF: 935
    Supplementary Materials: 377
    HTML: 134
  • 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
    2270
    PDF: 1126
    HTML: 37
  • Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

    Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan
    16-05-2022
    https://doi.org/10.4081/gh.2022.1072
    2107
    PDF: 1041
    HTML: 161
  • 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
    11-05-2021
    https://doi.org/10.4081/gh.2021.904
    2558
    PDF: 1364
    HTML: 177
  • 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
    3099
    PDF: 558
    Appendix: 448
    HTML: 39
  • 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
    603
    PDF: 370
    HTML: 37
  • Geographic access to radiation therapy facilities and disparities of early-stage breast cancer treatment

    Yan Lin, Michael C. Wimberly, Patricia Da Rosa, Joseph Hoover, William F. Athas
    07-05-2018
    https://doi.org/10.4081/gh.2018.622
    3938
    PDF: 1517
    HTML: 378
  • 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
    1793
    PDF: 1018
    HTML: 173
  • A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

    Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó
    23-10-2023
    https://doi.org/10.4081/gh.2023.1212
    1790
    PDF: 884
    HTML: 27
  • 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
    1798
    PDF: 816
    HTML: 19
  • Vector-borne diseases in a warmer world: Will they stay or will they go?

    Robert Bergquist, Anna-Sofie Stensgaard, Laura Rinaldi
    07-05-2018
    https://doi.org/10.4081/gh.2018.699
    2993
    PDF: 1321
    HTML: 226
  • Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

    Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina
    12-02-2026
    https://doi.org/10.4081/gh.2026.1316
    841
    PDF: 438
    Supplementary Materials: 107
    HTML: 18
  • 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
    1094
    PDF: 470
    HTML: 100
  • 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
    4231
    PDF: 712
    HTML: 116
  • 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
    849
    PDF: 434
    HTML: 30
  • Spatial patterns of Plasmodium vivax transmission explored by multivariate auto-regressive state-space modelling - A case study in Baoshan Prefecture in southern China

    Jinxin Zheng, Benyun Shi, Shang Xia, Guojing Yang, Xiao-Nong Zhou
    12-03-2021
    https://doi.org/10.4081/gh.2021.879
    1879
    PDF: 791
    HTML: 38
  • Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

    Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto
    16-11-2016
    https://doi.org/10.4081/gh.2016.443
    4214
    PDF: 1979
    HTML: 1401
  • Geocoding precision of birth records from 2008 to 2017 in Kentucky, USA

    Courtney J. Walker, Steven R. Browning, Jeffrey E. Levy, W. Jay Christian
    06-05-2022
    https://doi.org/10.4081/gh.2022.1020
    1527
    PDF: 767
    HTML: 17
  • 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
    1310
    PDF: 683
    HTML: 132
  • Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

    Sade Kılıç Yıldırım, Celal Reha Alpar
    14-11-2025
    https://doi.org/10.4081/gh.2025.1396
    455
    PDF: 222
    HTML: 6
  • Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

    Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger
    30-11-2015
    https://doi.org/10.4081/gh.2015.398
    4493
    PDF: 1285
    HTML: 1216
  • 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
    1327
    PDF: 360
    HTML: 54
  • Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

    Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Muhammad Salim Javed Gandapur, Iftikhar Ali, Alamgir Khalil
    05-05-2021
    https://doi.org/10.4081/gh.2021.961
    4110
    PDF: 1683
    HTML: 119
  • 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
    2940
    PDF: 1161
    HTML: 952
  • Haemonchus contortus: spatial risk distribution for infection in sheep in Europe

    Laura Rinaldi, Dolores Catelan, Vincenzo Musella, Lorenzo Cecconi, Hubertus Hertzberg, Paul R. Torgerson, Fabien Mavrot, Theo de Waal, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Annibale Biggeri, Giuseppe Cringoli
    325-331
    19-03-2015
    https://doi.org/10.4081/gh.2015.355
    4915
    PDF: 2258
  • 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
    1933
    PDF: 444
    HTML: 105
  • Spatial variations of COVID-19 risk by age in Toronto, Canada

    Nushrat Nazia
    20-07-2022
    https://doi.org/10.4081/gh.2022.1100
    1194
    PDF: 521
    Appendix: 196
    HTML: 142
  • Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

    Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang
    04-11-2015
    https://doi.org/10.4081/gh.2015.374
    2501
    PDF: 1310
    HTML: 982
  • Spatio-temporal analysis of fox rabies cases in Germany 2005-2006

    Matthias Eckardt, Conrad Freuling, Thomas Müller, Thomas Selhorst
    03-06-2015
    https://doi.org/10.4081/gh.2015.313
    2901
    PDF: 1270
    HTML: 1214
  • Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective

    Giulia Roli, Alessandra Samoggia, Rossella Miglio, Rosella Rettaroli
    233-245
    01-05-2012
    https://doi.org/10.4081/gh.2012.141
    1590
    PDF: 1153
  • First year with COVID-19: Assessment and prospects

    Robert Bergquist, Behzad Kiani, Samuel Manda
    26-11-2020
    https://doi.org/10.4081/gh.2020.953
    3097
    PDF: 802
    HTML: 28
  • Assessing the spatial accessibility of hospital care in Sichuan Province, China

    Jay Pan, Huiran Liu, Xiuli Wang, Hongmei Xie, Paul L. Delamater
    27-11-2015
    https://doi.org/10.4081/gh.2015.384
    6314
    PDF: 2389
    HTML: 1654
  • 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
    3340
    PDF: 1463
  • 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
    2094
    PDF: 1222
  • Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

    Kabeya Clement Mulamba
    12-05-2025
    https://doi.org/10.4081/gh.2025.1340
    1473
    PDF: 308
    HTML: 59
  • 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
    746
    PDF: 290
    HTML: 13
  • Mapping of zones potentially occupied by Aedes vexans and Culex poicilipes mosquitoes, the main vectors of Rift Valley fever in Senegal

    Yves M. Tourre, Jean-Pierre Lacaux, Cecile Vignolles, Jacques-André Ndione, Murielle Lafaye
    69-79
    01-11-2008
    https://doi.org/10.4081/gh.2008.233
    1603
    PDF: 950
  • Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

    Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm , Warangkana Sungsitthisawad, Roshan Kumar Mahato
    27-01-2025
    https://doi.org/10.4081/gh.2025.1329
    3384
    PDF: 1070
    Supplementary Materials: 582
    HTML: 258
  • Modelling homogeneous regions of social vulnerability to malaria in Rwanda

    Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye
    31-03-2016
    https://doi.org/10.4081/gh.2016.404
    3883
    PDF: 1895
    HTML: 2262
  • Validation of a spatial liver fluke model under field conditions in Ireland

    Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl
    07-05-2018
    https://doi.org/10.4081/gh.2018.641
    2418
    PDF: 1078
    HTML: 188
  • How much incident lung cancer was missed globally in 2012? An ecological country-level study

    Benn Sartorius, Kurt Sartorius
    31-05-2016
    https://doi.org/10.4081/gh.2016.396
    2678
    PDF: 1554
    HTML: 1033
  • Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

    Beatriz Martínez-Lòpez, Tsviatko Alexandrov, Lina Mur, Fernando Sánchez-Vizcaíno, José M. Sánchez-Vizcaíno
    489-501
    01-05-2014
    https://doi.org/10.4081/gh.2014.38
    2328
    PDF: 1290
  • The utility of Google Trends for epidemiological research: Lyme disease as an example

    Ari Seifter, Alison Schwarzwalder, Kate Geis, John Aucott
    135-137
    01-05-2010
    https://doi.org/10.4081/gh.2010.195
    11768
    PDF: 3743
  • Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

    Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi
    17-07-2025
    https://doi.org/10.4081/gh.2025.1390
    1085
    PDF: 603
    Supplementary Materials: 109
    HTML: 112
  • Geospatial Health: achievements, innovations, priorities

    Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla
    25-10-2024
    https://doi.org/10.4081/gh.2024.1355
    1975
    PDF: 739
    HTML: 99
  • 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
    3909
    PDF: 1834
    HTML: 782
  • Dying in their prime: determinants and space-time risk of adult mortality in rural South Africa

    Benn Sartorius, Kathleen Kahn, Mark A. Collinson, Kurt Sartorius, Stephen M. Tollman
    237-249
    01-05-2013
    https://doi.org/10.4081/gh.2013.83
    2265
    PDF: 1185
  • 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
    2222
    PDF: 970
  • 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
    1556
    PDF: 1123
  • Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China

    Yi Hu, Cheng-Long Xiong, Zhi-Jie Zhang, Robert Bergquist, Zeng-Liang Wang, Jie Gao, Rui Li, Bo Tao, Qiu-Lin Jiang, Qingwu Jiang
    125-132
    01-11-2013
    https://doi.org/10.4081/gh.2013.60
    2868
    PDF: 1103
  • American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

    Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, Afrânio Lima Carvalho
    18-05-2015
    https://doi.org/10.4081/gh.2015.314
    3057
    PDF: 1544
    HTML: 821
  • Spatial patterns of recorded mastitis incidence and somatic cell counts in Swedish dairy cows: implications for surveillance

    Cecilia Wolff, Mark Stevenson, Ulf Emanuelson, Agneta Egenvall, Ann Lindberg
    117-123
    01-11-2011
    https://doi.org/10.4081/gh.2011.163
    1278
    PDF: 974
  • 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
    1856
    PDF: 958
    Appendix: 174
    HTML: 41
  • 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
    27203
    PDF: 2337
  • 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
    2012
    PDF: 930
  • Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

    Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin
    30-11-2022
    https://doi.org/10.4081/gh.2022.1118
    2219
    PDF: 1110
    HTML: 75
  • Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya

    Uriel Kitron, Julie A. Clennon, M. Carla Cecere, Ricardo E. Gürtler, Charles H. King, Gonzalo Vazquez-Prokopec
    49-58
    01-11-2006
    https://doi.org/10.4081/gh.2006.280
    2574
    PDF: 1070
  • Mapping brucellosis risk in communities in the Republic of Armenia

    Thibaud Porphyre, Ronald Jackson, Carola Sauter-Louis, David Ward, Grigor Baghyan, Edik Stepanyan
    103-118
    01-11-2010
    https://doi.org/10.4081/gh.2010.191
    2110
    PDF: 1150
  • 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
    2935
    PDF: 1295
    HTML: 892
  • Environmental determinants of Opisthorchis viverrini prevalence in northeast Thailand

    Yi-Chen Wang, Chen-Chieh Feng, Paiboon Sithithaworn
    111-123
    01-11-2013
    https://doi.org/10.4081/gh.2013.59
    2556
    PDF: 1324
  • A concise, straightforward presentation can be worth more than a thousand words

    Robert Bergquist
    03-11-2017
    https://doi.org/10.4081/gh.2017.637
    2665
    PDF: 817
    HTML: 669
  • Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

    Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran
    26-11-2015
    https://doi.org/10.4081/gh.2015.376
    3872
    PDF: 2232
    HTML: 1271
  • Space-time cluster analysis of anemia in pregnant women in the province of Khyber Pakhtunkhwa, Pakistan (2014-2020)

    Sami Ullah, SM Aqil Burney, Tariq Rasheed, Shamaila Burney, Mushtaq Ahmad Khan Barakzia
    05-10-2023
    https://doi.org/10.4081/gh.2023.1192
    1186
    PDF: 785
    HTML: 49
  • Cancer incidence in Priolo, Sicily: a spatial approach for estimation of industrial air pollution impact

    Lucia Fazzo, Mario Carere, Francesco Tisano, Caterina Bruno, Achille Cernigliaro, Maria Rita Cicero, Pietro Comba, Maria Luisa Contrino, Marco De Santis, Fabrizio Falleni, Vincenzo Ingallinella, Anselmo Madeddu, Ida Marcello, Carlo Regalbuto, Giovanna Sciacca, Maria Eleonora Soggiu, Amerigo Zona
    18-04-2016
    https://doi.org/10.4081/gh.2016.320
    5183
    PDF: 2069
    HTML: 2079
  • Analysing the spatial patterns of livestock anthrax in Kazakhstan in relation to environmental factors: a comparison of local (Gi*) and morphology cluster statistics

    Ian T. Kracalik, Jason K. Blackburn, Larisa Lukhnova, Yerlan Pazilov, Martin E. Hugh-Jones, Alim Aikimbayev
    111-126
    01-11-2012
    https://doi.org/10.4081/gh.2012.110
    2799
    PDF: 1234
  • Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring

    Jihong Zhang, Guohua Yin, Qiuhua Zhang, Juan Fang, Duo Jiang, Chao Yang, Na Sun
    28-04-2025
    https://doi.org/10.4081/gh.2025.1286
    1488
    PDF: 444
    HTML: 97
  • The relative risk of spatial cluster occurrence and spatiotemporal evolution of meningococcal disease in Niger, 2002-2008

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Geospatial Health
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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)
Bayesian spatial Durbin modelling of stunting prevalence across Indonesian districts
Ferra Yanuar et al.
25 May 2026

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Geospatial Health

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