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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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  • Socio-environmental variables and transmission risk of lymphatic filariasis in central and northern Mozambique

    Isabel Manhenje, M. Teresa Galán-Puchades, Márius V. Fuentes
    391-398
    01-05-2013
    https://doi.org/10.4081/gh.2013.96
    3178
    PDF: 1558
  • Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

    Camilo H. Rotela, Lorena I. Spinsanti, Mario A. Lamfri, Marta S. Contigiani, Walter R. Almiròn, Carlos M. Scavuzzo
    85-94
    01-11-2011
    https://doi.org/10.4081/gh.2011.160
    1502
    PDF: 967
  • 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
    3343
    PDF: 1475
    HTML: 1630
  • 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
    556
    PDF: 335
    HTML: 25
  • Spatial distribution of HIV/AIDS in Yunnan province, People's Republic of China

    Zhi-Hang Peng, Yue-Jia Cheng, Kathleen H. Reilly, Lu Wang, Qian-Qian Qin, Zheng-Wei Ding, Guo-Wei Ding, Ke-Qin Ding, Rong-Bin Yu, Feng Chen, Ning Wang
    177-182
    01-05-2011
    https://doi.org/10.4081/gh.2011.169
    3340
    PDF: 1559
  • 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
    3790
    PDF: 1529
    HTML: 1177
  • Soil-transmitted helminthiasis in Latin America and the Caribbean: modelling the determinants, prevalence, population at risk and costs of control at sub-national level

    Josh Colston, Martha Saboyá
    321-340
    01-05-2013
    https://doi.org/10.4081/gh.2013.90
    2985
    PDF: 1622
  • Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

    Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco
    26-05-2017
    https://doi.org/10.4081/gh.2017.506
    1962
    PDF: 1068
    HTML: 1070
  • 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
    1914
    PDF: 1133
  • Bayesian spatial modelling and the significance of agricultural land use to scrub typhus infection in Taiwan

    Nicola A. Wardrop, Chi-Chien Kuo, Hsi-Chieh Wang, Archie C. A. Clements, Pei-Fen Lee, Peter M. Atkinson
    229-239
    01-11-2013
    https://doi.org/10.4081/gh.2013.69
    3211
    PDF: 1167
  • 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
    2001
    PDF: 694
    HTML: 50
  • Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017

    Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian
    07-01-2021
    https://doi.org/10.4081/gh.2020.860
    3990
    PDF: 1305
    HTML: 48
  • 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
    1454
    PDF: 979
  • Spatial analyses of typhoid fever in Jiangsu province, People's Republic of China

    Yue-Jia Cheng, Fen-Yang Tang, Chang-Jun Bao, Ye-Fei Zhu, Qi Liang, Jian-Li Hu, Wen-Dong Liu, Ying Wu, Kathleen H. Reilly, Tong-Qian Shen, Yang Zhao, Zhi-Hang Peng, Rong-Bin Yu, Hua Wang, Hong-Bing Shen, Feng Chen
    279-288
    01-05-2013
    https://doi.org/10.4081/gh.2013.86
    3065
    PDF: 1384
  • Identifying areas of Australia at risk of H5N1 avian influenza infection from exposure to migratory birds: a spatial analysis

    Iain J. East, Samuel Hamilton, Graeme Garner
    203-213
    01-05-2008
    https://doi.org/10.4081/gh.2008.244
    2157
    PDF: 1306
  • 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
    3131
    PDF: 1394
    HTML: 229
  • 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
    4354
    PDF: 2062
    HTML: 1409
  • 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
    2058
    PDF: 1021
  • Spatial association between COVID-19 incidence rate and nighttime light index

    Amornrat Luenam, Nattapong Puttanapong
    18-03-2022
    https://doi.org/10.4081/gh.2022.1066
    2487
    PDF: 776
    HTML: 102
  • 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
    4286
    PDF: 1458
  • 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
    2644
    PDF: 1137
  • 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
    1897
    PDF: 1076
    HTML: 178
  • 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
    4939
    PDF: 1262
  • TerraSAR-X high-resolution radar remote sensing: an operational warning system for Rift Valley fever risk

    Cécile Vignolles, Yves M. Tourre, Oscar Mora, Laurent Imanache, Murielle Lafaye
    23-31
    01-11-2010
    https://doi.org/10.4081/gh.2010.184
    1674
    PDF: 996
  • Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

    Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein
    26-11-2024
    https://doi.org/10.4081/gh.2024.1265
    1064
    PDF: 384
    Supplementary Materials: 167
    HTML: 32
  • Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

    Tris Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, Kemal N. Siregar, Muhammad Nur Aidi, Dr. Minarto, Diah Mulyawati Utari, Martya Rahmaniati, Harimat Hendarwan
    17-05-2022
    https://doi.org/10.4081/gh.2022.1055
    4400
    PDF: 2355
    HTML: 133
  • Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

    Emily Phaboutdy, Michael Ward
    04-07-2024
    https://doi.org/10.4081/gh.2024.1282
    2643
    PDF: 871
    HTML: 43
  • Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

    Guillermo Albrieu-Llinás, Manuel O. Espinosa, Agustín Quaglia, Marcelo Abril, Carlos Marcelo Scavuzzo
    07-05-2018
    https://doi.org/10.4081/gh.2018.654
    3290
    PDF: 1592
    HTML: 206
  • Access to the COVID-19 services during the pandemic - a scoping review

    Ahmad Raeesi, Behzad Kiani, Azam Hesami, Ladan Goshayeshi, Neda Firouraghi, Shahab MohammadEbrahimi, Soheil Hashtarkhani
    28-03-2022
    https://doi.org/10.4081/gh.2022.1079
    2686
    PDF: 912
    Appendix: 367
    HTML: 133
  • 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
    3993
    PDF: 1477
    HTML: 942
  • Strengthening disease control and trade through zoning and biosecurity

    Nicola Ferrè, Guido Di Martino, Benedetta Cappelletti, Carlotta Ferroni, Marija Korac, Paolo Tizzani, Federica Sbettega, Giovanni Cattoli
    13-05-2026
    https://doi.org/10.4081/gh.2026.1391
    199
    PDF: 168
    HTML: 32
  • 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
    4666
    PDF: 836
    HTML: 117
  • 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
    7058
    PDF: 2802
    APPENDIX: 411
    HTML: 503
  • Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

    François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira
    11-05-2017
    https://doi.org/10.4081/gh.2017.450
    3274
    PDF: 1994
    HTML: 1403
  • Health, environmental change and adaptive capacity; mapping, examining and anticipating future risks of water-related vector-borne diseases in eastern Africa

    David Taylor, Stefan Kienberger, Jack B. Malone, Adrian M. Tompkins
    18-02-2016
    https://doi.org/10.4081/gh.2016.464
    3764
    PDF: 1722
    HTML: 1122
  • Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

    Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah
    18-05-2022
    https://doi.org/10.4081/gh.2022.1048
    2377
    PDF: 1683
    HTML: 154
  • 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
    3803
    PDF: 1629
    Supplementary Materials: 222
    HTML: 144
  • 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
    788
    PDF: 312
    HTML: 18
  • The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

    Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang
    29-11-2016
    https://doi.org/10.4081/gh.2016.480
    3376
    PDF: 1088
    HTML: 938
  • Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

    Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel
    31-05-2016
    https://doi.org/10.4081/gh.2016.405
    3533
    PDF: 1171
    HTML: 1468
  • 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
    770
    PDF: 287
    HTML: 12
  • Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping

    Bart Roelofs, Gerd Weitkamp
    23-10-2024
    https://doi.org/10.4081/gh.2024.1287
    1311
    PDF: 529
    Supplementary Materials: 212
    HTML: 457
  • The impact of COVID-19 on healthcare coverage and access in racial and ethnic minority populations in the United States

    Lauren Freelander, David S. Rickless, Corey Anderson, Frank Curriero, Sarah Rockhill, Amir Mirsajedin, Caleb J. Colón, Jasmine Lusane, Alexander Vigo-Valentín, David Wong
    27-12-2023
    https://doi.org/10.4081/gh.2023.1222
    4014
    PDF: 1235
    HTML: 92
  • Geospatial assessment of dengue fever risk and spatial patterns in Phayao Province, Thailand

    Phaisarn Jeefoo, Watcharaporn Preedapirom Jeefoo, Sakorn Mekruksavanich, Kanchana Nakhapakorn
    23-07-2026
    https://doi.org/10.4081/gh.2026.1497
    224
    PDF: 184
    HTML: 4
  • Impact of socio-economic environment and its interaction on the initial spread of COVID-19 in mainland China

    Mao Guo, Lin Yang, Feixue Shen, Lei Zhang, Anqi Li, Yanyan Cai, Chenghu Zhou
    18-03-2022
    https://doi.org/10.4081/gh.2022.1060
    1489
    PDF: 634
    HTML: 40
  • Distribution of bovine Fasciola gigantica (Cobbold, 1885) in the district des Savanes, northern Côte d'Ivoire

    Seïdinan I. Traoré, Louise Y. Achi, Stefanie J. Krauth, Moussa Sanogo, Jakob Zinsstag, Jürg Utzinger, Eliézer K. N'Goran
    03-11-2021
    https://doi.org/10.4081/gh.2021.976
    2306
    PDF: 802
    HTML: 179
  • Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

    Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam
    07-05-2018
    https://doi.org/10.4081/gh.2018.613
    2471
    PDF: 1391
    HTML: 342
  • 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
    3065
    PDF: 1234
    HTML: 958
  • 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
    3426
    PDF: 1573
    HTML: 1494
  • 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
    415
    PDF: 323
    HTML: 15
  • Remotely identifying potential vector habitat in areas of refugee and displaced person populations due to the Syrian civil war

    Samuel N. Chambers, Joseph A. Tabor
    09-11-2018
    https://doi.org/10.4081/gh.2018.670
    2242
    PDF: 1137
    HTML: 57
  • From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

    Behzad Kiani, Colleen Lau, Robert Bergquist
    26-10-2023
    https://doi.org/10.4081/gh.2023.1247
    2274
    PDF: 977
    HTML: 47
  • Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

    Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman
    11-05-2022
    https://doi.org/10.4081/gh.2022.1025
    2213
    PDF: 997
    Annex I-VI: 201
    HTML: 81
  • Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

    Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge
    25-11-2024
    https://doi.org/10.4081/gh.2024.1243
    1732
    PDF: 718
    HTML: 125
  • Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization

    Samuel F. Atkinson, Abhishek K. Kala, Chetan Tiwari
    17-02-2022
    https://doi.org/10.4081/gh.2022.1056
    2451
    PDF: 468
    HTML: 64
  • Spatial analysis of congenital heart disease in São Paulo State, Brazil 2012-2022: associations with air pollution, maternal factors and social vulnerability

    Amarílis Bahia Bezerra, Ligia Vizeu Barrozo, Alfredo Pereira de Queiroz
    18-09-2025
    https://doi.org/10.4081/gh.2025.1407
    946
    PDF: 573
    HTML: 28
  • Detection of spatial aggregation of cases of cancer from data on patients and health centres contained in the Minimum Basic Data Set

    Pablo Fernández-Navarro, Jose-Miguel Sanz-Anquela, Angel Sánchez Pinilla, Rosario Arenas Mayorga, Carmen Salido-Campos, Gonzalo Lòpez-Abente
    07-05-2018
    https://doi.org/10.4081/gh.2018.616
    2021
    PDF: 1020
    SUPPLEMENTARY: 444
    HTML: 147
  • A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

    Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass
    08-11-2017
    https://doi.org/10.4081/gh.2017.588
    3327
    PDF: 1455
    HTML: 1047
  • 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
    2786
    PDF: 1461
    HTML: 1483
  • Climate and the distribution of vector-borne diseases: what's in store?

    Robert Bergquist
    08-05-2017
    https://doi.org/10.4081/gh.2017.549
    3478
    PDF: 1554
    HTML: 857
  • Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

    Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani
    17-10-2023
    https://doi.org/10.4081/gh.2023.1205
    1510
    PDF: 748
    HTML: 363
  • 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
    3130
    PDF: 1186
    HTML: 712
  • Malaria risk map for India based on climate, ecology and geographical modelling

    Soma Sarkar, Poonam Singh, Mercy Aparna L. Lingala, Preeti Verma, Ramesh C. Dhiman
    06-11-2019
    https://doi.org/10.4081/gh.2019.767
    7146
    PDF: 2467
    HTML: 13676
  • Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

    José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega
    17-05-2022
    https://doi.org/10.4081/gh.2022.1087
    1902
    PDF: 1184
    Appendix: 216
    HTML: 79
  • Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

    Shenglai Yin, Yanjie Xu, Nyambyar Batbayar, John Y. Takekawa, Yali Si, Diann J. Prosser, Scott H. Newman, Herbert H.T. Prins, Willem F. de Boer
    11-05-2021
    https://doi.org/10.4081/gh.2021.909
    2041
    PDF: 1005
    HTML: 66
  • 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
    2104
    PDF: 1056
    HTML: 379
  • Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

    Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard
    04-11-2015
    https://doi.org/10.4081/gh.2015.336
    2729
    PDF: 1296
    HTML: 1138
  • Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad

    Kella Douzouné, Joseph Oloukoi, Ismaila Toko Imorou, Toure Gorgui Ba, Derrick Chefor Ymele Demeveng
    03-02-2025
    https://doi.org/10.4081/gh.2025.1365
    3987
    PDF: 1496
    Supplementary Materials: 640
    HTML: 207
  • 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
    3121
    PDF: 1891
    HTML: 234
  • The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

    Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum
    08-05-2018
    https://doi.org/10.4081/gh.2018.623
    3295
    PDF: 1589
    HTML: 599
  • 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
    3567
    PDF: 1154
    Supplementary Materials: 606
    HTML: 263
  • 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
    1695
    PDF: 786
    Supplementary Materials: 149
    HTML: 26
  • Climate impact on malaria in northern Burkina Faso

    Yves M. Tourre, Cécile Vignolles, Christian Viel, Flore Mounier
    27-11-2017
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    31-05-2016
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  • 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
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  • Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia

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  • Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

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Geospatial Health
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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
Vol. 21 No. 2 (2026)
Ten common pitfalls in spatial epidemiology and how to avoid them
Behzad Kiani et al.
1 September 2026
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Synergistic drivers of Lyme disease emergence in North America: an eco-syndemic review
Michael F. Ojo et al.
4 August 2026

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