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eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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

    Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta
    07-05-2018
    https://doi.org/10.4081/gh.2018.642
    2414
    PDF: 1012
    APPENDIX: 450
    HTML: 121
  • 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
    3768
    PDF: 2183
    HTML: 1268
  • 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
    2283
    PDF: 1302
    HTML: 332
  • Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

    Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz
    04-06-2025
    https://doi.org/10.4081/gh.2025.1292
    1659
    PDF: 425
    HTML: 44
  • 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
    2690
    PDF: 1177
    Supplementary Materials: 187
    HTML: 103
  • Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

    Farah Kristiani, I Gede Nyoman Mindra Jaya, Robyn Irawan, Inanta Maria Priscilia
    02-02-2026
    https://doi.org/10.4081/gh.2026.1461
    443
    PDF: 184
    Supplementary materials: 30
    HTML: 4
  • 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
    3421
    PDF: 1343
    HTML: 860
  • 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
    1692
    PDF: 790
    HTML: 14
  • 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
    2699
    PDF: 890
    Supplementary Materials: 362
    HTML: 125
  • 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
    5319
    PDF: 1976
    HTML: 1026
  • 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
    1109
    PDF: 527
    HTML: 52
  • 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
    1905
    PDF: 850
    Annex I-VI: 155
    HTML: 69
  • 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
    4056
    PDF: 1570
    APPENDIX: 548
    HTML: 1540
  • 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
    530
    PDF: 314
    HTML: 27
  • 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
    3046
    PDF: 1453
    HTML: 548
  • Spatio-temporal patterns of dengue in Malaysia: combining address and sub-district level

    Cheong Y. Ling, Oliver Gruebner, Alexander Krämer, Tobia Lakes
    131-140
    01-11-2014
    https://doi.org/10.4081/gh.2014.11
    3841
    PDF: 2111
  • Mosquito habitat and dengue risk potential in Kenya: alternative methods to traditional risk mapping techniques

    David F. Attaway, Kathryn H. Jacobsen, Allan Falconer, Germana Manca, Lauren Rosenshein Bennett, Nigel M. Waters
    119-130
    01-11-2014
    https://doi.org/10.4081/gh.2014.10
    3386
    PDF: 1677
  • Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

    Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho
    02-09-2025
    https://doi.org/10.4081/gh.2025.1403
    792
    PDF: 276
    HTML: 44
  • 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
    3070
    PDF: 1418
    HTML: 196
  • Geographical distribution of the association between El Niño South Oscillation and dengue fever in the Americas: a continental analysis using geographical information system-based techniques

    Marcos C. Ferreira
    141-151
    01-11-2014
    https://doi.org/10.4081/gh.2014.12
    3490
    PDF: 1946
  • Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis

    Mathuros Tipayamongkholgul, Sunisa Lisakulruk
    191-198
    01-05-2011
    https://doi.org/10.4081/gh.2011.171
    4212
    PDF: 1699
  • Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

    Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel
    29-12-2020
    https://doi.org/10.4081/gh.2020.887
    2955
    PDF: 1104
    HTML: 68
  • Risk mapping of dengue in Selangor and Kuala Lumpur, Malaysia

    Hafiz Hassan, Shamarina Shohaimi, Nor R. Hashim
    21-25
    01-11-2012
    https://doi.org/10.4081/gh.2012.101
    7046
    PDF: 3480
  • An operative dengue risk stratification system in Argentina based on geospatial technology

    Ximena Porcasi, Camilo H. Rotela, María V. Introini, Nicolás Frutos, Sofía Lanfri, Gonzalo Peralta, Estefanía A. De Elia, Mario A. Lanfri, Carlos M. Scavuzzo
    S31-S42
    01-09-2012
    https://doi.org/10.4081/gh.2012.120
    3106
    PDF: 1687
  • 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
    1615
    PDF: 719
    HTML: 43
  • Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

    Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg
    29-10-2024
    https://doi.org/10.4081/gh.2024.1284
    6413
    PDF: 800
    Supplementary Materials: 252
    HTML: 114
  • Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

    Hassan M. Khormi, Lalit Kumar
    405-415
    01-05-2014
    https://doi.org/10.4081/gh.2014.29
    10076
    PDF: 4798
  • A WebGIS tool for visualizing and exploring socioeconomic vulnerability to dengue fever in Cali, Colombia

    Stefan Kienberger, Michael Hagenlocher, Eric Delmelle, Irene Casas
    313-316
    01-11-2013
    https://doi.org/10.4081/gh.2013.76
    3009
    PDF: 1748
  • Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters

    Muhammad Shahzad Sarfraz, Nagesh K. Tripathi, Fazlay S. Faruque, Usama Ijaz Bajwa, Asanobu Kitamoto, Marc Souris
    S685-S697
    01-12-2014
    https://doi.org/10.4081/gh.2014.297
    10960
    PDF: 2770
  • Spatial pattern of dengue cases: An analysis in Bangi District, Selangor, Malaysia

    Nuriah Abd Majid, Ruslan Rainis, Mazrura Sahani, Ahmad Fariz Mohamed, Sarah Aziz Abdul Ghani Aziz, Nurafiqah Muhamad Nazi
    11-03-2021
    https://doi.org/10.4081/gh.2021.915
    2738
    PDF: 1181
    HTML: 158
  • 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
    6517
    PDF: 2582
    APPENDIX: 334
    HTML: 481
  • 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
    3427
    PDF: 1361
  • Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale

    Yubing Qu, Xun Shi, Yong Wang, Rendong Li, Liang Lu, Qiyong Liu
    09-11-2018
    https://doi.org/10.4081/gh.2018.682
    3331
    PDF: 1612
    HTML: 186
  • Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study

    Hassan M. Khormi, Lalit Kumar, Ramze A. Elzahrany
    77-84
    01-11-2011
    https://doi.org/10.4081/gh.2011.159
    2924
    PDF: 1393
  • 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
    6456
    PDF: 2008
    HTML: 2186
  • Urban gentrification and infectious diseases: an interdisciplinary narrative review

    Behzad Kiani, Gabriel Parker, Senobar Naderian, Colleen L. Lau, Benn Sartorius
    07-07-2025
    https://doi.org/10.4081/gh.2025.1388
    1273
    PDF: 531
    HTML: 86
  • 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
    4019
    PDF: 1270
    APPENDIX: 540
    HTML: 955
  • Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

    Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari
    03-09-2024
    https://doi.org/10.4081/gh.2024.1318
    1737
    PDF: 808
    HTML: 110
  • Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

    Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya
    31-03-2016
    https://doi.org/10.4081/gh.2016.379
    6367
    PDF: 2322
    Appendix: 627
    HTML: 3320
    Appendix: 247
  • Characterising the spatial dynamics of sympatric Aedes aegypti and Aedes albopictus populations in the Philippines

    Jennifer Duncombe, Fe Espino, Kristian Marollano, Aldwin Velazco, Scott A. Ritchie, Wenbiao Hu, Philip Weinstein, Archie C. A. Clements
    255-265
    01-11-2013
    https://doi.org/10.4081/gh.2013.71
    3132
    PDF: 1826
  • 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
    2165
    PDF: 779
    Supplementary materials: 190
    HTML: 110
  • 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
    3802
    PDF: 1852
    HTML: 2243
  • Spatio-temporal analysis of tuberculosis incidence in North Aceh District, Indonesia 2019-2021

    Farrah Fahdhienie, Frans Yosep Sitepu
    29-11-2022
    https://doi.org/10.4081/gh.2022.1148
    2352
    PDF: 1571
    HTML: 135
  • 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
    2422
    PDF: 1071
    HTML: 661
  • Operational satellite-based temporal modelling of Aedes population in Argentina

    Manuel Espinosa, Eliana Marina Alvarez Di Fino, Marcelo Abril, Mario Lanfri, Maria Victoria Periago, Carlos Marcelo Scavuzzo
    09-11-2018
    https://doi.org/10.4081/gh.2018.734
    2010
    PDF: 1220
    HTML: 64
  • Spatial Bayesian semi-parametric Cox-Leroux modelling of stroke patient hospitalization: aspects on survival

    Aswi Aswi, Bobby Poerwanto, Nurussyariah Hammado, Nurwan Nurwan, Oktaviana Oktaviana, Siti Djawijah, Susanna Cramb
    21-07-2025
    https://doi.org/10.4081/gh.2025.1380
    881
    PDF: 352
    HTML: 31
  • 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
    1379
    PDF: 572
    HTML: 17
  • Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

    I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular
    22-03-2022
    https://doi.org/10.4081/gh.2022.1070
    1519
    PDF: 530
    HTML: 38
  • Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

    Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima
    14-01-2022
    https://doi.org/10.4081/gh.2022.1000
    2671
    PDF: 545
    HTML: 52
  • 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
    2638
    PDF: 1021
    HTML: 62
  • Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

    Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ângela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus
    18-05-2015
    https://doi.org/10.4081/gh.2015.303
    4852
    PDF: 1984
    HTML: 1087
  • Response to Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk

    Mathuros Tipayamongkholgul, Sunisa Lisakulruk
    4
    01-11-2011
    https://doi.org/10.4081/gh.2011.151
    990
    PDF: 748
  • 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
    1416
    PDF: 398
    HTML: 84
  • Rift Valley fever dynamics in Senegal: a project for pro-active adaptation and improvement of livestock raising management

    Murielle Lafaye, Baba Sall, Youssou Ndiaye, Cécile Vignolles, Yves M. Tourre, François Borchi, Jean-Michel Soubeyroux, Mawlouth Diallo, Ibrahima Dia, Yamar Ba, Abdoulaye Faye, Taibou Ba, Alioune Ka, Jacques-André Ndione, Hélène Gauthier, Jean-Pierre Lacaux
    279-288
    01-11-2013
    https://doi.org/10.4081/gh.2013.73
    2258
    PDF: 1378
  • Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk

    Subhash C. Arya, Nirmala Agarwal
    3
    01-11-2011
    https://doi.org/10.4081/gh.2011.150
    1095
    PDF: 826
  • 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
    1665
    PDF: 944
    Appendix: 177
    HTML: 65
  • Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia

    Heni Prasetyowati, Pandji Wibawa Dhewantara, Joni Hendri, Endang Puji Astuti, Yalemzewod Assefa Gelaw, Harapan Harapan, Mara Ipa, Widyastuti Widyastuti, Dwi Oktavia Tatri Lestari Handayani, Ngabila Salama, Mirsal Picasso
    12-03-2021
    https://doi.org/10.4081/gh.2021.948
    3525
    PDF: 1493
    Appendix: 153
    HTML: 77
  • Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

    Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero
    31-05-2016
    https://doi.org/10.4081/gh.2016.410
    2262
    PDF: 1111
    HTML: 910
  • Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record

    Ajib Diptyanusa, Lutfan Lazuardi, Retnadi Heru Jatmiko
    17-06-2020
    https://doi.org/10.4081/gh.2020.862
    2533
    PDF: 1268
    HTML: 172
  • Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

    Roseane Campos, Márcio Santos, Gabriel Tunon, Luana Cunha, Lucas Magalhães, Juliana Moraes, Danielle Ramalho, Sanmy Lima, José Antônio Pacheco, Michael Lipscomb, Amélia Ribeiro de Jesus, Roque Pacheco de Almeida
    11-05-2017
    https://doi.org/10.4081/gh.2017.503
    5550
    PDF: 2153
    HTML: 1149
  • Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina, Brazil, from 2000 to 2016

    Ana Elisa Pereira Silva, Francisco Chiaravalloti Neto, Gleice Margarete de Souza Conceição
    26-11-2020
    https://doi.org/10.4081/gh.2020.903
    2804
    PDF: 1134
    HTML: 60
  • The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

    Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani
    04-06-2025
    https://doi.org/10.4081/gh.2025.1386
    2539
    PDF: 496
    HTML: 34
  • Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

    Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard
    08-05-2017
    https://doi.org/10.4081/gh.2017.505
    3411
    PDF: 1599
    HTML: 1040
  • 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
    3008
    PDF: 1500
    HTML: 815
  • The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

    Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi
    29-11-2022
    https://doi.org/10.4081/gh.2022.1110
    1513
    PDF: 939
    HTML: 39
  • Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

    Prakash Madhav Nimbalkar, Nitin Kumar Tripathi
    21-11-2016
    https://doi.org/10.4081/gh.2016.447
    2359
    PDF: 1344
    HTML: 1145
  • Revealed access to haemodialysis facilities in northeastern Iran: Factors that matter in rural and urban areas

    Behzad Kiani, Nasser Bagheri, Ahmad Tara, Benyamin Hoseini, Hamed Tabesh, Mahmood Tara
    07-11-2017
    https://doi.org/10.4081/gh.2017.584
    3202
    PDF: 832
    HTML: 660
  • 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
    4013
    PDF: 1634
    HTML: 109
  • Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

    Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh
    31-03-2016
    https://doi.org/10.4081/gh.2016.406
    4134
    PDF: 1568
    HTML: 1062
  • 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

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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
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Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
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31 March 2026

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