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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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  • Spatial comparison of areas at risk for schistosomiasis in the hilly and mountainous regions in the People's Republic of China: evaluation of the long-term effect of the 10-year World Bank Loan Project

    Zhi-Jie Zhang, Rong Zhu, N. Robert Bergquist, Dong-Mei Chen, Yue Chen, Li-Juan Zhang, Jia-Gang Guo, Fei Zhao, Qing-Wu Jiang
    205-214
    01-05-2012
    https://doi.org/10.4081/gh.2012.138
    1482
    PDF: 866
  • Risk map for cutaneous leishmaniasis in Ethiopia based on environmental factors as revealed by geographical information systems and statistics

    Ahmed Seid, Endalamaw Gadisa, Teshome Tsegaw, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Asnakew Kebede, Abraham Aseffa
    377-387
    01-05-2014
    https://doi.org/10.4081/gh.2014.27
    5470
    PDF: 2502
  • 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
    2430
    PDF: 1247
    HTML: 1025
  • 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
    1937
    PDF: 858
  • Homicides of black people in Brazil: A study of different regions, using generalized additive regression models-with a geo-spatial component

    Elisângela Aparecida da Silva Lizzi, Marcos Vinicius Graciano Garrido, Larissa da Silva Xavier, Gessieli Paloma de Moraes
    05-05-2021
    https://doi.org/10.4081/gh.2021.966
    1661
    PDF: 736
    HTML: 53
  • Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA)

    Benjamin G. Jacob, Weidong Gu, Erik X. Caamano, Robert J. Novak
    157-176
    01-05-2009
    https://doi.org/10.4081/gh.2009.218
    1398
    PDF: 890
  • Spatiality in small area estimation: A new structure with a simulation study

    Yadollah Mehrabi, Amir Kavousi, Ahmad-Reza Baghestani, Mojtaba Soltani-Kermanshahi
    29-12-2020
    https://doi.org/10.4081/gh.2020.872
    1046
    PDF: 485
    Supplementary materials: 140
    HTML: 11
  • Increased cancer mortality in Taiwanese inter-island migrants

    Meng-Kan Chen, Hsiu-Hsi Chen
    251-263
    01-05-2013
    https://doi.org/10.4081/gh.2013.84
    1268
    PDF: 774
  • 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
    2363
    PDF: 569
    HTML: 76
  • A spatial, statistical approach to map the risk of milk contamination by β-hexachlorocyclohexane in dairy farms

    Sabrina Battisti, Antonino Caminiti, Giancarlo Ciotoli, Valentina Panetta, Pasquale Rombolá, Marcello Sala, Alessandro Ubaldi, Paola Scaramozzino
    77-86
    01-11-2013
    https://doi.org/10.4081/gh.2013.56
    1949
    PDF: 1068
  • The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

    N. Sogoba, P. Vounatsou, M.M. Bagayoko, S. Doumbia, G. Dolo, L. Gosoniu, S.F. Traore, Y.T. Toure, T. Smith
    213-222
    01-05-2007
    https://doi.org/10.4081/gh.2007.269
    2420
    PDF: 896
  • 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
    962
    PDF: 264
    HTML: 76
  • Ecological factors associated with pandemic influenza A (H1N1) hospitalization rates in California, USA: a geospatial analysis

    Paul J. Maliszewski, Ran Wei
    95-105
    01-11-2011
    https://doi.org/10.4081/gh.2011.161
    1630
    PDF: 996
  • COVID-19, air quality and space monitoring

    Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak
    06-04-2022
    https://doi.org/10.4081/gh.2022.1052
    1495
    PDF: 446
    HTML: 20
  • Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

    Federica Giardina, Jonas Franke, Penelope Vounatsou
    26-11-2015
    https://doi.org/10.4081/gh.2015.333
    3469
    PDF: 1489
    HTML: 1179
  • Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

    Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato
    25-05-2023
    https://doi.org/10.4081/gh.2023.1203
    745
    PDF: 505
    HTML: 9
  • Spatial clusters of life expectancy and association with cardiovascular disease mortality and cancer mortality in the contiguous United States: 1980-2014

    Raid W. Amin, Julia Steinmetz
    14-05-2019
    https://doi.org/10.4081/gh.2019.733
    1957
    PDF: 1025
    HTML: 73
  • Cluster detection of diseases in heterogeneous populations: an alternative to scan methods

    Rebeca Ramis, Diana Gomez-Barroso, Gonzalo Lòpez-Abente
    517-526
    01-05-2014
    https://doi.org/10.4081/gh.2014.41
    1692
    PDF: 1001
  • Examination of multidimensional geographic mobility and sexual behaviour among Black cisgender sexually minoritized men in Chicago

    Aleya Khalifa, Byoungjun Kim, Seann Regan, Tyrone Moline, Basile Chaix, Yen-Tyng Chen, John Schneider, Dustin T. Duncan
    16-05-2024
    https://doi.org/10.4081/gh.2024.1273
    1238
    PDF: 551
    HTML: 51
  • Water quality and health in a Sahelian semi-arid urban context: an integrated geographical approach in Nouakchott, Mauritania

    Doulo Traoré, Ibrahima Sy, Jürg Utzinger, Michael Epprecht, Ives M. Kengne, Baidy Lô, Peter Odermatt, Ousmane Faye, Guéladio Cissé, Marcel Tanner
    53-63
    01-11-2013
    https://doi.org/10.4081/gh.2013.54
    2111
    PDF: 1160
  • 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
    896
    PDF: 666
  • 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
    1445
    PDF: 671
    HTML: 22
  • Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

    Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.429
    2584
    PDF: 1171
    APPENDIX: 608
    HTML: 1441
  • 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
    1493
    PDF: 463
    HTML: 36
  • Analysis of the relationship between life expectancy and social determinants in a north-eastern region of Brazil, 2010-2017

    Andrezza Marques Duque, Marcus Valerius Peixoto, Shirley V.M.A Lima, Marco Aurélio O. Goes, Allan D. Santos, Karina Conceição Gomes Machado Araújo, Marco Antonio P. Nunes
    12-11-2018
    https://doi.org/10.4081/gh.2018.702
    26235
    PDF: 1259
    HTML: 178
  • 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
    1228
    PDF: 350
    HTML: 148
  • Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogs

    Yan Liu, Shila K. Nordone, Michael J. Yabsley, Robert B. Lund, Christopher S. McMahan, Jenna R. Gettings
    14-05-2019
    https://doi.org/10.4081/gh.2019.750
    6553
    PDF: 2085
    APPENDIX: 304
    HTML: 327
  • 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
    3119
    PDF: 1423
    HTML: 1027
  • 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
    3582
    PDF: 1686
    HTML: 2224
  • Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

    Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang
    07-05-2018
    https://doi.org/10.4081/gh.2018.653
    2261
    PDF: 1210
    HTML: 205
  • Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

    Gerardo Núñez Medina
    17-05-2022
    https://doi.org/10.4081/gh.2022.1080
    1035
    PDF: 531
    HTML: 107
  • A spatial analysis of referrals to a primary mental health programme in Western Sydney from 2012 to 2015

    Cailin Maas, Jose A. Salinas-Perez, Nasser Bagheri, Sebastian Rosenberg, William Campos, James A. Gillespie, Luis Salvador-Carulla
    06-11-2019
    https://doi.org/10.4081/gh.2019.773
    2159
    PDF: 866
    HTML: 27
  • Geospatial modelling to estimate the territory at risk of establishment of influenza type A in Mexico - An ecological study

    Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Verònica Gallegos-García, Claudia Elena González-Acevedo, Thuluz Meza-Menchaca, María Judith Rios-Lugo, Héctor Hernández-Mendoza
    14-05-2021
    https://doi.org/10.4081/gh.2021.956
    1837
    PDF: 541
    HTML: 26
  • 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
    2716
    PDF: 1249
    HTML: 499
  • 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
    2266
    PDF: 1165
    HTML: 968
  • 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
    948
    PDF: 519
    HTML: 146
  • 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
    949
    PDF: 485
    HTML: 7
  • A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations

    Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert
    31-03-2016
    https://doi.org/10.4081/gh.2016.390
    2574
    PDF: 1059
    HTML: 1096
  • Spatial electromagnetic field intensity modelling of global system for mobile communication base stations in the Istanbul Technical University Ayazaga campus area

    Kubra Boz, Hayri Hakan Denli
    07-05-2018
    https://doi.org/10.4081/gh.2018.527
    1373
    PDF: 761
    HTML: 101
  • 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
    1133
    PDF: 325
    Supplementary materials: 127
    HTML: 93
  • Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

    Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill
    05-07-2023
    https://doi.org/10.4081/gh.2023.1189
    1518
    PDF: 767
    HTML: 56
  • 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
    641
    PDF: 193
    Supplementary Materials: 92
    HTML: 22
  • Socioeconomic status and deaths due to unintentional injury among children: A socio-spatial analysis in Taiwan

    An-Kuo Chou, Duan-Rung Chen
    13-05-2019
    https://doi.org/10.4081/gh.2019.736
    2547
    PDF: 1274
    APPENDIX: 269
    HTML: 111
  • Immunity to poliovirus in Afghanistan: A household sampling method for serological assessment based on geographical information systems

    Amalia Mendes, Ari Whiteman, Benjamin Nygren, Brian Kaplan, Imtiaz Hussain, Sajid Soofi, Maureen Martinez, Noha H. Farag
    29-11-2022
    https://doi.org/10.4081/gh.2022.1107
    1014
    PDF: 622
    HTML: 35
  • Future Lyme disease risk in the south-eastern United States based on projected land cover

    Logan K. Stevens, Korine N. Kolivras, Yili Hong, Valerie A. Thomas, James B. Campbell, Stephen P. Prisley
    14-05-2019
    https://doi.org/10.4081/gh.2019.751
    1931
    PDF: 1147
    HTML: 73
  • Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

    Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez
    18-04-2016
    https://doi.org/10.4081/gh.2016.415
    3392
    PDF: 1696
    HTML: 2224
  • Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

    Amare Sewnet Minale, Kalkidan Alemu
    07-05-2018
    https://doi.org/10.4081/gh.2018.660
    6752
    PDF: 2248
    HTML: 1154
  • Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

    Guiming Wang
    04-11-2015
    https://doi.org/10.4081/gh.2015.357
    1968
    PDF: 1258
    HTML: 952
  • The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

    Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina
    07-11-2017
    https://doi.org/10.4081/gh.2017.581
    3375
    PDF: 1124
    HTML: 848
  • Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

    Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné
    28-08-2024
    https://doi.org/10.4081/gh.2024.1285
    1271
    PDF: 572
    HTML: 94
  • Epidemiology of canine heartworm (Dirofilaria immitis) infection in domestic dogs in Ontario, Canada: Geographic distribution, risk factors and effects of climate

    Erin McGill, Olaf Berke, Andrew S. Peregrine, J. Scott Weese
    13-05-2019
    https://doi.org/10.4081/gh.2019.741
    3733
    PDF: 2050
    HTML: 742
  • Alcohol sale status and homicide victimization in Kentucky, 2005-2012: Is there a spatial association?

    Hanan Abdulghafoor Khaleel, Sabrina Brown, Steven Fleming, W. Jay Christian
    14-05-2019
    https://doi.org/10.4081/gh.2019.747
    1416
    PDF: 802
    HTML: 27
  • Public domain small-area cancer incidence data for New York State, 2005-2009

    Francis P. Boscoe, Thomas O. Talbot, Martin Kulldorff
    18-04-2016
    https://doi.org/10.4081/gh.2016.304
    1962
    PDF: 1104
    HTML: 858
  • 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
    3061
    PDF: 1262
    Appendix: 124
    HTML: 44
  • Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia

    Al Asyary, Aries Prasetyo, Tris Eryando, Yodi Mahendradhata
    14-05-2019
    https://doi.org/10.4081/gh.2019.673
    2099
    PDF: 1098
    APPENDIX: 285
    HTML: 26
  • 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
    2983
    PDF: 978
    HTML: 23
  • Use of geographical information systems for delimiting health service areas in China

    Xuechen Xiong, Li Luo
    11-05-2017
    https://doi.org/10.4081/gh.2017.486
    2135
    PDF: 1039
    HTML: 1009
  • Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

    Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou
    18-04-2016
    https://doi.org/10.4081/gh.2016.469
    2222
    PDF: 1339
    HTML: 918
  • Modelling count data with an excess of zero values applied to childhood bone tumour incidence in Iraq

    Muzahem Mohammed Al-Hashimi, Hasmek Antranik Warttan
    12-03-2021
    https://doi.org/10.4081/gh.2021.873
    1880
    PDF: 571
    HTML: 117
  • Stunting spatial pattern in Rwanda: An examination of the demographic, socio-economic and environmental determinants

    Vestine Uwiringiyimana, Antonie Veldkamp, Sherif Amer
    06-11-2019
    https://doi.org/10.4081/gh.2019.820
    3142
    PDF: 1581
    HTML: 101
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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 20 No. 1 (2025)
Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis
Maria Camila Lesmes et al.
4 June 2025
Vol. 20 No. 1 (2025)
The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure
Nima Kianfar et al.
4 June 2025
Vol. 20 No. 1 (2025)
Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention
Mujiyanto Mujiyanto et al.
15 May 2025
Vol. 20 No. 1 (2025)
Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022
Sarayu Muntaphan et al.
13 May 2025
Vol. 20 No. 1 (2025)
Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia
Kabeya Clement Mulamba
12 May 2025
Vol. 20 No. 1 (2025)
Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
Jihong Zhang et al.
28 April 2025

Keywords

Geospatial Health

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