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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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  • Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

    Brian Hendricks, Miguella Mark-Carew, Jamison Conley
    13-11-2017
    https://doi.org/10.4081/gh.2017.582
    2397
    PDF: 715
    HTML: 742
  • The potential for emergence of Chagas disease in the United States

    Rebecca Click Lambert, Korine N. Kolivras, Lynn M. Resler, Carlyle C. Brewster, Sally L. Paulson
    227-239
    01-05-2008
    https://doi.org/10.4081/gh.2008.246
    2295
    PDF: 1225
  • A geographical information system-based analysis of cancer mortality and population exposure to coal mining activities in West Virginia, United States of America

    Michael Hendryx, Evan Fedorko, Andrew Anesetti-Rothermel
    243-256
    01-05-2010
    https://doi.org/10.4081/gh.2010.204
    3471
    PDF: 1672
  • 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
    1890
    PDF: 1113
    HTML: 73
  • Global Mpox spread due to increased air travel

    Huijie Qiao, Paanwaris Paansri, Luis E. Escobar
    11-06-2024
    https://doi.org/10.4081/gh.2024.1261
    1916
    PDF: 528
    HTML: 238
  • Understanding the relationship between land use and land cover and malaria in Nepal

    Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao
    29-12-2020
    https://doi.org/10.4081/gh.2020.855
    1777
    PDF: 792
    HTML: 29
  • The effects of vegetation density and habitat disturbance on the spatial distribution of ixodid ticks (Acari: Ixodidae)

    Kenneth J. Stein, Megan Waterman, Jefferson L. Waldon
    241-252
    01-05-2008
    https://doi.org/10.4081/gh.2008.247
    2054
    PDF: 1232
  • Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

    Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist
    26-03-2025
    https://doi.org/10.4081/gh.2025.1319
    1561
    PDF: 298
    HTML: 71
  • 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
    2690
    PDF: 1125
    HTML: 998
  • Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data

    Soheil Hashtarkhani, Stephen A. Matthews, Ping Yin, Alireza Mohammadi, Shahab Mohammad Ebrahimi, Mahmood Tara, Behzad Kiani
    20-07-2023
    https://doi.org/10.4081/gh.2023.1198
    2335
    PDF: 645
    Supplementary Materials: 109
    HTML: 75
  • Spatial epidemiology of cancer: a review of data sources, methods and risk factors

    Rita Roquette, Marco Painho, Baltazar Nunes
    08-05-2017
    https://doi.org/10.4081/gh.2017.504
    7552
    PDF: 3033
    HTML: 2647
  • 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
    2485
    PDF: 1126
    APPENDIX: 383
    HTML: 1128
  • Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

    Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang
    28-11-2017
    https://doi.org/10.4081/gh.2017.611
    3512
    PDF: 756
    HTML: 717
  • 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
    1218
    PDF: 346
    HTML: 31
  • 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
    4531
    PDF: 1793
    HTML: 1078
  • 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
    2566
    PDF: 756
    HTML: 758
  • Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

    Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian
    25-05-2023
    https://doi.org/10.4081/gh.2023.1184
    2197
    PDF: 1178
    HTML: 136
  • Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

    Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1186
    1339
    PDF: 737
    HTML: 28
  • 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
    2757
    PDF: 1144
    HTML: 185
  • A spatiotemporal analysis of the social determinants of health for COVID-19

    Claire Bonzani, Peter Scull, Daisaku Yamamoto
    25-05-2023
    https://doi.org/10.4081/gh.2023.1153
    1481
    PDF: 712
    HTML: 18
  • 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
    1561
    PDF: 769
    SUPPLEMENTARY: 333
    HTML: 131
  • Spatial analysis and modelling of depression relative to social vulnerability index across the United States

    Kiara M. Rivera, Abolfazl Mollalo
    01-09-2022
    https://doi.org/10.4081/gh.2022.1132
    3552
    PDF: 1739
    HTML: 433
  • Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

    Thandi Kapwata, Michael T. Gebreslasie
    16-11-2016
    https://doi.org/10.4081/gh.2016.434
    3818
    PDF: 1493
    APPENDIX 1: 409
    APPENDIX 2: 397
    HTML: 1638
  • A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

    Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa
    28-03-2024
    https://doi.org/10.4081/gh.2024.1264
    2433
    PDF: 580
    HTML: 62
  • 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
    1217
    PDF: 523
    HTML: 11
  • Estimating population and livestock density of mobile pastoralists and sedentary settlements in the south-eastern Lake Chad area

    Vreni Jean-Richard, Lisa Crump, Abbani Alhadj Abicho, Ali Abba Abakar, Abdraman Mahamat II, Mahamat Bechir, Sandra Eckert, Matthias Engesser, Esther Schelling, Jakob Zinsstag
    18-05-2015
    https://doi.org/10.4081/gh.2015.307
    3886
    PDF: 1454
    HTML: 1457
  • Spatial association between socio-economic health service factors and sepsis mortality in Thailand

    Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm
    13-09-2023
    https://doi.org/10.4081/gh.2023.1215
    1301
    PDF: 475
    HTML: 30
1 - 27 of 27 items

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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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pISSN: 1827-1987
eISSN: 1970-7096

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