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Geospatial Health is the Journal of the GIS Laboratory at the Department of Veterinary Medicine and Animal Production, Regional Center for Monitoring Parasitic Infections (CREMOPAR), University of Naples Federico II (https://www.mvpa-unina.org).

Geospatial Health is also the official journal of the International Society of Geospatial Health (www.GnosisGIS.org). The focus of the journal is on all aspects of the application of geographical information systems, remote sensing, global positioning systems, spatial statistics and other geospatial tools in human and veterinary health. The journal publishes two issues per year.


Early Access

  • Design and implementation of a spatial database for analysis of wheelchair accessibility

    Peter Nezval, Takeshi Shirabe
    67
    PDF: 18
  • 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
    76
    PDF: 27
  • Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

    Sang Min Lee, Dong Woo Huh, Young Gyu Kwon
    411
    PDF: 81
    Supplementary materials: 13
  • Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

    Adel Al-Huraibi, Sherif Amer, Justine Blanford
    884
    PDF: 236
    HTML: 0
  • Impact of climate change on dengue fever: a bibliometric analysis

    Mai Liu, Yin Zhang
    1132
    PDF: 358
    Supplementary Materials: 190
    HTML: 5
  • The future of general practitioner care in Lower Saxony, Germany: an analysis of actual vs target states using a GIS-based floating catchment area method

    Jonas Schoo, Frank Schüssler
    1075
    PDF: 310
    HTML: 3
  • Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

    Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Sheheen A. Abdulkareem, Raul Zurita Milla
    1105
    PDF: 283
    Supplementary Materials: 188
    HTML: 108
  • 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
    2251
    PDF: 812
    Supplementary Materials: 442
    HTML: 104
  • 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
    1812
    PDF: 588
    Supplementary Materials: 404
    HTML: 150
  • Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020

    Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez
    2783
    PDF: 1093
    HTML: 158
  • Geographic distribution and demographic factors associated with use of a long-acting reversible contraceptive (LARC) in Ethiopia

    Mintesnot Tenkir Teni, Travis Loux, Ness Sandoval, Anne Sebert Kuhlmann
    2584
    PDF: 984
    HTML: 1051
  • Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

    Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai
    744
    PDF: 155
    Supplementary Materials: 38
    HTML: 3
  • Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

    Xiaodi Su, Chunxia Qiu, Chunhui Liu
    848
    PDF: 182
    HTML: 2
  • Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand

    Phuricha Phacharathonphakul, Kittipong Sornlorm
    1013
    PDF: 222
    HTML: 21
  • Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

    Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge
    802
    PDF: 225
    HTML: 24
  • Associating socio-economic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa

    Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael
    990
    PDF: 275
    HTML: 49
  • Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan

    Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov
    892
    PDF: 261
    HTML: 39