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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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  • Topographic distribution of gastritis in heavy pigs investigated by a geographic information system approach

    Ernesto Pascotto, Diego Capraro, Paolo Tomè, Mauro Spanghero
    31-05-2016
    https://doi.org/10.4081/gh.2016.436
    1946
    PDF: 923
    HTML: 856
  • Resources allocation in healthcare for cancer: a case study using generalised additive mixed models

    Monica Musio, Erik A. Sauleau, Nicole H. Augustin
    83-89
    01-11-2012
    https://doi.org/10.4081/gh.2012.107
    1765
    PDF: 845
  • Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018

    Qiong Zhang, Shangrui Zhu, Sue C. Grady, Anqi Wang, Hollis Hutchings, Jessica Cox, Andrew Popoff, Ikenna Okereke
    14-02-2024
    https://doi.org/10.4081/gh.2024.1219
    6227
    PDF: 837
    Supplementary Materials: 84
    HTML: 82
  • Satellite imaging and vector-borne diseases: the approach of the French National Space Agency (CNES)

    Fabienne Marechal, Nathalie Ribeiro, Murielle Lafaye, Antonio Güell
    1-5
    01-11-2008
    https://doi.org/10.4081/gh.2008.226
    2284
    PDF: 995
  • Application of a geographical information system approach for risk analysis of fascioliasis in southern Espírito Santo state, Brazil

    Isabella Vilhena Freire Martins, Barbara Rauta de Avelar, Maria Julia Salim Pereira, Adevair Henrique da Fonseca
    S87-S93
    01-09-2012
    https://doi.org/10.4081/gh.2012.126
    1829
    PDF: 906
  • Optimizing denominator data estimation through a multimodel approach

    Ward Bryssinckx, Els Ducheyne, Veerle Versteirt, Herwig Leirs, Guy Hendrickx
    573-582
    01-05-2014
    https://doi.org/10.4081/gh.2014.47
    1063
    PDF: 771
  • Analysing spatial and temporal dynamics of suicide in South Korea: An application of the dynamic spatial panel data model

    Yunho Yeom
    05-05-2021
    https://doi.org/10.4081/gh.2021.964
    2068
    PDF: 848
    HTML: 49
  • 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
    2686
    PDF: 1123
    HTML: 998
  • 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
    10401
    PDF: 2455
  • Spatial analysis of the relationship between early childhood mortality and malaria endemicity in Malawi

    Lawrence N. Kazembe, Christopher C. Appleton, Immo Kleinschmidt
    41-50
    01-11-2007
    https://doi.org/10.4081/gh.2007.253
    2527
    PDF: 1268
  • Divergent spatial patterns in the prevalence of the human immunodeficiency virus (HIV) and syphilis in South African pregnant women

    Samuel O.M. Manda, Carl J. Lombard, Thabang Mosala
    221-231
    01-05-2012
    https://doi.org/10.4081/gh.2012.140
    1604
    PDF: 1083
  • 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
    6149
    PDF: 2030
    HTML: 11894
  • Common errors in disease mapping

    Ricardo Ocaña-Riola
    139-154
    01-05-2010
    https://doi.org/10.4081/gh.2010.196
    3199
    PDF: 1041
  • Importance of individual analysis of environmental and climatic factors affecting the density of Leishmania vectors living in the same geographical area: the example of Phlebotomus ariasi and P. perniciosus in northeast Spain

    Cristina Ballart, Irene Guerrero, Xavier Castells, Sergio Baròn, Soledad Castillejo, M. Magdalena Alcover, Montserrat Portús, Montserrat Gállego
    389-403
    01-05-2014
    https://doi.org/10.4081/gh.2014.28
    2638
    PDF: 1096
  • Spatial clustering of colorectal cancer in Malaysia

    Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1158
    1288
    PDF: 552
    HTML: 6
  • Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

    Ândria Silveira Almeida, Caíque Jordan Nunes Ribeiro, Camila Caroline Carlini, Rogério Silva Santos, Allan Dantas dos Santos, Débora Santos Tavares, Karina Conceição Gomes Machado de Araújo, Tatiana Rodrigues de Moura, Priscila Lima dos Santos
    11-01-2021
    https://doi.org/10.4081/gh.2020.885
    1626
    PDF: 752
    HTML: 34
  • 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
    2248
    PDF: 800
  • 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
    2585
    PDF: 1196
  • A geospatial model to determine the spatial cost-efficiency of anticoagulation drug therapy: Patients' perspective

    Mikko Pyykönen, Aapeli Leminen, Juho Tynkkynen, Markku Tykkyläinen, Tiina Laatikainen
    06-11-2019
    https://doi.org/10.4081/gh.2019.809
    1843
    PDF: 755
    HTML: 26
  • Long-term exposure to gaseous air pollutants and cardio-respiratory mortality in Brisbane, Australia

    Xiao Yu Wang, Wenbiao Hu, Shilu Tong
    257-263
    01-05-2009
    https://doi.org/10.4081/gh.2009.225
    1613
    PDF: 1019
  • When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilisation

    Carla Shoff, Vivian Yi-Ju Chen, Tse-Chuan Yang
    557-568
    01-05-2014
    https://doi.org/10.4081/gh.2014.45
    2086
    PDF: 996
  • Geospatial Health: achievements, innovations, priorities

    Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla
    25-10-2024
    https://doi.org/10.4081/gh.2024.1355
    1497
    PDF: 466
    HTML: 95
  • 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
    1785
    PDF: 985
    HTML: 63
  • GeoCREV: veterinary geographical information system and the development of a practical sub-national spatial data infrastructure

    Nicola Ferrè, Paolo Mulatti, Matteo Mazzucato, Monica Lorenzetto, Matteo Trolese, Dario Pandolfo, Piero Vio, Guido Sitta, Stefano Marangon
    275-283
    01-05-2011
    https://doi.org/10.4081/gh.2011.180
    1428
    PDF: 867
  • Dying in their prime: determinants and space-time risk of adult mortality in rural South Africa

    Benn Sartorius, Kathleen Kahn, Mark A. Collinson, Kurt Sartorius, Stephen M. Tollman
    237-249
    01-05-2013
    https://doi.org/10.4081/gh.2013.83
    1933
    PDF: 913
  • 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
    2221
    PDF: 1157
    HTML: 202
  • GIS modeling for canine dirofilariosis risk assessment in central Italy

    Michele Mortarino, Vincenzo Musella, Valeria Costa, Claudio Genchi, Giuseppe Cringoli, Laura Rinaldi
    253-261
    01-05-2008
    https://doi.org/10.4081/gh.2008.248
    1977
    PDF: 826
  • 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
    1444
    PDF: 755
  • Environmental determinants of Opisthorchis viverrini prevalence in northeast Thailand

    Yi-Chen Wang, Chen-Chieh Feng, Paiboon Sithithaworn
    111-123
    01-11-2013
    https://doi.org/10.4081/gh.2013.59
    2124
    PDF: 1065
  • 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
    1299
    PDF: 636
    Appendix: 97
    HTML: 55
  • 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
    1649
    PDF: 838
    HTML: 1020
  • The relative risk of spatial cluster occurrence and spatiotemporal evolution of meningococcal disease in Niger, 2002-2008

    Halima B. Maïnassara, Nicolas Molinari, Christophe Dematteï, Pascale Fabbro-Peray
    93-101
    01-11-2010
    https://doi.org/10.4081/gh.2010.190
    1194
    PDF: 794
  • Spatial patterns of Plasmodium vivax transmission explored by multivariate auto-regressive state-space modelling - A case study in Baoshan Prefecture in southern China

    Jinxin Zheng, Benyun Shi, Shang Xia, Guojing Yang, Xiao-Nong Zhou
    12-03-2021
    https://doi.org/10.4081/gh.2021.879
    1585
    PDF: 563
    HTML: 21
  • Barriers to use of geospatial data for adaptation to climate change and variability: case studies in public health

    Joan L. Aron
    11-16
    01-11-2006
    https://doi.org/10.4081/gh.2006.277
    1274
    PDF: 836
  • 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
    1575
    PDF: 870
  • Vaccine hesitancy in East Malaysia (Sabah): A survey of the national COVID-19 immunisation programme

    Adi Jafar, Mohammad Tahir Mapa, Nordin Sakke, Ramli Dollah, Eko Prayitno Joko, Colonius Atang, Syahruddin Awang Ahmad, Chong Vun Hung, Fionna Geogre
    14-01-2022
    https://doi.org/10.4081/gh.2022.1037
    5531
    PDF: 843
    HTML: 243
  • A One-Health integrated approach to control fascioliasis in the Cajamarca valley of Peru

    Laura Rinaldi, Sergio Gonzalez, Jorge Guerrero, Luisa Carol Aguilera, Vincenzo Musella, Claudio Genchi, Giuseppe Cringoli
    S67-S73
    01-09-2012
    https://doi.org/10.4081/gh.2012.124
    1796
    PDF: 1024
  • Spatial access to in-patient health care in northern rural India

    Vikram Ranga, Pradeep Panda
    545-556
    01-05-2014
    https://doi.org/10.4081/gh.2014.44
    2202
    PDF: 1275
  • 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
    1790
    PDF: 499
    HTML: 25
  • Does altitude moderate the impact of lithium on suicide? A spatial analysis of Austria

    Marco Helbich, Victor Blüml, Michael Leitner, Nestor D. Kapusta
    209-218
    01-05-2013
    https://doi.org/10.4081/gh.2013.81
    3766
    PDF: 1238
  • 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
    1443
    PDF: 398
    HTML: 19
  • A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

    Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan
    87-95
    01-11-2013
    https://doi.org/10.4081/gh.2013.57
    2275
    PDF: 1147
  • Temperature-derived potential for the establishment of phlebotomine sandflies and visceral leishmaniasis in Germany

    Dominik Fischer, Stephanie M. Thomas, Carl Beierkuhnlein
    59-69
    01-11-2010
    https://doi.org/10.4081/gh.2010.187
    2350
    PDF: 1061
  • A comparison of temporal and location-based sampling strategies for global positioning system-triggered electronic diaries

    Tobias Törnros, Helen Dorn, Markus Reichert, Ulrich Ebner-Priemer, Hans-Joachim Salize, Heike Tost, Andreas Meyer-Lindenberg, Alexander Zipf
    21-11-2016
    https://doi.org/10.4081/gh.2016.473
    5717
    PDF: 1202
    HTML: 968
  • Environmental determinants of the distribution of Chagas disease vectors in south-eastern Guatemala

    Dulce Maria Bustamante, Maria Carlota Monroy, Antonieta Guadalupe Rodas, Jaime Abraham Juarez, John B. Malone
    199-211
    01-05-2007
    https://doi.org/10.4081/gh.2007.268
    2997
    PDF: 909
  • Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

    Weerapong Thanapongtharm, Thomas P. Van Boeckel, Chandrashekhar Biradar, Xiangming Xiao, Marius Gilbert
    193-201
    01-11-2013
    https://doi.org/10.4081/gh.2013.66
    1604
    PDF: 996
  • 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
    3393
    PDF: 1138
  • Hospital distribution in a metropolitan city: assessment by a geographical information system grid modelling approach

    Kwang-Soo Lee, Kyeong-Jun Moon
    537-544
    01-05-2014
    https://doi.org/10.4081/gh.2014.43
    1771
    PDF: 1036
  • A scoping review of spatial cluster analysis techniques for point-event data

    Charles E. Fritz, Nadine Schuurman, Colin Robertson, Scott Lear
    183-198
    01-05-2013
    https://doi.org/10.4081/gh.2013.79
    6386
    PDF: 3519
  • A statistical approach to rank multiple priorities in Environmental Epidemiology: an example from high-risk areas in Sardinia, Italy

    Dolores Catelan, Annibale Biggeri
    81-89
    01-11-2008
    https://doi.org/10.4081/gh.2008.234
    1363
    PDF: 713
  • A temperature-limited assessment of the risk of Rift Valley fever transmission and establishment in the continental United States of America

    Sarah K. Konrad, Scott N. Miller
    161-170
    01-05-2012
    https://doi.org/10.4081/gh.2012.134
    1460
    PDF: 872
  • 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
    1921
    PDF: 998
  • 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
    871
    PDF: 231
    Supplementary materials: 98
    HTML: 89
  • Global spreading of Omicron variant of COVID-19

    Pengxin Zhang, Shuhan Yang, Shaoqing Dai, Darren How Jin Aik, Shujuan Yang, Peng Jia
    13-07-2022
    https://doi.org/10.4081/gh.2022.1083
    1533
    PDF: 626
    HTML: 45
  • Population-level alcohol consumption and suicide mortality rate in South Korea: An application of multivariable spatial regression model

    Yunho Yeom
    14-05-2019
    https://doi.org/10.4081/gh.2019.746
    1525
    PDF: 867
    HTML: 36
  • 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
    1668
    PDF: 801
    HTML: 288
  • Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

    Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou
    355-366
    01-05-2013
    https://doi.org/10.4081/gh.2013.92
    5049
    PDF: 1806
  • Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

    Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi
    08-06-2022
    https://doi.org/10.4081/gh.2022.1065
    756
    PDF: 304
    HTML: 18
  • Multivariate spatially-structured variability of ovine helminth infections

    Annibale Biggeri, Dolores Catelan, Emanuela Dreassi, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Giuseppe Cringoli
    97-104
    01-11-2007
    https://doi.org/10.4081/gh.2007.258
    1277
    PDF: 633
  • Retrospective and spatial analysis tools for integrated surveillance of cystic echinococcosis and bovine cysticercosis in hypo-endemic areas

    Rudi Cassini, Paolo Mulatti, Claudia Zanardello, Giulia Simonato, Manuela Signorini, Stefania Cazzin, Pier Giorgio Tambalo, Mario Cobianchi, Mario Pietrobelli, Gioia Capelli
    509-515
    01-05-2014
    https://doi.org/10.4081/gh.2014.40
    2461
    PDF: 1001
  • The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

    Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu
    29-11-2022
    https://doi.org/10.4081/gh.2022.1130
    714
    PDF: 584
    HTML: 15
  • Bayesian conditional autoregressive models to assess spatial patterns of diarrhoea risk among children under the age of 5 years in Mbour, Senegal

    Sokhna Thiam, Guéladio Cissé, Anna-Sofie Stensgaard, Aminata Niang-Diène, Jürg Utzinger, Penelope Vounatsou
    06-11-2019
    https://doi.org/10.4081/gh.2019.823
    1462
    PDF: 749
    APPENDIX: 222
    HTML: 35
  • 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
    1148
    PDF: 477
    HTML: 50
  • The Labin Region, an ecologically vulnerable geographical area in Croatia: Mortality characteristics in an area polluted by industrial over a 40-year period

    Toni Buterin, Robert Doričić, Dalibor Broznić, Tanja Ćorić, Amir Muzur
    17-05-2022
    https://doi.org/10.4081/gh.2022.1082
    803
    PDF: 378
    HTML: 61
  • A geographical information system for the management of the aquaculture data in the Adriatic Sea - the Strengthening of Centres for Aquaculture Production and Safety surveillance in the Adriatic countries experience: Present capabilities, tools and functions

    Susanna Tora, Silvio Sacchini, Eddy Listeš, Tanja Bogdanović, Alessio Di Lorenzo, Muhamed Smajlović, Ahmed Smajlović, Jelena V. Filipović, Vildana Tahirović, Danijela Å uković, Bojan Beljkas, Ardian Xinxo, Renis Maçi, Patrizia Colangeli, Federica Di Giacinto, Annamaria Conte
    08-11-2017
    https://doi.org/10.4081/gh.2017.593
    2308
    PDF: 822
    APPENDIX: 334
    HTML: 844
  • 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
    4851
    PDF: 1865
    HTML: 1137
  • Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil

    Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo
    27-11-2017
    https://doi.org/10.4081/gh.2017.570
    2878
    PDF: 767
    HTML: 861
  • Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

    Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar
    30-11-2022
    https://doi.org/10.4081/gh.2022.1097
    1994
    PDF: 734
    HTML: 110
  • 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
    1553
    PDF: 766
    SUPPLEMENTARY: 330
    HTML: 131
  • Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

    Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo
    11-05-2017
    https://doi.org/10.4081/gh.2017.523
    2714
    PDF: 1104
    HTML: 883
  • Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

    Sun-Bi Um, Jung-Sup Um
    04-11-2015
    https://doi.org/10.4081/gh.2015.382
    2935
    PDF: 1189
    HTML: 1016
  • 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
    2443
    PDF: 910
    HTML: 53
  • The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

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Geospatial Health
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Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
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Geospatial Health

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