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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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  • 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
    2590
    PDF: 1378
  • 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
    1627
    PDF: 1163
  • 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
    6270
    PDF: 2164
    HTML: 12268
  • Common errors in disease mapping

    Ricardo Ocaña-Riola
    139-154
    01-05-2010
    https://doi.org/10.4081/gh.2010.196
    3239
    PDF: 1094
  • 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
    2712
    PDF: 1198
  • 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
    1352
    PDF: 615
    HTML: 10
  • 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
    1704
    PDF: 824
    HTML: 35
  • 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
    2314
    PDF: 884
  • 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
    2612
    PDF: 1282
  • 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
    1873
    PDF: 860
    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
    1650
    PDF: 1093
  • 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
    2139
    PDF: 1048
  • 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
    1557
    PDF: 510
    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
    1809
    PDF: 1053
    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
    1466
    PDF: 960
  • 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
    1998
    PDF: 992
  • 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
    2267
    PDF: 1218
    HTML: 205
  • 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
    2023
    PDF: 877
  • 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
    1486
    PDF: 878
  • 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
    2163
    PDF: 1139
  • 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
    1345
    PDF: 706
    Appendix: 121
    HTML: 57
  • 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
    1669
    PDF: 885
    HTML: 1022
  • 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
    1222
    PDF: 891
  • 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
    1629
    PDF: 645
    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
    1312
    PDF: 868
  • 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
    1610
    PDF: 922
  • 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
    5648
    PDF: 943
    HTML: 257
  • 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
    1852
    PDF: 1127
  • 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
    2280
    PDF: 1391
  • 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
    1841
    PDF: 545
    HTML: 26
  • 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
    3861
    PDF: 1321
  • 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
    1528
    PDF: 450
    HTML: 20
  • 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
    2319
    PDF: 1226
  • 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
    2397
    PDF: 1142
  • 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
    5794
    PDF: 1287
    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
    3092
    PDF: 962
  • 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
    1642
    PDF: 1049
  • 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
    3495
    PDF: 1198
  • 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
    1789
    PDF: 1115
  • 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
    6568
    PDF: 3638
  • 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
    1394
    PDF: 742
  • 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
    1505
    PDF: 941
  • 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
    1959
    PDF: 1075
  • 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
    1176
    PDF: 339
    Supplementary materials: 130
    HTML: 95
  • 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
    1608
    PDF: 694
    HTML: 47
  • 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
    1556
    PDF: 914
    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
    1716
    PDF: 847
    HTML: 295
  • 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
    5227
    PDF: 1874
  • 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
    819
    PDF: 389
    HTML: 19
  • 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
    1300
    PDF: 712
  • 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
    2501
    PDF: 1055
  • Mapping the potential distribution of the schistosomiasis intermediate host Biomphalaria straminea in China

    Jingyu Fan, Xuejiao Yuan, Menglin Wang, Gengping Zhu
    09-11-2018
    https://doi.org/10.4081/gh.2018.723
    2074
    PDF: 1044
    APPENDIX: 308
    HTML: 104
  • Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China

    Guo-Jing Yang, Penelope Vounatsou, Marcel Tanner, Xiao-Nong Zhou, Jürg Utzinger
    85-92
    01-11-2006
    https://doi.org/10.4081/gh.2006.283
    2323
    PDF: 1023
  • Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state

    Laura Delgado-Petrocelli, Alberto Camardiel, Víctor Hugo Aguilar, Néstor Martinez, Karenia Còrdova, Santiago Ramos
    169-176
    01-05-2011
    https://doi.org/10.4081/gh.2011.168
    2306
    PDF: 875
  • 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
    2067
    PDF: 1230
  • Assessment of primary healthcare accessibility and inequality in north-eastern Kazakhstan

    Askhat Shaltynov, Jorge Rocha , Ulzhan Jamedinova, Ayan Myssayev
    13-05-2022
    https://doi.org/10.4081/gh.2022.1046
    2758
    PDF: 1120
    HTML: 293
  • The epidemiology and small-scale spatial heterogeneity of urinary schistosomiasis in Lusaka province, Zambia

    Christopher Simoonga, Lawrence N. Kazembe, Thomas K. Kristensen, Annette Olsen, Chris C. Appleton, Patricia Mubita, Likezo Mubila
    57-67
    01-11-2008
    https://doi.org/10.4081/gh.2008.232
    2786
    PDF: 1020
  • Towards improved, cost-effective surveillance of Ixodes ricinus ticks and associated pathogens using species distribution modelling

    Manuela Signorini, Anna-Sofie Stensgaard, Michele Drigo, Giulia Simonato, Federica Marcer, Fabrizio Montarsi, Marco Martini, Rudi Cassini
    13-05-2019
    https://doi.org/10.4081/gh.2019.745
    1868
    PDF: 1150
    HTML: 44
  • Planning for Rift Valley fever virus: use of geographical information systems to estimate the human health threat of white-tailed deer (Odocoileus virginianus)-related transmission

    Sravan Kakani, A. Desirée LaBeaud, Charles H. King
    33-43
    01-11-2010
    https://doi.org/10.4081/gh.2010.185
    1358
    PDF: 872
  • 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
    2312
    PDF: 913
    HTML: 54
  • Bayesian risk maps for Schistosoma mansoni and hookworm mono-infections in a setting where both parasites co-exist

    Giovanna Raso, Penelope Vounatsou, Donald P. McManus, Jürg Utzinger
    85-96
    01-11-2007
    https://doi.org/10.4081/gh.2007.257
    2341
    PDF: 809
  • Cystic echinococcosis in slaughtered cattle in Sardinia: a retrospective epidemiological study and spatial analysis

    Diego Brundu, Daniela Aloi, Sandro Rolesu, Toni Piseddu, Giovanna Masala
    285-291
    01-05-2012
    https://doi.org/10.4081/gh.2012.146
    1361
    PDF: 837
  • 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
    5753
    PDF: 2328
    APPENDIX: 271
    HTML: 396
  • Spatial analysis of antimicrobial resistance in the environment. A systematic review

    Patrick Spets, Karin Ebert, Patrik Dinnétz
    25-05-2023
    https://doi.org/10.4081/gh.2023.1168
    2385
    PDF: 800
    Supplementary Materials: 180
    HTML: 58
  • A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal

    Diogo Cardoso, Marco Painho, Rita Roquette
    13-05-2019
    https://doi.org/10.4081/gh.2019.701
    3582
    PDF: 1708
    APPENDIX: 362
    HTML: 221
  • Spatial access disparities to primary health care in rural and remote Australia

    Matthew Richard McGrail, John Stirling Humphreys
    04-11-2015
    https://doi.org/10.4081/gh.2015.358
    21925
    PDF: 9093
    HTML: 2317
  • Can landscape metrics help determine the Culicoides imicola distribution in Italy?

    Carla Ippoliti, Marius Gilbert, Sabine Vanhuysse, Maria Goffredo, Giuseppe Satta, Eléonore Wolff, Annamaria Conte
    267-277
    01-11-2013
    https://doi.org/10.4081/gh.2013.72
    1682
    PDF: 856
  • Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change

    Cristian Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana
    18-05-2022
    https://doi.org/10.4081/gh.2022.1045
    1812
    PDF: 819
    HTML: 48
  • 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
    3148
    PDF: 1595
    HTML: 101
  • Climate and the distribution of vector-borne diseases: what's in store?

    Robert Bergquist
    08-05-2017
    https://doi.org/10.4081/gh.2017.549
    3125
    PDF: 1267
    HTML: 842
  • 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
    1435
    PDF: 828
    HTML: 37
  • Comparison of GPS imputation methods in environmental health research

    Sungsoon Hwang, Kashica Webber-Ritchey, Elizabeth Moxley
    29-08-2022
    https://doi.org/10.4081/gh.2022.1081
    2088
    PDF: 884
    HTML: 31
  • Seasonality and timing of peak abundance of Aedes albopictus in Europe: Implications to public and animal health

    Mina Petrić, Els Ducheyne, Céline M. Gossner, Cedric Marsboom, Gaëlle Nicolas, Roger Venail, Guy Hendrickx, Francis Schaffner
    14-05-2021
    https://doi.org/10.4081/gh.2021.996
    3815
    PDF: 1101
    HTML: 103
  • Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

    Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil
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Geospatial Health
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Geospatial Health

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