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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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  • Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

    Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi
    08-05-2018
    https://doi.org/10.4081/gh.2018.664
    1633
    PDF: 805
    HTML: 158
  • Monitoring the cluster of high-risk mortality areas in the southwest of Spain

    Maria Buxò-Pujolrás, José Miguel Martínez, Yutaka Yasui, Carme Borrell, Juan Carlos Martín, Montserrat Vergara, Marta Cervantes, Joan Benach
    73-81
    01-11-2012
    https://doi.org/10.4081/gh.2012.106
    1234
    PDF: 736
  • The spatial distribution of injuries in need of surgical intervention in Nepal

    Shailvi Gupta, Thomas A. Groen, Barclay T. Stewart, Sunil Shrestha, David A. Spiegel, Benedict C. Nwomeh, Reinou S. Groen, Adam L. Kushner
    31-05-2016
    https://doi.org/10.4081/gh.2016.359
    3358
    PDF: 1174
    HTML: 1103
  • Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

    Hassan M. Khormi, Lalit Kumar
    405-415
    01-05-2014
    https://doi.org/10.4081/gh.2014.29
    9048
    PDF: 4489
  • Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

    Lavinia Ciucă, Vincenzo Musella, Liviu D. Miron, Maria Paola Maurelli, Giuseppe Cringoli, Antonio Bosco, Laura Rinaldi
    21-11-2016
    https://doi.org/10.4081/gh.2016.499
    4196
    PDF: 1527
    HTML: 2244
  • Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

    Tris Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, Kemal N. Siregar, Muhammad Nur Aidi, Dr. Minarto, Diah Mulyawati Utari, Martya Rahmaniati, Harimat Hendarwan
    17-05-2022
    https://doi.org/10.4081/gh.2022.1055
    3105
    PDF: 1822
    HTML: 92
  • 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
    2349
    PDF: 780
    Supplementary Materials: 175
    HTML: 58
  • Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

    Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse
    31-03-2016
    https://doi.org/10.4081/gh.2016.393
    4074
    PDF: 1634
    HTML: 2547
  • COVID-19 vaccine prioritization based on district classification in Yogyakarta Province, Indonesia

    Syifa Hanifa, Diana Puspitasari, Cahyadi Ramadhan, Karina Oriza Herastuti
    14-01-2022
    https://doi.org/10.4081/gh.2022.1010
    2380
    PDF: 497
    HTML: 41
  • 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
    1488
    PDF: 921
  • A dynamic, climate-driven model of Rift Valley fever

    Joseph Leedale, Anne E. Jones, Cyril Caminade, Andrew P. Morse
    31-03-2016
    https://doi.org/10.4081/gh.2016.394
    4271
    PDF: 1675
    Appendix: 503
    HTML: 1577
  • Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

    Adrian M. Tompkins, Luca Caporaso
    31-03-2016
    https://doi.org/10.4081/gh.2016.380
    3700
    PDF: 1689
    HTML: 1269
  • Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

    Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch
    26-05-2017
    https://doi.org/10.4081/gh.2017.501
    8827
    PDF: 4152
    HTML: 2174
  • Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

    Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements
    27-11-2017
    https://doi.org/10.4081/gh.2017.575
    3390
    PDF: 1149
    APPENDIX: 375
    HTML: 839
  • An operative dengue risk stratification system in Argentina based on geospatial technology

    Ximena Porcasi, Camilo H. Rotela, María V. Introini, Nicolás Frutos, Sofía Lanfri, Gonzalo Peralta, Estefanía A. De Elia, Mario A. Lanfri, Carlos M. Scavuzzo
    S31-S42
    01-09-2012
    https://doi.org/10.4081/gh.2012.120
    2828
    PDF: 1475
  • Monitoring techniques in the capture and adoption of dogs and cats

    Jason Onell Ardila Galvis, Oswaldo Santos Baquero, Ricardo Augusto Dias, Fernando Ferreira, Evelyn Nestori Chiozzotto, José Henrique Hildebrand Grisi-Filho
    04-11-2015
    https://doi.org/10.4081/gh.2015.339
    3924
    PDF: 1649
    HTML: 1465
  • Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

    Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca
    31-05-2016
    https://doi.org/10.4081/gh.2016.421
    2758
    PDF: 1276
    HTML: 1673
  • Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

    Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan
    16-05-2022
    https://doi.org/10.4081/gh.2022.1072
    1714
    PDF: 809
    HTML: 133
  • Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

    Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto
    16-11-2016
    https://doi.org/10.4081/gh.2016.443
    3882
    PDF: 1733
    HTML: 1379
  • Cancer incidence in Priolo, Sicily: a spatial approach for estimation of industrial air pollution impact

    Lucia Fazzo, Mario Carere, Francesco Tisano, Caterina Bruno, Achille Cernigliaro, Maria Rita Cicero, Pietro Comba, Maria Luisa Contrino, Marco De Santis, Fabrizio Falleni, Vincenzo Ingallinella, Anselmo Madeddu, Ida Marcello, Carlo Regalbuto, Giovanna Sciacca, Maria Eleonora Soggiu, Amerigo Zona
    18-04-2016
    https://doi.org/10.4081/gh.2016.320
    4828
    PDF: 1822
    HTML: 1957
  • Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

    Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg
    29-10-2024
    https://doi.org/10.4081/gh.2024.1284
    5902
    PDF: 561
    Supplementary Materials: 172
    HTML: 89
  • Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan

    Sami Ullah, Mushtaq Ahmad Khan Barakzai, Tianfa Xie
    03-09-2024
    https://doi.org/10.4081/gh.2024.1313
    1051
    PDF: 462
    HTML: 96
  • Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

    A.S. Stensgaard, A. Jørgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen
    93-104
    01-11-2006
    https://doi.org/10.4081/gh.2006.284
    2863
    PDF: 1514
  • A geospatial study of the coverage of catheterization laboratory facilities (cath labs) and the travel time required to reach them in East Java, Indonesia

    Andrianto Andrianto, Farizal Rizky Muharram, Chaq El Chaq Zamzam Multazam, Wigaviola Socha, Doni Firman, Ahmad Chusnu Romdhoni, Senitza Anisa Salsabilla
    25-05-2023
    https://doi.org/10.4081/gh.2023.1164
    1180
    PDF: 704
    HTML: 24
  • Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

    Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos
    29-11-2022
    https://doi.org/10.4081/gh.2022.1128
    2116
    PDF: 1352
    HTML: 181
  • Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

    Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet
    29-12-2020
    https://doi.org/10.4081/gh.2020.857
    1473
    PDF: 681
    HTML: 10
  • Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

    Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen
    10-12-2020
    https://doi.org/10.4081/gh.2020.913
    3371
    PDF: 1217
    HTML: 140
  • Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

    Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie
    28-05-2024
    https://doi.org/10.4081/gh.2024.1255
    2285
    PDF: 565
    HTML: 54
  • Spatial scale effects in environmental risk-factor modelling for diseases

    Ram K. Raghavan, Karen M. Brenner, John A. Jr. Harrington, James J. Higgins, Kenneth R. Harkin
    169-182
    01-05-2013
    https://doi.org/10.4081/gh.2013.78
    1861
    PDF: 1110
  • Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

    Beatriz Martínez-Lòpez, Tsviatko Alexandrov, Lina Mur, Fernando Sánchez-Vizcaíno, José M. Sánchez-Vizcaíno
    489-501
    01-05-2014
    https://doi.org/10.4081/gh.2014.38
    2035
    PDF: 1094
  • 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
    1626
    PDF: 1039
  • Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

    Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari
    03-09-2024
    https://doi.org/10.4081/gh.2024.1318
    1242
    PDF: 541
    HTML: 96
  • 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
    3863
    PDF: 1580
    APPENDIX 1: 427
    APPENDIX 2: 419
    HTML: 1639
  • 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
    2565
    PDF: 1351
  • Socio-environmental variables and transmission risk of lymphatic filariasis in central and northern Mozambique

    Isabel Manhenje, M. Teresa Galán-Puchades, Márius V. Fuentes
    391-398
    01-05-2013
    https://doi.org/10.4081/gh.2013.96
    2600
    PDF: 1217
  • Spatial risk profiling of Schistosoma japonicum in Eryuan county, Yunnan province, China

    Peter Steinmann, Xiao-Nong Zhou, Barbara Matthys, Yuan-Lin Li, Hong-Jun Li, Shao-Rong Chen, Zhong Yang, Weng Fan, Tie-Wu Jia, Lan-Hua Li, Penelope Vounatsou, Jürg Utzinger
    59-73
    01-11-2007
    https://doi.org/10.4081/gh.2007.255
    2403
    PDF: 806
  • Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

    Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri
    18-04-2016
    https://doi.org/10.4081/gh.2016.426
    2137
    PDF: 1583
    HTML: 1139
  • 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
    2252
    PDF: 1204
    HTML: 205
  • A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control

    Wang Fei, Lv Jiamin, Wang Chunting, Li Yuling, Xi Yuetuing
    26-09-2024
    https://doi.org/10.4081/gh.2024.1281
    940
    PDF: 334
    HTML: 75
  • Space-time cluster analysis of anemia in pregnant women in the province of Khyber Pakhtunkhwa, Pakistan (2014-2020)

    Sami Ullah, SM Aqil Burney, Tariq Rasheed, Shamaila Burney, Mushtaq Ahmad Khan Barakzia
    05-10-2023
    https://doi.org/10.4081/gh.2023.1192
    1008
    PDF: 595
    HTML: 21
  • Health, environmental change and adaptive capacity; mapping, examining and anticipating future risks of water-related vector-borne diseases in eastern Africa

    David Taylor, Stefan Kienberger, Jack B. Malone, Adrian M. Tompkins
    18-02-2016
    https://doi.org/10.4081/gh.2016.464
    3374
    PDF: 1515
    HTML: 1100
  • Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

    Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin
    30-11-2022
    https://doi.org/10.4081/gh.2022.1118
    1842
    PDF: 854
    HTML: 56
  • 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
    3739
    PDF: 1828
    HTML: 448
  • The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

    Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani
    04-06-2025
    https://doi.org/10.4081/gh.2025.1386
    900
    PDF: 202
    HTML: 0
  • 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
    1966
    PDF: 964
    HTML: 856
  • The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

    Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens
    04-11-2015
    https://doi.org/10.4081/gh.2015.386
    2971
    PDF: 1020
    HTML: 1207
  • 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
    5767
    PDF: 1268
    HTML: 968
  • Multiple testing in disease mapping and descriptive epidemiology

    Dolores Catelan, Annibale Biggeri
    219-229
    01-05-2010
    https://doi.org/10.4081/gh.2010.202
    1420
    PDF: 883
  • 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
    1428
    PDF: 661
    HTML: 22
  • 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
    2310
    PDF: 1001
  • Mapping brucellosis risk in communities in the Republic of Armenia

    Thibaud Porphyre, Ronald Jackson, Carola Sauter-Louis, David Ward, Grigor Baghyan, Edik Stepanyan
    103-118
    01-11-2010
    https://doi.org/10.4081/gh.2010.191
    1781
    PDF: 1003
  • Identifying areas of Australia at risk for H5N1 avian influenza infection from exposure to nomadic waterfowl moving throughout the Australo-Papuan region

    Iain J. East, Samuel A. Hamilton, Louise A. Sharp, Michael G. Garner
    17-27
    01-11-2008
    https://doi.org/10.4081/gh.2008.228
    1469
    PDF: 1517
  • Identifying areas of Australia at risk of H5N1 avian influenza infection from exposure to migratory birds: a spatial analysis

    Iain J. East, Samuel Hamilton, Graeme Garner
    203-213
    01-05-2008
    https://doi.org/10.4081/gh.2008.244
    1717
    PDF: 1065
  • 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
    1469
    PDF: 839
  • 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
    3472
    PDF: 1186
  • Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

    Ronaldo G. C. Scholte, Nadine Schur, Maria E. Bavia, Edgar M. Carvalho, Frédérique Chammartin, Jürg Utzinger, Penelope Vounatsou
    97-110
    01-11-2013
    https://doi.org/10.4081/gh.2013.58
    3531
    PDF: 1878
  • Influence of landscape factors and management decisions on spatial and temporal patterns of the transmission of chronic wasting disease in white-tailed deer

    Marilyn O'Hara Ruiz, Amy C. Kelly, William M. Brown, Jan E. Novakofski, Nohra E. Mateus-Pinilla
    215-227
    01-11-2013
    https://doi.org/10.4081/gh.2013.68
    2511
    PDF: 1110
  • Rapid GIS-based profiling of West Nile virus transmission: defining environmental factors associated with an urbansuburban outbreak in Northeast Ohio, USA

    A. Desiree LaBeaud, Ann-Marie Gorman, Joe Koonce, Christopher Kippes, John McLeod, Joe Lynch, Timothy Gallagher, Charles H. King, Anna M. Mandalakas
    215-225
    01-05-2008
    https://doi.org/10.4081/gh.2008.245
    2102
    PDF: 806
  • 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
    5421
    PDF: 2484
  • Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach

    Teshome Tsegaw, Endalamaw Gadisa, Ahmed Seid, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Abraham Aseffa
    299-308
    01-05-2013
    https://doi.org/10.4081/gh.2013.88
    3544
    PDF: 1526
  • 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
    1981
    PDF: 969
  • Environmental inducers of schistosomiasis mansoni in Campinas, Brazil

    Francisco Anaruma Filho, João Moreno Sant'Ana, Rozely Ferreira dos Santos, Cláudio Luiz Castagna
    79-91
    01-11-2010
    https://doi.org/10.4081/gh.2010.189
    1191
    PDF: 821
  • 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
    1705
    PDF: 841
    HTML: 291
  • 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
    1474
    PDF: 436
    HTML: 20
  • The impact of geographic mobility on the spread of COVID-19 in Hong Kong

    Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai
    14-02-2022
    https://doi.org/10.4081/gh.2022.1022
    2831
    PDF: 438
    HTML: 115
  • 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
    2734
    PDF: 1151
    HTML: 883
  • Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

    Sarsenbay K. Abdrakhmanov, Yersyn Y. Mukhanbetkaliyev, Fedor I. Korennoy, Bolat Sh. Karatayev, Aizada A. Mukhanbetkaliyeva, Aruzhan S. Abdrakhmanova
    13-11-2017
    https://doi.org/10.4081/gh.2017.589
    3535
    PDF: 1103
    HTML: 913
  • Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

    Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang
    29-12-2020
    https://doi.org/10.4081/gh.2020.849
    1702
    PDF: 771
    HTML: 25
  • Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

    Jihoon Jung, Yoonjung Ahn, Joseph Bommarito
    18-03-2022
    https://doi.org/10.4081/gh.2022.1064
    1348
    PDF: 315
    Appendix: 250
    HTML: 8
  • Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

    Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett
    10-12-2020
    https://doi.org/10.4081/gh.2020.919
    2358
    PDF: 779
    HTML: 103
  • Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania

    Stefan Dongus, Dickson Nyika, Khadija Kannady, Deo Mtasiwa, Hassan Mshinda, Laura Gosoniu, Axel W. Drescher, Ulrike Fillinger, Marcel Tanner, Gerry F. Killeen, Marcia C. Castro
    189-210
    01-05-2009
    https://doi.org/10.4081/gh.2009.220
    4007
    PDF: 1318
  • Simulation of the spatial distribution of urban populations based on first-aid call data

    Yinan Zhou, Qin Zhong Zhu, Li Luo
    29-12-2020
    https://doi.org/10.4081/gh.2020.768
    1378
    PDF: 531
    HTML: 14
  • 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
    1380
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  • Diluting the dilution effect: a spatial Lyme model provides evidence for the importance of habitat fragmentation with regard to the risk of infection

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    143-155
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    1791
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  • Application of spatio-temporal scan statistics for the detection of areas with increased risk for American visceral leishmaniasis in the state of Bahia, Brazil

    Deborah D.M.T. Carneiro, Maria E. Bavia, Washington J.S.F. Rocha, Antônio C.Q. Tavares, Luciana L. Cardim, Biruk Alemayehu
    113-126
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    1384
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    Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz
    21-11-2016
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    3150
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  • Application of a geographical information system approach for risk analysis of fascioliasis in southern Espírito Santo state, Brazil

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    1849
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    1619
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    https://doi.org/10.4081/gh.2025.1340
    845
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    HTML: 47
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    Benyamin Hoseini, Nasser Bagheri, Behzad Kiani, Amirabbas Azizi, Hamed Tabesh, Mahmood Tara
    07-05-2018
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    3567
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    Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He
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    1028
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    HTML: 223
  • Spatial correlates of COVID-19 first wave across continental Portugal

    Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha
    23-06-2022
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    1241
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    2720
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    2616
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    APPENDIX: 439
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    3821
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    59-69
    01-11-2010
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    2380
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Geospatial Health
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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
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Vol. 20 No. 1 (2025)
Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention
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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

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Geospatial Health

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