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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Behzad Kiani

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  • The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

    Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang
    29-11-2016
    https://doi.org/10.4081/gh.2016.480
    3512
    Downloads: 1131
    HTML: 943
  • Mosquito habitat and dengue risk potential in Kenya: alternative methods to traditional risk mapping techniques

    David F. Attaway, Kathryn H. Jacobsen, Allan Falconer, Germana Manca, Lauren Rosenshein Bennett, Nigel M. Waters
    119-130
    01-11-2014
    https://doi.org/10.4081/gh.2014.10
    3716
    Downloads: 1840
  • 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
    3126
    Downloads: 1515
    HTML: 897
  • Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

    Nicola A. Wardrop, Matthew Geary, Patrick E. Osborne, Peter M. Atkinson
    237-246
    01-11-2014
    https://doi.org/10.4081/gh.2014.397
    2820
    Downloads: 1245
  • 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
    3358
    Downloads: 1111
    HTML: 899
  • Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

    Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer
    227-237
    01-05-2011
    https://doi.org/10.4081/gh.2011.175
    1617
    Downloads: 1143
  • 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
    3061
    Downloads: 917
    HTML: 59
  • Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

    Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu
    25-05-2023
    https://doi.org/10.4081/gh.2023.1200
    2074
    Downloads: 953
    HTML: 96
  • Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

    Xiaodi Su, Chunxia Qiu, Chunhui Liu
    03-12-2024
    https://doi.org/10.4081/gh.2024.1323
    1589
    Downloads: 629
    HTML: 70
  • The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

    Rufin K. Assaré, Ying-Si Lai, Ahoua Yapi, Yves-Nathan T. Tian-Bi, Mamadou Ouattara, Patrick K. Yao, Stefanie Knopp, Penelope Vounatsou, Jürg Utzinger, Eliézer K. N'Goran
    03-06-2015
    https://doi.org/10.4081/gh.2015.345
    4789
    Downloads: 2051
    HTML: 1251
  • 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
    3825
    Downloads: 2005
    HTML: 233
  • Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

    Yaqi Wang, Zhiwei Wan
    17-05-2022
    https://doi.org/10.4081/gh.2022.1078
    2236
    Downloads: 1200
    HTML: 235
  • Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

    Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang
    07-05-2018
    https://doi.org/10.4081/gh.2018.608
    4751
    Downloads: 2182
    HTML: 591
  • 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
    3029
    Downloads: 1078
    HTML: 180
  • The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

    Vicente Y. Belizario, John Paul Caesar R. delos Trinos, Berne Silawan, Chiqui M. De Veyra, Agapito Hornido, Hansel Amoguis, Dominic Basalo, Cherry Dema-ala, Irenn Mantilla, Rosele Layan
    06-11-2017
    https://doi.org/10.4081/gh.2017.540
    7760
    Downloads: 2237
    HTML: 3471
  • A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

    Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó
    23-10-2023
    https://doi.org/10.4081/gh.2023.1212
    2359
    Downloads: 1099
    HTML: 35
  • Prioritizing the tuberculosis burden by the analytic hierarchy process for effective targeted intervention

    Madhu Basavegowda, Manjunatha M. Chikkapapanna, Sahana K. Suresh, Bhuvanesh Giriya
    15-06-2026
    https://doi.org/10.4081/gh.2026.1454
    397
    Downloads: 231
    HTML: 21
  • Risk areas for hepatitis A, B and C in the municipality of Maringá, Paraná State, Brazil 2007-2010

    Valéria Miranda Avanzi, Udelysses Janete Veltrini Fonzar, Eraldo Schunk Silva, Jorge Juarez Vieira Teixeira, Dennis Armando Bertolini
    08-05-2018
    https://doi.org/10.4081/gh.2018.607
    2197
    Downloads: 927
    HTML: 156
  • Diabetes prevalence in the state of Alabama: identifying the risk factors

    Kwaku Karikari Manu, Seth Appiah-Opoku
    31-03-2026
    https://doi.org/10.4081/gh.2026.1465
    910
    Downloads: 388
    HTML: 20
  • Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

    Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero
    31-05-2016
    https://doi.org/10.4081/gh.2016.410
    2576
    Downloads: 1289
    HTML: 919
  • Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

    Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman
    11-05-2022
    https://doi.org/10.4081/gh.2022.1025
    2354
    Downloads: 1419
    HTML: 86
  • 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
    3425
    Downloads: 1658
    HTML: 210
  • Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

    Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.429
    3068
    Downloads: 2368
    HTML: 1521
  • 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
    2035
    Downloads: 955
    HTML: 29
  • Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

    Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou
    29-11-2016
    https://doi.org/10.4081/gh.2016.453
    4328
    Downloads: 1699
    HTML: 1155
  • Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

    Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh
    31-03-2016
    https://doi.org/10.4081/gh.2016.406
    4595
    Downloads: 1787
    HTML: 1076
  • Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy

    Dimitrios Ntokos
    14-04-2026
    https://doi.org/10.4081/gh.2026.1453
    994
    Downloads: 652
    HTML: 23
  • 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
    2144
    Downloads: 1047
    HTML: 73
  • Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

    David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett
    31-05-2016
    https://doi.org/10.4081/gh.2016.377
    3547
    Downloads: 1625
    HTML: 1498
  • Geospatial assessment of dengue fever risk and spatial patterns in Phayao Province, Thailand

    Phaisarn Jeefoo, Watcharaporn Preedapirom Jeefoo, Sakorn Mekruksavanich, Kanchana Nakhapakorn
    23-07-2026
    https://doi.org/10.4081/gh.2026.1497
    426
    Downloads: 315
    HTML: 16
  • 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
    2296
    Downloads: 1009
    HTML: 28
  • Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti

    Osman Abdillahi Guedi, Yao Télesphore Brou, Eric Delmelle, Sébastien Briolant
    16-06-2026
    https://doi.org/10.4081/gh.2026.1451
    800
    Downloads: 396
    HTML: 7
  • Mapping displaced populations with reference to social vulnerabilities for post-disaster public health management

    Junaid Ahmad, Anees Ahmad, Mokbul Morshed Ahmad, Nafees Ahmad
    27-11-2017
    https://doi.org/10.4081/gh.2017.576
    3929
    Downloads: 1506
    HTML: 1436
  • New insights into the application of geographical information systems and remote sensing in veterinary parasitology

    Laura Rinaldi, Vincenzo Musella, Annibale Biggeri, Giuseppe Cringoli
    33-47
    01-11-2006
    https://doi.org/10.4081/gh.2006.279
    4258
    Downloads: 1868
  • Common errors in disease mapping

    Ricardo Ocaña-Riola
    139-154
    01-05-2010
    https://doi.org/10.4081/gh.2010.196
    3782
    Downloads: 1304
  • Access to the COVID-19 services during the pandemic - a scoping review

    Ahmad Raeesi, Behzad Kiani, Azam Hesami, Ladan Goshayeshi, Neda Firouraghi, Shahab MohammadEbrahimi, Soheil Hashtarkhani
    28-03-2022
    https://doi.org/10.4081/gh.2022.1079
    2834
    Downloads: 1719
    HTML: 135
  • Role of malnutrition and parasite infections in the spatial variation in children's anaemia risk in northern Angola

    Ricardo J. Soares Magalhães, Antonio Langa, João Mário Pedro, José Carlos Sousa-Figueiredo, Archie C.A. Clements, Susana Vaz Nery
    341-354
    01-05-2013
    https://doi.org/10.4081/gh.2013.91
    4497
    Downloads: 2151
  • Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

    Hassan M. Khormi, Lalit Kumar
    21-11-2016
    https://doi.org/10.4081/gh.2016.416
    5758
    Downloads: 2845
    HTML: 2003
  • Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization

    Samuel F. Atkinson, Abhishek K. Kala, Chetan Tiwari
    17-02-2022
    https://doi.org/10.4081/gh.2022.1056
    2688
    Downloads: 504
    HTML: 68
  • 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
    4692
    Downloads: 3141
    HTML: 1658
  • 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
    08-11-2024
    https://doi.org/10.4081/gh.2024.1335
    2005
    Downloads: 659
    HTML: 83
  • 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
    6812
    Downloads: 1362
    HTML: 136
  • Ten common pitfalls in spatial epidemiology and how to avoid them

    Behzad Kiani, Nima Kianfar, Munazza Fatima, Robert Bergquist
    01-09-2026
    https://doi.org/10.4081/gh.2026.1544
    461
    Downloads: 232
    HTML: 25
  • A spatial decision support system for guiding focal indoor residual spraying interventions in a malaria elimination zone

    Gerard C. Kelly, Chang Moh Seng, Wesley Donald, George Taleo, Johnny Nausien, Willie Batarii, Harry Iata, Marcel Tanner, Lasse S. Vestergaard, Archie C. A. Clements
    21-31
    01-11-2011
    https://doi.org/10.4081/gh.2011.154
    3449
    Downloads: 1302
  • Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

    Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes
    27-10-2025
    https://doi.org/10.4081/gh.2025.1393
    823
    Downloads: 529
    HTML: 48
  • A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

    Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia
    18-07-2025
    https://doi.org/10.4081/gh.2025.1379
    1572
    Downloads: 781
    HTML: 70
  • 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
    5298
    Downloads: 1964
    HTML: 2297
  • Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

    Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran
    26-11-2015
    https://doi.org/10.4081/gh.2015.376
    4138
    Downloads: 2362
    HTML: 1274
  • 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
    5174
    Downloads: 2153
    HTML: 1105
  • A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

    Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto
    18-03-2022
    https://doi.org/10.4081/gh.2022.1067
    2126
    Downloads: 1025
    HTML: 54
  • Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina

    Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla
    06-11-2017
    https://doi.org/10.4081/gh.2017.564
    3778
    Downloads: 1514
    HTML: 874
  • Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

    Amornrat Luenam, Nattapong Puttanapong
    26-11-2020
    https://doi.org/10.4081/gh.2020.856
    3906
    Downloads: 1390
    HTML: 78
  • Spatial heterogeneity of quality, use and spending on medicare for the elderly

    Felipa de Mello-Sampayo
    07-05-2018
    https://doi.org/10.4081/gh.2018.655
    2313
    Downloads: 1013
    HTML: 121
  • Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France

    Laurent Bailly, Rania Belgaied, Thomas Jobert, Benjamin Montmartin
    15-09-2025
    https://doi.org/10.4081/gh.2025.1383
    1065
    Downloads: 615
    HTML: 32
  • Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors

    Jie Wang, Enwei Zhang, Kun Yang
    23-07-2026
    https://doi.org/10.4081/gh.2026.1498
    506
    Downloads: 253
    HTML: 9
  • The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

    Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui
    31-05-2016
    https://doi.org/10.4081/gh.2016.414
    4595
    Downloads: 1992
    HTML: 2283
  • Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

    Dustin T. Duncan, Ryan R. Ruff, Basile Chaix, Seann D. Regan, James H. Williams, Joseph Ravenell, Marie A. Bragg, Gbenga Ogedegbe, Brian Elbel
    31-05-2016
    https://doi.org/10.4081/gh.2016.399
    4478
    Downloads: 2111
    HTML: 1522
  • 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
    2607
    Downloads: 1099
    HTML: 135
  • The effects of the Health Insurance Portability and Accountability Act privacy rule on influenza research using geographical information systems

    Norisse Tellman, Eric R. Litt, Caprice Knapp, Aaron Eagan, Jing Cheng, Lewis J. Jr Radonovich
    3-9
    01-11-2010
    https://doi.org/10.4081/gh.2010.182
    2590
    Downloads: 1094
  • The use of remotely sensed environmental data in the study of malaria

    Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier
    151-168
    01-05-2011
    https://doi.org/10.4081/gh.2011.167
    6245
    Downloads: 2487
  • Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models

    Guo-Jing Yang, Qi Gao, Shui-Sen Zhou, John B. Malone, Jennifer C. McCarroll, Marcel Tanner, Penelope Vounatsou, Robert Bergquist, Jürg Utzinger, Xiao-Nong Zhou
    11-22
    01-11-2010
    https://doi.org/10.4081/gh.2010.183
    3646
    Downloads: 1912
  • Validation of a spatial liver fluke model under field conditions in Ireland

    Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl
    07-05-2018
    https://doi.org/10.4081/gh.2018.641
    2659
    Downloads: 1180
    HTML: 199
  • Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis

    Jiaqi Huang, Yichen Chen, Gu Liu, Wei Tu, Robert Bergquist, Michael P. Ward, Jun Zhang, Shuang Xiao, Jie Hong, Zheng Zhao, Xiaopan Li, Zhijie Zhang
    03-07-2023
    https://doi.org/10.4081/gh.2023.1152
    2710
    Downloads: 1597
    HTML: 32
  • The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

    Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang
    13-09-2023
    https://doi.org/10.4081/gh.2023.1197
    1562
    Downloads: 715
    HTML: 30
  • Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

    Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab
    09-06-2025
    https://doi.org/10.4081/gh.2025.1370
    1766
    Downloads: 1092
    HTML: 174
  • 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
    2217
    Downloads: 1086
    HTML: 383
  • A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

    Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh
    29-11-2022
    https://doi.org/10.4081/gh.2022.1114
    1133
    Downloads: 985
    HTML: 25
  • Modelling spatial concordance between Rocky Mountain spotted fever disease incidence and habitat probability of its vector Dermacentor variabilis (American dog tick)

    Samuel F. Atkinson, Sahotra Sarkar, Aldo Aviña, Jim A. Schuermann, Phillip Williamson
    91-100
    01-11-2012
    https://doi.org/10.4081/gh.2012.108
    2323
    Downloads: 1487
  • Visualization of schistosomiasis snail habitats using light unmanned aerial vehicles

    Andrew J. Chamberlin, Isabel J. Jones, Andrea J. Lund, Nicolas Jouanard, Gilles Riveau, Raphaël Ndione, Susanne H. Sokolow, Chelsea L. Wood, Kevin D. Lafferty, Giulio A. De Leo
    08-01-2021
    https://doi.org/10.4081/gh.2020.818
    1992
    Downloads: 1054
    HTML: 128
  • 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
    3297
    Downloads: 1978
    HTML: 236
  • 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
    7871
    Downloads: 3060
  • 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
    4429
    Downloads: 2330
  • Impact of climate change on dengue fever: a bibliometric analysis

    Mai Liu, Yin Zhang
    19-02-2025
    https://doi.org/10.4081/gh.2025.1301
    3078
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    HTML: 151
  • Balancing geo-privacy and spatial patterns in epidemiological studies

    Chien-Chou Chen, Jen-Hsiang Chuang, Da-Wei Wang, Chien-Min Wang, Bo-Cheng Lin, Ta-Chien Chan
    08-11-2017
    https://doi.org/10.4081/gh.2017.573
    4344
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    HTML: 968
  • 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
    1360
    Downloads: 910
    HTML: 61
  • Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil

    Luciana Casartelli-Alves, Maria Regina Reis Amendoeira, Viviane Cardoso Boechat, Luiz Cláudio Ferreira, João Carlos Araujo Carreira, José Leonardo Nicolau, Eloiza Paula de Freitas Trindade, Julia Novaes de Barros Peixoto, Mônica de Avelar Figueiredo Mafra Magalhães, Raquel de Vasconcellos Carvalhaes de Oliveira, Tânia Maria Pacheco Schubach, Rodrigo Caldas Menezes
    18-05-2015
    https://doi.org/10.4081/gh.2015.311
    3652
    Downloads: 1628
    HTML: 1523
  • Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

    Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov
    31-07-2024
    https://doi.org/10.4081/gh.2024.1290
    2089
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    HTML: 121
  • Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

    Sade Kılıç Yıldırım, Celal Reha Alpar
    14-11-2025
    https://doi.org/10.4081/gh.2025.1396
    748
    Downloads: 344
    HTML: 9
  • 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
    2936
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    HTML: 132
  • 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
    27-01-2025
    https://doi.org/10.4081/gh.2025.1348
    4908
    Downloads: 1763
    HTML: 308
  • A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

    Wasana Silangam, Amornrat Luenam
    14-11-2025
    https://doi.org/10.4081/gh.2025.1424
    1050
    Downloads: 555
    HTML: 15
  • 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
    3800
    Downloads: 1440
    HTML: 1119
  • Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

    Emily Phaboutdy, Michael Ward
    04-07-2024
    https://doi.org/10.4081/gh.2024.1282
    2782
    Downloads: 919
    HTML: 49
  • Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania

    Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima
    18-05-2015
    https://doi.org/10.4081/gh.2015.322
    3434
    Downloads: 1625
    HTML: 1428
  • Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

    Jishuo Zhang, Meifang Li
    29-11-2022
    https://doi.org/10.4081/gh.2022.1123
    1435
    Downloads: 1146
    HTML: 103
  • 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
    2483
    Downloads: 1280
    HTML: 94
  • Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

    Adrian M. Tompkins, Nicky McCreesh
    31-03-2016
    https://doi.org/10.4081/gh.2016.408
    3895
    Downloads: 1678
    HTML: 1013
  • Facilitating participatory multilevel decision-making by using interactive mental maps

    Constanze Pfeiffer, Stephanie Glaser, Jayshree Vencatesan, Elke Schliermann-Kraus, Axel Drescher, Rüdiger Glaser
    103-112
    01-11-2008
    https://doi.org/10.4081/gh.2008.236
    4977
    Downloads: 1725
  • Mapping and modelling neglected tropical diseases and poverty in Latin America and the Caribbean

    John B. Malone, N. Robert Bergquist
    S1-S5
    01-09-2012
    https://doi.org/10.4081/gh.2012.115
    2104
    Downloads: 1340
  • 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
    2283
    Downloads: 1243
  • Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

    Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak
    201-217
    01-05-2010
    https://doi.org/10.4081/gh.2010.201
    1928
    Downloads: 1171
  • 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
    6955
    Downloads: 2358
  • 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
    3953
    Downloads: 1089
    HTML: 736
  • Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

    Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Ahad Bazmani
    179-191
    01-11-2014
    https://doi.org/10.4081/gh.2014.15
    7722
    Downloads: 1803
  • Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

    Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho
    26-11-2020
    https://doi.org/10.4081/gh.2020.925
    4274
    Downloads: 1482
    HTML: 38
  • 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
    2151
    Downloads: 1529
    HTML: 154
  • Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

    Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati
    27-11-2015
    https://doi.org/10.4081/gh.2015.373
    5619
    Downloads: 2145
    HTML: 1046
  • The acquired immunodeficiency syndrome in the State of Rio de Janeiro, Brazil: a spatio-temporal analysis of cases reported in the period 2001-2010

    André T. J. Alves, Flávio F. Nobre
    437-443
    01-05-2014
    https://doi.org/10.4081/gh.2014.32
    2028
    Downloads: 1102
  • Spatial patterns and eco-epidemiological systems - part I: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors

    Emmanuel Roux, Annamaria de Fátima Venâncio, Jean-François Girres, Christine A. Romaña
    41-51
    01-11-2011
    https://doi.org/10.4081/gh.2011.156
    1761
    Downloads: 1078
  • Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

    Mohamadreza Rajabi, Ali Mansourian, Ahad Bazmani
    37-50
    01-11-2012
    https://doi.org/10.4081/gh.2012.103
    1959
    Downloads: 1157
101 - 200 of 270 items << < 1 2 3 > >> 

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