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eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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  • 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
    4205
    PDF: 1615
    Appendix: 481
    HTML: 1576
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    Identification and analysis of spatial access disparities related to primary healthcare in Batna City, Algeria

    Ahmed Akakba, Belkacem Lahmar
    14-12-2023
    https://doi.org/10.4081/gh.2023.1238
    1428
    PDF: 419
    HTML: 32
  • Spatial and temporal dynamic analysis of rabies: A review of current methodologies

    Shuaicheng Chen
    30-11-2022
    https://doi.org/10.4081/gh.2022.1139
    2062
    PDF: 1294
    HTML: 233
  • Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

    Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements
    07-05-2018
    https://doi.org/10.4081/gh.2018.644
    1917
    PDF: 758
    HTML: 79
  • Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

    Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein
    26-11-2024
    https://doi.org/10.4081/gh.2024.1265
    597
    PDF: 163
    Supplementary Materials: 74
    HTML: 21
  • To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

    Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor
    31-03-2016
    https://doi.org/10.4081/gh.2016.407
    3809
    PDF: 1088
    Appendix: 453
    HTML: 1210
  • Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

    I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy
    25-05-2023
    https://doi.org/10.4081/gh.2023.1161
    1038
    PDF: 399
    HTML: 10
  • 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
    852
    PDF: 621
    HTML: 60
  • 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
    1967
    PDF: 250
    HTML: 32
  • 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
    3306
    PDF: 1207
    HTML: 995
  • Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

    Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Sheheen A. Abdulkareem, Raul Zurita Milla
    11-02-2025
    https://doi.org/10.4081/gh.2025.1326
    1672
    PDF: 393
    Supplementary Materials: 276
    HTML: 180
  • Heterogeneity in a communal cattle-farming system in a zone endemic for foot and mouth disease in South Africa

    Ockert Louis van Schalkwyk, Eva M. De Clercq, Claudia De Pus, Guy Hendrickx, Peter van den Bossche, Darryn L. Knobel
    31-05-2016
    https://doi.org/10.4081/gh.2016.338
    2376
    PDF: 1127
    HTML: 1429
  • Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

    Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya
    31-03-2016
    https://doi.org/10.4081/gh.2016.379
    5898
    PDF: 2079
    Appendix: 541
    HTML: 3235
    Appendix: 191
  • 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
    2185
    PDF: 1173
    HTML: 135
  • Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

    Prakash Madhav Nimbalkar, Nitin Kumar Tripathi
    21-11-2016
    https://doi.org/10.4081/gh.2016.447
    2106
    PDF: 1127
    HTML: 1119
  • 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
    4010
    PDF: 1600
    HTML: 2541
  • Prehistoric human migrations: a prospective subject for modelling using geographical information systems

    Robert Bergquist
    25-05-2023
    https://doi.org/10.4081/gh.2023.1210
    1165
    PDF: 378
    HTML: 25
  • Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt

    Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K. Hassan, Moussa Soliman, Olubunmi G. Fasanmi, Folorunso O. Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M. Jobre
    28-11-2016
    https://doi.org/10.4081/gh.2016.492
    2562
    PDF: 991
    APPENDIX: 412
    HTML: 1509
  • Estimating population and livestock density of mobile pastoralists and sedentary settlements in the south-eastern Lake Chad area

    Vreni Jean-Richard, Lisa Crump, Abbani Alhadj Abicho, Ali Abba Abakar, Abdraman Mahamat II, Mahamat Bechir, Sandra Eckert, Matthias Engesser, Esther Schelling, Jakob Zinsstag
    18-05-2015
    https://doi.org/10.4081/gh.2015.307
    3881
    PDF: 1447
    HTML: 1453
  • 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
    5098
    PDF: 2268
    HTML: 1978
  • A review of spatial technologies with applications for malaria transmission modelling and control in Africa

    Michael T. Gebreslasie
    26-11-2015
    https://doi.org/10.4081/gh.2015.328
    5855
    PDF: 2312
    HTML: 3064
  • Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

    Guiming Wang
    04-11-2015
    https://doi.org/10.4081/gh.2015.357
    1933
    PDF: 1209
    HTML: 952
  • 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
    3554
    PDF: 1118
    HTML: 19
  • 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
    1625
    PDF: 748
    HTML: 34
  • 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
    2869
    PDF: 765
    HTML: 861
  • 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
    1330
    PDF: 729
    HTML: 27
  • 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
    990
    PDF: 500
    HTML: 49
  • Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES

    David Taylor, Michael Hagenlocher, Anne E. Jones, Stefan Kienberger, Joseph Leedale, Andrew P. Morse
    31-03-2016
    https://doi.org/10.4081/gh.2016.387
    6019
    PDF: 1760
    HTML: 2142
  • 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
    2782
    PDF: 399
    HTML: 112
  • Local landscape effects on population dynamics of Ixodes ricinus

    Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz
    21-11-2016
    https://doi.org/10.4081/gh.2016.487
    3104
    PDF: 1161
    HTML: 832
  • 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
    3638
    PDF: 1620
    HTML: 1268
  • Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

    Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa
    04-11-2015
    https://doi.org/10.4081/gh.2015.326
    4006
    PDF: 2092
    HTML: 2145
  • Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

    Gerardo Núñez Medina
    17-05-2022
    https://doi.org/10.4081/gh.2022.1080
    1008
    PDF: 477
    HTML: 104
  • Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

    Sarsenbay K. Abdrakhmanov, Kanatzhan K. Beisembayev, Fedor I. Кorennoy, Gulzhan N. Yessembekova, Dosym B. Кushubaev, Ablaikhan S. Кadyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.455
    2240
    PDF: 1126
    HTML: 1283
  • Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

    Ruiwen Xiong, Xiaolong Li
    20-07-2023
    https://doi.org/10.4081/gh.2023.1213
    1180
    PDF: 577
    HTML: 24
  • Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

    Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima
    14-01-2022
    https://doi.org/10.4081/gh.2022.1000
    2310
    PDF: 359
    HTML: 43
  • 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
    1423
    PDF: 404
    HTML: 34
  • Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

    Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné
    28-08-2024
    https://doi.org/10.4081/gh.2024.1285
    1078
    PDF: 464
    HTML: 91
  • 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
    905
    PDF: 233
    HTML: 4
  • Global Mpox spread due to increased air travel

    Huijie Qiao, Paanwaris Paansri, Luis E. Escobar
    11-06-2024
    https://doi.org/10.4081/gh.2024.1261
    1901
    PDF: 521
    HTML: 236
  • Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme

    Manuel O. Espinosa, Francisco Polop, Camilo H. Rotela, Marcelo Abril, Carlos M. Scavuzzo
    21-11-2016
    https://doi.org/10.4081/gh.2016.471
    3644
    PDF: 1243
    APPENDIX: 467
    HTML: 1532
  • Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

    Amare Sewnet Minale, Kalkidan Alemu
    07-05-2018
    https://doi.org/10.4081/gh.2018.660
    6663
    PDF: 2152
    HTML: 1135
  • A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

    Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa
    28-03-2024
    https://doi.org/10.4081/gh.2024.1264
    2422
    PDF: 574
    HTML: 62
  • Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

    Géssyca Cavalcante de Melo, Emilia Carolle Azevedo de Oliveira, Iane Brito Leal, Carolina Piedade Morais de Freitas Soares Silva, Roberta Andrade Beltrão, Allan Dantas dos Santos, Renata Karina Reis, Marco Antônio Prado Nunes, Karina Conceição Gomes Machado de Araujo
    26-11-2020
    https://doi.org/10.4081/gh.2020.863
    2778
    PDF: 948
    HTML: 34
  • First year with COVID-19: Assessment and prospects

    Robert Bergquist, Behzad Kiani, Samuel Manda
    26-11-2020
    https://doi.org/10.4081/gh.2020.953
    2676
    PDF: 658
    HTML: 5
  • Diagnostic approaches to malaria in Zambia, 2009-2014

    Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque
    03-06-2015
    https://doi.org/10.4081/gh.2015.330
    3350
    PDF: 1251
    HTML: 1159
  • Spatio-temporal outbreaks of campylobacteriosis and the role of fresh-milk vending machines in the Czech Republic: A methodological study

    Lukáš Marek, Vít Pászto
    08-11-2017
    https://doi.org/10.4081/gh.2017.572
    2507
    PDF: 651
    HTML: 830
  • Spatial association and modelling of under-5 mortality in Thailand, 2020

    Suparerk Suerungruang, Kittipong Sornlorm, Wongsa Laohasiriwong, Roshan Kumar Mahato
    31-08-2023
    https://doi.org/10.4081/gh.2023.1220
    1191
    PDF: 669
    HTML: 35
  • Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

    Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz
    06-10-2023
    https://doi.org/10.4081/gh.2023.1227
    1094
    PDF: 503
    Supplementary Materials: 44
    HTML: 11
  • 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
    2749
    PDF: 1135
    HTML: 185
  • 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
    1440
    PDF: 394
    HTML: 19
  • Spatial association between COVID-19 incidence rate and nighttime light index

    Amornrat Luenam, Nattapong Puttanapong
    18-03-2022
    https://doi.org/10.4081/gh.2022.1066
    1597
    PDF: 464
    HTML: 80
  • Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

    Aline Beatriz dos Santos Silva, Ana Catarina de Melo Araújo, Amanda Priscila de Santana Cabral Silva, Mirella Bezerra Rodrigues Vilela, Cristine Vieira do Bonfim
    17-05-2022
    https://doi.org/10.4081/gh.2022.1051
    926
    PDF: 403
    Appendix: 87
    HTML: 18
  • 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
    2327
    PDF: 439
    HTML: 40
  • Spatial epidemiology of cancer: a review of data sources, methods and risk factors

    Rita Roquette, Marco Painho, Baltazar Nunes
    08-05-2017
    https://doi.org/10.4081/gh.2017.504
    7531
    PDF: 3020
    HTML: 2647
  • Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping

    Bart Roelofs, Gerd Weitkamp
    23-10-2024
    https://doi.org/10.4081/gh.2024.1287
    829
    PDF: 278
    Supplementary Materials: 116
    HTML: 122
  • Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

    I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular
    22-03-2022
    https://doi.org/10.4081/gh.2022.1070
    1206
    PDF: 341
    HTML: 31
  • 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
    2938
    PDF: 1250
    HTML: 1422
  • 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
    3858
    PDF: 1593
    HTML: 1230
  • 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
    711
    PDF: 583
    HTML: 15
  • Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

    Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou
    03-06-2015
    https://doi.org/10.4081/gh.2015.302
    3903
    PDF: 1565
    HTML: 1739
  • 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
    3499
    PDF: 1030
    HTML: 911
  • Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

    Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli
    25-05-2023
    https://doi.org/10.4081/gh.2023.1176
    1657
    PDF: 798
    Supplementary Materials: 99
    HTML: 31
  • 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
    1529
    PDF: 625
    HTML: 45
  • 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
    2949
    PDF: 962
    HTML: 68
  • 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
    3116
    PDF: 1164
    HTML: 850
  • Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

    Zhang Zeng, Huomei Xiong
    09-10-2024
    https://doi.org/10.4081/gh.2024.1294
    680
    PDF: 256
    HTML: 72
  • 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
    752
    PDF: 304
    HTML: 18
  • Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy

    Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Loshini Thiruchelvam, Nur Balqishanis Zainal Abidin, Ani Shabri, Sarah A'fifah Abdullah Sani
    13-11-2023
    https://doi.org/10.4081/gh.2023.1236
    1157
    PDF: 523
    HTML: 23
  • COVID-19: Past, present and future

    Robert Bergquist
    09-09-2022
    https://doi.org/10.4081/gh.2022.1147
    759
    PDF: 375
    HTML: 100
  • Sentiment analysis using a lexicon-based approach in Lisbon, Portugal

    Iuria Betco, Ana Isabel Ribeiro, David S. Vale, Luis Encalada-Abarca, Cláudia M. Viana, Jorge Rocha
    24-04-2025
    https://doi.org/10.4081/gh.2025.1344
    631
    PDF: 150
    Supplementary Materials: 64
    HTML: 39
  • Sandwich mapping of schistosomiasis risk in Anhui Province, China

    Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang
    03-06-2015
    https://doi.org/10.4081/gh.2015.324
    2819
    PDF: 1128
    HTML: 1072
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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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Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention
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Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022
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Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia
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Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
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Keywords

Geospatial Health

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