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49 results for “Machine learning”

  • 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

    DOI https://doi.org/10.4081/gh.2023.1176

    • 4,003 abstract views
    • 2,032 PDF
    • 249 Supplementary Materials
    • 149 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2025.1386

    • 3,789 abstract views
    • 821 PDF
    • 171 HTML
  • Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

    Caroline Bayr, Heinz Gallaun, Ulrike Kleb, Birgit Kornberger, Martin Steinegger, Martin Winter

    18-04-2016

    DOI https://doi.org/10.4081/gh.2016.310

    • 2,864 abstract views
    • 1,681 PDF
    • 2,032 HTML
  • Nonlinear analysis of factors influencing public health in China based on machine learning

    Dehong Sun, Hui Wang

    16-03-2026

    DOI https://doi.org/10.4081/gh.2026.1450

    • 561 abstract views
    • 400 PDF
    • 21 HTML
  • Nonlinear analysis of factors influencing tuberculosis outpatient visits in China: an explainable machine learning approach

    Hui Wang, Dehong Sun, Shanjie Sui, Yanhong Xu

    08-10-2026

    DOI https://doi.org/10.4081/gh.2026.1535

    • 260 abstract views
    • 121 PDF
    • 5 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2020.919

    • 3,058 abstract views
    • 1,093 PDF
    • 181 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2023.1184

    • 3,865 abstract views
    • 2,036 PDF
    • 237 HTML
  • Reduction of latency in geospatial analysis of air quality: a classical modelling approach inspired by quantum principles

    Hooshang Eivazy

    01-07-2026

    DOI https://doi.org/10.4081/gh.2026.1409

    • 364 abstract views
    • 159 PDF
    • 111 Supplementary Materials
    • 9 HTML
  • Unravelling the dual burden in regional context: how child malnutrition and socioeconomic gradients shape early childhood development

    Muhammad Usman

    05-02-2026

    DOI https://doi.org/10.4081/gh.2026.1455

    • 832 abstract views
    • 615 PDF
    • 23 HTML
  • Geospatial approaches to analysing spatial patterns of stroke incidence and mortality: a systematic review

    Min-Jung Kim

    05-10-2026

    DOI https://doi.org/10.4081/gh.2026.1486

    • 278 abstract views
    • 141 PDF
    • 28 Supplementary materials
    • 4 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2025.1344

    • 1,591 abstract views
    • 755 PDF
    • 259 Supplementary Materials
    • 90 HTML
  • Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

    Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi

    28-05-2024

    DOI https://doi.org/10.4081/gh.2024.1279

    • 3,231 abstract views
    • 1,178 PDF
    • 98 HTML
  • Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

    Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

    06-05-2022

    DOI https://doi.org/10.4081/gh.2022.1033

    • 2,109 abstract views
    • 1,323 PDF
    • 248 Appendix
    • 45 HTML
  • Household-level spatial modelling of child height-for-age in Northern Province, Rwanda: comparison of geographically weighted and neural network weighted regression models

    Clarisse Kagoyire, Gilbert Nduwayezu, Rachid Oucheikh, Jean Pierre Bizimana, Petter Pilesjö, Ali Mansourian

    14-09-2026

    DOI https://doi.org/10.4081/gh.2026.1491

    • 350 abstract views
    • 149 PDF
    • 73 Supplementary Matrials
    • 23 HTML
  • Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

    Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

    26-03-2025

    DOI https://doi.org/10.4081/gh.2025.1319

    • 2,920 abstract views
    • 1,112 PDF
    • 158 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2024.1355

    • 2,261 abstract views
    • 872 PDF
    • 107 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2020.913

    • 4,391 abstract views
    • 1,760 PDF
    • 239 HTML
  • Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications

    Alexander Liss, Magaly Koch, Elena N. Naumova

    01-12-2014 Pages S467-S659

    DOI https://doi.org/10.4081/gh.2014.294

    • 3,506 abstract views
    • 1,618 PDF
  • 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

    DOI https://doi.org/10.4081/gh.2022.1037

    • 6,505 abstract views
    • 2,247 PDF
    • 332 HTML
  • Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations

    Peter M. Macharia, Kerry L.M. Wong, Lenka Beňová, Jia Wang, Prestige Tatenda Makanga, Nicolas Ray, Aduragbemi Banke-Thomas

    27-05-2024

    DOI https://doi.org/10.4081/gh.2024.1266

    • 3,774 abstract views
    • 1,244 PDF
    • 204 Supplementary Materials
    • 262 HTML
  • Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

    Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang

    21-07-2025

    DOI https://doi.org/10.4081/gh.2025.1385

    • 1,282 abstract views
    • 439 PDF
    • 44 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2025.1277

    • 2,974 abstract views
    • 1,107 PDF
    • 264 Supplementary materials
    • 133 HTML
  • Predicting census-tract obesity prevalence using integrated environmental, built-environment, and neighborhood data: a scale-aware geospatial machine-learning proof-of-concept

    Doreen Jehu-Appiah, Emmanuel Obeng-Gyasi

    22-10-2026

    DOI https://doi.org/10.4081/gh.2026.1536

    • 197 abstract views
    • 82 PDF
    • 25 Supplementary Materials
  • Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network

    Mehrdad Ahangarcani, Mahdi Farnaghi, Mohammad Reza Shirzadi, Petter Pilesjö, Ali Mansourian

    14-05-2019

    DOI https://doi.org/10.4081/gh.2019.711

    • 3,300 abstract views
    • 1,538 PDF
    • 442 APPENDIX
    • 246 HTML
  • Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

    Wish Shao, Abolfazl Mollalo, Navid Hashemi Tonekaboni

    23-06-2025

    DOI https://doi.org/10.4081/gh.2025.1363

    • 1,088 abstract views
    • 576 PDF
    • 46 HTML
  • Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

    Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He

    06-05-2022

    DOI https://doi.org/10.4081/gh.2022.1030

    • 1,531 abstract views
    • 872 PDF
    • 334 HTML
  • Spatial Bayesian semi-parametric Cox-Leroux modelling of stroke patient hospitalization: aspects on survival

    Aswi Aswi, Bobby Poerwanto, Nurussyariah Hammado, Nurwan Nurwan, Oktaviana Oktaviana, Siti Djawijah, Susanna Cramb

    21-07-2025

    DOI https://doi.org/10.4081/gh.2025.1380

    • 1,256 abstract views
    • 551 PDF
    • 54 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2023.1247

    • 2,469 abstract views
    • 1,062 PDF
    • 53 HTML
  • Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

    Farah Kristiani, I Gede Nyoman Mindra Jaya, Robyn Irawan, Inanta Maria Priscilia

    02-02-2026

    DOI https://doi.org/10.4081/gh.2026.1461

    • 962 abstract views
    • 613 PDF
    • 111 Supplementary materials
    • 23 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2023.1200

    • 2,097 abstract views
    • 962 PDF
    • 97 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2025.1424

    • 1,077 abstract views
    • 575 PDF
    • 15 HTML
  • Estimating the global abundance of ground level presence of particulate matter (PM2.5)

    David J. Lary, Fazlay S. Faruque, Nabin Malakar, Alex Moore, Bryan Roscoe, Zachary L. Adams, York Eggelston

    01-12-2014 Pages S611-S630

    DOI https://doi.org/10.4081/gh.2014.292

    • 6,759 abstract views
    • 2,766 PDF
  • COVID-19, air quality and space monitoring

    Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak

    06-04-2022

    DOI https://doi.org/10.4081/gh.2022.1052

    • 2,341 abstract views
    • 1,032 PDF
    • 28 HTML
  • Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024

    Tariroyashe Chivanganye, Maphios Siamuchembu, Alice Gumbo, Lenka Beňová, Peter M. Macharia

    11-12-2025

    DOI https://doi.org/10.4081/gh.2025.1434

    • 795 abstract views
    • 672 PDF
    • 61 HTML
  • Spatial analysis and modelling of depression relative to social vulnerability index across the United States

    Kiara M. Rivera, Abolfazl Mollalo

    01-09-2022

    DOI https://doi.org/10.4081/gh.2022.1132

    • 5,914 abstract views
    • 2,662 PDF
    • 641 HTML
  • Assessing spatial inequalities in accessing community pharmacies: a mixed geographically weighted approach

    Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Roberto Gasparini, Donatella Panatto

    16-11-2016

    DOI https://doi.org/10.4081/gh.2016.457

    • 3,774 abstract views
    • 2,035 PDF
    • 1,345 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2026.1497

    • 463 abstract views
    • 344 PDF
    • 18 HTML
  • Comparison of GPS imputation methods in environmental health research

    Sungsoon Hwang, Kashica Webber-Ritchey, Elizabeth Moxley

    29-08-2022

    DOI https://doi.org/10.4081/gh.2022.1081

    • 2,599 abstract views
    • 1,290 PDF
    • 44 HTML
  • Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

    Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato

    25-05-2023

    DOI https://doi.org/10.4081/gh.2023.1203

    • 1,301 abstract views
    • 846 PDF
    • 43 HTML
  • Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

    Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim

    08-06-2022

    DOI https://doi.org/10.4081/gh.2022.1095

    • 1,956 abstract views
    • 1,173 PDF
    • 71 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2022.1072

    • 2,486 abstract views
    • 1,309 PDF
    • 175 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2015.302

    • 4,941 abstract views
    • 1,974 PDF
    • 1,776 HTML
  • Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

    Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang

    03-07-2023

    DOI https://doi.org/10.4081/gh.2023.1151

    • 2,360 abstract views
    • 1,071 PDF
    • 210 Supplementary Materials
    • 80 HTML
  • Dynamic location model for designated COVID-19 hospitals in China

    Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan

    29-10-2024

    DOI https://doi.org/10.4081/gh.2024.1310

    • 1,482 abstract views
    • 537 PDF
    • 321 Supplementary Materials
    • 86 HTML
  • Snakebite epidemiology in the State of Mexico, Mexico 2003-2024

    Aldo Gómez-Benitez, Erika Adriana Reyes-Velázquez, Edgar Oviedo-Hernández, Laura Sonia Arzate-Garay, Justin Lloyd Rheubert, Oswaldo Hernández-Gallegos

    09-04-2026

    DOI https://doi.org/10.4081/gh.2026.1468

    • 1,301 abstract views
    • 525 PDF
    • 258 Supplementary Materials
    • 41 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2022.1114

    • 1,151 abstract views
    • 1,003 PDF
    • 25 HTML
  • Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

    Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

    09-06-2025

    DOI https://doi.org/10.4081/gh.2025.1370

    • 1,799 abstract views
    • 1,106 PDF
    • 177 HTML
  • 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

    DOI https://doi.org/10.4081/gh.2016.453

    • 4,355 abstract views
    • 1,725 PDF
    • 1,155 HTML
  • Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand

    Suparat Tappo, Wongsa Laohasiriwong, Nattapong Puttanapong

    29-11-2022

    DOI https://doi.org/10.4081/gh.2022.1091

    • 2,346 abstract views
    • 1,343 PDF
    • 210 Appendix
    • 248 HTML
1 - 49 of 49 items

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