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  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

  1749

  PDF: 752

  HTML: 75
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  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

  1352

  PDF: 553

  Supplementary Materials: 207

  HTML: 82
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  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

  1264

  PDF: 661

  HTML: 150
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  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

  2751

  PDF: 588

  HTML: 59
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  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

  2778

  PDF: 936

  HTML: 153

• 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

  1190

  PDF: 476

  Supplementary Materials: 193

  HTML: 403