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• 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

  1716

  PDF: 804

  HTML: 101
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  Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

  Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard

  08-05-2017

  https://doi.org/10.4081/gh.2017.505

  3471

  PDF: 1621

  HTML: 1046
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  The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

  Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

  08-05-2018

  https://doi.org/10.4081/gh.2018.623

  3113

  PDF: 1485

  HTML: 566
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  Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017

  Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian

  07-01-2021

  https://doi.org/10.4081/gh.2020.860

  3653

  PDF: 1191

  HTML: 38
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  Use of geographical information systems for delimiting health service areas in China

  Xuechen Xiong, Li Luo

  11-05-2017

  https://doi.org/10.4081/gh.2017.486

  2395

  PDF: 1177

  HTML: 1031
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  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

  2058

  PDF: 878

  HTML: 35
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  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

  1807

  PDF: 610

  HTML: 45
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  Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

  Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

  18-04-2016

  https://doi.org/10.4081/gh.2016.415

  3692

  PDF: 1896

  HTML: 2254
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  Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

  Manon Pigeolet, Tarinee Kucchal, Matthew T. Hey, Marcia C. Castro, Angela Margaret Evans, Tarsicio Uribe-Leitz, Mohommad Mamun Hossen Chowhury, Sabrina Juran

  25-05-2023

  https://doi.org/10.4081/gh.2023.1174

  1239

  PDF: 646

  HTML: 16
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  Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

  Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina

  12-02-2026

  https://doi.org/10.4081/gh.2026.1316

  771

  PDF: 410

  Supplementary Materials: 99

  HTML: 16