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  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

  6673

  PDF: 2474

  Appendix: 666

  HTML: 3373

  Appendix: 281
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  Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

  Rutendo Birri Makota, Eustasius Musenge

  27-11-2023

  https://doi.org/10.4081/gh.2023.1207

  1812

  PDF: 910

  HTML: 92
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  CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

  Barbara Więckowska, Justyna Marcinkowska

  06-11-2017

  https://doi.org/10.4081/gh.2017.556

  2510

  PDF: 836

  HTML: 905
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  Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

  Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara

  15-05-2025

  https://doi.org/10.4081/gh.2025.1372

  3420

  PDF: 1459

  HTML: 717
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  Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

  Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen

  31-05-2016

  https://doi.org/10.4081/gh.2016.428

  7610

  PDF: 2640

  APPENDIX: 1218

  HTML: 5553
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  A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

  Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass

  08-11-2017

  https://doi.org/10.4081/gh.2017.588

  3327

  PDF: 1455

  HTML: 1047
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  Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

  Mehdi Raei, Volker Johann Schmid, Behzad Mahaki

  08-05-2018

  https://doi.org/10.4081/gh.2018.645

  2656

  PDF: 1275

  HTML: 149
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  Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

  Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho

  02-09-2025

  https://doi.org/10.4081/gh.2025.1403

  1087

  PDF: 381

  HTML: 73

• Smooth incidence maps give valuable insight into Q fever outbreaks in The Netherlands

  Wim van der Hoek, Jan van de Kassteele, Ben Bom, Arnout de Bruin, Frederika Dijkstra, Barbara Schimmer, Piet Vellema, Ronald ter Schegget, Peter M. Schneeberger

  127-134

  01-11-2012

  https://doi.org/10.4081/gh.2012.111

  2866

  PDF: 1507
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  Investigating local variation in disease rates within high-rate regions identified using smoothing

  Matthew Tuson, Matthew Yap, David Whyatt

  25-05-2023

  https://doi.org/10.4081/gh.2023.1144

  828

  PDF: 530

  Supplementary Materials: 150

  HTML: 43
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  Reducing bias in risk indices for COVID-19

  Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek

  14-01-2022

  https://doi.org/10.4081/gh.2022.1013

  3202

  PDF: 661

  Appendix: 478

  HTML: 42
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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

  2275

  PDF: 978

  HTML: 47
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  Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

  Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco

  26-05-2017

  https://doi.org/10.4081/gh.2017.506

  1962

  PDF: 1068

  HTML: 1070
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  Simulation of the spatial distribution of urban populations based on first-aid call data

  Yinan Zhou, Qin Zhong Zhu, Li Luo

  29-12-2020

  https://doi.org/10.4081/gh.2020.768

  1708

  PDF: 717

  HTML: 43