Search

Search Results

• 

  Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

  Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

  01-12-2022

  1231

  PDF: 730

  Appendix: 73

  HTML: 65
• 

  Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

  Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang

  29-12-2020

  1522

  PDF: 664

  HTML: 23
• 

  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

  1575

  PDF: 967

  HTML: 101
• 

  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

  890

  PDF: 337

  HTML: 9
• 

  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

  947

  PDF: 402

  HTML: 15
• 

  Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

  Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf

  11-05-2017

  3148

  PDF: 1014

  HTML: 813
• 

  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

  752

  PDF: 410

  HTML: 18
• 

  Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

  André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral

  04-11-2015

  2908

  PDF: 1225

  HTML: 1215

• When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilisation

  Carla Shoff, Vivian Yi-Ju Chen, Tse-Chuan Yang

  557-568

  01-05-2014

  1823

  PDF: 945

• Mastering geographically weighted regression: key considerations for building a robust model

  Behzad Kiani, Benn Sartorius, Colleen L. Lau, Robert Bergquist

  29-02-2024

  7279

  PDF: 1110

  HTML: 692
• 

  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

  1271

  PDF: 339

  HTML: 33
• 

  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

  925

  PDF: 423

  Supplementary Materials: 39

  HTML: 9
• 

  Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

  Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee

  31-05-2016

  2667

  PDF: 1475

  HTML: 1360

• Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

  Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie

  28-05-2024

  1809

  PDF: 328

  HTML: 49