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  Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

  Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil

  06-11-2017

  https://doi.org/10.4081/gh.2017.567

  2654

  PDF: 951

  HTML: 695

• Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

  Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein

  26-11-2024

  https://doi.org/10.4081/gh.2024.1265

  632

  PDF: 191

  Supplementary Materials: 91

  HTML: 22

• Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022

  Tan Luong, Minh Hieu Tran, Ba Uyen Pham, Morgan C. Metrailer, Van Khang Pham, Hoai Linh Nguyen, Thanh Long Pham, Thi Mai Hung Tran, Quang Thai Pham, Thi Thu Ha Hoang, Jason K. Blackburn

  15-04-2024

  https://doi.org/10.4081/gh.2024.1253

  2054

  PDF: 624

  Supplementary Materials: 110

  HTML: 53

• Locating irregularly shaped clusters of infection intensity

  Niko Yiannakoulias, Shona Wilson, H. Curtis Kariuki, Joseph K. Mwatha, John H. Ouma, Eric Muchiri, Gachuhi Kimani, Birgitte J. Vennervald, David W. Dunne

  191-200

  01-05-2010

  https://doi.org/10.4081/gh.2010.200

  1130

  PDF: 723

• Cluster detection of diseases in heterogeneous populations: an alternative to scan methods

  Rebeca Ramis, Diana Gomez-Barroso, Gonzalo Lòpez-Abente

  517-526

  01-05-2014

  https://doi.org/10.4081/gh.2014.41

  1683

  PDF: 994