Journal of Data Mining in Genomics & Proteomics

Department of Public Health, Hawassa College of Health Science, Hawassa, Ethiopia

Publications

• Research Article   
  COVID-19 Space-Time Cluster Detection in Ethiopia Using Retrospective Analysis
  Author(s): Kaleab Tesfaye Tegegne*, Eleni Tesfaye Tegegne, Mekibib Kassa Tessema, Geleta Abera, Berhanu Bifato, Kebebush Gebremichael, Abiyu Ayalew Assefa, Andualem Zenebe, Wosenyeleh Semeon Bagajjo, Musie Rike, Belayneh Feleke Weldeyes, Alelign Tadele Abebe and Argaw Getachew Alemu
  
  Background: As of the 31st of January 2021, there had been 102,399,513 confirmed cases of COVID-19 worldwide, with 2,217,005 deaths reported to WHO. The goal of this study is to uncover the spatiotemporal patterns ofCOVID- 19in Ethiopia, which will aid in the planning and implementation of essential preventative measures. Methods: We obtained data onCOVID-19cases reported in Ethiopia from November 23 to December 29, 2021, from an Ethiopian health data website that is open to the public. Kulldorff’s retrospective space-time scan statistics were utilized to detect the temporal, geographical, and spatiotemporal clusters ofCOVID-19at the county level in Ethiopia, using the discrete Poisson probability model. Results: In Ethiopia, between November 23 and December 29, 2021, a total of 22,199COVID-19cases wer.. View more»
  

  DOI: 10.4172/2153-0602.22.13.250

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