Scientific Data (Nov 2022)

A global dataset of pandemic- and epidemic-prone disease outbreaks

  • Juan Armando Torres Munguía,
  • Florina Cristina Badarau,
  • Luis Rodrigo Díaz Pavez,
  • Inmaculada Martínez-Zarzoso,
  • Konstantin M. Wacker

DOI
https://doi.org/10.1038/s41597-022-01797-2
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 12

Abstract

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Measurement(s) Pandemic- and epidemic-prone disease outbreaks Technology Type(s) Text mining using R Sample Characteristic - Organism Disease outbreaks Sample Characteristic - Environment spatiotemporal region Sample Characteristic - Location Global