Nature Communications (Oct 2018)

Substantiating freedom from parasitic infection by combining transmission model predictions with disease surveys

  • Edwin Michael,
  • Morgan E. Smith,
  • Moses N. Katabarwa,
  • Edson Byamukama,
  • Emily Griswold,
  • Peace Habomugisha,
  • Thomson Lakwo,
  • Edridah Tukahebwa,
  • Emmanuel S. Miri,
  • Abel Eigege,
  • Evelyn Ngige,
  • Thomas R. Unnasch,
  • Frank O. Richards

DOI
https://doi.org/10.1038/s41467-018-06657-5
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 13

Abstract

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The decision when to stop an intervention is a critical component of parasite elimination programmes, but reliance on surveillance data alone can be inaccurate. Here, Michael et al. combine parasite transmission model predictions with disease survey data to more reliably determine when interventions can be stopped.