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

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

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...

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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Science
Q
Acceso en línea:https://doaj.org/article/a91fddbacb9e4eaeaabd79e3dbbc8e08
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