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Volume 23, Number 1—January 2017
Research

Mathematical Modeling of Programmatic Requirements for Yaws Eradication

Michael MarksComments to Author , Oriol Mitjà, Christopher Fitzpatrick, Kingsley Asiedu, Anthony W. Solomon, David C.W. Mabey, and Sebastian Funk
Author affiliations: Hospital for Tropical Diseases, London, UK (M. Marks, A.W. Solomon, D.C.W. Mabey); London School of Hygiene and Tropical Medicine, London (M. Marks, A.W. Solomon, D.C.W. Mabey, S. Funk); ISGlobal, Barcelona, Spain (O. Mitjà); World Health Organization, Geneva, Switzerland (C. Fitzpatrick, K. Asiedu, A.W. Solomon)

Main Article

Figure 2

Predicted probability of achieving yaws eradication given variations in the estimate of R0 (basic reproduction number), total community treatment coverage, number of rounds of total community treatment, total targeted treatment coverage (TTT), and number of rounds of TTT. For this graph, we only show simulations where the coverage of persons with latent cases is the same as the coverage of persons with active cases during TTT. This might overrepresent the actual likelihood of achieving eradicati

Figure 2. Predicted probability of achieving yaws eradication given variations in the estimate of R0 (basic reproduction number), total community treatment coverage, number of rounds of total community treatment, total targeted treatment coverage (TTT), and number of rounds of TTT. For this graph, we only show simulations where the coverage of persons with latent cases is the same as the coverage of persons with active cases during TTT. This might overrepresent the actual likelihood of achieving eradication because the coverage of persons with latent cases is probably lower than the coverage of persons with active cases during TTT. R0, basic reproduction number; TCT, total community treatment; TTT, total targeted treatment.

Main Article

Page created: December 14, 2016
Page updated: December 14, 2016
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