APA (7th ed.) Citation

Schlüter, D. K., Ndeffo-Mbah, M. L., Takougang, I., Ukety, T., Wanji, S., Galvani, A. P., & Diggle, P. J. Using Community-Level Prevalence of Loa loa Infection to Predict the Proportion of Highly-Infected Individuals: Statistical Modelling to Support Lymphatic Filariasis and Onchocerciasis Elimination Programs. Public Library of Science (PLoS).

Chicago Style (17th ed.) Citation

Schlüter, Daniela K., Martial L. Ndeffo-Mbah, Innocent Takougang, Tony Ukety, Samuel Wanji, Alison P. Galvani, and Peter J. Diggle. Using Community-Level Prevalence of Loa Loa Infection to Predict the Proportion of Highly-Infected Individuals: Statistical Modelling to Support Lymphatic Filariasis and Onchocerciasis Elimination Programs. Public Library of Science (PLoS).

MLA (9th ed.) Citation

Schlüter, Daniela K., et al. Using Community-Level Prevalence of Loa Loa Infection to Predict the Proportion of Highly-Infected Individuals: Statistical Modelling to Support Lymphatic Filariasis and Onchocerciasis Elimination Programs. Public Library of Science (PLoS).