APA (7th ed.) Citation

Daniela K Schlüter, Martial L Ndeffo-Mbah, Innocent Takougang, Tony Ukety, Samuel Wanji, Alison P Galvani, & Peter J Diggle. (2016). 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

Daniela K Schlüter, 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), 2016.

MLA (9th ed.) Citation

Daniela K Schlüter, 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), 2016.