Cite
Inference of the infection status of individuals using longitudinal testing data from cryptic populations: Towards a probabilistic approach to diagnosis.
MLA
Buzdugan, Svetlana N., et al. “Inference of the Infection Status of Individuals Using Longitudinal Testing Data from Cryptic Populations: Towards a Probabilistic Approach to Diagnosis.” Scientific Reports, vol. 7, no. 1, Apr. 2017, p. 1111. EBSCOhost, https://doi.org/10.1038/s41598-017-00806-4.
APA
Buzdugan, S. N., Vergne, T., Grosbois, V., Delahay, R. J., & Drewe, J. A. (2017). Inference of the infection status of individuals using longitudinal testing data from cryptic populations: Towards a probabilistic approach to diagnosis. Scientific Reports, 7(1), 1111. https://doi.org/10.1038/s41598-017-00806-4
Chicago
Buzdugan, Svetlana N, Timothée Vergne, Vladimir Grosbois, Richard J Delahay, and Julian A Drewe. 2017. “Inference of the Infection Status of Individuals Using Longitudinal Testing Data from Cryptic Populations: Towards a Probabilistic Approach to Diagnosis.” Scientific Reports 7 (1): 1111. doi:10.1038/s41598-017-00806-4.