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Volume 26, Number 3—March 2020

Stable and Local Reservoirs of Mycobacterium ulcerans Inferred from the Nonrandom Distribution of Bacterial Genotypes, Benin

Clément Coudereau, Alban Besnard, Marie Robbe-Saule, Céline Bris, Marie Kempf, Roch Christian Johnson, Télésphore Yao Brou, Ronald Gnimavo, Sara Eyangoh, Fida Khater, and Estelle MarionComments to Author 
Author affiliations: Université d’Angers, Angers, France (C. Coudereau, A. Besnard, M. Robbe-Saule, M. Kempf, F. Khater, E. Marion); INSERM, Angers (C. Coudereau, A. Besnard, M. Robbe-Saule, M. Kempf, F. Khater, E. Marion); Centre Hospitalo-Universitaire d’Angers, Angers (C. Bris, M. Kempf); Université d'Abomey Calavi, Abomey Calavi, Benin (R.C. Johnson); Fondation Raoul Follereau, Paris, France (R.C. Johnson); Maison de la Télédétection, Montpellier, France (T.Y. Brou); Centre de Diagnostic et Traitement de la Lèpre et de l’Ulcère de Buruli, Pobè, Bénin (R. Gnimavo); International Pasteur Institute Network, Yaoundé, Cameroon (S. Eyangoh)

Main Article

Table 3

Statistical measurements of the performance of the multinomial models on a real dataset of newly sequenced genomes, Benin and Nigeria*

Locale Accuracy† Matthews correlation coefficient‡
Northern Ouémé 91.44% 0.608*
Southern Ouémé 91.73% 0.637*
Nigeria (Ogun State) 86.25% 0.371**

†Sum of the true positive and true negative divided by the total population.
‡Contingency matrix method of calculating the Pearson product–moment correlation coefficient (27). Its value ranges from −1 to +1 with +1 being a perfect positive prediction model, 0 no better than random prediction, and −1 being a model where predicted class is in total contradiction with observed class. Values indicated the strength of the relationship (*, strong positive relationship; **, moderate positive relationship).

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