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Volume 27, Number 1—January 2021
Research

Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti

Karolina GriffithsComments to Author , Kenny Moise, Martine Piarroux, Jean Gaudart, Samuel Beaulieu, Greg Bulit, Jean-Petit Marseille, Paul Menahel Jasmin, Paul Christian Namphy, Jean-Hugues Henrys, Renaud Piarroux, and Stanislas Rebaudet
Author affiliations: Aix Marseille University, Marseille, France (K. Griffiths, J. Gaudart, S. Rebaudet); Université Quisqueya, Port-au-Prince, Haiti (K. Moise, J.-H. Henrys); Centre d’épidémiologie et de santé Publique des armées, Marseille (M. Piarroux); UNICEF, Kinshasa, Democratic Republic of the Congo (S. Beaulieu); UNICEF, New York, New York, USA (G. Built); Direction Nationale de l’Eau Potable et de l’Assainissement, Hinche, Haiti (J.-P. Marseille); Ministère de la Santé Publique et de la Population, Hinche (P.M. Jasmin); Direction Nationale de l’Eau Potable et de l’Assainissement, Petion-Ville, Haiti (P.C. Namphy); Sorbonne Université, Paris, France (R. Piarroux)

Main Article

Figure 4

Classification analysis of localities regarding environmental variables based on hierarchical clustering on principal components of multiple correspondence analysis, Centre Department, Haiti. A) Cluster dendrogram demonstrating the division of localities into 4 classes: green, class 1; blue, class 2; purple, class 3; red, class 4. Height indicates the order at which the clusters were joined. B) Factor map demonstrating the 4 classes on the first 2 dimensions of the multiple correspondence analysis with the following variables: altitude, distance to an unimproved water source, distance to an improved water source, distance to road, distance to a river, presence of market, rural or urban, and cholera vaccination. The x and y axes represent the first 2 dimensions of the multiple correspondence analysis; the percentage of the total dataset inertia is represented by each dimension. Each point is a locality, with the shaded areas representing the 4 classes, as in panel A.

Figure 4. Classification analysis of localities regarding environmental variables based on hierarchical clustering on principal components of multiple correspondence analysis, Centre Department, Haiti. A) Cluster dendrogram demonstrating the division of localities into 4 classes: green, class 1; blue, class 2; purple, class 3; red, class 4. Height indicates the order at which the clusters were joined. B) Factor map demonstrating the 4 classes on the first 2 dimensions of the multiple correspondence analysis with the following variables: altitude, distance to an unimproved water source, distance to an improved water source, distance to road, distance to a river, presence of market, rural or urban, and cholera vaccination. The x and y axes represent the first 2 dimensions of the multiple correspondence analysis; the percentage of the total dataset inertia is represented by each dimension. Each point is a locality, with the shaded areas representing the 4 classes, as in panel A.

Main Article

Page created: November 23, 2020
Page updated: December 21, 2020
Page reviewed: December 21, 2020
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