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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

Table 1

Summary descriptive statistics for each locality and variables used for classification analysis used in delineating and analyzing locality-level determinants of cholera, Haiti

Locality information All localities, n = 1,730 Association with incidence, p value
Median no. suspected cholera cases (IQR) 0 (0–2) –
Median no. houses (IQR) 65 (33–115) –
Median estimated population (IQR) 300 (152–530) –
Median estimated incidence/10,000 (IQR) 0 (0–61.85) –
Median altitude, m (IQR)*† 360 (264–620) <0.0001
Median distance to nearest improved water source, m (IQR)*† 842 (464–1,476) <0.0001
Median distance to nearest unimproved water source, m (IQR) *† 451 (307–702) <0.0001
Median distance to nearest river, m (IQR)*† 1,263 (554–2,706) <0.0001
Median distance to nearest road, m (IQR) 638 (185–1,493) <0.0001
No. markets (%)* 50 (2.9) <0.0001
No. rural locations (%)* 1,686 (97.5) <0.0001
No. cholera vaccinations administered (%)* 556 (32.1) <0.0001

*Active variables used in classification analysis, statistically significant in nonparametric univariate analysis (p<0.05).
†Values transformed to categorical variables by using quartiles to form 4 classifications for analysis.

Main Article

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