Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link
Volume 24, Number 5—May 2018
Dispatch

Cholera Epidemic in South Sudan and Uganda and Need for International Collaboration in Cholera Control

Abdinasir Abubakar1, Godfrey Bwire1, Andrew S. Azman, Malika Bouhenia, Lul L. Deng, Joseph F. Wamala, John Rumunu, Atek Kagirita, Jean Rauzier, Lise Grout, Stephen Martin, Christopher Garimoi Orach, Francisco J. Luquero, and Marie-Laure QuiliciComments to Author 
Author affiliations: World Health Organization, Cairo, Egypt (A. Abubakar); Uganda Ministry of Health, Kampala, Uganda (G. Bwire, A. Kagirita); Médecins Sans Frontières, Geneva, Switzerland (A.S. Azman); Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA (A.S. Azman, F.J. Luquero); Epicentre, Paris, France (M. Bouhenia, L. Grout, F.J. Luquero); Republic of South Sudan Ministry of Health, Juba, South Sudan (L.L. Deng, J. Rumunu); World Health Organization, Juba (J.F. Wamala); Institut Pasteur, Paris, France (J. Rauzier, M.-L. Quilici); World Health Organization, Geneva (S. Martin); Makerere University School of Public Health, Kampala (C.G. Orach)

Main Article

Figure 1

Locations and molecular analysis of 2014 epidemic in Uganda and South Sudan. A) Affected areas in both countries. Light brown indicates districts where we did not obtain any isolate for molecular analysis; red, orange, and blue areas represent affected districts with cholera isolates included in the analysis. B) Multilocus variable-number tandem-repeat (MLVA) analysis. Minimum spanning tree using pairwise difference was generated using Bionumerics version 6.6 (Applied Maths, Inc., Austin, TX, US

Figure 1. Locations and molecular analysis of 2014 epidemic in Uganda and South Sudan. A) Affected areas in both countries. Light brown indicates districts where we did not obtain any isolate for molecular analysis; red, orange, and blue areas represent affected districts with cholera isolates included in the analysis. B) Multilocus variable-number tandem-repeat (MLVA) analysis. Minimum spanning tree using pairwise difference was generated using Bionumerics version 6.6 (Applied Maths, Inc., Austin, TX, USA). Circles represent the 8 distinct MLVA profiles we identified, numbered chronologically by the earliest isolate of each profile. The MLVA profiles differ by variations at a single variable-number tandem-repeat locus located in the small chromosome only (VCA 0171, VCA 0283). The size of the circles is proportional to the number of isolates in each profile. Colors represent the location of the isolates and correspond with the colors of the areas in Panel A.

Main Article

1These authors contributed equally to this article.

Page created: April 17, 2018
Page updated: April 17, 2018
Page reviewed: April 17, 2018
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
file_external