Hostname: page-component-89b8bd64d-46n74 Total loading time: 0 Render date: 2026-05-06T07:46:36.938Z Has data issue: false hasContentIssue false

Use of whole genome sequencing to complement characterisation of a typhoid fever outbreak among a Marshallese community: Oklahoma, 2015

Published online by Cambridge University Press:  21 September 2018

L. J. Burnsed*
Affiliation:
Oklahoma State Department of Health, Oklahoma City, OK 73117, USA
L. D. Kovar
Affiliation:
Oklahoma State Department of Health, Oklahoma City, OK 73117, USA
K. M. Angelo
Affiliation:
Centers for Disease Control and Prevention, Atlanta, GA, 30329, USA
E. K. Trees
Affiliation:
Centers for Disease Control and Prevention, Atlanta, GA, 30329, USA
J. Concepción-Acevedo
Affiliation:
Centers for Disease Control and Prevention, Atlanta, GA, 30329, USA
M. D. McDermott
Affiliation:
Oklahoma State Department of Health, Oklahoma City, OK 73117, USA
D. Wagner
Affiliation:
Centers for Disease Control and Prevention, Atlanta, GA, 30329, USA IHRC Inc., Atlanta, GA, 30346, USA
K. K. Bradley
Affiliation:
Oklahoma State Department of Health, Oklahoma City, OK 73117, USA
*
Author for correspondence: L. J. Burnsed, E-mail: Laurence@health.ok.gov
Rights & Permissions [Opens in a new window]

Abstract

Typhoid fever is an illness caused by Salmonella enterica serotype Typhi. In developing regions, it affects an estimated 20 million people annually, causing 200 000 deaths. Although uncommon, cases occur in the USA each year, predominantly due to international travel. During February 2015, the Oklahoma State Department of Health (OSDH) detected an outbreak of typhoid fever among residents of northwestern Oklahoma. OSDH conducted case-patient interviews to identify the source and symptomatic contacts. Whole genome sequencing (WGS) was performed to characterise the genetic relatedness of isolates among the four outbreak-associated pulsed-field gel electrophoresis (PFGE) patterns. We identified 38 cases, 25 confirmed and 13 probable, in two states. WGS revealed a 0–10 single-nucleotide polymorphism variation between isolates. Although we were unable to determine the source, almost all case-patients were members of the Marshallese community that attended a common event in Oklahoma, or were contacts to a confirmed case. This is the largest outbreak of typhoid fever in the USA since 1989, and first to apply WGS to complement interpretation of PFGE results during a typhoid fever outbreak investigation. This investigation illustrates the potential risk of outbreaks among communities comprised of international populations from regions where typhoid fever remains endemic.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2018 This is a work of the U.S. Government and is not subject to copyright protection in the United States.
Figure 0

Table 1. Demographic characteristics of case-patients by case status, typhoid fever outbreak investigation, Oklahoma, 2015

Figure 1

Fig. 1. Frequency of symptom onset by case status, typhoid fever outbreak investigation, Oklahoma, 2015.

Figure 2

Table 2. Clinical summary of case-patients by case status, typhoid fever outbreak investigation, Oklahoma, 2015

Figure 3

Fig. 2. PFGE patterns (JPPX01.1200, JPPX01.1201, JPPX01.0255, JPPX01.0523, JPPX01.0524) and phylogenetic tree of Salmonella Typhi outbreak isolates associated with the typhoid fever outbreak investigation, Oklahoma, 2015. (a) Four different XbaI PFGE patterns identified among the 24 clinical isolates associated with the outbreak (green, navy blue, yellow and purple) and two PFGE patterns detected among the six historical Salmonella Typhi isolates with a connection to Marshall Islands (orange and blue). (b) Phylogenetic tree based on the hqSNP analysis for the 24 clinical isolates included in the 2015 outbreak in Oklahoma (black font) and six historical isolates with a connection to Marshall Islands (red font). Reads were trimmed before mapping by SMALT [19]. SNPs were called using Varscan at >20× coverage, >95% read support and <5 bp apart. Draft assembly K3657 (SPAdes-3.6.1) was used as a reference without phage masking. Six different PFGE patterns were detected among the 30 isolates (colour-coded bars).

Figure 4

Table 3. High-risk setting affiliation by case status and completion of stool submission for exclusion requirements, typhoid fever outbreak investigation, Oklahoma, 2015