Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

Serotypes, seasonal trends, and antibiotic resistance of non-typhoidal from human patients in Guangdong Province, China, 2009-2012

BMC Infectious Diseases, Volume 15, No. 1, Article 53, Year 2015

Non-typhoidal is a common cause of infectious diarrhea in humans. Antimicrobial-resistant has become a global concern. Methods: Using laboratory-based surveillance system for from September 2009 to December 2012 in Guangdong Province of China. The clinical information and samples of diarrhea patients were collected, according to the surveillance case definition. The lab tests were followed by standardized protocols, including sample isolation, isolates confirmation, serotyping, and antimicrobial susceptibility testing (AST). Results: A total of 1,826 isolates were identified from40,572 patients in 28 hospitals in11 prefectures. The isolates ratio was highest in autumn (38.8%, 708/1826) and lowest in winter (6.4%, 117/1826). Children aged < 5 years were the group most affected by in Guangdong Province accounting for 73% (1,329/1,826), of whom the infants (< 1 year) were 81.5% (1084/1329) especially. A total of 108 serotypes were identified among the isolates.. Typhimurium represented the most common serotype followed by serotype 4,5,12:i:-. Conclusions: Additional data and more refined methods can improve future surveillance. The invasive Salmonella isolates should also be included to the antibiotic resistance surveillance for clinical care or public health. &Copy; Liang et al.; licensee BioMed Central. 2015This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Statistics
Citations: 88
Authors: 4
Affiliations: 3
Identifiers
Research Areas
Health System And Policy
Infectious Diseases
Maternal And Child Health