Ying Li, Shuang Zhang, Yanbo Wang, Yanchun Zhang, He Zhang, Hongmei Ma. Epidemiological and molecular characteristics of Salmonella in patients with diarrhea in Shunyi district of Beijing, 2014−2017[J]. Disease Surveillance, 2018, 33(10): 803-808. DOI: 10.3784/j.issn.1003-9961.2018.10.004
Citation: Ying Li, Shuang Zhang, Yanbo Wang, Yanchun Zhang, He Zhang, Hongmei Ma. Epidemiological and molecular characteristics of Salmonella in patients with diarrhea in Shunyi district of Beijing, 2014−2017[J]. Disease Surveillance, 2018, 33(10): 803-808. DOI: 10.3784/j.issn.1003-9961.2018.10.004

Epidemiological and molecular characteristics of Salmonella in patients with diarrhea in Shunyi district of Beijing, 2014−2017

  • ObjectiveTo understand epidemiological and molecular characteristics of Salmonella in patients with diarrhea in Shunyi district of Beijing and provide evidence for the prevention and control of Salmonellainfection.MethodsThe stool samples of diarrhea patients were collected for Salmonella isolation and the molecular typing of the isolates was performed with pulsed field gel electrophoresis (PFGE). Statistical, comparative and descriptive analyses were conducted by suing the epidemiological data of the diarrhea patients.ResultsThe detection rate of Salmonella was 5.23% in the diarrhea patients in Shunyi. Twenty one serotypes were detected, S. Typhimurium (32.89%) and S.Enteritis (30.26%) were predominant. The peaks of Salmonella detection occurred in Spring and Autumn; There was a significant difference in detection rate of S. Enteritidis between males and females; The patients in higher body temperature group had higher detection rate of Salmonella, the difference was significant (χ2=22.579, P<0.001). The PFGE analysis showed multiple aggregation phenomenon.ConclusionSalmonella is a major diarrhea pathogen in Shunyi district of Beijing. Salmonella with different serotypes showed different epidemiological and molecular characteristics. It is necessary to conduct identification, early-warning, tracing and assessment for Salmonella caused foodborne diseases and enteric infectious diseases by using China Pathogenic Identification Net.
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