| Literature DB >> 35215810 |
Zhenlu Sun1,2, Jinjie Xu2, Peihua Niu1, Miao Jin3, Qiao Gao2, Ruiqing Zhang1, Ji Wang1,4, Yong Zhang5, Xuejun Ma1,6.
Abstract
This study aimed to analyse the pathogenic spectrum and epidemiological characteristics of infectious diarrhea in Yantai City, Shandong Province, China and provide a reference for its prevention and control. A total of 713 stool specimens collected within 3 days of diarrhea onset from January to December 2017 at secondary or higher hospitals in Yantai City were tested for 10 causative pathogens, using real-time polymerase chain reaction (RT-PCR). The top two rotaviruses and norovirus were analysed for typing and geographical distribution. The total positive rate was 46.56% (332/713), and 268 of 713 specimens contained at least one pathogen; 64 had at least two pathogens, accounting for 19.28% of the positive specimens (64/332). The positivity rates of rotavirus (RV), norovirus (NoVs) GI, norovirus (NoVs) GII, enterovirus universal (EV), enteric adenoviruses (EAdV), sapovirus (SaV), astrovirus (Astv), Salmonella (SE), Listeria monocytogenes (LiMo), and Vibrio parahaemolyticus (VP) were 20.06% (143/713), 1.82% (13/713), 12.84% (89/713), 10.66% (76/713), 4.07% (29/713), 0.42% (3/713), 2.38% (17/713), 1.54% (11/713), 1.82% (13/713), and 1.54% (11/713), respectively. Infectious diarrhea showed a high prevalence in young children aged 1-5 years, accounting for 48.6% of the total number of cases. Bacterial diarrhea was predominant in summer, and viral diarrhea was distributed throughout the year, without a significant seasonal pattern. Rotavirus is dominated by G9P, accounting for 81.82%, while norovirus is dominated by the GII type and has diverse characteristics. The aetiology of infectious diarrhea in Yantai is mainly viral, with RV, NoVs, EV, EAdV, and Astv being the most frequent pathogens. Continuous surveillance of infectious diarrhea diseases can help us understand its epidemiological and pathogenic characteristics, thereby taking targeted preventive and control measures in different seasons.Entities:
Keywords: bacteria; infectious diarrhea; pathogen spectrum; virus
Mesh:
Year: 2022 PMID: 35215810 PMCID: PMC8875874 DOI: 10.3390/v14020216
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Figure 1Pathogenic spectrum of infectious diarrhea in Yantai, China in 2017.
Figure 2Seasonal distribution of ten pathogens of infectious diarrhea in Yantai, China, 2017.
Figure 3Age distribution map of ten pathogens of infectious diarrhea in Yantai, China in 2017.
Figure 4RV and NoVs distribution in different districts of Yantai in 2017.
Figure 5Genotyping and phylogenetic analysis of capsid protein region of Yantai Norovirus GII strain in 2017. Note: The red number represents the Yantai virus strain.