1
|
Liu Y, Liu T, Yao M, Kou Z, Li R. Exploring barriers to influenza vaccine uptake and recommendation among healthcare providers in the community in China: A qualitative study. Hum Vaccin Immunother 2024; 20:2352916. [PMID: 38744298 PMCID: PMC11095569 DOI: 10.1080/21645515.2024.2352916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
Healthcare providers (HCPs) are recommended for priority influenza vaccination due to their high risk of contracting influenza. HCPs greatly aid in targeted population immunization campaigns. Therefore, understanding the factors that influence HCPs' decisions to get vaccinated and to recommend influenza vaccination is essential. However, there currently needs to be more evidence on this topic in China. Qualitative interviews using a semi-structured interview method were conducted with 180 HCPs from urban community hospitals and town hospitals in four cities in Shandong Province during August 2023. The interview content was analyzed using thematic analysis to identify the variables impacting the vaccination and recommendation practices of HCPs, as well as their suggestions for improving vaccination services. The results will help support the future development of precise intervention measures as well as focused education and training.
Collapse
Affiliation(s)
- Yuwei Liu
- College of Public Health, Shandong Second Medical University, Weifang, China
| | - Ti Liu
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Mingxiao Yao
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Renpeng Li
- Shandong Provincial Center for Health Science & Technology and Talents Development, Shandong, China
| |
Collapse
|
2
|
Wang S, Xie H, Liu L, Du L, Yin F, Chen Y, Liu Z, Sun G, Zhang X, Sun D, Fang M, Cheng L, Chen Y, Kou Z, Zheng B. A Rare Waterborne Outbreak of Bacillus paranthracis in Shandong Province, China, 2020: Epidemiologic Survey, Genomic Insights, and Virulence Characteristics. Emerg Microbes Infect 2024:2348498. [PMID: 38686555 DOI: 10.1080/22221751.2024.2348498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
ABSTRACTBacillus paranthracis, a Gram-positive conditional pathogen of Bacillus cereus group species, is capable of causing foodborne and waterborne illnesses, leading to intestinal diseases in humans characterized by diarrhea and vomiting. However, documented cases of B. paranthracis infection outbreaks are rare in the world, and the genomic background of outbreak strains is seldom characterized. This study retrospectively analyzed strains obtained from a outbreak in schools, as well as from water systems in peri-urban areas, China, in 2020.In total, 28 B. cereus group isolates were retrieved, comprising 6 from stool samples and 22 from water samples. Epidemiological and phylogenetic investigations indicated that the B. paranthracis isolate from drinking water as the causative agent of the outbreak. Genomic comparison revealed a high degree of consistency among 8 outbreak-related strains in terms of antimicrobial resistance gene profiles, virulence gene profiles, genomic content, and multilocus sequence typing (MLST). The strains related to the outbreak show highly similar genomic ring diagrams and close phylogenetic relationships. Additionally, this study shed light on the pathogenic potential and complexity of B. cereus group through its diversity in virulence genes and mice infection model. The findings highlight the usefulness of B. paranthracis genomes in understanding genetic diversity within specific environments and in tracing the source of pathogens during outbreak situations, thereby enabling targeted infection control interventions.
Collapse
Affiliation(s)
- Shuang Wang
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Hengjie Xie
- Shandong Institute for Food and Drug Control, Jinan, People's Republic of China
| | - Lu Liu
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Lei Du
- Shandong Public Health Clinical Center Affiliated to Shandong University, Jinan, People's Republic of China
| | - Fang Yin
- Weifang People's Hospital, Weifang, People's Republic of China
| | - Yuzhen Chen
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Ziqing Liu
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Gaoxiang Sun
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Xiaomei Zhang
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Dapeng Sun
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Ming Fang
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Lixiao Cheng
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Yanru Chen
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Beiwen Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China
| |
Collapse
|
3
|
Duan Q, Wang Y, Jiang X, Ding S, Zhang Y, Yao M, Pang B, Tian X, Ma W, Kou Z, Wen H. Spatial-temporal drivers and incidence heterogeneity of hemorrhagic fever with renal syndrome transmission in Shandong Province, China, 2016-2022. BMC Public Health 2024; 24:1032. [PMID: 38615002 PMCID: PMC11015691 DOI: 10.1186/s12889-024-18440-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 03/26/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Hemorrhagic fever with renal syndrome (HFRS) signals a recurring risk in Eurasia in recent years owing to its continued rise in case notifications and the extension of geographical distribution. This study was undertaken to investigate the spatiotemporal drivers and incidence heterogeneity of HFRS transmission in Shandong Province. METHODS The epidemiological data for HFRS, meteorological data and socioeconomic data were obtained from China Information System for Disease Control and Prevention, China Meteorological Data Sharing Service System, and Shandong Statistical Yearbook, respectively. The spatial-temporal multicomponent model was employed to analyze the values of spatial-temporal components and the heterogeneity of HFRS transmission across distinct regions. RESULTS The total effect values of the autoregressive, epidemic, and endemic components were 0.451, 0.187, and 0.033, respectively, exhibiting significant heterogeneity across various cities. This suggested a pivotal role of the autoregressive component in propelling HFRS transmission in Shandong Province. The epidemic component of Qingdao, Weifang, Yantai, Weihai, and Jining declined sharply at the onset of 2020. The random effect identified distinct incidence levels associated with Qingdao and Weifang, signifying regional variations in HFRS occurrence. CONCLUSIONS The autoregressive component emerged as a significant driver in the transmission of HFRS in Shandong Province. Targeted preventive measures should be strategically implemented across various regions, taking into account the predominant component influencing the epidemic.
Collapse
Affiliation(s)
- Qing Duan
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Yao Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Xiaolin Jiang
- Ministry of Research and Education, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Shujun Ding
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Yuwei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Mingxiao Yao
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Bo Pang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Xueying Tian
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Wei Ma
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Zengqiang Kou
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, 250014, China.
| | - Hongling Wen
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
| |
Collapse
|
4
|
Li Y, Yu Y, Zhao J, Ding S, Zhang G, Yu X, Kou Z. Molecular Epidemiological Study of a Human Brucellosis Outbreak - Weihai City, Shandong Province, China, 2022. China CDC Wkly 2024; 6:230-234. [PMID: 38633432 PMCID: PMC11018512 DOI: 10.46234/ccdcw2024.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/17/2024] [Indexed: 04/19/2024] Open
Abstract
What is already known about this topic? Brucellosis, mainly caused by Brucella melitensis (B. melitensis), is regarded as a significant zoonotic disease in China. In Weihai, located at the eastern end of the Shandong Peninsula, brucellosis has been in a low epidemic phase for the past five years. What is added by this report? This was the initial report of a brucellosis outbreak in the last five years. Strains of B. melitensis bv. 3 from Weihai and other cities showed a close genetic relationship, suggesting a potential common ancestry. What are the implications for public health practice? Epidemiological investigations depend on standardized and effective molecular typing methods and analysis tools for public health laboratories to identify and trace outbreaks. Understanding the circulation patterns of livestock in free-range households in heavily affected areas is essential for controlling the spread of brucellosis.
Collapse
Affiliation(s)
- Yan Li
- Shandong Provincial Center for Disease Control and Prevention, Jinan City, Shandong Province, China
| | - Yifan Yu
- Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan City, Shandong Province, China
| | - Jian Zhao
- Weihai Municipal Center for Disease Control and Prevention, Weihai City, Shandong Province, China
| | - Shujun Ding
- Shandong Provincial Center for Disease Control and Prevention, Jinan City, Shandong Province, China
| | - Guoying Zhang
- Weihai Municipal Center for Disease Control and Prevention, Weihai City, Shandong Province, China
| | - Xiaolin Yu
- Shandong Provincial Center for Disease Control and Prevention, Jinan City, Shandong Province, China
| | - Zengqiang Kou
- Shandong Provincial Center for Disease Control and Prevention, Jinan City, Shandong Province, China
| |
Collapse
|
5
|
Zhang C, Wang X, Sun D, Li Y, Feng Y, Zhang R, Zheng Y, Kou Z, Liu Y. Modification effects of long-term air pollution levels on the relationship between short-term exposure to meteorological factors and hand, foot, and mouth disease: A distributed lag non-linear model-based study in Shandong Province, China. Ecotoxicol Environ Saf 2024; 272:116060. [PMID: 38310825 DOI: 10.1016/j.ecoenv.2024.116060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/28/2024] [Accepted: 01/29/2024] [Indexed: 02/06/2024]
Abstract
The occurrence of hand, foot, and mouth disease (HFMD) is closely related to meteorological factors. However, location-specific characteristics, such as persistent air pollution, may increase the complexity of the impact of meteorological factors on HFMD, and studies across different areas and populations are largely lacking. In this study, a two-stage multisite time-series analysis was conducted using data from 16 cities in Shandong Province from 2015 to 2019. In the first stage, we obtained the cumulative exposure-response curves of meteorological factors and the number of HFMD cases for each city. In the second stage, we merged the estimations from the first stage and included city-specific air pollution variables to identify significant effect modifiers and how they modified the short-term relationship between HFMD and meteorological factors. High concentrations of air pollutants may reduce the risk effects of high average temperature on HFMD and lead to a distinct peak in the cumulative exposure-response curve, while lower concentrations may increase the risk effects of high relative humidity. Furthermore, the effects of average wind speed on HFMD were different at different levels of air pollution. The differences in modification effects between subgroups were mainly manifested in the diversity and quantity of significant modifiers. The modification effects of long-term air pollution levels on the relationship between sunshine hours and HFMD may vary significantly depending on geographical location. The people in age<3 and male groups were more susceptible to long-term air pollution. These findings contribute to a deepening understanding of the relationship between meteorological factors and HFMD and provide evidence for relevant public health decision-making.
Collapse
Affiliation(s)
- Chao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250000, China
| | - Xianjun Wang
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Dapeng Sun
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yan Li
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yiping Feng
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Rongguo Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250000, China
| | - Yongxiao Zheng
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250000, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Jinan, China.
| | - Yunxia Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250000, China; Climate Change and Health Center, Shandong University, Jinan, Shandong 250012, China.
| |
Collapse
|
6
|
Zhao J, Pang B, Liu C, Wang X, Chen S, Feng H, Kou Z, Wu T, Xu C, Yang L. Infections and Influencing Factors of Pathogens in Rattus norvegicus along the Zengjiang River in Guangzhou, China. Vector Borne Zoonotic Dis 2024; 24:46-54. [PMID: 38193886 DOI: 10.1089/vbz.2023.0045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024] Open
Abstract
Background: Rattus norvegicus can carry and transmit various zoonotic pathogens. Some studies were conducted to investigate a few zoonotic pathogens in Guangzhou, China, but no coinfections were investigated or specifically mentioned. Studies on the infections and the influencing factors of various zoonotic pathogens in R. norvegicus along the Zengjiang River in Guangzhou have not been carried out. Materials and Methods: In this study, R. norvegicus was captured in November 2020 and September 2021 along the Zengjiang River, and was tested for Bartonella spp., Leptospira spp., Orientia tsutsugamushi, Borrelia burgdorferi, Hantavirus (HV), Ehrlichia spp., and severe fever with thrombocytopenia syndrome virus (SFTSV) by the RT-PCR. Logistic regression analysis was used to determine the impact of habitat and demographic factors on the infections and coinfections of the surveyed pathogens. Results: In 119 R. norvegicus, the detection rates of Bartonella spp., Leptospira spp., O. tsutsugamushi, B. burgdorferi, and HV were 46.2%, 31.9%, 5%, 0.8%, and 18.5%, respectively. Ehrlichia spp. and SFTSV were negative. The triple coinfection rate of Bartonella spp., Leptospira spp., and HV was 11.8%. In addition, the coinfection of Bartonella spp., Leptospira spp., and B. burgdorferi was 0.8%. Dual coinfection of Bartonella spp. and Leptospira spp., Leptospira spp. and HV, Bartonella spp. and O. tsutsugamushi, Leptospira spp. and O. tsutsugamushi, and HV and O. tsutsugamushi was 9.2%, 3.4%, 1.7%, 1.7%, and 0.8%, respectively. Infections of these pathogens in R. norvegicus were found in habitats of banana plantation, grassland, and bush. Weight affected the infection of Bartonella spp., Leptospira spp., or HV in R. norvegicus. Conclusions: R. norvegicus along the Zengjiang River not only carried various potentially zoonotic pathogens but also had a variety of coinfections. Surveillance of the density and pathogens in R. norvegicus should be strengthened to reduce the incidence of relevant zoonotic diseases.
Collapse
Affiliation(s)
- Jiaqi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bo Pang
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Chao Liu
- Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Xiaodong Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shouyi Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Haiyan Feng
- Zengcheng District Center for Disease Control and Prevention, Guangzhou, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Taoyu Wu
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Conghui Xu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Liping Yang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| |
Collapse
|
7
|
Yuan H, Li R, Lv J, Yi G, Sun X, Zhao N, Zhao F, Xu A, Kou Z, Wen H. Epidemiology of human papillomavirus on condyloma acuminatum in Shandong Province,China. Hum Vaccin Immunother 2023; 19:2170662. [PMID: 36919446 PMCID: PMC10064924 DOI: 10.1080/21645515.2023.2170662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/15/2023] [Indexed: 03/16/2023] Open
Abstract
Condyloma acuminatum (CA) is a sexually transmitted disease (STD) caused by human papillomavirus (HPV) infection. It is important to study the prevalence and distribution of HPV genotypes before implementing the HPV vaccination program. Therefore, the aim of this study was to evaluate the epidemiological characteristics of CA cases and the distribution of HPV genotypes in Shandong Province, China. One-to-one questionnaire surveys were conducted on all patients diagnosed with CA in sentinel hospitals from Shandong Province, China. HPV genotypes were determined using the polymerase chain reaction (PCR)-reverse dot blot hybridization method. The study enrolled 1185 patients (870 males and 315 females) and found that CA patients are mainly males and sexually active people between the ages of 20 and 40. Recurrence occurred in 34.7% patients. Among the 880 CA patients who underwent HPV typing, the HPV test positivity rate was 91.4%. In these cases, low-risk (LR) HPV infection was predominant, with an infection rate of 91.3%, while high-risk (HR) HPV genotypes were found in 53.5% patients. The most frequent HPV genotypes encountered were HPV6 (57.8%), HPV11 (37.2%), HPV16 (13.7%), and HPV42 (10.3%). HPV6 and/or HPV11 are the main infections in all patients, and more than half of the patients are coinfected with HR-HPV. However, unlike other regions, HPV42 has a higher prevalence rate among CA patients in Shandong Province and is a nonvaccine HPV genotype. Therefore, regular HPV typing helps to understand the characteristics of specific genotypes and the choice of the best type for vaccine coverage.
Collapse
Affiliation(s)
- Haowen Yuan
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Key laboratory for the prevention and control of infectious diseases (key labor-atory of China’s “13th Five-Year”, Shandong University), Jinan, China
| | - Renpeng Li
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Jian Lv
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
| | - Guipeng Yi
- School of Public Health, Weifang Medical University, Weifang, China
| | - Xihong Sun
- Department of Infectious Disease Prevention and Control, Jining City Center for Disease Control and Prevention, Jining, China
| | - Na Zhao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Veneorology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Fengjun Zhao
- Department of Andrology, Shandong Oriental Andrology Hospital, Jinan, China
| | - Aiqiang Xu
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Hongling Wen
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Key laboratory for the prevention and control of infectious diseases (key labor-atory of China’s “13th Five-Year”, Shandong University), Jinan, China
| |
Collapse
|
8
|
Duan Q, Tian X, Pang B, Zhang Y, Xiao C, Yao M, Ding S, Zhang X, Jiang X, Kou Z. Spatiotemporal distribution and environmental influences of severe fever with thrombocytopenia syndrome in Shandong Province, China. BMC Infect Dis 2023; 23:891. [PMID: 38124061 PMCID: PMC10731860 DOI: 10.1186/s12879-023-08899-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease discovered in China in 2009. The purpose of this study was to describe the spatiotemporal distribution of SFTS and to identify its environmental influencing factors and potential high-risk areas in Shandong Province, China. METHODS Data on the SFTS incidence from 2010 to 2021 were collected. Spatiotemporal scan statistics were used to identify the time and area of SFTS clustering. The maximum entropy (MaxEnt) model was used to analyse environmental influences and predict high-risk areas. RESULTS From 2010 to 2021, a total of 5705 cases of SFTS were reported in Shandong. The number of SFTS cases increased yearly, with a peak incidence from April to October each year. Spatiotemporal scan statistics showed the existence of one most likely cluster and two secondary likely clusters in Shandong. The most likely cluster was in the eastern region, from May to October 2021. The first secondary cluster was in the central region, from May to October 2021. The second secondary cluster was in the southeastern region, from May to September 2020. The MaxEnt model showed that the mean annual wind speed, NDVI, cattle density and annual cumulative precipitation were the key factors influencing the occurrence of SFTS. The predicted risk map showed that the area of high prevalence was 28,120 km2, accounting for 18.05% of the total area of the province. CONCLUSIONS The spatiotemporal distribution of SFTS was heterogeneous and influenced by multidimensional environmental factors. This should be considered as a basis for delineating SFTS risk areas and developing SFTS prevention and control measures.
Collapse
Affiliation(s)
- Qing Duan
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
- Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Xueying Tian
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Bo Pang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Yuwei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Chuanhao Xiao
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Mingxiao Yao
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Shujun Ding
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Xiaomei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
| | - Xiaolin Jiang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
| | - Zengqiang Kou
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
| |
Collapse
|
9
|
Yu X, Fang M, Li Y, Yu J, Cheng L, Ding S, Kou Z. Epidemiological characteristics and spatio-temporal analysis of brucellosis in Shandong province, 2015-2021. BMC Infect Dis 2023; 23:669. [PMID: 37814221 PMCID: PMC10561485 DOI: 10.1186/s12879-023-08503-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 07/31/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Brucellosis is one of the major public health problems in China, it not only causes huge economic losses to the society, but also threatens the human's physical and mental health. The reported cases of brucellosis in Shandong province were at a high level, therefore, it is necessary for us to understand the epidemic characteristics and distribution trend of Brucellosis in Shandong province. This study aims to describe the epidemiological characteristics and spatial clustering characteristics of brucellosis in Shandong Province, provide a reference for the scientific prevention and control. METHODS Human brucellosis data in Shandong province from 2015 to 2021 were obtained from the China Information System for Disease Control and Prevention, the data were analyzed by descriptive epidemiological methods, spatial autocorrelation analysis and spatial-temporal cluster analysis methods use ArcGIS and SaTScan software, the results were presented in ArcMap. RESULTS A total of 22,251 human cases of brucellosis were reported, the annual incidence ranged between 2.41/100,000 and 4.07/100,000 from 2015 to 2021 in Shandong province, incidence has been decreasing year by year, while there was a significant increase in 2021. The distribution of brucellosis was of a seasonal trend, mainly concentrating during March to August. The age of the cases was mainly concentrated in the 30-74 age ranges, the average annual incidence rate was significantly higher in males than in females. The spatial analysis showed that the epidemics were mainly concentrated in the north and southwest. For the spatial autocorrelation analysis, a high global autocorrelation was observed at the county level, and the high-high clusters mainly distributed in the north and southwest region. For the spatio-temporal scanning, the most likely cluster areas mainly distributed in the north area, and then gradually moved southward, and the radius of clustered narrowed. CONCLUSIONS Human brucellosis remains a common challenge, particularly in northern region in spring and summer. More disease prevention and control measures should be taken in high-risk populations, and such higher-risk susceptible areas to reduce the incidence of brucellosis and ensure the health of the people.
Collapse
Affiliation(s)
- Xiaolin Yu
- Institute for Communicable Disease Control and Prevention, Shandong provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Ming Fang
- Institute for Communicable Disease Control and Prevention, Shandong provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yan Li
- Institute for Communicable Disease Control and Prevention, Shandong provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Jianmei Yu
- Institute for Communicable Disease Control and Prevention, Shandong provincial Center for Disease Control and Prevention, Jinan, Shandong, China
- Department of public health and health management, Shandong First Medical University, Jinan, Shandong, China
| | - Lixiao Cheng
- Institute for Communicable Disease Control and Prevention, Shandong provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Shujun Ding
- Institute for Communicable Disease Control and Prevention, Shandong provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Zengqiang Kou
- Institute for Communicable Disease Control and Prevention, Shandong provincial Center for Disease Control and Prevention, Jinan, Shandong, China.
| |
Collapse
|
10
|
Wang Y, Pang B, Wang Z, Tian X, Xu X, Chong X, Liang H, Ma W, Kou Z, Wen H. Genomic diversity and evolution analysis of severe fever with thrombocytopenia syndrome in East Asia from 2010 to 2022. Front Microbiol 2023; 14:1233693. [PMID: 37670982 PMCID: PMC10476882 DOI: 10.3389/fmicb.2023.1233693] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/08/2023] [Indexed: 09/07/2023] Open
Abstract
Background Conducting an up-to-date analysis on the genomic diversity and evolution patterns of severe fever with thrombocytopenia syndrome virus (SFTSV) is crucial for elucidating the underlying mechanisms of its emergency and pathogenicity, as well as assessing the extent of its threat to public health. Methods Complete genome sequences of SFTSV were obtained from GenBank until December 19, 2022. A thorough phylogenetic analysis was conducted using comprehensive bioinformatics methods to estimate the genomic diversity and evolution. Results The phylogenetic classification of SFTSV strains yielded seven lineages (A-G) for each genome segment. SFTSV displayed notable variations in evolutionary patterns among different regions and segments, without a linear accumulation of nucleotide substitutions within segments and regions. The comprehensive analysis revealed 54 recombination events and 17 reassortment strains, including the first discovery of recombination events involving sea-crossing and species-crossing. Selection analysis identified three positive sites (2, 671, 1353) in RNA-dependent RNA polymerase, three positive sites (22, 298, 404) in glycoprotein, and two positive sites (9, 289) in nonstructural protein. No positive selection sites were found in nucleoprotein. Conclusion Our study unveiled the existence of multiple evolutionary forces influencing SFTSV, contributing to its increasing genetic diversity, which had the potential to modify its antigenicity and pathogenicity. Furthermore, our study highlights the importance of tracking the spread of SFTSV across regions and species.
Collapse
Affiliation(s)
- Yao Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bo Pang
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Zequn Wang
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xueying Tian
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Xiaoying Xu
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaowen Chong
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hao Liang
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wei Ma
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zengqiang Kou
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Hongling Wen
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| |
Collapse
|
11
|
Yang W, Yan J, Liu R, Xie Y, Wang C, Kou Z, Li P, Jiang M. Ultra-sensitive specific detection of nucleic acids in pathogenic infections by Ta 2C-MXene sensitization-based ultrafine plasmon spectroscopy combs. Sens Actuators B Chem 2023; 387:133785. [PMID: 37038556 PMCID: PMC10077810 DOI: 10.1016/j.snb.2023.133785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 03/30/2023] [Accepted: 04/05/2023] [Indexed: 05/21/2023]
Abstract
Accurate and rapid population-scale screening techniques based on SARS-CoV-2 RNA are essential in preventing and controlling the COVID-19 epidemic. However, the sensitivity and specificity of the assay signal are challenged by the problems of target dilution and sample contamination inherent in high-volume pooled testing. Here, we reported a collaborative system of high-loaded hybrid probes targeting N and OFR1a coupling with the novel Ta2C-M/Au/TFBG biosensor, providing high-intensity vector signals for detecting SARS-CoV-2. The method relies on a segmental modification approach to saturable modify multiple activation sites of SARS-CoV-2 on the high-performance Ta2C-M surface. The coupling of multi-site synergy with composite excited TFBG results in excellent signal transduction, detection limits (0.2 pg/mL), and hybridization efficiency. Without relying on amplification, the collaborative system achieved specific differentiation of 30 clinical samples in an average diagnostic time of 1.8 min. In addition, for the first time, a kinetic determination of dilution mixed samples was achieved and showed a high-intensity carrier signal and fantastic stability. Therefore, it can be used as a collaborative, integrated tool to play a massive role in the screening, prevention, and control of COVID-19 and other epidemics.
Collapse
Affiliation(s)
- Wen Yang
- School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China
| | - Jie Yan
- School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China
| | - Runcheng Liu
- School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China
| | - Yan Xie
- The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan 250033, Shandong, China
| | - Chuanxin Wang
- The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan 250033, Shandong, China
| | - Zengqiang Kou
- The Center for Disease Control and Prevention of Shandong, No. 16992, Jingshi Road, Lixia District, Jinan 250014, Shandong, China
| | - Peilong Li
- The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan 250033, Shandong, China
| | - Mingshun Jiang
- School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China
| |
Collapse
|
12
|
Liu Y, Kou Z, Wang X, Chen S, Li R, Wang Q. Case report: One human Streptococcus suis infection in Shandong Province, China. Medicine (Baltimore) 2023; 102:e33491. [PMID: 37026935 PMCID: PMC10082318 DOI: 10.1097/md.0000000000033491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Streptococcus suis is an emerging zoonotic pathogen. Human infections with S suis have been identified in Europe, North America, South America, Oceania, Africa and Asia. As the most common clinical symptom of human S suis, meningitis develops in 50% to 60% of infected patients, and approximately 60% of the patients with meningitis symptoms have neurologic sequelae. The cost of infection with S suis imposes a tremendous burden on patients' families. CASE PRESENTATION A 56-year-old woman was infected with S suis. The patient reared pigs in her backyard. At admission, her blood examination showed a leukocyte count of 27.28 × 109/L with 94.20% neutrophils. Cerebrospinal fluid was cloudy with a leukocyte count of 2700 × 106/L. Cerebrospinal fluid cultures revealed gram-positive cocci identified as S suis type II. Ceftriaxone was then administered. CONCLUSION Human infections with S suis highlights the need for health education, prevention and surveillance it.
Collapse
Affiliation(s)
- Yuwei Liu
- College of Public Health, Weifang Medical University, Weifang, P.R. China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Weifang, P.R. China
| | - Xin Wang
- College of Public Health, Weifang Medical University, Weifang, P.R. China
| | - Shuyu Chen
- College of Public Health, Weifang Medical University, Weifang, P.R. China
| | - Renpeng Li
- Shandong Center for Disease Control and Prevention, Weifang, P.R. China
| | - Qiang Wang
- Department of Epidemiology, Weifang Medical University, Weifang, P.R. China
| |
Collapse
|
13
|
Xu Y, Liu T, Li Y, Wei X, Wang Z, Fang M, Zhang Y, Zhang H, Zhang L, Zhang J, Xu J, Tian Y, He N, Zhang Y, Wang Y, Yao M, Pang B, Wang S, Wen H, Kou Z. Transmission of SARS-CoV-2 Omicron Variant under a Dynamic Clearance Strategy in Shandong, China. Microbiol Spectr 2023; 11:e0463222. [PMID: 36916974 PMCID: PMC10101114 DOI: 10.1128/spectrum.04632-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/20/2023] [Indexed: 03/16/2023] Open
Abstract
SARS-CoV-2 Omicron caused a large wave of COVID-19 cases in China in spring 2022. Shandong was one of the most affected regions during this epidemic yet was also among those areas that were able to quickly contain the transmission. We aimed to investigate the origin, genetic diversity, and transmission patterns of the Omicron epidemic in Shandong under a dynamic clearance strategy. We generated 1,149 Omicron sequences, performed phylogenetic analysis, and interpreted results in the context of available epidemiological information. We observed that there were multiple introductions of distinct Omicron sublineages into Shandong from foreign countries and other regions in China, while a small number of introductions led to majority of local cases. We found evidence suggesting that some local clusters were potentially associated with foreign imported cases. Superspreading events and cryptic transmissions contributed to the rapid spread of this epidemic. We identified a BA.1.1 genome with the R493Q reversion mutation in the spike receptor binding domain, potentially associated with an escape from vaccine and Omicron infection elicited neutralizing immunity. Our findings illustrated how the dynamic clearance strategy constrained this epidemic's size, duration, and geographical distribution. IMPORTANCE Starting in March 2022, the Omicron epidemic caused a large wave of COVID-19 cases in China. Shandong was one of the most affected regions during this epidemic but was also among those areas that were able to quickly contain the transmission. We investigated the origin, genetic diversity, and transmission patterns of Omicron epidemic in Shandong under a dynamic clearance strategy. We found that there were multiple introductions of distinct Omicron sublineages into Shandong from foreign countries and other regions in China, while a small number of introductions led to most local cases. We found evidence suggesting that some local clusters were associated with foreign imported cases. Superspreading events and cryptic transmissions contributed to the rapid spread of this epidemic. Our study illustrated the transmission patterns of Omicron epidemic in Shandong and provided a looking glass onto this epidemic in China.
Collapse
Affiliation(s)
- Yifei Xu
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Suzhou Research Institute of Shandong University, Suzhou, Jiangsu, China
| | - Ti Liu
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yan Li
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xuemin Wei
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zhaoguo Wang
- Qingdao Center for Disease Control and Prevention, Qingdao, Shandong, China
| | - Ming Fang
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yuwei Zhang
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Huaning Zhang
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Lifang Zhang
- Binzhou Center for Disease Control and Prevention, Binzhou, Shandong, China
| | - Jinbo Zhang
- Weihai Center for Disease Control and Prevention, Weihai, Shandong, China
| | - Jin Xu
- Zibo Center for Disease Control and Prevention, Zibo, Shandong, China
| | - Yunlong Tian
- Yantai Center for Disease Control and Prevention, Yantai, Shandong, China
| | - Nianzheng He
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yuhan Zhang
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yao Wang
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Mingxiao Yao
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Bo Pang
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Shuang Wang
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Hongling Wen
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| |
Collapse
|
14
|
Wei X, Li S, Lu Y, Qiu L, Xu N, Guo X, Chen M, Liang H, Cheng D, Zhao L, Hao S, Kou Z, Wen H. Severe fever with thrombocytopenia syndrome virus aerosol infection in C57/BL6 mice. Virology 2023; 581:58-62. [PMID: 36913913 DOI: 10.1016/j.virol.2023.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 03/06/2023]
Abstract
Although secondary cases have become infected with the SFTSV after being in the same space without direct contact with the index case, it has not been experimentally determined if the SFTSV can be transmitted through aerosols. Here, this study aimed to verify if the SFTSV could be transmitted by aerosols. Firstly, we demonstrated that the SFTSV can infect BEAS-2B cells, and SFTSV genomes can be isolate from mild patient's sputum, which provided a foundation for the existence of SFTSV aerosol transmission. Then, we evaluated total antibody production in serum and viral load in tissue of mice infected with SFTSV by aerosols. The results showed that the presence of antibodies is related to the dose of virus infection and the SFTSV preferentially replicates in the lungs of mice following an aerosol exposure. Our study will help update the prevention and treatment guidelines for SFTSV and prevent the spread of the SFTSV in hospitals.
Collapse
Affiliation(s)
- Xuemin Wei
- Department of Virology, School of Public Health, Cheeloo College of Medicine, Shandong University, key laboratory for the prevention and control of infectious diseases (key laboratory of China's "13th Five-Year", Shandong University), Jinan, 250000, Shandong, China
| | - Shuhan Li
- Department of Virology, School of Public Health, Cheeloo College of Medicine, Shandong University, key laboratory for the prevention and control of infectious diseases (key laboratory of China's "13th Five-Year", Shandong University), Jinan, 250000, Shandong, China
| | - Yan Lu
- Cheeloo Hospital, Shandong University, Jinan, Shandong Province, China
| | - Ling Qiu
- Department of Infection, Shandong Provincial Public Health Clinical Center, Jinan, Shandong Province, China
| | - Nannan Xu
- Cheeloo Hospital, Shandong University, Jinan, Shandong Province, China
| | - Xianhu Guo
- Shandong Institute of Medical Device and Pharmaceutical Packaging Inspection, China
| | - Mengting Chen
- Department of Virology, School of Public Health, Cheeloo College of Medicine, Shandong University, key laboratory for the prevention and control of infectious diseases (key laboratory of China's "13th Five-Year", Shandong University), Jinan, 250000, Shandong, China
| | - Hao Liang
- Department of Virology, School of Public Health, Cheeloo College of Medicine, Shandong University, key laboratory for the prevention and control of infectious diseases (key laboratory of China's "13th Five-Year", Shandong University), Jinan, 250000, Shandong, China
| | - Dong Cheng
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, Shandong Province, China
| | - Li Zhao
- Department of Virology, School of Public Health, Cheeloo College of Medicine, Shandong University, key laboratory for the prevention and control of infectious diseases (key laboratory of China's "13th Five-Year", Shandong University), Jinan, 250000, Shandong, China
| | - Shubin Hao
- Shandong Institute of Medical Device and Pharmaceutical Packaging Inspection, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, Shandong Province, China
| | - Hongling Wen
- Department of Virology, School of Public Health, Cheeloo College of Medicine, Shandong University, key laboratory for the prevention and control of infectious diseases (key laboratory of China's "13th Five-Year", Shandong University), Jinan, 250000, Shandong, China.
| |
Collapse
|
15
|
Zhang Y, Han S, Guo X, Yao M, Zhao L, Sun W, Wang S, Pang B, Zhang S, Wang J, Fang M, Liu X, Kou Z, Jiang X. Breakthrough infection shapes humoral immunity against SARS-CoV-2 Omicron Variant. J Infect 2023; 86:e40-e42. [PMID: 36273640 PMCID: PMC9584761 DOI: 10.1016/j.jinf.2022.10.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 10/16/2022] [Indexed: 02/02/2023]
Affiliation(s)
- Yuwei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Shanshan Han
- School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Xingyu Guo
- School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Mingxiao Yao
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Lianxiang Zhao
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong Province, China
| | - Wenkui Sun
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Shuang Wang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Bo Pang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Shu Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Jianxing Wang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Ming Fang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Xiaolin Liu
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Zengqiang Kou
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Xiaolin Jiang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China; School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province, China; School of Public Health and Management, Binzhou Medical University, Yantai, Shandong Province, China.
| |
Collapse
|
16
|
Abstract
BACKGROUND Streptococcus suis (S suis) is a major pathogen of bacterial infectious diseases, which can be transmitted to human beings through close contact with sick pigs or carriers, and can cause toxic shock, meningitis, septicemia, pneumonia, and other complications, with an extremely high mortality and disability rate. S suis is also an emerging zoonotic agent, mainly occurring in China, Thailand, and the Netherlands. This seriously threatens the health and family economy of patients. CASE PRESENTATION A 75-year-old man presented with a 1-day history of fever, vomiting, coughing, chills, and unconsciousness. He was admitted with the diagnosis sepsis and intracranial infection. At admission, hematologic studies showed a leukocyte count of 23.45 × 109/L with 91% neutrophils. Chest computed tomography revealed double pneumonia. Blood cultures grew small colonies, which were identified as S suis. Antibiotic susceptibility testing revealed that the pathogen was susceptible to levofloxacin. And then, treatment with levofloxacin was implemented. Epidemiological investigations showed that the patient had eaten pork from a sick pig. When a patient with bacterial infection has a history of eating pork from sick pigs, human S suis infection should be taken seriously. CONCLUSION Although human S suis infection generally presents as a sporadic disease, its high burden highlights the importance of epidemiological surveillance and health education regarding human S suis infection.
Collapse
Affiliation(s)
- Shuyu Chen
- College of Public Health, Weifang Medical University, Shandong, China
| | - Renpeng Li
- Shandong Center for Disease Control and Prevention, China
| | - Xin Wang
- College of Public Health, Weifang Medical University, Shandong, China
| | - Yuwei Liu
- College of Public Health, Weifang Medical University, Shandong, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, China
| | - Qiang Wang
- Department of Epidemiology, Weifang Medical University, Shandong, China
- *Correspondence: Qiang Wang, Department of Epidemiology, Weifang Medical University, No. 7166 Baotong West street, Weifang 261053, Shandong, China (e-mail: ) and Zengqiang Kou, Shandong Center for Disease Control and Prevention, China (e-mail: )
| |
Collapse
|
17
|
Zhang Y, Guo X, Han S, Yao M, Zhang L, Zhao L, Zhang J, Jiang X, Zhang S, Pang B, Wang J, Wang S, Fang M, Liu X, Kou Z, Jiang X. Neutralization of SARS-CoV-2 omicron after BBIBP-CorV and ZF2001 booster vaccination. Travel Med Infect Dis 2022; 52:102531. [PMID: 36549416 PMCID: PMC9762096 DOI: 10.1016/j.tmaid.2022.102531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/19/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022]
Affiliation(s)
- Yuwei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Xingyu Guo
- School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Shanshan Han
- School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Mingxiao Yao
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Lin Zhang
- Linyi Center for Disease Control and Prevention, Linyi, Shandong Province, China
| | - Lianxiang Zhao
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong Province, China
| | - Jinzhong Zhang
- Liaocheng Center for Disease Control and Prevention, Liaocheng, Shandong Province, China
| | - Xiangkun Jiang
- Liaocheng Center for Disease Control and Prevention, Liaocheng, Shandong Province, China
| | - Shu Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Bo Pang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Jianxing Wang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Shuang Wang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Ming Fang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Xiaolin Liu
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Zengqiang Kou
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Xiaolin Jiang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China; School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province, China; School of Public Health and Management, Binzhou Medical University, Yantai, Shandong Province, China.
| |
Collapse
|
18
|
Wang S, Xie H, Chen Y, Liu L, Fang M, Sun D, Xu L, Bi Z, Sun G, Li Y, Yu X, Zhang H, Kou Z, Zheng B. Intestinal colonization with ESBL-producing Klebsiella pneumoniae in healthy rural villager: A genomic surveillance study in China, 2015-2017. Front Public Health 2022; 10:1017050. [PMID: 36589964 PMCID: PMC9798286 DOI: 10.3389/fpubh.2022.1017050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022] Open
Abstract
Background The worldwide emergence and diffusion of extended-spectrum β-lactamase-K. pneumoniae (ESBL-KP) is of particular concern. Although ESBL-KP can inhabit the human gut asymptomatically, colonization with ESBL-KP is associated with an increased risk of ESBL-KP infection and mortality. In this study, we investigated the prevalence and characteristics of ESBL-KP in fecal samples from healthy persons in 12 villages in Shandong Province, China. Methods Screening for ESBL-KP in fecal samples was performed by selective cultivation. The bacterial species were identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and 16S rDNA sequence analysis. Minimum inhibitory concentrations (MICs) of 16 antibiotics were determined by the agar dilution method. Plasmid replicons, antimicrobial resistance genes and Sequence types (STs) of the isolates were determined by whole-genome sequencing (WGS). Genetic relatedness of ESBL-KP isolates was determined by the single nucleotide polymorphisms (SNP). The S1 nuclease-pulsed-field gel electrophoresis (S1-PFGE) was used to characterize the plasmids carried by ESBL-KP isolates. Conjugation assays was used to verify the transferability of bla CTX - M. Results ESBL-KP prevalence rates increased from 12.0% in 2015 to 27.5% in 2017. The experimental results showed that 97% of isolates had multi-drug resistance. Multiple ESBL resistance genotypes were commonly detected in the isolates. STs among the ESBL-KP isolates were diverse. All 69 bla CTX-M-3-positive isolates were located on plasmids, and these genes could be transferred with plasmids between different strains. Phylogenetic analysis showed the possibility of transmission among some isolates. Conclusion This study obtained the drug resistance patterns, the drug resistance phenotype and molecular characteristics of fecal-derived ESBL-KP in rural communities in Shandong Province, China. We report a rapid increase in occurrence of ESBL-KP among fecal samples collected from healthy rural residents of Shandong Province from 2015 to 2017. The carriage rate of multidrug-resistant bacteria in healthy residents is increasing. Thus, a need for further monitoring and possible interventions of ESBL-KP in this region is warranted.
Collapse
Affiliation(s)
- Shuang Wang
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Hengjie Xie
- Department of Supervise Sampling, Shandong Institute for Food and Drug Control, Jinan, Shandong, China
| | - Yuzhen Chen
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Lu Liu
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Ming Fang
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Dapeng Sun
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Liuchen Xu
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Zhenqiang Bi
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Gaoxiang Sun
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yan Li
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xiaolin Yu
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Huaning Zhang
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China,*Correspondence: Huaning Zhang ✉
| | - Zengqiang Kou
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China,Zengqiang Kou ✉
| | - Beiwen Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China,Jinan Microecological Biomedicine Shandong Laboratory, Department of Structure and Morphology, Jinan, Shandong, China,Research Units of Infectious Diseases and Microecology, Chinese Academy of Medical Sciences, Beijing, China,Beiwen Zheng ✉
| |
Collapse
|
19
|
Yu X, Fang M, Wang S, Li Z, Cheng L, Liu Z, Zhang D, Dong D, Kou Z. Investigation on an outbreak of cutaneous anthrax in a county of Shandong Province, China, 2021. BMC Infect Dis 2022; 22:875. [DOI: 10.1186/s12879-022-07802-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 10/25/2022] [Indexed: 11/25/2022] Open
Abstract
Abstract
Background
In order to verify the existence of an anthrax outbreak, determine its scope, grasp the epidemiological characteristics and find out the cause of the outbreak and recommend preventive and control measures.
Methods
Etiological hypothesis was developed through descriptive epidemiological methods. Hypotheses were tested by analyzing epidemiological methods by comparing the differences in the incidence of different exposure types. Nucleic acid detection and bacterial isolation and culture in the BSL-2 laboratories. SPSS 21 was used to conduct statistical analysis.
Results
A total of 126 family, workshop, shop environment samples and meat samples were collected, and 6 samples were collected from skin lesions of suspected cutaneous anthrax cases. 41 samples were positive by rPCR and 8 strains of Bacillus anthracis were cultivated. Participated in slaughtering, cutting beef of sick cattles was significantly associated with cutaneous anthrax (RR 3.75, 95% CI 1.08–13.07), this behavior is extremely dangerous.
Conclusions
Comprehensive analysis of laboratory results and epidemiological survey results and environmental assessments, we judge this epidemic to be an outbreak of cutaneous anthrax, associated with slaughtering and other processes from infected cattle imported from other province.
Collapse
|
20
|
Liu T, Peng Y, Wu J, Lu S, He Y, Li X, Sun L, Song S, Zhang S, Li Z, Wang X, Zhang S, Liu M, Kou Z. Surveillance of avian influenza viruses in live bird markets of Shandong province from 2013 to 2019. Front Microbiol 2022; 13:1030545. [PMID: 36406436 PMCID: PMC9670132 DOI: 10.3389/fmicb.2022.1030545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 10/11/2022] [Indexed: 11/05/2022] Open
Abstract
Avian influenza viruses (AIVs) seriously affect the poultry industry and pose a great threat to humans. Timely surveillance of AIVs is the basis for preparedness of the virus. This study reported the long-term surveillance of AIVs in the live bird market (LBM) of 16 cities in Shandong province from 2013 to 2019. A total of 29,895 samples were obtained and the overall positive rate of AIVs was 9.7%. The H9 was found to be the most predominant subtype in most of the time and contributed most to the monthly positve rate of AIVs as supported by the univariate and multivariate analysis, while H5 and H7 only circulated in some short periods. Then, the whole-genome sequences of 62 representative H9N2 viruses including one human isolate from a 7-year-old boy in were determined and they were genetically similar to each other with the median pairwise sequence identities ranging from 0.96 to 0.98 for all segments. The newly sequenced viruses were most similar to viruses isolated in chickens in mainland China, especially the provinces in Eastern China. Phylogenetic analysis showed that these newly sequenced H9N2 viruses belonged to the same clade for all segments except PB1. Nearly all of these viruses belonged to the G57 genotype which has dominated in China since 2010. Finally, several molecular markers associated with human adaptation, mammalian virulence, and drug resistance were identified in the newly sequenced H9N2 viruses. Overall, the study deepens our understanding of the epidemic and evolution of AIVs and provides a basis for effective control of AIVs in China.
Collapse
Affiliation(s)
- Ti Liu
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yousong Peng
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha, China
| | - Julong Wu
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shangwen Lu
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha, China
| | - Yujie He
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xiyan Li
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Sun
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shaoxia Song
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shengyang Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Zhong Li
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xianjun Wang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shu Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Mi Liu
- Jiangsu Institute of Clinical Immunology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Mi Liu,
| | - Zengqiang Kou
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
- *Correspondence: Zengqiang Kou,
| |
Collapse
|
21
|
Wang Y, Pang B, Ma W, Kou Z, Wen H. Spatiotemporal analysis of severe fever with thrombocytopenia syndrome in Shandong Province, China, 2014-2018. BMC Public Health 2022; 22:1998. [PMID: 36319995 PMCID: PMC9624039 DOI: 10.1186/s12889-022-14373-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 10/18/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Due to recent emergence, severe fever with thrombocytopenia syndrome (SFTS) is becoming one of the major public health problems in Shandong Province, China. The numbers of reported SFTS cases in general and the area with reported SFTS cases are both continuously increasing in recent years. However, spatiotemporal patterns and clusters of SFTS in Shandong Province have not been investigated yet. METHODS The surveillance data of SFTS in Shandong Province, China, during 2014-2018 were extracted from China Information System for Disease Control and Prevention (CISDCP). Geoda software was used to explore spatial autocorrelation analysis, and Satscan software was used to identify spatio-temporal clustering of cases. The results were presented in ArcMap. RESULTS The annual average incidence was 0.567/100,000 in Shandong Province during 2014-2018. Results showed that the distribution of SFTS was not random but clustered in space and time. A most likely cluster including 15 counties was observed in the northeastern region of Shandong Province from January 1, 2015 to December 31, 2015 (Relative risk = 5.13, Log likelihood ratio = 361.266, P < 0.001). CONCLUSIONS The number of SFTS cases in Shandong Province increased overall. Geographic information system analysis coupled with spatial analysis illustrated regions with SFTS clusters. Our results provide a sound evidence base for future prevention and control programs of SFTS such as allocation of the health resources, surveillance in high-risk regions, health education, improvement of diagnosis and so on.
Collapse
Affiliation(s)
- Yao Wang
- grid.27255.370000 0004 1761 1174Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| | - Bo Pang
- grid.512751.50000 0004 1791 5397Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, 250014 China
| | - Wei Ma
- grid.27255.370000 0004 1761 1174Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| | - Zengqiang Kou
- grid.512751.50000 0004 1791 5397Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, 250014 China
| | - Hongling Wen
- grid.27255.370000 0004 1761 1174Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| |
Collapse
|
22
|
Wang Y, Pang B, Ma W, Kou Z, Wen H. Analysis of the spatial-temporal components driving transmission of the severe fever with thrombocytopenia syndrome in Shandong Province, China, 2016-2018. Transbound Emerg Dis 2022; 69:3761-3770. [PMID: 36265799 DOI: 10.1111/tbed.14745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 09/22/2022] [Accepted: 10/10/2022] [Indexed: 02/04/2023]
Abstract
Existing models about the spatial-temporal distribution of the severe fever with thrombocytopenia syndrome (SFTS) entirely concentrate on aggregation, which provides limited knowledge to develop effective measures to control the epidemic of SFTS. This study aimed to identify the main spatial-temporal components and heterogeneity in different regions in Shandong Province, China. We applied the spatial-temporal multicomponent model to detect the spatial-temporal component values. A total of 2814 cases were reported from 2016 to 2018 in Shandong Province. The prevalence rate was 0.627 per 100,000, with an overall case fatality rate of 8.99%. SFTS cases were mostly clustered in central and eastern regions of Shandong Province. The total effect values of the autoregressive component, the spatiotemporal component and the endemic component were 0.586, 0.244 and 0.084, respectively, which demonstrated that the autoregressive component was the main factor driving the incidence of SFTS, followed by the spatiotemporal component. Gross domestic product per capita and weekly mean atmospheric pressure contributed to the incidence of SFTS with inverse effects. Obvious heterogeneity across regions for the autoregressive component and the spatiotemporal component was identified. In conclusion, the autoregressive and spatiotemporal components play a key role in driving the transmission of SFTS in Shandong Province. Based on the main component values, targeted measures should be formulated to control SFTS epidemics in different regions.
Collapse
Affiliation(s)
- Yao Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bo Pang
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Wei Ma
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zengqiang Kou
- Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Hongling Wen
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| |
Collapse
|
23
|
Zhang Y, Yao M, Guo X, Han S, Zhang S, Zhang J, Jiang X, Wang J, Fang M, Wang S, Pang B, Liu X, Kou Z, Jiang X. Humoral immunity and transcriptome differences of COVID-19 inactivated vacciane and protein subunit vaccine as third booster dose in human. Front Immunol 2022; 13:1027180. [PMID: 36341453 PMCID: PMC9634958 DOI: 10.3389/fimmu.2022.1027180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/11/2022] [Indexed: 11/25/2022] Open
Abstract
Under the background of the severe human health and world economic burden caused by COVID-19, the attenuation of vaccine protection efficacy, and the prevalence and immune escape of emerging variants of concern (VOCs), the third dose of booster immunization has been put on the agenda. Systems biology approaches can help us gain new perspectives on the characterization of immune responses and the identification of factors underlying vaccine-induced immune efficacy. We analyzed the antibody signature and transcriptional responses of participants vaccinated with COVID-19 inactivated vaccine and protein subunit vaccine as a third booster dose. The results from the antibody indicated that the third booster dose was effective, and that heterologous vaccination with the protein subunit vaccine as a booster dose induced stronger humoral immune responses than the homologous vaccination with inactivated vaccine, and might be more effective against VOCs. In transcriptomic analysis, protein subunit vaccine induced more differentially expressed genes that were significantly associated with many important innate immune pathways. Both the homologous and heterologous boosters could increase the effectiveness against COVID-19, and compared with the inactivated vaccine, the protein subunit vaccine, mediated a stronger humoral immune response and had a more significant correlation with the innate immune function module, which provided certain data support for the third booster immunization strategy.
Collapse
Affiliation(s)
- Yuwei Zhang
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Mingxiao Yao
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xingyu Guo
- School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Shanshan Han
- School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Shu Zhang
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Jinzhong Zhang
- Institute of Immunization and Prevention, Liaocheng Center for Disease Control and Prevention, Liaocheng, Shandong, China
| | - Xiangkun Jiang
- Institute of Immunization and Prevention, Liaocheng Center for Disease Control and Prevention, Liaocheng, Shandong, China
| | - Jianxing Wang
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Ming Fang
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Shuang Wang
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Bo Pang
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xiaolin Liu
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Zengqiang Kou
- Infectious Disease Prevention and Control Section, Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
- *Correspondence: Zengqiang Kou, ; Xiaolin Jiang,
| | - Xiaolin Jiang
- School of Public Health and Health Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Provincial Center for Disease Control and Prevention, Jinan, China
- *Correspondence: Zengqiang Kou, ; Xiaolin Jiang,
| |
Collapse
|
24
|
Zhang X, Tian X, Pang B, Wang Z, Zhai W, Jiang X, Kou Z, Ding S, Wang X. Epidemiological Characteristics of Human Rabies - Shandong Province, China, 2010-2020. China CDC Wkly 2022; 4:793-797. [PMID: 36284606 PMCID: PMC9547725 DOI: 10.46234/ccdcw2022.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 02/18/2022] [Indexed: 11/08/2022] Open
Abstract
Introduction Rabies is a viral zoonotic disease that causes progressive and fatal inflammation in the brain. Rabies has caused more than 5,000 human deaths in Shandong Province since 1955. This study aimed to analyze the epidemiological characteristics of human rabies in Shandong Province from 2010 to 2020 and to provide a scientific basis for policy changes. Methods The data of reported human rabies cases from 2010 to 2020 were obtained from China's National Notifiable Disease Reporting System, and data related to exposure and post-exposure prophylaxis (PEP) of the cases were acquired through case investigation. Results A total of 414 human rabies cases were reported in Shandong Province from 2010 to 2020. Out of the 414 total cases, 87.20% were primarily farmers; 83.10% were over 40 years old. 70.29% (265/377) belonged to category Ⅲ exposure; and 96.67% (377/390) were exposed to the virus through infected dogs. The vaccine inoculation rate of these cases after exposure was only 8.85%; 1.03% (4/390) had been vaccinated with rabies immunoglobulin, developing the disease 11 to 13 days after category Ⅲ exposure. Conclusions Dogs were still the primary animal hosts. Most rabies patients died due to no or inadequate post-exposure prophylaxis. Vaccine inoculation rates for dogs should reach the target of 70% as soon as possible. Health departments should improve the accessibility and quality of PEP; and improve the health literacy of the elderly in rural areas.
Collapse
Affiliation(s)
- Xiaomei Zhang
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xueying Tian
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Bo Pang
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Zhiqiang Wang
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Wenji Zhai
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xiaolin Jiang
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Zengqiang Kou
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China,Zengqiang Kou,
| | - Shujun Ding
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China,Shujun Ding,
| | - Xianjun Wang
- Shandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Department of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| |
Collapse
|
25
|
Zhang Y, Guo X, Li C, Kou Z, Lin L, Yao M, Pang B, Zhang X, Duan Q, Tian X, Xing Y, Jiang X. Transcriptome Analysis of Peripheral Blood Mononuclear Cells in SARS-CoV-2 Naïve and Recovered Individuals Vaccinated With Inactivated Vaccine. Front Cell Infect Microbiol 2022; 11:821828. [PMID: 35186784 PMCID: PMC8851474 DOI: 10.3389/fcimb.2021.821828] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 12/30/2021] [Indexed: 12/13/2022] Open
Abstract
The urgent approval of the use of the inactivated COVID-19 vaccine is essential to reduce the threat and burden of the epidemic on global public health, however, our current understanding of the host immune response to inactivated vaccine remains limited. Herein, we performed serum IgG antibody detection and transcriptomics analysis on 20 SARS-CoV-2 naïve individuals who received multiple doses of inactivated vaccine and 5 SARS-CoV-2 recovered individuals who received single dose of inactivated vaccine. Our research revealed the important role of many innate immune pathways after vaccination, identified a significant correlation with the third dose of booster vaccine and proteasome-related genes, and found that SARS-CoV-2 recovered individuals can produces a strong immune response to a single dose of inactivated vaccine. These results help us understand the reaction mechanism of the host's molecular immune system to the inactivated vaccine, and provide a basis for the choice of vaccination strategy.
Collapse
Affiliation(s)
- Yuwei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xingyu Guo
- Infectious Disease Prevention and Control Section, School of Public Health and Health Management, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Cunbao Li
- Infectious Disease Prevention and Control Section, Lanshan Center for Disease Control and Prevention, Linyi, China
| | - Zengqiang Kou
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Lanfang Lin
- Infectious Disease Prevention and Control Section, Lanshan Center for Disease Control and Prevention, Linyi, China
| | - Mingxiao Yao
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Bo Pang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xiaomei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Qing Duan
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xueying Tian
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yufang Xing
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xiaolin Jiang
- Ministry of Research and Education, Shandong Center for Disease Control and Prevention, Jinan, China
| |
Collapse
|
26
|
Zhang C, Kou Z, Li R, Ji F, Lin X, Xu A, Song Y, Tao Z. Genomic diversity of human papillomavirus type 6 from patients with condyloma acuminatum in Eastern China. Infect Genet Evol 2021; 96:105146. [PMID: 34800713 DOI: 10.1016/j.meegid.2021.105146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/12/2021] [Accepted: 11/15/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE Human papillomavirus type 6 (HPV6) is the major etiological agent of anogenital warts both men and women. However, there is limited data on its genomic characterization in mainland China. The aim of this study was to understand the complete genomic diversity of HPV6 from patients with condyloma acuminatum (CA) and to explore the prevalence of different variant lineages/sublineages in eastern China. METHODS CA samples were collected in 3 hospitals in Shandong Province, China from January 2020 to March 2021. DNA extraction, PCR amplification, Sanger sequencing and sequence assembly were performed on HPV6-positive samples. The complete genomes obtained in this study were analyzed phylogenetically with global HPV6 sequences in GenBank database using MEGA 11. RESULTS A total of 55 complete genomic sequences of HPV6 were obtained in this study. They were classified as HPV6 variant lineage A (n = 20), sublineage B1 (n = 34) and sublineage B3 (n = 1) by phylogenetic analysis. Sequence alignment showed E1, E5A, E5B, L1, L2, LCR were relatively highly variable regions for sublineage B1 whereas E1, E5A, L2 for lineage A. Both phylogenetic trees of lineage A and sublineage B1 composed of two main branches. Chinese sequences of lineage A segregated into the major branch while those in sublineage B1 belonged to both branches. Genomic divergence between sequences from China and other countries was 0.00% - 0.33% in lineage A and 0.00% - 0.40% in sublineage B1. CONCLUSIONS This is the first study on HPV variant lineages circulating in mainland China. The results revealed that lineage A and sublineage B1 were prevalent and they had different highly variable regions. Further surveillance is needed to understand the dynamic change of different variants in the population.
Collapse
Affiliation(s)
- Cui Zhang
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhuaxi Road, Jinan 250012, PR China
| | - Zengqiang Kou
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, No. 16992 Jingshi Road, Jinan 250014, PR China
| | - Renpeng Li
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, No. 16992 Jingshi Road, Jinan 250014, PR China
| | - Feng Ji
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, No. 16992 Jingshi Road, Jinan 250014, PR China
| | - Xiaojuan Lin
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, No. 16992 Jingshi Road, Jinan 250014, PR China
| | - Aiqiang Xu
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhuaxi Road, Jinan 250012, PR China; Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, No. 16992 Jingshi Road, Jinan 250014, PR China
| | - Yanyan Song
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhuaxi Road, Jinan 250012, PR China.
| | - Zexin Tao
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, No. 16992 Jingshi Road, Jinan 250014, PR China.
| |
Collapse
|
27
|
Huang S, Wang S, Li Y, Fang M, Kou Z, Chen B, Xu L, Bi Z, Xu H, Chi X, Bi Z. Prevalence and transmission of mobilized colistin resistance (mcr-1) gene positive Escherichia coli in healthy rural residents in Shandong province, China. Microbiol Res 2021; 253:126881. [PMID: 34592562 DOI: 10.1016/j.micres.2021.126881] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 09/06/2021] [Accepted: 09/24/2021] [Indexed: 11/25/2022]
Abstract
This study was conducted to explore the prevalence and transmission of mcr-1 Escherichia coli among healthy rural residents in Shandong, China, and to provide theoretical basis for the prevention and control of spread and treatment of multi-drug resistant Escherichia coli. A total of 218 healthy residents from 3 villages in Guan County, Shandong Province, China were included in this study, and their fecal samples were collected. Colistin-resistant Escherichia coli were selected, and their drug sensitivity and plasmids' transferability were measured. After analysis, some conclusions can be drawn. The colistin-resistant Escherichia coli, most strains of which are MDROs, is common and highly transmissible in healthy residents in rural areas in China. Interventions should be implemented to prevent the spread of colistin-resistant Escherichia coli through health education and tighter regulation of antibiotics.
Collapse
Affiliation(s)
- Shumei Huang
- School of Public Health, Shandong University, Jinan, 250012, China
| | - Shuang Wang
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Yan Li
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Ming Fang
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Zengqiang Kou
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Baoli Chen
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Liuchen Xu
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Zhenwang Bi
- The Affiliated Shandong Provincial Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250062, China
| | - Hao Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Medical School of Zhejiang University, Hang Zhou, 310003, China
| | - Xiaohui Chi
- Department of Public Health of Zhejiang University, Hang Zhou, 310058, China
| | - Zhenqiang Bi
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
| |
Collapse
|
28
|
Yu X, Zhang L, Fang M, Liang H, Zhang Q, Yin X, Kou Z, Yin W, Li Z, Zhang E, Ding S. Two Confirmed Patients of Anthrax - Binzhou City, Shandong Province, China, August 2021. China CDC Wkly 2021; 3:808-810. [PMID: 34594995 PMCID: PMC8477059 DOI: 10.46234/ccdcw2021.185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 08/24/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
- Xiaolin Yu
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Lifang Zhang
- Binzhou Center for Disease Control and Prevention, Binzhou, Shandong, China
| | - Ming Fang
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Hao Liang
- Shandong University, Jinan, Shandong, China
| | - Qi Zhang
- Shandong University, Jinan, Shandong, China
| | - Xiusheng Yin
- Binzhou Center for Disease Control and Prevention, Binzhou, Shandong, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Wenwu Yin
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhong Li
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Enmin Zhang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shujun Ding
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| |
Collapse
|
29
|
Yao M, Jiang F, Zhang Y, Li Y, Pang B, Liang H, Kou Z, Jiang X, Wen H, Xu Y. SARS-CoV-2 Variant of Concern 202 012/01 (B.1.1.7) in a traveller from the UK to China. J Travel Med 2021; 28:6162448. [PMID: 33693926 PMCID: PMC7989411 DOI: 10.1093/jtm/taab032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 02/17/2021] [Accepted: 02/24/2021] [Indexed: 01/02/2023]
Abstract
We report the complete genome of SARS-CoV-2 VOC 202012/01 in a traveler from the United Kingdom to China, representing the first such case in North China. This study highlights that intensive genomic sequencing enables early identification and rapid characterization of the SARS-CoV-2 importing to China.
Collapse
Affiliation(s)
- Mingxiao Yao
- Shandong Center for Disease Prevention and Control, Jinan, China
| | - Fachun Jiang
- Qingdao Center for Disease Prevention and Control, Qingdao, China
| | - Yuwei Zhang
- Shandong Center for Disease Prevention and Control, Jinan, China
| | - Yan Li
- Shandong Center for Disease Prevention and Control, Jinan, China
| | - Bo Pang
- Shandong Center for Disease Prevention and Control, Jinan, China
| | - Hao Liang
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zengqiang Kou
- Shandong Center for Disease Prevention and Control, Jinan, China
| | - Xiaolin Jiang
- Shandong Center for Disease Prevention and Control, Jinan, China
| | - Hongling Wen
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yifei Xu
- Department of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| |
Collapse
|
30
|
Yuan Q, Kou Z, Jiang F, Li Z, Zhang L, Liu H, Zhao X, Kang D, Gao R, Lei J. A Nosocomial COVID-19 Outbreak Initiated by an Infected Dockworker at Qingdao City Port - Shandong Province, China, October, 2020. China CDC Wkly 2020; 2:838-840. [PMID: 34594778 PMCID: PMC8393136 DOI: 10.46234/ccdcw2020.224] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 10/22/2020] [Indexed: 11/14/2022] Open
Affiliation(s)
- Qun Yuan
- Shandong provincial Center for Disease Control and Prevention, Jinan, Shangdong, China
| | - Zengqiang Kou
- Shandong provincial Center for Disease Control and Prevention, Jinan, Shangdong, China
| | - Fachun Jiang
- Qingdao prefecture Center for Disease Control and Prevention, Qingdao, Shangdong, China
| | - Zhongjie Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijie Zhang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huihui Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiang Zhao
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Dianmin Kang
- Shandong provincial Center for Disease Control and Prevention, Jinan, Shangdong, China
| | - Ruqin Gao
- Qingdao prefecture Center for Disease Control and Prevention, Qingdao, Shangdong, China
| | - Jie Lei
- Shandong provincial Center for Disease Control and Prevention, Jinan, Shangdong, China
| |
Collapse
|
31
|
Kou Z, Jia J, Liu X, Luo T, Xin X, Gong J, Zhang J, Sun D, Jiang F, Gao R. Epidemiological characteristics and spatial-temporal clusters of hand, foot, and mouth disease in Qingdao City, China, 2013-2018. PLoS One 2020; 15:e0233914. [PMID: 32502174 PMCID: PMC7274432 DOI: 10.1371/journal.pone.0233914] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 05/14/2020] [Indexed: 12/05/2022] Open
Abstract
Background Hand, foot, and mouth disease (HFMD) has become one of the most important infectious diseases recent years. Qingdao City has suffered from serious HFMD epidemic. This study aimed to describe epidemiological characteristics and investigate spatial-temporal distribution at town level in Qingdao City. Method The surveillance data of HFMD during 2013–2018 were collected from the National Notifiable Disease Surveillance System. The global Moran’s I statistic was used to detect the spatial autocorrelation of HFMD cases by ArcGis 10.0 software. Purely spatial and spatial-temporal analysis was used to detect epidemic clusters by SatScanTM v9.6 software. Results The annual average incidence of HFMD cases in Qingdao City from 2013 to 2018 was 123.16 per 100000, while the incidence rate of children≤5years old was 2879.80 per 100000. The majority (88.97%) of HFMD cases were aged within 0–5 years old and the males were 60.20%. Other enterovirus (EV), enteriovirus 71(EV71), and Coxsackievirus A16 (CA16) accounted for 48.75%, 30.91% and 20.34%. The seasonal peak was between May and October. HFMD had positive spatial autocorrelation at town level with global Moran’s I from 0.19 to 0.31(P<0.001). Spatial-temporal cluster analysis detected six most likely clusters and three secondary clusters from 2013 to 2018. The most likely cluster was located in urban and urban-rural fringe areas. Conclusions Urban and urban-rural fringe areas were the major locations of the clusters with other EV as the dominant pathogen between May and October. The findings suggested that the prevention and control of HFMD in Qingdao City should be focus on these high-risk periods and locations which had important public health significance for the allocation of public health resources.
Collapse
Affiliation(s)
- Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Jing Jia
- Department of Acute Infectious Disease, Qingdao Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, Shandong, China
| | - Xiaohui Liu
- Department of Acute Infectious Disease, Qingdao Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, Shandong, China
| | - Tingting Luo
- Department of Public Health, Qingdao University Medical College, Qingdao, Shandong, China
| | - Xueling Xin
- Department of Acute Infectious Disease, Qingdao Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, Shandong, China
| | - Jinling Gong
- Department of Acute Infectious Disease, Qingdao Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, Shandong, China
| | - Jingfei Zhang
- Department of Acute Infectious Disease, Qingdao Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, Shandong, China
| | - Dapeng Sun
- Shandong Center for Disease Control and Prevention, Jinan, China
- * E-mail: (DS); (FJ); (RG)
| | - Fachun Jiang
- Department of Acute Infectious Disease, Qingdao Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, Shandong, China
- * E-mail: (DS); (FJ); (RG)
| | - Ruqin Gao
- Department of Acute Infectious Disease, Qingdao Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, Shandong, China
- * E-mail: (DS); (FJ); (RG)
| |
Collapse
|
32
|
Wang S, Li H, Kou Z, Ren F, Jin Y, Yang L, Dong X, Yang M, Zhao J, Liu H, Dong N, Jia L, Chen X, Zhou Y, Qiu S, Hao R, Song H. Highly sensitive and specific detection of hepatitis B virus DNA and drug resistance mutations utilizing the PCR-based CRISPR-Cas13a system. Clin Microbiol Infect 2020; 27:443-450. [PMID: 32360447 DOI: 10.1016/j.cmi.2020.04.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 04/17/2020] [Accepted: 04/19/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Undetectable or low-level hepatitis B virus (HBV) DNA and drug resistance mutations in patients may increase the risk of HBV transmission or cause active viral replication and other clinical problems. Here, we established a highly sensitive and practical method for HBV and drug resistance detection using a polymerase chain reaction (PCR) -based CRISPR-Cas13a detection system (referred to as PCR-CRISPR) and evaluated its detection capability using clinical samples. METHODS Specific CRISPR RNAs (crRNAs) are designed for HBV DNA detection and YMDD (tyrosine-methionine-aspartate-aspartate) variant identification. The HBV DNA was detected in 312 serum samples for HBV diagnosis using quantification PCR (qPCR) and PCR-CRISPR. Additionally, 424 serum samples for YMDD testing were detected by qPCR, direct sequencing, and our assay. RESULTS Using PCR-CRISPR, one copy per test of HBV DNA was detected with HBV-1 crRNA in 15 min after PCR amplification. Consistent results with qPCR were observed for 302 samples, while the remaining 10 samples with low-level HBV DNA were detectable by PCR-CRISPR and droplet digital PCR but not by qPCR. PCR-CRISPR diagnosed all 412 drug-resistant samples detected by the YMDD detection qPCR kit and direct sequencing, as well as the other 12 drug-resistant samples with low-level HBV DNA undetectable by qPCR and direct sequencing. CONCLUSIONS We developed a novel PCR-CRISPR method for highly sensitive and specific detection of HBV DNA and drug resistance mutations. One copy per test for HBV DNA and YMDD drug resistance mutations could be detected. This method has wide application prospects for the early detection of HBV infection, drug resistance monitoring and treatment guidance.
Collapse
Affiliation(s)
- S Wang
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - H Li
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Z Kou
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - F Ren
- Beijing Artificial Liver Treatment and Training Centre, Beijing You An Hospital, Affiliated Hospital of Capital Medical University, Beijing, China
| | - Y Jin
- Beijing Artificial Liver Treatment and Training Centre, Beijing You An Hospital, Affiliated Hospital of Capital Medical University, Beijing, China
| | - L Yang
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - X Dong
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - M Yang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - J Zhao
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - H Liu
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - N Dong
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - L Jia
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - X Chen
- Beijing Artificial Liver Treatment and Training Centre, Beijing You An Hospital, Affiliated Hospital of Capital Medical University, Beijing, China
| | - Y Zhou
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; State Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - S Qiu
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China.
| | - R Hao
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China.
| | - H Song
- Graduate School of the Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China.
| |
Collapse
|
33
|
Wang S, Xu L, Chi X, Li Y, Kou Z, Hou P, Xie H, Bi Z, Zheng B. Emergence of NDM-1- and CTX-M-3-Producing Raoultella ornithinolytica in Human Gut Microbiota. Front Microbiol 2019; 10:2678. [PMID: 31824461 PMCID: PMC6883284 DOI: 10.3389/fmicb.2019.02678] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 11/05/2019] [Indexed: 12/21/2022] Open
Abstract
Raoultella ornithinolytica is an opportunistic pathogen of the Enterobacteriaceae family and has been implicated in nosocomial infections in recent years. The aim of this study was to characterize a carbapenemase-producing R. ornithinolytica isolate and three extended-spectrum β-lactamase (ESBL)-producing R. ornithinolytica isolates from stool samples of adults in a rural area of Shandong Province, China. The species were identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and 16S rDNA sequence analysis. Antimicrobial susceptibility test showed that all four isolates were multidrug-resistant (MDR). The whole genome sequence (WGS) of these isolates was determined using an Illumina HiSeq platform, which revealed MDR-related genes. The S1 nuclease-pulsed-field gel electrophoresis (S1-PFGE) was used to characterize the plasmids carried by the R. ornithinolytica isolates. The blaNDM-1 and blaCTX-M-3 genes were probed using Southern blotting, which confirmed the location of both genes on the same plasmid with molecular weight of 336.5–398.4 kb. The transferability of blaNDM-1 and blaCTX-M was also confirmed by conjugation assays. Finally, BLAST analysis of both genes showed that mobile genetic elements were associated with the spread of drug resistance genes. Taken together, we report the presence of conjugative blaNDM-1 and blaCTX-M plasmids in R. ornithinolytica isolates from healthy humans, which indicate the possibility of inter-species transfer of drug resistance genes. To the best of our knowledge, this is the first study to isolate and characterize carbapenemase-producing R. ornithinolytica and ESBL-producing R. ornithinolytica isolates from healthy human hosts.
Collapse
Affiliation(s)
- Shuang Wang
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Liuchen Xu
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xiaohui Chi
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Environment and Health, School of Public Health, Shandong University, Jinan, China
| | - Yan Li
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Zengqiang Kou
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Peibin Hou
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Hengjie Xie
- Department of Supervise Sampling, Shandong Institute for Food and Drug Control, Jinan, China
| | - Zhenwang Bi
- Bacterial Infection Disease Control of Institute, Shandong Center for Disease Control and Prevention, Jinan, China.,Shandong Academy of Clinical Medicine, Shandong Provincial Hospital, Jinan, China
| | - Beiwen Zheng
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| |
Collapse
|
34
|
Chen R, Kou Z, Xu L, Cao J, Liu Z, Wen X, Wang Z, Wen H. Analysis of epidemiological characteristics of four natural-focal diseases in Shandong Province, China in 2009-2017: A descriptive analysis. PLoS One 2019; 14:e0221677. [PMID: 31454372 PMCID: PMC6711524 DOI: 10.1371/journal.pone.0221677] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 08/13/2019] [Indexed: 01/09/2023] Open
Abstract
Background Natural-focal diseases are serious diseases that endanger human health. They threaten about 100 million people in Shandong Province, and cause illness in thousands of people each year. However, information on the epidemiological characteristics of natural-focal diseases in Shandong Province has been limited. The purpose of the study was to describe and analyze the epidemiological characteristics of natural-focal diseases in Shandong Province, 2009–2017. Methods We describe the incidence and distribution of four natural-focal diseases in Shandong Province using surveillance data from 2009–2017. Results From 2009–2017, 11123 cases of four natural-focal diseases including 257 deaths were reported in Shandong Province, China. The four natural-focal diseases were severe fever with thrombocytopenia syndrome (SFTS), human granulocytic anaplasmosis (HGA), typhus, and scrub typhus. The high-risk groups of the four diseases were farmers and the elderly. The incidence rate of scrub typhus was significantly higher in females. However, this difference was not seen in the other three diseases. The four diseases were mainly clustered in the middle-southern part of Shandong Province and the Shandong Peninsula. The annual incidence of SFTS and scrub typhus increased, typhus was relatively stable, and HGA declined. However, the range of SFTS expanded, while HGA shrunk, and typhus and scrub typhus were unchanged. The epidemic period of SFTS and HGA was from May to October, typhus was from October to November, and scrub typhus was from September to November. The fatality rates of SFTS, typhus, scrub typhus, and HGA were 9.19%, 0%, 0.01%, and 2.24%, respectively. Conclusions Our study described and analyzed the prevalence of natural-focal diseases in Shandong Province, and confirmed that age was closely related to the SFTS fatality rate. This study may help to improve the understanding of the prevalence of natural-focal diseases in Shandong Province in recent years and to better develop accurate prevention and control strategies for natural-focal diseases.
Collapse
Affiliation(s)
- Rui Chen
- Department of Microbiological Laboratory Technology, School of Public Health, Shandong University, Key laboratory for the prevention and control of infectious diseases (key laboratory of China’s “13th Five-Year”, Shandong University), Jinan, Shandong Province, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, Shandong Province, China
| | - Liuchen Xu
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, Shandong Province, China
| | - Jie Cao
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, Shandong Province, China
| | - Ziwei Liu
- Department of Microbiological Laboratory Technology, School of Public Health, Shandong University, Key laboratory for the prevention and control of infectious diseases (key laboratory of China’s “13th Five-Year”, Shandong University), Jinan, Shandong Province, China
| | - Xiaojing Wen
- Department of Microbiological Laboratory Technology, School of Public Health, Shandong University, Key laboratory for the prevention and control of infectious diseases (key laboratory of China’s “13th Five-Year”, Shandong University), Jinan, Shandong Province, China
| | - Zhiyu Wang
- Department of Microbiological Laboratory Technology, School of Public Health, Shandong University, Key laboratory for the prevention and control of infectious diseases (key laboratory of China’s “13th Five-Year”, Shandong University), Jinan, Shandong Province, China
| | - Hongling Wen
- Department of Microbiological Laboratory Technology, School of Public Health, Shandong University, Key laboratory for the prevention and control of infectious diseases (key laboratory of China’s “13th Five-Year”, Shandong University), Jinan, Shandong Province, China
- * E-mail:
| |
Collapse
|
35
|
Liang J, Kou Z, Qin S, Chen Y, Li Z, Li C, Duan R, Hao H, Zha T, Gu W, Huang Y, Xiao M, Jing H, Wang X. Novel Yersinia enterocolitica Prophages and a Comparative Analysis of Genomic Diversity. Front Microbiol 2019; 10:1184. [PMID: 31191498 PMCID: PMC6548840 DOI: 10.3389/fmicb.2019.01184] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 05/09/2019] [Indexed: 12/18/2022] Open
Abstract
Yersinia enterocolitica is a major agent of foodborne diseases worldwide. Prophage plays an important role in the genetic evolution of the bacterial genome. Little is known about the genetic information about prophages in the genome of Y. enterocolitica, and no pathogenic Y. enterocolitica prophages have been described. In this study, we induced and described the genomes of six prophages from pathogenic Y. enterocolitica for the first time. Phylogenetic analysis based on whole genome sequencing revealed that these novel Yersinia phages are genetically distinct from the previously reported phages, showing considerable genetic diversity. Interestingly, the prophages induced from O:3 and O:9 Y. enterocolitica showed different genomic sequences and morphology but highly conserved among the same serotype strains, which classified into two diverse clusters. The three long-tailed Myoviridae prophages induced from serotype O:3 Y. enterocolitica were highly conserved, shared ≥99.99% identity and forming genotypic cluster A; the three Podoviridae prophages induced from the serotype O:9 strains formed cluster B, also shared more than 99.90% identity with one another. Cluster A was most closely related to O:5 non-pathogenic Y. enterocolitica prophage PY54 (61.72% identity). The genetic polymorphism of these two kinds of prophages and highly conserved among the same serotype strains, suggested a possible shared evolutionary past for these phages: originated from distinct ancestors, and entered pathogenic Y. enterocolitica as extrachromosomal genetic components during evolution when facing selective pressure. These results are critically important for further understanding of phage roles in host physiology and the pathology of disease.
Collapse
Affiliation(s)
- Junrong Liang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Zengqiang Kou
- Shandong Provincial Centre for Disease Control and Prevention, Jinan, China
| | - Shuai Qin
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Yuhuang Chen
- Shenzhen Nanshan Maternity and Child Heath Care Hospital, Shenzhen, China
| | - Zhenpeng Li
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Chuchu Li
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.,Department of Pathogenic Biology, School of Medical Science, Jiangsu University, Zhenjiang, China
| | - Ran Duan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Huijing Hao
- Chang Ping Women and Children Health Care Hospital, Beijing, China
| | - Tao Zha
- Wuhu Municipal Centre for Disease Control and Prevention, Wuhu, China
| | - Wenpeng Gu
- Yunnan Provincial Centre for Disease Control and Prevention, Kunming, China
| | - Yuanming Huang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Meng Xiao
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Huaiqi Jing
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Xin Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases - Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| |
Collapse
|
36
|
|
37
|
Sun X, Samba TT, Yao J, Yin W, Xiao L, Liu F, Liu X, Zhou J, Kou Z, Fan H, Zhang H, Williams A, Lansana PM, Yin Z. Impact of the Ebola outbreak on routine immunization in western area, Sierra Leone - a field survey from an Ebola epidemic area. BMC Public Health 2017; 17:363. [PMID: 28446173 PMCID: PMC5406892 DOI: 10.1186/s12889-017-4242-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 04/06/2017] [Indexed: 11/13/2022] Open
Abstract
Background Since March 2014, the Ebola Virus Disease (EVD) outbreak in West Africa disrupted health care systems - especially in Guinea, Liberia and Sierra Leone – with a consequential stress on the area’s routine immunization programs. To address perceived decreased vaccination coverage, Sierra Leone conducted a catch-up vaccination campaign during 24–27 April 2015. We conducted a vaccination coverage survey and report coverage estimates surrounding the time of the EVD outbreak and the catch-up campaign. Methods We selected 3 villages from each of 3 communities and obtained dates of birth and dates of vaccination with measles vaccine (MV) and the 3rd dose of Pentavalent vaccine (Pentavalent3) of all children under 4 years of age in the 9 selected villages. Vaccination data were obtained from parent-held health cards. We calculated the children’s MV and Pentavalent3 coverage rates at 3 time points, 1 August 2014, 1 April 2015, and 1 May 2015, representing coverage rates before the EVD outbreak, during the EVD outbreak, and after the Maternal and Child Health Week (MCHW) catch-up campaign. Results The final sample size was 168 children. MV coverage among age-eligible children was 71.3% (95% confidence interval [CI]: 62.1% - 80.4%) and 45.7% (95% CI: 29.2% - 62.2%) before and during the outbreak of EVD, respectively, and was 56.8% (95% CI: 40.8% - 72.7%) after the campaign. Pentavalent3 coverage among age-eligible children was 79.8% (95% CI: 72.6% - 87.0%) and 40.0% (95% CI: 22.5% - 57.5%) before and during the outbreak of EVD, and was 56.4% (95% CI: 39.1% - 73.4%) after the campaign. Conclusions Coverage levels of MV and Pentavalent3 were low before the EVD outbreak and decreased further during the outbreak. Although the MCHW catch-up campaign increased coverage levels, coverage remained below pre-outbreak levels. High-quality supplementary immunization activities should be conducted and routine immunization should be strengthened to address gaps in immunity among children in this EVD-affected area.
Collapse
Affiliation(s)
- Xiaojin Sun
- National Immunization Programme, Chinese Center for Disease Control and Prevention, No. 27, Nanwei Road, Beijing, 100050, China
| | - T T Samba
- Western Area District Health Management Team, Freetown, Sierra Leone
| | - Jianyi Yao
- Emergency Response Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenwu Yin
- Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Xiao
- Jingzhou Prefecture Center for Disease Control and Prevention, Jingzhou, China
| | - Fuqiang Liu
- Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Xiaoqiang Liu
- Yunnan Provincial Center for Disease Control and Prevention, Kunming, China
| | - Jikun Zhou
- Shijiazhuang Prefecture Center for Disease Control and Prevention, Shijiazhuang, China
| | - Zengqiang Kou
- Shandong Provincial Center for Disease Control and Prevention, Kunming, China
| | - Hongwei Fan
- Peking Union Medical College Hospital, Beijing, China
| | | | - Aqnes Williams
- Western Area District Health Management Team, Freetown, Sierra Leone
| | - Paul M Lansana
- Western Area District Health Management Team, Freetown, Sierra Leone
| | - Zundong Yin
- National Immunization Programme, Chinese Center for Disease Control and Prevention, No. 27, Nanwei Road, Beijing, 100050, China.
| |
Collapse
|
38
|
Zheng L, Bi Z, Kou Z, Yang H, Zhang L, Zhao Z. Genotype diversity and distribution of Orientia tsutsugamushi in scrub typhus patients and rodents in Shandong, northern China. Infect Genet Evol 2015; 36:126-130. [PMID: 26371067 DOI: 10.1016/j.meegid.2015.09.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Revised: 08/13/2015] [Accepted: 09/10/2015] [Indexed: 11/18/2022]
Abstract
Orientia tsutsugamushi, the etiologic agent of scrub typhus, is transmitted to humans through the bites of infected chiggers. To identify the genotypes of O.tsutsugamushi and their geographical distribution in Shandong, 236 patient's samples and 1606 captured rodents were collected in major-endemic regions of Shandong Province from June 2013 to December 2014. Sequences were determined for the 56-kDa TSA gene, and the relationship between these sequences and those previously determined was assessed. Two genotypes out of 5 previously reported in Shandong were identified, i.e. Kawasaki-related and STA-07. The Kawasaki-related genotype was predominant (82.1% (23/28) in human and 50% (5/10) in rodents), with wide distribution through the endemic areas of Shandong Province. The STA-07 was confined to Tai'an, Linyi and Qingdao districts. The Fuji-related, Shimikoshi-related and Karp-related genotypes were not found, while identified in previous studies. For prevention and control of scrub typhus in Shandong, more attention should be paid to surveillance of Kawasaki-related and STA-07 genotypes.
Collapse
Affiliation(s)
- Li Zheng
- Department of Epidemiology, School of Public Health, Shandong University, 44 Wenhuaxi Road, Jinan 250012, China
| | - Zhenwang Bi
- Institute for Bacterial Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan 250012, China
| | - Zengqiang Kou
- Institute for Bacterial Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan 250012, China
| | - Hui Yang
- Department of Epidemiology, School of Public Health, Shandong University, 44 Wenhuaxi Road, Jinan 250012, China
| | - Luyan Zhang
- Department of Epidemiology, School of Public Health, Shandong University, 44 Wenhuaxi Road, Jinan 250012, China
| | - Zhongtang Zhao
- Department of Epidemiology, School of Public Health, Shandong University, 44 Wenhuaxi Road, Jinan 250012, China.
| |
Collapse
|
39
|
Zhang L, Bi Z, Kou Z, Yang H, Zhang A, Zhang S, Meng X, Zheng L, Zhang M, Yang H, Zhao Z. Scrub typhus caused by Orientia tsutsugamushi Kawasaki-related genotypes in Shandong Province, northern China. Infection, Genetics and Evolution 2015; 30:238-243. [DOI: 10.1016/j.meegid.2014.12.036] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Revised: 10/20/2014] [Accepted: 12/30/2014] [Indexed: 11/29/2022]
|
40
|
Liu W, Gao Z, Kou Z, Hu B, Sun X, Yan B, Zhang Q, Jiang W. [Epidemiological investigation of the first human case infected with Streptococcus suis in Shandong]. Zhonghua Liu Xing Bing Xue Za Zhi 2015; 36:192. [PMID: 25924244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
|
41
|
Liu Z, Fang M, Hu B, Bi Z, Kou Z, Ren Y, Chen B, Bi Z. [Molecular types of group A Streptococcus isolated from scarlet fever patients and asymptomatic carriers in Shandong province, 2013]. Zhonghua Liu Xing Bing Xue Za Zhi 2014; 35:1375-1378. [PMID: 25623458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
OBJECTIVE To describe the molecular characteristics of group A Streptococcus (GAS) isolated from patients and asymptomatic carriers of scarlet fever in Shandong province, 2013, and to explore the relationships between emm types and other molecular types. METHODS 72 strains of GAS were isolated from throat swabs of children with scarlet fever or asymptomatic carriers of GAS. All the strains were typed by emm typing, multilocus sequence typing (MLST), super-antigen (SAg) genes detections and pulsed-field gel electrophoreses (PFGE). RESULTS Among the 72 strains, emm1 (41.67%) and emm12 (56.94%) were the most common emm types. Two ST types were found, including ST28 (43.06%) and ST36 (56.94%). Additionally, emm1 was also found correlated to ST28, while emm12 was associated with ST36. Eight super-antigen genes were detected, including smeZ (100.00%), ssa (100.00%), speG (97.22%), speC (95.83%), speL (54.17%), speJ (41.67%), speA (38.89%) and speH (38.89%), while speK, speM, speL were not found (0%). Both speA and speJ genes were detected primarily in emm1 strains (all P < 0.05), while speH and speI genes were not detected in emm 1 strains (all P < 0.05). And emm12 strains were inclined to harbor speH and speL (all P < 0.05) but not speA or speJ (all P < 0.05). Twenty different genotypes were identified by PFGE. CONCLUSION All the emm types of GAS isolated from scarlet fever patients and asymptomatic carriers in Shandong province 2013 were mainly emm1 and emm12 and carrying speC, speG and smeZ, ssa. ST types mainly exsited in ST28 and ST36. In addition, there were correlations between emm types and super-antigen genes, ST types, PFGE types.
Collapse
Affiliation(s)
- Zhenyan Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan 250012, China
| | - Ming Fang
- Shandong Provincial Center for Disease Control and Prevention, Shandong Key Laboratory of Infectious Disease Prevention and Control, Institute of Preventive Medicine, Shandong University
| | - Bin Hu
- Shandong Provincial Center for Disease Control and Prevention, Shandong Key Laboratory of Infectious Disease Prevention and Control, Institute of Preventive Medicine, Shandong University
| | - Zhenwang Bi
- Shandong Provincial Center for Disease Control and Prevention, Shandong Key Laboratory of Infectious Disease Prevention and Control, Institute of Preventive Medicine, Shandong University
| | - Zengqiang Kou
- Shandong Provincial Center for Disease Control and Prevention, Shandong Key Laboratory of Infectious Disease Prevention and Control, Institute of Preventive Medicine, Shandong University
| | - Yanyan Ren
- Shandong Provincial Center for Disease Control and Prevention, Shandong Key Laboratory of Infectious Disease Prevention and Control, Institute of Preventive Medicine, Shandong University
| | - Baoli Chen
- Shandong Provincial Center for Disease Control and Prevention, Shandong Key Laboratory of Infectious Disease Prevention and Control, Institute of Preventive Medicine, Shandong University
| | - Zhenqiang Bi
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan 250012, China; Shandong Provincial Center for Disease Control and Prevention, Shandong Key Laboratory of Infectious Disease Prevention and Control, Institute of Preventive Medicine, Shandong University.
| |
Collapse
|
42
|
Zhang L, Zhao Z, Bi Z, Kou Z, Zhang M, Yang L, Zheng L. Risk factors associated with severe scrub typhus in Shandong, northern China. Int J Infect Dis 2014; 29:203-7. [DOI: 10.1016/j.ijid.2014.09.019] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2014] [Revised: 09/17/2014] [Accepted: 09/25/2014] [Indexed: 11/17/2022] Open
|
43
|
Yang L, Kou Z, Bi Z, Zhang L, Zheng L, Zhao Z. [Spatial and temporal characteristics of human brucellosis, from 2004 to 2012 in Shandong province]. Zhonghua Liu Xing Bing Xue Za Zhi 2014; 35:925-929. [PMID: 25376684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
OBJECTIVE To explore the spatial and temporal characteristics of human brucellosis in Shandong province and to provide scientific basis for the development of related regional public health strategies. METHODS 1 802 diagnosed cases of human brucellosis patients were selected based on the data that was collected by Diseases Reporting Information System between year 2004 and 2012 in Shandong province. Methods on spatial thematic mapping, spatial autocorrelation analysis, spatial clustering analysis, and temporal clustering analysis were applied to describe the temporal and spatial distribution on human brucellosis cases. RESULTS The incidence rate of human brucellosis increased from 0.038 2/100 000 (35 cases) to 0.620 5/100 000 (598 cases), with annual average incidence rate as 0.211 1/100 000 and the incidence was evidently increased. The value of M (0.375 3) showed that this disease was seasonal, with the epidemic months between March and June, accounting for 56.27% (1 014/1 802). The Global Moran's I index was 0.198 901 (P = 0.000 120), showing that there was a positive correlation between space and the incidence of brucellosis. The incidence rates in 2006, 2007, 2009 and 2012 and the space distribution appeared a positive correlation (P < 0.05) in Shandong province. The local Moran's I index showed that there were 8 "High-High" (HH) clustering areas, which were proved to have statistical significance (P < 0.05). Local indicators of spatial association (LISA) revealed that southwest and north districts of Shandong were highly clustered districts of brucellosis and the areas paralleled to the areas that having higher incidence rates. There were two spatial clustering areas in this study, one as the center of Juanchen with radiation radius at 33.83 km whose RR was 9.78 (P < 0.05) and the other was the center of Binchen with radiation radius at 62.78 km with RR as 4.99 (P < 0.05). All the 8 HH counties (districts) were included in the two cluster regions. CONCLUSION Incidence of human brucellosis showed an obvious increase in Shandong during year 2004-2012. Months with epidemics were between March and June. The incidence of brucellosis in counties (districts) was non-randomly distributed. A positive spatial correlation and the feature of clusters was noticed.
Collapse
Affiliation(s)
- Li Yang
- Department Epidemiology, School of Public Health, Shandong University, Jinan 250012, China
| | - Zengqiang Kou
- Institute of Bacterial Infectious Disease Control and Prevention, Shandong Provincial Center for Disease Control and Prevention
| | - Zhenwang Bi
- Institute of Bacterial Infectious Disease Control and Prevention, Shandong Provincial Center for Disease Control and Prevention
| | - Luyan Zhang
- Department Epidemiology, School of Public Health, Shandong University, Jinan 250012, China
| | - Li Zheng
- Department Epidemiology, School of Public Health, Shandong University, Jinan 250012, China
| | - Zhongtang Zhao
- Department Epidemiology, School of Public Health, Shandong University, Jinan 250012, China.
| |
Collapse
|
44
|
Liang J, Bi Z, Shi G, Xiao Y, Qiu H, Kou Z, Hu B, Jing H, Wang X. Two novel ail-positive biotype 1A strains of Yersinia enterocolitica isolated in China with unequal adhesion and invasion properties. Infect Genet Evol 2014; 27:83-8. [PMID: 25038297 DOI: 10.1016/j.meegid.2014.07.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Revised: 05/20/2014] [Accepted: 07/07/2014] [Indexed: 10/25/2022]
Abstract
Yersinia enterocolitica is an enteric pathogen having six biotypes: 1A, 1B, 2, 3, 4, and 5. Different bioserotypes have been associated with varying pathogenicity, and the strains of biotype 1A lack the virulence-associated pYV-bearing genes and were once considered to be avirulent. However, there is growing epidemiological, clinical, and experimental evidence to suggest some biotype 1A isolates are virulent and can cause gastrointestinal disease. Here, we describe two biotype 1A strains discovered from 3807 isolates that carry the ail (attachment and invasion locus) gene. The two strains showed unique PFGE patterns compared to all other isolates in the Chinese Y. enterocolitica isolate PFGE database. Strain SDWL-003 isolated from a sheep shared ail sequence identical to A1 pattern, and the foxA (ferrioxamine receptor) sequence was identical to the pathogenic F5 pattern, besides, the PFGE patterns of SDWL-003 was also cluster to pathogenic branch; however it does not attach to or invade Hep-2 cells. The ail sequence of strain 2006RAT isolated from a Microtus fortis showed several mutations compared to other published genomes, and therefore formed an entirely new pathogenic pattern. Though it clustered to non-pathogenic block with foxA sequence polymorphism analysis or PFGE assay, the strain 2006RAT showed adhesion properties. The data here bring new insights into the molecular genetics of Y. enterocolitica biotype 1A, show some isolates of 1A biotype gaining potential pathogenicity using the function of the virulence gene - ail, and indicate the lateral gene transfer of ail virulence genes proceeded between pathogenic and nonpathogenic Y. enterocolitica.
Collapse
Affiliation(s)
- Junrong Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 102206 Beijing, China
| | - Zhenqiang Bi
- Shandong Provincial Centre for Disease Control and Prevention, 650022 Jinan, China
| | - Guoxiang Shi
- Zhejiang Provincial Centre for Disease Control and Prevention, 450016 Hangzhou, China
| | - Yuchun Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 102206 Beijing, China
| | - Haiyan Qiu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 102206 Beijing, China
| | - Zengqiang Kou
- Shandong Provincial Centre for Disease Control and Prevention, 650022 Jinan, China
| | - Bin Hu
- Shandong Provincial Centre for Disease Control and Prevention, 650022 Jinan, China
| | - Huaiqi Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 102206 Beijing, China.
| | - Xin Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 102206 Beijing, China.
| |
Collapse
|
45
|
Zhang X, Wang Q, Bi Y, Kou Z, Zhou J, Cui Y, Yan Y, Zhou L, Tan Y, Yang H, Du Z, Han Y, Song Y, Zhang P, Zhou D, Yang R, Wang X. Kinetics of Memory B Cell and Plasma Cell Responses in the Mice Immunized with Plague Vaccines. Scand J Immunol 2014; 79:157-62. [DOI: 10.1111/sji.12146] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Accepted: 12/16/2013] [Indexed: 11/29/2022]
Affiliation(s)
- X. Zhang
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Q. Wang
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Y. Bi
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Z. Kou
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - J. Zhou
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Y. Cui
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Y. Yan
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - L. Zhou
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Y. Tan
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - H. Yang
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Z. Du
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Y. Han
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - Y. Song
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - P. Zhang
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - D. Zhou
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - R. Yang
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| | - X. Wang
- Laboratory of Analytical Microbiology; State Key Laboratory of Pathogen and Biosecurity; Beijing Institute of Microbiology and Epidemiology; Beijing China
| |
Collapse
|
46
|
Liu T, Bi Z, Wang X, Li Z, Ding S, Bi Z, Wang L, Pei Y, Song S, Zhang S, Wang J, Sun D, Pang B, Sun L, Jiang X, Lei J, Yuan Q, Kou Z, Yang B, Shu Y, Yang L, Li X, Lu K, Liu J, Zhang T, Xu A. One family cluster of avian influenza A(H7N9) virus infection in Shandong, China. BMC Infect Dis 2014; 14:98. [PMID: 24559386 PMCID: PMC3974040 DOI: 10.1186/1471-2334-14-98] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Accepted: 02/12/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The first case of human infection with avian influenza A (H7N9) virus was identified in March, 2013 and the new H7N9 virus infected 134 patients and killed 45 people in China as of September 30, 2013. Family clusters with confirmed or suspected the new H7N9 virus infection were previously reported, but the family cluster of H7N9 virus infection in Shandong Province was first reported. CASE PRESENTATION A 36-year-old man was admitted to Zaozhuang City Hospital with progressive respiratory distress and suspicion of impending acute respiratory distress syndrome on April 21. The chest radiography revealed bilateral ground-glass opacities and pulmonary lesions. The second case, the first case's 4 year old son, was admitted to the same hospital on April 28 with fever and multiple patchy shadows in the bilateral lungs. Both of the two cases were confirmed to infect with H7N9 virus by the results of real-time reverse transcriptase-polymerase-chain reaction (rRT-PCR), virus isolation and serum antibody titer. At the same time, one environment samples was detected positive for H7N9 virus in the living poultry market in Zaozhuang. The homologous analysis of the full genome sequence indicated that both viruses from the patients were almost genetically identical. The field epidemiology investigation showed that the two cases had no recognized exposure to poultry, but had the exposure to the environment. The second case had substantial unprotected close exposure to his ill father and developed symptoms seven days after his last contact with his father. After surgery, the index case and his son were discharged on May 16 and May 6, respectively. 11 close contacts of both patients were identified and tested negative both the throat swabs and the serum antibody. CONCLUSION The infection of the index case probably resulted from contact with environmentally contaminated material. For the son, the probable infection source was from the index case during unprotected exposure, but the possibility from the environment or other sources could not be completely ruled out.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Aiqiang Xu
- Shandong Provincial Center for Disease Control and Prevention; Shandong Provincial Key Laboratory of Infectious Diseases Control and Prevention, Academy of Preventive Medicine, Shandong University, Jinan 250014, Shandong, China.
| |
Collapse
|
47
|
Xiao D, You Y, Bi Z, Wang H, Zhang Y, Hu B, Song Y, Zhang H, Kou Z, Yan X, Zhang M, Jin L, Jiang X, Su P, Bi Z, Luo F, Zhang J. MALDI-TOF mass spectrometry-based identification of group A Streptococcus isolated from areas of the 2011 scarlet fever outbreak in china. Infection, Genetics and Evolution 2013; 14:320-6. [DOI: 10.1016/j.meegid.2012.12.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2012] [Revised: 11/28/2012] [Accepted: 12/10/2012] [Indexed: 11/29/2022]
|
48
|
Miao Y, Juhász C, Wu J, Tarabishy B, Lang Z, Behen ME, Kou Z, Ye Y, Chugani HT, Hu J. Clinical correlates of white matter blood flow perfusion changes in Sturge-Weber syndrome: a dynamic MR perfusion-weighted imaging study. AJNR Am J Neuroradiol 2011; 32:1280-5. [PMID: 21724573 DOI: 10.3174/ajnr.a2540] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND AND PURPOSE Low brain tissue perfusion due to abnormal venous drainage is thought to be a central mechanism of brain damage in SWS. Here, HR-PWI was used to quantify WM perfusion abnormalities and to correlate these with brain atrophy and clinical variables. MATERIALS AND METHODS Fourteen children (age range, 0.8-10.0 years) with unilateral SWS underwent MR imaging examinations, including HR-PWI. rCBV, rCBF, and MTT in the affected WM and in contralateral homotopic WM were measured. AI for each perfusion parameter was correlated with age, brain atrophy, and motor and seizure variables as well as IQ. RESULTS Increased perfusion was seen in the affected hemisphere in 5 children and decreased perfusion in 9 children. Brain atrophy was more severe in the low-perfusion group (P = .01) and was related to both CBF-AI and CBV-AI (r = -0.69, P = .007; r = -0.64, P = .014, respectively). Older children had lower CBV values on the affected side (r = -0.62, P = .02). Longer duration of epilepsy was related to lower CBF (more negative CBF-AI, r = -0.58, P = .03) and low CBV (r = -0.55, P = .04) on the affected side. Lower perfusion was associated with more frequent seizures (rCBF-AI: r = -0.56, P = .04; rCBV-AI: r = -0.63, P = .02). CONCLUSIONS Increased perfusion in the affected cerebral WM may indicate an early stage of SWS without severe brain atrophy. Decreased perfusion is associated with frequent seizures, long duration of epilepsy, and brain atrophy.
Collapse
Affiliation(s)
- Y Miao
- Department of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China
| | | | | | | | | | | | | | | | | | | |
Collapse
|
49
|
Qiu Y, Liu Y, Qi Z, Wang W, Kou Z, Zhang Q, Liu G, Liu T, Yang Y, Yang X, Xin Y, Li C, Cui B, Huang S, Liu H, Zeng L, Wang Z, Yang R, Wang H, Wang X. Comparison of Immunological Responses of Plague Vaccines F1 + rV270 and EV76 in Chinese-Origin Rhesus Macaque, Macaca mulatta. Scand J Immunol 2010; 72:425-33. [DOI: 10.1111/j.1365-3083.2010.02456.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
|
50
|
Affiliation(s)
- Xianjun Wang
- The Institute of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, People's Republic of China
| | - Shujun Ding
- The Institute of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, People's Republic of China
| | - Zhong Li
- The Institute of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, People's Republic of China
| | - Liansen Wang
- The Institute of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, People's Republic of China
| | - Zengqiang Kou
- The Institute of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, People's Republic of China
| | - Kaijun Feng
- The Institute of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, People's Republic of China
| | - Lijuan Wang
- The Institute of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, People's Republic of China
| | - Xianfu Wu
- Rabies Program/PRB, Centers for Disease Control and Prevention, USA
| | | |
Collapse
|