2.Epidemiological characteristics and serum antibody detection of a COVID-19 aggregated outbreak in vaccinated population.
Zhen Yong REN ; Hai Ying GONG ; Dan XIN ; Li ZHANG ; Shuang LI ; Xin ZHANG ; Meng CHEN ; Xing Huo PANG
Chinese Journal of Preventive Medicine 2023;57(5):728-731
An epidemiological investigation was conducted on a cluster epidemic of COVID-19 in the vaccinated population in Beijing in 2022, and serum samples were collected from 21 infected cases and 61 close contacts (including 20 cases with positive nucleic acid in the isolation observation period). The results of antibody detection showed that the IgM antibody of two infected persons was positive, and the IgG antibody positive rates of patients who were converted, not converted to positive and infected persons were 36.84% (7/19), 63.41% (26/41) and 71.43% (15/21), respectively. About 98.78% of patients had been vaccinated with the SARS-CoV-2 inactivated vaccine. The positive rate of IgG antibody in patients immunized with three doses of vaccine was 86.00% (43/50), which was higher than that in patients with one or two doses [16.12% (5/31)]. The antibody level of M (Q1, Q3) in patients immunized with three doses was 4.255 (2.303, 7.0375), which was higher than that in patients with one or two doses [0.500 (0.500, 0.500)] (all P values<0.001). The antibody level of patients who were vaccinated less than three months [7.335 (1.909, 7.858)] was higher than that of patients vaccinated more than three months after the last vaccination [2.125 (0.500, 4.418)] (P=0.007). The positive rate and level of IgG antibody in patients who were converted to positive after three doses were 77.78% (7/9) and 4.207 (2.216, 7.099), respectively, which were higher than those in patients who were converted after one or two doses [0 and 0.500 (0.500, 0.500)] (all P values<0.05).
Humans
;
COVID-19
;
SARS-CoV-2
;
Disease Outbreaks
;
COVID-19 Vaccines
;
Immunoglobulin G
;
Antibodies, Viral
3.Thinking about development of multi-channel surveillance and multi-dimensional early warning system of emerging respiratory communicable diseases.
Yu Hang MA ; Yi YIN ; Xin JIANG ; Xun Liang TONG ; Yan Ming LI ; Li Ping WANG ; Lu Zhao FENG ; Wei Zhong YANG ; Zhi Hang PENG
Chinese Journal of Epidemiology 2023;44(4):529-535
The world has paid a heavy price for the pandemic of the emerging respiratory communicable disease, so more concern about communicable disease surveillance and early warning has been aroused. This paper briefly reviews the establishment of the surveillance and early warning system of respiratory communicable diseases in China, discusses its future development and introduces the novel surveillance methods and early warning models for the purpose of establishment of a multi-channel surveillance and multi-dimensional early warning system of communicable diseases in the future and the improvement of the prevention and control of emerging respiratory communicable diseases in China.
Humans
;
Population Surveillance/methods*
;
Communicable Diseases/epidemiology*
;
Communicable Diseases, Emerging/prevention & control*
;
China/epidemiology*
;
Pandemics
;
Disease Outbreaks/prevention & control*
4.Epidemiological characteristics of norovirus acute gastroenteritis outbreaks and influencing factors in China, 2007-2021.
Qiao Yu TANG ; Xi Yu GAO ; Yang SONG ; Yu Tong ZHANG ; Lu RAN ; Zhao Rui CHANG ; Yan Ping ZHANG ; Feng Feng LIU
Chinese Journal of Epidemiology 2023;44(5):751-758
Objective: To analyze the epidemiological characteristics of norovirus-caused acute gastroenteritis outbreaks in China, identify the factors influencing the scale of outbreaks, and provide scientific evidences for early control of norovirus infection outbreaks. Methods: The descriptive epidemiological analysis approach was applied to analyze the incidence of national norovirus infection outbreaks by using the data from the Public Health Emergency Event Surveillance System in China from January 1, 2007 to December 31, 2021. The unconditional logistic regression model was applied to analyze the risk factors that affected the outbreaks' scale. Results: A total of 1 725 norovirus infection outbreaks were recorded in China from 2007 to 2021, with an upward trend in the number of the reported outbreaks. The southern provinces had their annual outbreak peaks from October to March; the northern provinces had two outbreak peaks from October to December and from March to June annually. The outbreaks occurred mainly in southeastern coastal provinces with a trend of gradual spread to central, northeastern and western provinces. The outbreaks mainly occurred in schools and childcare setting (1 539 cases, 89.22%), followed by enterprises and institutions (67 cases, 3.88%) and community households (55 cases, 3.19%). Human to human transmission was the main infection route (73.16%), and norovirus GⅡ genotype was the predominate pathogen causing the outbreaks (899 cases, 81.58%). The time interval between the onset of the primary case and the outbreak reporting M (Q1, Q3) was 3 (2, 6) days and the case number of the outbreak M (Q1, Q3) was 38 (28, 62). The timeliness of outbreak reporting was improved in recent years and the scale of the outbreaks showed a decreasing trend over the years, the differences in reporting timeliness and outbreak scale among different settings were significant (P<0.001). The factors that affected outbreaks' scale included the outbreak setting, transmission route, outbreak reporting timeliness and type of living areas (P<0.05). Conclusions: From 2007 to 2021, the number of the norovirus-caused acute gastroenteritis outbreaks increased in China and the more areas were affected. However, the outbreak scale showed a decreasing trend and the outbreak reporting timeliness was improved. It is important to further improve the surveillance sensitivity and reporting timeliness for the effective control of the outbreak scale.
Humans
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Child
;
Norovirus
;
Disease Outbreaks
;
China
;
Child Care
;
Gastroenteritis
5.Diagnosis and treatment of adult tumor patients with COVID-19.
Chinese Journal of Oncology 2023;45(3):191-202
After the first outbreak of corona virus disease 2019 (COVID-19) at the end of 2019, it has caused multiple rounds of transmission in many countries around the world. Cancer patients are mainly elderly people, and the immunosuppression state caused by the tumor itself and anti-tumor treatment, more accompanying underlying diseases, and more hospital environmental exposure leading to a higher incidence of COVID-19 infection. The proportion of severe cases after infection is high, and the mortality is high. Therefore, based on the domestic and foreign research and clinical practice, the Expert Committee of Geriatric Cancer Prevention and Treatment of Chinese Society of Clinical Oncology launched a discussion based on the characteristics of cancer patients, including the epidemiology, clinical manifestations, differential diagnosis, definition and risk factors of severe cases, diagnosis and treatment recommendations, recovery of anti-tumor treatment and vaccination recommendations. To provide the corresponding suggestions for the clinical diagnosis and treatment of such patients.
Humans
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Adult
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Aged
;
COVID-19/diagnosis*
;
Neoplasms/epidemiology*
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Incidence
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Disease Outbreaks
;
Diagnosis, Differential
;
COVID-19 Testing
6.Analysis on infection sources and transmission chains of three outbreaks caused by 2019-nCoV Omicron variant in Beijing, China.
Shuang Sheng WU ; Ying SUN ; Xiang Feng DOU ; Zhen Yong REN ; Jiao Jiao ZHANG ; Lei JIA ; Peng YANG ; Xing Huo PANG
Chinese Journal of Epidemiology 2023;44(3):373-378
Objective: To investigate the infection sources and the transmission chains of three outbreaks caused by 2019-nCoV Omicron variant possibly spread through cross-border logistics in Beijing. Methods: Epidemiological investigation and big data were used to identify the exposure points of the cases. Close contacts were traced from the exposure points, and the cases' and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: The Omicron variant causing 3 outbreaks in Beijing from January to April, 2022 belonged to BA.1, BA.1.1 and BA.2. The outbreaks lasted for 8, 12 and 8 days respectively, and 6, 42 and 32 cases infected with 2019-nCoV were reported respectively. International mail might be the infection source for 1 outbreak, and imported clothes might be the infection sources for another 2 outbreaks. The interval between the shipment start time of the imported goods and the infection time of the index case was 3-4 days. The mean incubation period (Q1, Q3) was 3 (2,4) days and the mean serial interval (Q1, Q3) was 3 (2,4)days. Conclusions: The 3 outbreaks highlighted the risk of infection by Omicron variant from international logistics-related imported goods at normal temperature. Omicron variant has stronger transmissibility, indicating that rapid epidemiological investigation and strict management are needed.
Humans
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Beijing
;
SARS-CoV-2
;
COVID-19
;
Disease Outbreaks
;
China/epidemiology*
7.Epidemiological characteristics of a 2019-nCoV outbreak caused by Omicron variant BF.7 in Shenzhen.
Yan Peng CHENG ; Dong Feng KONG ; Jia ZHANG ; Zi Quan LYU ; Zhi Gao CHEN ; Hua Wei XIONG ; Yan LU ; Qing Shan LUO ; Qiu Ying LYU ; Jin ZHAO ; Ying WEN ; Jia WAN ; Fang Fang LU ; Jian Hua LU ; Xuan ZOU ; Zhen ZHANG
Chinese Journal of Epidemiology 2023;44(3):379-385
Objective: To explore the epidemiological characteristic of a COVID-19 outbreak caused by 2019-nCoV Omicron variant BF.7 and other provinces imported in Shenzhen and analyze transmission chains and characteristics. Methods: Field epidemiological survey was conducted to identify the transmission chain, analyze the generation relationship among the cases. The 2019-nCoV nucleic acid positive samples were used for gene sequencing. Results: From 8 to 23 October, 2022, a total of 196 cases of COVID-19 were reported in Shenzhen, all the cases had epidemiological links. In the cases, 100 were men and 96 were women, with a median of age, M (Q1, Q3) was 33(25, 46) years. The outbreak was caused by traverlers initial cases infected with 2019-nCoV who returned to Shenzhen after traveling outside of Guangdong Province.There were four transmission chains, including the transmission in place of residence and neighbourhood, affecting 8 persons, transmission in social activity in the evening on 7 October, affecting 65 persons, transmission in work place on 8 October, affecting 48 persons, and transmission in a building near the work place, affecting 74 persons. The median of the incubation period of the infection, M (Q1, Q3) was 1.44 (1.11, 2.17) days. The incubation period of indoor exposure less than that of the outdoor exposure, M (Q1, Q3) was 1.38 (1.06, 1.84) and 1.95 (1.22, 2.99) days, respcetively (Wald χ2=10.27, P=0.001). With the increase of case generation, the number and probability of gene mutation increased. In the same transmission chain, the proportion of having 1-3 mutation sites was high in the cases in the first generation. Conclusions: The transmission chains were clear in this epidemic. The incubation period of Omicron variant BF.7 infection was shorter, the transmission speed was faster, and the gene mutation rate was higher. It is necessary to conduct prompt response and strict disease control when epidemic occurs.
Male
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Humans
;
Female
;
SARS-CoV-2
;
COVID-19/epidemiology*
;
Disease Outbreaks
;
Epidemics
;
China/epidemiology*
8.Epidemiological characteristics and research progress of monkeypox in 2022.
Chun Xiao LIAO ; Bo WANG ; Jun LYU ; Li Ming LI
Chinese Journal of Epidemiology 2023;44(3):486-490
Monkeypox is a zoonosis caused by monkeypox virus. Monkeypox was endemic mainly in central and western Africa in the past. Since May 7, 2022, monkeypox outbreaks have been reported in many non-epidemic countries and regions around the world. As of December 25, 2022, monkeypox cases have been detected in 110 countries and areas. Moreover, human to human transmission, especially among men who have sex with men, has aroused high global concern. The incidence, transmission route and clinical characteristics of monkeypox in 2022 seemed different from those in the past. Therefore, this paper summarizes the progress in research of the changes of epidemiological characteristics of monkeypox, the clinical characteristics of monkeypox and its prevention and treatment to provide scientific evidence for the prevention and control of monkeypox.
Male
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Animals
;
Humans
;
Monkeypox/epidemiology*
;
Homosexuality, Male
;
Sexual and Gender Minorities
;
Zoonoses
;
Disease Outbreaks
9.Challenges to global pertussis prevention and control.
Meng ZHANG ; Dan WU ; Yi Xing LI ; Hui ZHENG ; Zun Dong YIN ; Xiao Feng LIANG
Chinese Journal of Epidemiology 2023;44(3):491-497
Pertussis is an acute, highly infectious respiratory disease caused by Bordetella pertussis, and is one of the leading causes of infant disease and death worldwide. The pertussis vaccine has been used in the expanded program on immunization globally since 1974 and the vaccination coverage remains high. In recent years, the pertussis incidence rate increased, even pertussis outbreaks occurred, in more and more countries or areas after years with low incidence level. The disease burden of pertussis has been seriously underestimated, and the prevention and control of pertussis is facing many challenges. This article reviews the epidemic status of pertussis worldwide, the factors affecting the reemergence of pertussis, and the challenges in the prevention and control to provide a reference for prevention and control of pertussis.
Infant
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Humans
;
Whooping Cough/prevention & control*
;
Vaccination
;
Pertussis Vaccine/therapeutic use*
;
Bordetella pertussis
;
Disease Outbreaks
10.Epidemiological Characteristics and Spatiotemporal Distribution Patterns of Human Norovirus Outbreaks in China, 2012-2018.
Meng Ying ZHAI ; Lu RAN ; Jiao WANG ; Dan YE ; Wen Jing YANG ; Xu YAN ; Lin WANG
Biomedical and Environmental Sciences 2023;36(1):76-85
OBJECTIVE:
To clarify the epidemiological characteristics and spatial distribution patterns of human norovirus outbreaks in China, identify high-risk areas, and provide guidance for epidemic prevention and control.
METHODS:
This study analyzed 964 human norovirus outbreaks involving 50,548 cases in 26 provinces reported from 2012 to 2018. Epidemiological analysis and spatiotemporal scanning analysis were conducted to analyze the distribution of norovirus outbreaks in China.
RESULTS:
The outbreaks showed typical seasonality, with more outbreaks in winter and fewer in summer, and the total number of infected cases increased over time. Schools, especially middle schools and primary schools, are the most common settings of norovirus outbreaks, with the major transmission route being life contact. More outbreaks occurred in southeast coastal areas in China and showed significant spatial aggregation. The highly clustered areas of norovirus outbreaks have expanded northeast over time.
CONCLUSION
By identifying the epidemiological characteristics and high-risk areas of norovirus outbreaks, this study provides important scientific support for the development of preventive and control measures for norovirus outbreaks, which is conducive to the administrative management of high-risk settings and reduction of disease burden in susceptible areas.
Humans
;
Gastroenteritis/epidemiology*
;
Norovirus
;
Caliciviridae Infections/epidemiology*
;
Disease Outbreaks
;
China/epidemiology*
;
Genotype

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