2.Emergency Management of Medical Equipment in Designated Hospitals for Public Health Emergencies.
Wanjing SHA ; Deqing SUN ; Yanyan ZHAO
Chinese Journal of Medical Instrumentation 2023;47(4):464-467
Medical supply is a key resource for responding to public health emergencies and maintaining people's lives and health. As the medical equipment management department, the medical devices department is mainly responsible for the procurement, supply, technical support, management and coordination of medical equipment and medical consumables, playing an important role in epidemic prevention and control. Through the analysis of the expansion cases of designated hospitals, the experience of emergency management of medical equipment has been accumulated, which has strong practicability and replicability.
Humans
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Public Health
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Emergencies
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Hospitals
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Epidemics
4.A survey on the public 's discrimination rate of typical rumors during the coronavirus disease 2019 epidemic.
Ming ZHENG ; Jie LI ; Peixia CHENG ; Peishan NING ; Guoqing HU
Journal of Central South University(Medical Sciences) 2022;47(12):1704-1710
OBJECTIVES:
During the epidemic of coronavirus disease-2019 (COVID-19), the wide spread of rumors caused significant public hazards. This study aims to understand the situation of discrimination for typical COVID-19 rumors by the public and related factors.
METHODS:
An anonymous online survey was carried out using Questionnaire Star. The contents included participants' gender, age, education level, the COVID-19 information sources, and the judgmental questions about 14 representative COVID-19 rumors. The discrimination rate and 95% confidence interval of 14 rumors were estimated, and the association of discrimination rate with gender, age, and education level was analyzed by binary logistic regression.
RESULTS:
A total of 2 087 valid questionnaires were collected. The participants were mainly female (62.7%) and below 35 years old (63.4%); the education level was predominantly college/bachelor's degree (47.3%) and master's degree or above (39.1%); the participants, who accessed to COVID-19 information included internet media, accounted for 91%. The participants with different gender, age, and education level had significant differences in the distribution of COVID-19 information sources (all P<0.01). The participants' discrimination rate for 14 rumors ranged from 67.4% to 98.6%, with 4 rumors less than 80%. Women's discrimination rate of 9 rumors was significantly higher than men's (all P<0.05). There was no significant difference in the discrimination rate of rumors among the different age groups (all P>0.05), but the differences in the discrimination rate of other rumors among the different age groups varied according to the rumor. Compared to those with high school or less education levels, the discrimination rates were also higher in the respondents with high education levels (P<0.05).
CONCLUSIONS
A few publics are still unable to identify typical rumors during the COVID-19 epidemic. There are associations among genders, age, and the education levels with the discrimination of some rumors. The government authorities should strengthen the true information regarding COVID-19, and therefore enhance the public's ability to identify rumors.
Humans
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Female
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Male
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Adult
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COVID-19/epidemiology*
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Epidemics
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Surveys and Questionnaires
6.Analysis on the imported Coronavirus Disease 2019 related cluster epidemic in rural areas of Chengdu.
Yong YUE ; Heng CHEN ; Liang WANG ; XunBo DU ; XuFang GAO ; Jun LIAO ; Rong ZHOU ; ZhenHua CHEN ; YueZhu CHEN ; WeiWei HUANG ; XiaoFang HUANG ; Min HU ; ChenLu ZHAO ; ChangHui DU ; LiLiang DENG ; Xian LIANG ; Zhu LIU
Chinese Journal of Preventive Medicine 2021;55(10):1240-1244
An epidemiological investigation was carried out on a local cluster of outbreak caused by imported cases of Coronavirus Disease 2019 (COVID-19) in rural areas of Chengdu in December 2020, to find out the source of infection and the chain of transmission. According to
COVID-19
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Disease Outbreaks
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Epidemics
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Humans
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Quarantine
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SARS-CoV-2
7.Advances in research of HIV transmission networks.
Zhi-Long DONG ; George Fu GAO ; Fan LYU
Chinese Medical Journal 2020;133(23):2850-2858
Transmission network analysis is a crucial evaluation tool aiming to explore the characteristics of the human immunodeficiency virus epidemic, develop evidence-based prevention strategies, and contribute to various areas of human immunodeficiency virus/acquired immunodeficiency syndrome prevention and control. Over recent decades, transmission networks have made tremendous strides in terms of modes, methods, applications, and various other aspects. Transmission network methods, including social, sexual, and molecular transmission networks, have played a pivotal role. Each transmission network research method has its advantages, as well as its limitations. In this study, we established a systematic review of these aforementioned transmission networks with respect to their definitions, applications, limitations, recent progress, and synthetic applications.
Acquired Immunodeficiency Syndrome
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Epidemics
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HIV Infections/epidemiology*
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Humans
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Sexual Behavior
8.Early identification of a clustered epidemic of typhoid fever through pathogen molecular subtyping monitoring.
Yan LIU ; Muti MAHE ; Fang LI ; Xiayidan WUFUER ; Hai Jian ZHOU
Chinese Journal of Preventive Medicine 2022;56(4):433-436
Objective: To identify a suspected clustered Typhoid fever by whole genome sequencing(WGS) and pulsed field gel electrophoresis (PFGE) subtyping. Methods: The nature of the epidemic was determined by combination of subtyping results of isolates and epidemiological information. Results: Five S. typhimurium isolates showed identical PFGE patterns and almost the same whole genome sequence. Epidemiological survey showed that five cases had dined in the same restaurant on the same day. Conclusion: Combined with the longest incubation period of typhoid fever, molecular subtyping of pathogenic bacteria and the field epidemiological survey, it can be preliminarily determined that the five cases have common infection sources.
Electrophoresis, Gel, Pulsed-Field
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Epidemics
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Humans
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Typhoid Fever/microbiology*
9.Survey of possible aerosol transmission of a COVID-19 epidemic caused by 2019-nCoV Delta variant.
Shuang Sheng WU ; Jiao Jiao ZHANG ; Ying SUN ; Zheng Yong REN ; Xiang Feng DOU ; Li ZHANG ; Wei DUAN ; Chun Na MA ; Peng YANG ; Xing Huo PANG
Chinese Journal of Epidemiology 2022;43(3):305-309
Objective: To investigate the epidemiological characteristics and the transmission chain of a family clustering of COVID-19 cases caused by severe acute respiratory 2019-nCoV Delta variant in Changping district of Beijing. Methods: Epidemiological investigation was conducted and big data were used to reveal the exposure history of the cases. Close contacts were screened according to the investigation results, and human and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: On November 1, 2021, a total of 5 COVID-19 cases caused by 2019-nCoV Delta variant were reported in a family detected through active screening. The infection source was a person in the same designated isolation hotel where the first case of the family cluster was isolated from 22 to 27, October. The first case was possibly infected through aerosol particles in the ventilation duct system of the isolation hotel. After the isolation discharge on October 27, and the first case caused secondary infections of four family members while living together from October 27 to November 1, 2021. Conclusion: 2019-nCoV Delta variant is prone to cause family cluster, and close attention needs to be paid to virus transmission through ventilation duct system in isolation hotels.
Aerosols
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COVID-19
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Epidemics
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Humans
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SARS-CoV-2
10.Analysis on the infection source of the first local cluster epidemic caused by the VOC/Gamma variant of SARS-CoV-2 in China.
Yang YU ; Ji Yu ZHANG ; Hai MA ; Yang HAN ; Li Xiao CHENG ; Xue Ying TIAN ; Ju Long WU ; Yan LI ; Yu Wei ZHANG ; De Ying CHEN ; Ji Zhao LI ; Jin Bo ZHANG ; Ze Xin TAO ; Zeng Qiang KOU ; Aiqiang XU
Chinese Journal of Preventive Medicine 2022;56(12):1789-1794
Objective: To investigate a SARS-CoV-2 epidemic reported in Rongcheng City, Weihai, Shandong Province. Methods: The SARS-CoV-2 nucleic acid positive patients and their close contacts were investigated, and the whole genome sequencing and genetic evolution analysis of 9 variant viruses were carried out. An infection source investigation and analysis were carried out from two sources of home and abroad, and three aspects of human, material and environment. Results: A total of 15 asymptomatic infections were reported in this epidemic, including 13 cases as employees of workshop of aquatic products processing company, with an infection rate of 21.67% (13/60). Two cases were infected people's neighbors in the same village (conjugal relation). The first six positive persons were processing workers engaged in the first process of removing squid viscera in the workshop of the company. The nucleic acid Ct value of the first time were concentrated between 15 and 29, suggesting that the virus load was high, which was suspected to be caused by one-time homologous exposure. The whole genome sequence of 9 SARS-CoV-2 strains was highly homologous, belonging to VOC/Gamma (Lineage P.1.15). No highly homologous sequences were found from previous native and imported cases in China. It was highly homologous with the six virus sequences sampled from May 5 to 26, 2021 uploaded by Chile. The infection source investigation showed that the company had used the squid raw materials captured in the ocean near Chile and Argentina from May to June 2021 over the last 14 days. Many samples of raw materials, products and their outer packages in the inventory were tested positive for nucleic acid. Conclusion: This epidemic is the first local epidemic caused by the VOC/Gamma of SARS-CoV-2 in China. It is speculated that the VOC/Gamma, which was prevalent in South America from May to June 2021, could be imported into China through frozen squid.
Humans
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SARS-CoV-2
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COVID-19
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Epidemics
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China/epidemiology*