中国疾病预防控制中心周报最新文献_第3页

Strengthening Organizational Support Is Essential for the High-Quality Development of Disease Prevention and Control Initiatives. 加强组织支持是高质量制定疾病预防和控制计划的关键。

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-20 DOI: 10.46234/ccdcw2024.204

Ying Cui, Qingfeng Chen, Hao Chen, Kaixuan Liu, Yuan Wang, Chengyu Lai, Zhi Zeng, Jun Yan

引用次数: 0

China's Initiatives and Achievements in Enhancing the Professional Capabilities of CDCs. 中国在提高疾控中心专业能力方面的举措和成就。

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-20 DOI: 10.46234/ccdcw2024.203

Hao Chen, Ying Cui, Kaixuan Liu, Chengyu Lai, Yuan Wang, Qingfeng Chen, Zhi Zeng, Yang Mei

引用次数: 0

Reported Cases and Deaths of National Notifiable Infectious Diseases - China, July 2024. 中国 2024 年 7 月全国报告传染病病例和死亡人数。

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-20 DOI: 10.46234/ccdcw2024.206

引用次数: 0

Strengthening the Construction of the Talent Team and Promoting the High-Quality Development of Disease Prevention and Control. 加强人才队伍建设，推动疾病预防控制事业高质量发展。

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-20 DOI: 10.46234/ccdcw2024.205

Qingfeng Chen, Ying Cui, Hao Chen, Chengyu Lai, Yuan Wang, Kaixuan Liu, Yuhui Zhou

引用次数: 0

Establishment of a Lateral Flow Dipstick Detection Method for Influenza A Virus Based on CRISPR/Cas12a System. 基于CRISPR/Cas12a系统的甲型流感病毒侧流浸量杆检测方法的建立

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-13 DOI: 10.46234/ccdcw2024.198

Xiaoyan Zhao, Ximing Zheng, Xiyong Yang, Qi Guo, Yi Zhang, Jun Lou

{"title":"Establishment of a Lateral Flow Dipstick Detection Method for Influenza A Virus Based on CRISPR/Cas12a System.","authors":"Xiaoyan Zhao, Ximing Zheng, Xiyong Yang, Qi Guo, Yi Zhang, Jun Lou","doi":"10.46234/ccdcw2024.198","DOIUrl":"https://doi.org/10.46234/ccdcw2024.198","url":null,"abstract":"Objective: This study aimed to develop a rapid, visual PCR-CRISPR/Cas12-LFD method for detecting influenza A by utilizing the conserved region of the matrix protein gene.Method: We crafted universal degradation primers and clustered regularly interspaced short palindromic repeats RNA (CRISPR RNA, crRNA) targeting the conserved matrix protein gene of the influenza virus (IFV), integrated with lateral flow dipstick (LFD) technology. This new PCR-CRISPR/Cas12-LFD approach was designed to determine its sensitivity and specificity through the analysis of various clinical samples collected in 2023.Results: The developed nucleic acid assay for influenza A viruses (IAV) demonstrated a sensitivity of 10 copies/μL without cross-reactivity with other respiratory pathogens. Evaluation of 82 clinical samples showed high concordance with results from fluorescent Polymerase Chain Reaction (PCR), achieving a kappa value of 0.95.Conclusion: A highly sensitive and specific PCR-CRISPR/Cas12-LFD method has been successfully established for the detection of influenza A, offering a robust tool for its diagnosis and aiding in the prevention and control of this virus.","PeriodicalId":69039,"journal":{"name":"中国疾病预防控制中心周报","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427337/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142336709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mapping the Characteristics of Respiratory Infectious Disease Epidemics in China Based on the Baidu Index from November 2022 to January 2023. 基于百度指数的 2022 年 11 月至 2023 年 1 月中国呼吸道传染病疫情特征图。

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-13 DOI: 10.46234/ccdcw2024.195

Dazhu Huo, Ting Zhang, Xuan Han, Liuyang Yang, Lei Wang, Ziliang Fan, Xiaoli Wang, Jiao Yang, Qiangru Huang, Ge Zhang, Ye Wang, Jie Qian, Yanxia Sun, Yimin Qu, Yugang Li, Chuchu Ye, Luzhao Feng, Zhongjie Li, Weizhong Yang, Chen Wang

{"title":"Mapping the Characteristics of Respiratory Infectious Disease Epidemics in China Based on the Baidu Index from November 2022 to January 2023.","authors":"Dazhu Huo, Ting Zhang, Xuan Han, Liuyang Yang, Lei Wang, Ziliang Fan, Xiaoli Wang, Jiao Yang, Qiangru Huang, Ge Zhang, Ye Wang, Jie Qian, Yanxia Sun, Yimin Qu, Yugang Li, Chuchu Ye, Luzhao Feng, Zhongjie Li, Weizhong Yang, Chen Wang","doi":"10.46234/ccdcw2024.195","DOIUrl":"https://doi.org/10.46234/ccdcw2024.195","url":null,"abstract":"Introduction: Infectious diseases pose a significant global health and economic burden, underscoring the critical need for precise predictive models. The Baidu index provides enhanced real-time surveillance capabilities that augment traditional systems.Methods: Baidu search engine data on the keyword \"fever\" were extracted from 255 cities in China from November 2022 to January 2023. Onset and peak dates for influenza epidemics were identified by testing various criteria that combined thresholds and consecutive days.Results: The most effective scenario for indicating epidemic commencement involved a 90th percentile threshold exceeded for seven consecutive days, minimizing false starts. Peak detection was optimized using a 7-day moving average, balancing stability and precision.Discussion: The use of internet search data, such as the Baidu index, significantly improves the timeliness and accuracy of disease surveillance models. This innovative approach supports faster public health interventions and demonstrates its potential for enhancing epidemic monitoring and response efforts.","PeriodicalId":69039,"journal":{"name":"中国疾病预防控制中心周报","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142336710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-13 DOI: 10.46234/ccdcw2024.197

Zou Chen, Hong Zhang, Yifeng Shen, Chuchu Ye

引用次数: 0

Development and Diagnosis Performance of IgM-Based Rapid Antigen Test for Early Detection of SARS-CoV-2 Infection in a Large Cohort of Suspected COVID-19 Cases - USA, Poland, and Sweden, 2021-2022. 2021-2022 年，在美国、波兰和瑞典的一大批 COVID-19 疑似病例中开发基于 IgM 的快速抗原检测试剂盒，用于早期检测 SARS-CoV-2 感染。

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-13 DOI: 10.46234/ccdcw2024.199

Yihua Huang, Yiyi Pu, Youhong Weng, Yahan Wu, Qing He, Sofia Litchev, Longyou Zhao, Haojie Ding, Yunru Lai, Jie Li, Xiaojun Zheng, Jinshu Chen, Xianqin Xiong, Shaohong Lu, Fei Gao, Meng Gao, Qingming Kong

{"title":"Development and Diagnosis Performance of IgM-Based Rapid Antigen Test for Early Detection of SARS-CoV-2 Infection in a Large Cohort of Suspected COVID-19 Cases - USA, Poland, and Sweden, 2021-2022.","authors":"Yihua Huang, Yiyi Pu, Youhong Weng, Yahan Wu, Qing He, Sofia Litchev, Longyou Zhao, Haojie Ding, Yunru Lai, Jie Li, Xiaojun Zheng, Jinshu Chen, Xianqin Xiong, Shaohong Lu, Fei Gao, Meng Gao, Qingming Kong","doi":"10.46234/ccdcw2024.199","DOIUrl":"https://doi.org/10.46234/ccdcw2024.199","url":null,"abstract":"Introduction: Antigen testing has been crucial in effectively managing the coronavirus disease 2019 (COVID-19) pandemic. This study evaluated the clinical performance of a nasopharyngeal swab (NPS)-based antigen rapid diagnostic test (Ag-RDT) compared to the gold standard real-time reverse transcription-polymerase chain reaction (RT-PCR) for early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Methods: We developed an IgM-based rapid antigen test for early detection of SARS-CoV-2 infection. Between July 2021 and January 2022, we analyzed 1,030 NPS samples from participants at three centers in different countries, using both antigen rapid diagnostic tests (Ag-RDT) and RT-PCR.Results: The Ag-RDT demonstrated minimal detection limits as low as 0.1 ng/mL for recombinant N antigen and 100 TCID50/mL for heat-inactivated SARS-CoV-2 virus. Specificity assessments involving four human coronaviruses and 13 other respiratory viruses showed no cross-reactivity. The Ag-RDT assay (ALLtest) exhibited high sensitivity (93.18%-100%) and specificity (99.67%-100%) across all centers. Factors such as cycle threshold (Ct) values and the timing of symptoms since onset were influential, with sensitivity increasing at lower Ct values (<30) and within the first week of symptoms.Conclusion: The ALLtest Ag-RDT demonstrated high reliability and significant potential for diagnosing suspected COVID-19 cases.","PeriodicalId":69039,"journal":{"name":"中国疾病预防控制中心周报","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427342/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142333536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent Forest Hospital as a New Management System for Hospital-Acquired Infection Control. 作为医院感染控制新管理系统的智慧森林医院。

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-13 DOI: 10.46234/ccdcw2024.201

Yingxin Liu, Zhousheng Lin, Guanwen Lin, Wanmin Lian, Junzhang Tian, Guowei Li, Hongying Qu

{"title":"Intelligent Forest Hospital as a New Management System for Hospital-Acquired Infection Control.","authors":"Yingxin Liu, Zhousheng Lin, Guanwen Lin, Wanmin Lian, Junzhang Tian, Guowei Li, Hongying Qu","doi":"10.46234/ccdcw2024.201","DOIUrl":"https://doi.org/10.46234/ccdcw2024.201","url":null,"abstract":"Hospital-acquired infection (HAI) is a significant global health concern, elevating the risks of morbidity and imposing a substantial socioeconomic burden. To enhance the management of HAI, particularly in the aftermath of the coronavirus disease 2019 (COVID-19) pandemic, the Guangdong Second Provincial General Hospital (GD2H) has launched a new system called Intelligent Forest Hospital (IFH). Leveraging advancements in artificial intelligence, 5G technology, and cloud networking, the IFH implements customized indoor air quality (IAQ) control strategies tailored to different medical settings. It utilizes various intelligent disinfection devices and air purification systems. The IFH features a dynamic 3D hospital model with real-time monitoring of crucial IAQ parameters and a risk assessment ranking for clinical departments, providing timely risk alerts, communication prompts, and automatic disinfection processes. The IFH aims to effectively mitigate HAI post-COVID-19 and other future pandemics, ensuring a safe and pleasant environment for patients, hospital staff, and visitors.","PeriodicalId":69039,"journal":{"name":"中国疾病预防控制中心周报","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142333537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and Comparison of Time Series Models in Predicting Severe Fever with Thrombocytopenia Syndrome Cases - Hubei Province, China, 2013-2020. 2013-2020 年中国湖北省重症发热伴血小板减少综合征病例预测时间序列模型的开发与比较》。

IF 4.3

中国疾病预防控制中心周报 Pub Date : 2024-09-13 DOI: 10.46234/ccdcw2024.200

Zixu Wang, Jinwei Zhang, Wenyi Zhang, Nianhong Lu, Qiong Chen, Junhu Wang, Yingqing Mao, Haiming Yi, Yixin Ge, Hongming Wang, Chao Chen, Wei Guo, Xin Qi, Yuexi Li, Ming Yue, Yong Qi

{"title":"Development and Comparison of Time Series Models in Predicting Severe Fever with Thrombocytopenia Syndrome Cases - Hubei Province, China, 2013-2020.","authors":"Zixu Wang, Jinwei Zhang, Wenyi Zhang, Nianhong Lu, Qiong Chen, Junhu Wang, Yingqing Mao, Haiming Yi, Yixin Ge, Hongming Wang, Chao Chen, Wei Guo, Xin Qi, Yuexi Li, Ming Yue, Yong Qi","doi":"10.46234/ccdcw2024.200","DOIUrl":"https://doi.org/10.46234/ccdcw2024.200","url":null,"abstract":"Introduction: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by the SFTS virus, which has a high mortality rate. Predicting the number of SFTS cases is essential for early outbreak warning and can offer valuable insights for establishing prevention and control measures.Methods: In this study, data on monthly SFTS cases in Hubei Province, China, from 2013 to 2020 were collected. Various time series models based on seasonal auto-regressive integrated moving average (SARIMA), Prophet, eXtreme Gradient Boosting (XGBoost), and long short-term memory (LSTM) were developed using these historical data to predict SFTS cases. The established models were evaluated and compared using mean absolute error (MAE) and root mean squared error (RMSE).Results: Four models were developed and performed well in predicting the trend of SFTS cases. The XGBoost model outperformed the others, yielding the closest fit to the actual case numbers and exhibiting the smallest MAE (2.54) and RMSE (2.89) in capturing the seasonal trend and predicting the monthly number of SFTS cases in Hubei Province.Conclusion: The developed XGBoost model represents a promising and valuable tool for SFTS prediction and early warning in Hubei Province, China.","PeriodicalId":69039,"journal":{"name":"中国疾病预防控制中心周报","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427339/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142333535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0