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Objectives: To evaluate COVID-19 vaccines in primary prevention against infections and lessening the severity of illness following the most recent outbreak of the SARS-CoV-2 Omicron variant in Shanghai. Method(s): To investigate whether inactivated vaccines were effective in protecting against COVID-19 infections, we estimated the odds ratio (OR) of the vaccination in COVID-19 cases vs. matched community-based healthy controls. To evaluate the potential benefits of vaccination in lowering the risk of symptomatic infection (vs. asymptomatic), we estimated the relative risk (RR) of symptomatic infections among diagnosed patients. We also applied the multivariate stepwise Logistic regression analyses to measure the risk of disease severity (symptomatic vs. asymptomatic and moderate/severe vs. mild) in COVID-19 patient cohort with vaccination status as an independent variable while controlling for potential confounding factors. Result(s): Out of the 153,544 COVID-19 patients included in the analysis, 118,124 (76.9%) patients had been vaccinated and 143,225(93.3%) were asymptomatic patients. Of the 10,319 symptomatic patients, 10,031(97.2%), 281(2.7%) and 7(0.1%) experienced mild, moderate, and severe infections, respectively. There is no evidence that the vaccination helped protect from infections (OR=0.82, p=0.613). The vaccination, however, offered a small but significant protection against symptomatic infections (RR=0.92, p < 0.001) and halved the risk of moderate/severe infections (OR=0.48, 95% CI: 0.37 - 0.61). Older age (> 60 years) and malignant tumors were significantly associated with moderate/severe infections. Gender also appeared to be a risk factor for symptomatic infections, with females being associated with a lower risk for moderate/severe illness. Conclusion(s): Inactivated COVID-19 vaccines helped provide a small but significant protection against symptomatic infections and halved risk of moderate/severe illness among symptomatic patients. The vaccination was not effective in blocking COVID-19 Omicron variant community spread.Copyright © 2023
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Background: In the field of antibody engineering, an essential task is to design a novel antibody whose paratopes bind to a specific antigen with correct epitopes. Understanding antibody structure and its paratope can facilitate a mechanistic understanding of its function. Therefore, antibody structure prediction from its sequence alone has always been a highly valuable problem for de novo antibody design. AlphaFold2 (AF2), a breakthrough in the field of structural biology, provides a solution to this protein structure prediction problem by learning a deep learning model. However, the computational efficiency and undesirable prediction accuracy on antibody, especially on the complementarity-determining regions limit its applications in de novo antibody design. Method(s): To learn informative representation of antibodies, we trained a deep antibody language model (ALM) on curated sequences from observed antibody space database via a well-designed transformer model. We also developed a novel model named xTrimoABFold++ to predict antibody structure from antibody sequence only based on the pretrained ALM as well as efficient evoformers and structural modules. The model was trained end-to-end on the antibody structures in PDB by minimizing the ensemble loss of domain-specific focal loss on CDR and the frame aligned point loss. Result(s): xTrimoABFold++ outperforms AF2 and OmegaFold, HelixFold-Single with 30+% improvement on RMSD. Also, it is 151 times faster than AF2 and predicts antibody structure in atomic accuracy within 20 seconds. In recently released antibodies, for example, cemiplimab of PD1 (PDB: 7WVM) and cross-neutralizing antibody 6D6 of SARS-CoV-2 (PDB: 7EAN), the RMSD of xTrimoABFold++ are 0.344 and 0.389 respectively. Conclusion(s): To the best of our knowledge, xTrimoABFold++ achieved the state-of-the-art in antibody structure prediction. Its improvement on both accuracy and efficiency makes it a valuable tool for de novo antibody design, and could make further improvement in immuno-theory.
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After the outbreak of COVID-19, it is of great significance to find an appropriate dynamic model of COVID-19 epidemic in order to master its transmission law, predict its development trend, and provide corresponding prevention and control basis. In this paper, the SEIRV chamber model is adopted, and the dynamics model of infectious disease is established by combining the fractional derivative of Conformable. The fractional derivative differential equation of Conformable is discretized by numerical method and its numerical solution is obtained. In addition, numerical simulation was carried out on the confirmed data of Wuhan city from January 23, 2020 to February 11, 2020. At the same time, consider that the Wuhan municipal government revised the epidemic data on February 12, 2020, adding nearly 14,000 people. The order α value of SEIRV model is modified, and then the revised data is simulated. The simulation results are in good agreement with the published data. The results show that compared with the traditional integer order model, the fractional order model can simulate the modified data. This reflects the advantages of fractional infectious disease dynamics model, and can provide certain reference value for the prediction of COVID-19 model. © 2022 Editorial Borad of Complex Systems and Complexity Science. All rights reserved.
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Coronavirus disease 2019 (COVID - 19)is an acute viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS - CoV - 2)infection and is mainly transmitted through the respiratory tract. It not only invades the respiratory system of human body, but also damages various organs and systems. Evidence has shown that there may be a causal association between SARS - CoV - 2 and spontaneous splenic rupture. This article recognizes the possibility of SARS - CoV - 2 - associated spontaneous splenic rupture and discusses its pathogenesis and related diagnosis and treatment regimens, so as to avoid missed diagnosis and misdiagnosis in clinical practice.Copyright © 2022 by the Author(s).
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The pandemic of the COVID-19, has brought a great impact to the education and teaching, so the teaching can only be carried out online, in order to ensure the monitoring and management of teaching quality during teaching. This project import the latest information intelligent teaching system, multi-directional to ensure the monitoring and control of teaching quality, the deep integration of 'Rain Classroom' technology and teaching in this project, So that the interaction information between teachers and students can be recorded in real time during the online teaching, and organized, analyzed, stored also;Import the online teaching platform, collected the students records that finished homework during the epidemic;Import the online virtual experiment platform, online to finished the remote experimental operation of students. Thus, the trinity builds a three-dimensional teaching quality assurance system to escort high-quality big data course teaching during the epidemic. © 2023 IEEE.
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This purpose of this study is to help students developing problem-solving skills by using Problem-based Learning (PBL) as a teaching model, combining with the Objective Structured Clinical Examination (OSCE) as a training tool to evaluate students' clinical competencies. Sixty-five college junior students from a therapeutic nutrition course were participated. The topics of PBL included diabetes, kidney disease, cancer, and cardiovascular disease. For each disease, pre- and post-test quiz and after class exam were assessed to evaluate the students' learning effectiveness. Due to the impact of the COVID-19 epidemic, OSCE was performed online. The focus group interview and learning effectiveness questionnaire were conducted by the end of this course for all participants. Moreover, 37 students who attended the dietitian internship filled in the learning effectiveness questionnaire again after the internship. The results indicated that after the PBL, the post quiz score for each disease was increased, and through the online OSCE training, students' abilities to master nutrition education and counseling had been upgraded. Students indicated that both PBL and OSCE training could contributed to the learning effectiveness. The better academic performance students were, the more willing they are to work in nutrition-related fields in the future. For those who finished the dietitian internship agreed that they could understand the work content better in general regional and regional hospitals than in teaching ones. In conclusion, PBL teaching model combined with OSCE training could effectively improve students' learning motivation, learning effectiveness and practical application in a therapeutic nutrition course.Copyright © 2022 Nutrition Society in Taipei. All rights reserved.
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Objective To investigate the psychological characteristics of college students during the outbreak of coronavirus disease 2019 (COVID-19), so as to provide a basis for psychological intervention. Methods From May 17, 2020 to Jun. 17, 2020, the adjusted psychological questionnaires for emergent events of public health (PQEEPH) was surveyed among the college students of Beijing Union University. The questionnaire included 5 dimensions: depression, neurasthenia, fear, obsessive-compulsive anxiety, and hypochondriasis. Four grades were scored according to the degree and frequency of emotional responses: 0 means no symptoms, 1 means mild symptoms, 2 means moderate symptoms, and 3 means severe symptoms. Results A total of 3 019 valid questionnaires were collected. During the COVID-19 epidemic, the emotional responses of college students, from the most serious to the least, were fear, neurasthenia, depression, obsessive-compulsive anxiety, and hypochondriasis, with the incidences being 87.7% (2 648/3 019), 44.8% (1 353/3 019), 37.4% (1 129/3 019), 17.3% (522/3 019), and 11.6% (350/3 019), respectively. The fear scores of female students were higher than those of male students (P<0.001), the fear scores of college students from towns/suburbs were higher than those from rural and urban areas (both P<0.017), the scores of depression, neurasthenia and obsessive-compulsive anxiety of college students with confirmed COVID-19 cases around them or their relatives participated in the epidemic prevention and control as medical staff or logistics support personnel were higher than those without such conditions (all P<0.017), and the scores of depression, obsessive-compulsive anxiety and hypochondriasis of college students with suspected COVID-19 cases around them were higher than those without such condition (all P<0.017). Females were more likely to have moderate to severe fear than males (odds ratioOR=1.53, 95% confidence intervalCI1.25-1.88, P<0.001), those with confirmed or suspected COVID-19 cases around them were more likely to have moderate to severe fear than those without such conditions (OR=2.03, 95% CI 1.29-3.20, P=0.002), and those living in towns/suburbs were more likely to have moderate to severe fear than those living in rural and urban areas (OR=0.72, 95% CI 0.56-0.94, P=0.015;OR=0.78, 95% CI 0.63-0.97, P=0.025). Conclusion COVID-19 epidemic has impact on the psychology of college students. It is necessary to pay attention to the mental health of college students and provide targeted psychological counseling for them.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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Deep learning (DL) approaches for image segmentation have been gaining state-of-the-art performance in recent years. Particularly, in deep learning, U-Net model has been successfully used in the field of image segmentation. However, traditional U-Net methods extract features, aggregate remote information, and reconstruct images by stacking convolution, pooling, and up sampling blocks. The traditional approach is very inefficient due of the stacked local operators. In this paper, we propose the multi-attentional U-Net that is equipped with non-local blocks based self-attention, channel-attention, and spatial-attention for image segmentation. These blocks can be inserted into U-Net to flexibly aggregate information on the plane and spatial scales. We perform and evaluate the multi-attentional U-Net model on three benchmark data sets, which are COVID-19 segmentation, skin cancer segmentation, thyroid nodules segmentation. Results show that our proposed models achieve better performances with faster computation and fewer parameters. The multi-attention U-Net can improve the medical image segmentation results. © 2022 IEEE.
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Domestic wastewater, when collected and evaluated appropriately, can provide valuable health-related information for a community. As a relatively unbiased and non-invasive approach, wastewater surveillance may complement current practices towards mitigating risks and protecting population health. Spurred by the COVID-19 pandemic, wastewater programs are now widely implemented to monitor viral infection trends in sewersheds and inform public health decision-making. This review summarizes recent developments in wastewater-based epidemiology for detecting and monitoring communicable infectious diseases, dissemination of antimicrobial resistance, and illicit drug consumption. Wastewater surveillance, a quickly advancing Frontier in environmental science, is becoming a new tool to enhance public health, improve disease prevention, and respond to future epidemics and pandemics.
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Objective To explore the clinical effect and safety of Suhexiang Pills () in the treatment of patients with tachycardia after severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Methods A total of 138 patients with tachycardia after SARS-CoV-2 infection admitted to eight hospitals such as 971st Hospital of the PLA Navy, Changzhou Second People's Hospital, Xuzhou First People's Hospital, Henan Provincial People's Hospital, Henan Chest Hospital from February 2023 to March 2023 were randomly divided into control group and treatment group, with 87 patients in the treatment group and 51 in the control group. Patients in the control group were po administered with betaloc, once a day, and the initial dose was 23.75 mg, adjusted in time according to the patient's heart rate. Patients in the treatment group were po administered with Suhexiang Pills, 1 pill/time, twice daily. Patients in two groups were treated for 7 d. The clinical efficacy of the two groups was observed, and the heart rate and cardiac function indexes, RR interval, blood oxygen saturation and adverse reactions were compared between the two groups before and after treatment. Results After treatment, the total effective rate of the treatment group was 98.85%, and the total effective rate of the control group was 90.20%, and the difference between the two groups was statistically significant (P < 0.05). After treatment, heart rates were significantly decreased in both groups (P < 0.05), and the heart rates of the treatment group were significantly better than those of the control group (P < 0.05) on the 7th day of treatment. After treatment, the level of left ventricular ejection fraction (LVEF) in both groups was significantly higher than that before treatment (P < 0.05), and there was statistical difference between the treatment group and the control group (P < 0.05). The levels of left ventricular end diastolic dimension (LVEDD) and left ventricular end-systolic diameter (LVESD) in the treatment group significantly decreased than that before treatment (P < 0.05), and there was no statistical difference compared with the control group (P > 0.05). After treatment, the maximum RR interval in both groups reached the normal range on the third day, and the treatment group was significantly better than the control group (P < 0.05). Blood oxygen saturation of the treatment group was significantly increased on the 7th day of treatment compared with before treatment (P < 0.05), but there was no statistical significance between the two groups (P > 0.05). There was no significant difference in the total incidence of adverse events between the two groups (P > 0.05). Conclusion Suhexiang Pills decrease heart rates in patients with tachycardia after SARS-CoV-2 infection, which was equivalent to the effect of western medicine, and can protect heart, improve heart function to a certain extent.Copyright © 2023 Editorial Office of Chinese Traditional and Herbal Drugs. All rights reserved.
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Objective To investigate the mental health status of military healthcare workers in shelter hospitals in Shanghai during the epidemic caused by severe acute respiratory syndrome coronavirus 2 omicron variant and its influencing factors. Methods A total of 540 military healthcare workers in shelter hospitals in Shanghai were investigated with patient health questionnaire-9 (PHQ-9), generalized anxiety disorder-7 (GAD-7) and Athens insomnia scale (AIS) to explore their mental health status, and logistic regression was used to analyze the influencing factors. Results A total of 536 valid questionnaires were collected, with an effective rate of 99.3% (536/540). The incidence of depression, anxiety and insomnia among military healthcare workers in shelter hospitals in Shanghai was 45.5% (244/536), 26.1% (140/536) and 59.5% (319/536), respectively. Logistic regression analysis showed that whether people resided in Shanghai, the proportion of negative information in daily browsing information and diet status in shelter hospitals were the influencing factors of depression, anxiety and insomnia (all P<0.05);age and confidence in the future of Shanghai were the influencing factors of depression and insomnia (all P<0.05);and the time spent daily on epidemic-related information was an influencing factor of insomnia (P=0.021). Conclusion The incidence of depressive, anxiety and insomnia among military healthcare workers in shelter hospitals in Shanghai is high during the epidemic caused by severe acute respiratory syndrome coronavirus 2 omicron variant. Psychological consequences of the epidemic should be monitored regularly and continuously to promote the mental health of military healthcare workers.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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Objective. The prognosis value of fibrosis-4 score (FIB-4) in COVID-19 is controversial. Hence, we conducted a systematic review and meta-analysis to investigate the association between the FIB-4 index and COVID-19 disease progression. Methods. We performed meta-analysis using the PubMed, Embase, and Cochrane databases. A fixed- or random-effects model was used for evaluating heterogeneity. Results. Thirteen studies were included. The meta-analysis of unadjusted results showed that compared to lower FIB-4 index, patients with higher FIB-4 index had increased odds of mortality (OR=5.1, 95%CI 3.67-7.09;P<0.001), ICU admission (OR=2.32, 95%CI: 1.65-3.25, P<0.00001) and need for mechanical ventilator support (OR=3.51, 95%CI: 2.1-5.85, P<0.001). In addition, the meta-analysis of adjusted results showed patients with higher FIB-4 index was associated with increased risk of mortality (OR=3.01, 95%CI: 2.21-4.09, P<0.001) and need for mechanical ventilator support (OR=3.76, 95%CI: 2.08-6.82, P<0.001) compared to patients with lower FIB-4 index. Conclusion. This meta-analysis indicated that high FIB-4 index score was associated with the severity and mortality in COVID-19 infected patients.Copyright © 2022 by the Association of Clinical Scientists, Inc.
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Although various internet memes (IMs) were disseminated and popularized during the COVID-19 pandemic, the degree to which people appreciate them is unclear. In this study, people's appreciation of three kinds of typical IMs, which respectively conveyed the humorous (H-IM), encouraging (E-IM), and aggressive (A-IM) feelings towards the pandemic and the consequences it brought about, along with one objective description (OD) serving as the control condition, were compared. The results showed that the E-IMs and H-IMs were significantly more appreciated and loved than the A-IMs, thus supporting the prediction of positive psychology and humor regulation of negative emotion but failing to support the theory of psychology catharsis that emphasizes the need of making aggression to release tense and angry feelings caused by the pandemic. The results also showed that creativity played a mediating role for the positivity component in E-IMs and the humor component in H-IMs when predicting their fondness ratings. For the H-IMs, creativity could even fully mediate the impact of humor for exerting regulation effects on negative emotions evoked by the pandemic-related affairs such as home quarantine. This result revealed the creative nature of the IMs and showed that IMs are a kind of insightful cognitive restructuring that people make as a creative adaption to unfavorably changed situations caused by the pandemic.
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As the global spread of COVID-19becomesarapidly19 becomes a rapidly evolvingcrisis,thedevelopmentofcontactlesssharedevolving crisis, the development of contactless shared interactivedisplaysisanurgentiinteractive displays is an urgent issuetoreducetheriskofssue to reduce the risk of viralandbacterialcrosscontaminationduetotheuseofviral and bacterial cross contamination due to the use of touchtouch -operatedshareduserterminals.Here,weoperated shared user terminals. Here, we experimentallydemonstrateacontactlessuserterminalexperimentally demonstrate a contactless user terminal fabricatedwithamonolithicGaNOptoelectronicsystemfabricated with a monolithic GaN Optoelectronic system (MGOS),which(MGOS), which integratesthetransmitterandreceiverintointegrates the transmitter and receiver into asinglechip.a single chip. TheinherentspectralemissionThe inherent spectral emission-responsivenessresponsiveness overlapofGaNQWdiodesgivesthedeviceauniqueabilityoverlap of GaN QW diodes gives the device a unique ability todetectlighttransmittedbydiodesthatsharethesameQWto detect light transmitted by diodes that share the same QW structure.WhentheGaNtransmstructure. When the GaN transm itteremitslighttoitter emits light to illuminateanexternalobject,theintegratedGaNreceiverilluminate an external object, the integrated GaN receiver candetectthereflectedlightencodingtheinformationandcan detect the reflected light encoding the information and converttheopticalsignalintoanelectricalsignal,sothatconvert the optical signal into an electrical signal, so that thenonthe non--contactuserterminalhastheabilitytouselcontact user terminal has the ability to use lightforight for bidirectionaldatacommunication.Comparedtotraditionalbidirectional data communication. Compared to traditional handwritingsystems,theseterminalsoperateascontactlesshandwriting systems, these terminals operate as contactless informationentrydevicesthatcanhelpreducepotentialinformation entry devices that can help reduce potential crosscross--contaminationduetocontactwithhandwritingcontamination due to contact with handwriting terminals,providepterminals, provide precautionstokeeptheenvironmentrecautions to keep the environment clean,andhelppreventvirustransmission.clean, and help prevent virus transmission.
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Different autoantibodies can be detected in patients with coronavirus disease 2019 (COVID-19). It is reported that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection could induce autoimmune diseases (AID), including children's multisystem inflammatory syndrome (MIS-C), Guillain Barre syndrome (GBS), Autoimmune hemolytic anemia (AIHA), immune thrombocytopenia (ITP) and thyroid autoimmune diseases. This article mainly reviews the similarities between COVID-19 and AID, the possibility of COVID-19 inducing AID, the risk of AID patients infected or vaccinated against COVID-19. The purpose is to provide strategies for the prevention, management and treatment of AID during the epidemic.
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COVID-19 , Epidemics , Guillain-Barre Syndrome , Child , Humans , SARS-CoV-2 , Guillain-Barre Syndrome/epidemiology , Guillain-Barre Syndrome/therapyABSTRACT
Objective To investigate the psychological characteristics of college students during the outbreak of coronavirus disease 2019 (COVID-19), so as to provide a basis for psychological intervention. Methods From May 17, 2020 to Jun. 17, 2020, the adjusted psychological questionnaires for emergent events of public health (PQEEPH) was surveyed among the college students of Beijing Union University. The questionnaire included 5 dimensions: depression, neurasthenia, fear, obsessive-compulsive anxiety, and hypochondriasis. Four grades were scored according to the degree and frequency of emotional responses: 0 means no symptoms, 1 means mild symptoms, 2 means moderate symptoms, and 3 means severe symptoms. Results A total of 3 019 valid questionnaires were collected. During the COVID-19 epidemic, the emotional responses of college students, from the most serious to the least, were fear, neurasthenia, depression, obsessive-compulsive anxiety, and hypochondriasis, with the incidences being 87.7% (2 648/3 019), 44.8% (1 353/3 019), 37.4% (1 129/3 019), 17.3% (522/3 019), and 11.6% (350/3 019), respectively. The fear scores of female students were higher than those of male students (P<0.001), the fear scores of college students from towns/suburbs were higher than those from rural and urban areas (both P<0.017), the scores of depression, neurasthenia and obsessive-compulsive anxiety of college students with confirmed COVID-19 cases around them or their relatives participated in the epidemic prevention and control as medical staff or logistics support personnel were higher than those without such conditions (all P<0.017), and the scores of depression, obsessive-compulsive anxiety and hypochondriasis of college students with suspected COVID-19 cases around them were higher than those without such condition (all P<0.017). Females were more likely to have moderate to severe fear than males (odds ratio[OR]=1.53, 95% confidence interval[CI]1.25-1.88, P<0.001), those with confirmed or suspected COVID-19 cases around them were more likely to have moderate to severe fear than those without such conditions (OR=2.03, 95% CI 1.29-3.20, P=0.002), and those living in towns/suburbs were more likely to have moderate to severe fear than those living in rural and urban areas (OR=0.72, 95% CI 0.56-0.94, P=0.015;OR=0.78, 95% CI 0.63-0.97, P=0.025). Conclusion COVID-19 epidemic has impact on the psychology of college students. It is necessary to pay attention to the mental health of college students and provide targeted psychological counseling for them.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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From October 22 to 23, 2021, the 16th National Postgraduates Symposium on Environmental and Occupational Medicine was successfully held in Central South University, sponsored by the Editorial Board of Journal of Environmental and Occupational Medicine and Xiangya School of Public Health of Central South University, and co-organized by School of Public Health of South China University and Shanghai Preventive Medicine Association. Keeping in view the outbreak of COVID-19, the symposium was held in the form of "offline+online". More than 100 teachers and students from more than 30 universities and research institutions across China attended the conference. A total of 114 excellent papers were submitted to this conference. Focusing on the theme of "Research and practice: Healing the schism", young scholars' forum as well as postgraduates' academic exchanges at the main venue and four parallel sessions were launched. This conference not only provided an excellent platform for postgraduate students in the field of environmental and occupational medicine nationwide to share academic trends and exchange academic research, but also expanded the influence of the Journal of Environmental and Occupational Medicine.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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In the practice of COVID-19 prevention and control in China, the home quarantine policy directly connects and manages the residents, which plays a significant role in preventing the spread of the epi-demic in the community. We evaluate the effectiveness of current home quarantine policy in the actual execution process based on the evolutionary game relationship between the community and res-idents. This paper establishes a double-layer coupled complex network game model, and uses the multi-agent modeling method to study the game relationship between the community and residents in the context of home quarantine policies. The results show that initial strategy of the community with strict supervision and reasonable government reward allocation will increase the proportion of the residents complying with the quarantine rule. When 80% of the communities chose to supervise strictly at the beginning, people are more likely to follow the rules. While when the residents can only get 20% of the government's reward, the proportion of choosing to violate the quarantine rules is much higher than that when they can get 80% of the reward. Besides, the structure of small-world network and environmental noise will also affect the residents' strategy. As the probability of reconnection of the small-world network rises from 0.2 to 0.8, the proportion of residents who choose to comply with the strategy becomes much higher. When the environmental noise reaches 0.5, the ratio of residents who choose to violate the strategy is higher than the ratio of complianc. The study is helpful to provide the basis for the government to formulate the quarantine policy and propose an optimization for making effective quarantine measures. In this way, the government can adjust the parameters to make residents achieve the possible level of compliance with quarantine policies as high as possible to contain the spread of the epidemic.
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[Background] The COVID-19 pandemic hints at the importance of modernizing disease control system. To understand the scientific research strength of our country's disease control system in recent years is conducive to formulating more targeted policies or measures to promote the modernization of the disease control system. [Objective] To understand the scientific research strength and research hotspots of China's provincial-level centers for disease control and prevention (CDCs) from 2011 to 2020, and provide evidence for the development of scientific research work, discipline construction, and talent team construction in CDCs in the future. [Methods] The Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) of the Web of Science Core Collection were used to retrieve SCI-indexed English papers published by 31 provincial CDCs (excluding Taiwan Province, Hong Kong and Macau Special Administrative Regions) in our country from 2011 to 2020, and to screen literature with provincial CDCs as the first affiliation for bibliometric analysis and visual analysis. Bibliometric analysis included the SCI-indexed publications of different provincial CDCs (as co-affiliation and the first affiliation), the number of SCI-indexed papers published by provincial CDCs (as the first affiliation) and funding rates by years, the high-frequency authors of SCI-indexed papers published by provincial CDCs (as the first affiliation) and their distribution, and the characteristics of the journals. Visual analysis software Citespace 5.8.R1 was used to draw keyword co-occurrence maps, cluster information tables, and emergence maps to provide information on research hotspots and their evolution. [Results] From 2011 to 2020, the number of SCI-indexed papers from 31 provincial CDCs was 8 420 (including co-affiliation), of which 2 060 papers listed provincial CDCs as the first affiliation. The provincial CDCs of Zhejiang, Jiangsu, Shanghai, Beijing, Shandong, and Guangdong were the leading six institutes in terms of the total number of SCI-indexed papers contributed as co-affiliation or the first affiliation. There was a large gap in the total number of SCI-indexed papers among the provincial CDCs. The highest total number of SCI-indexed papers contributed by provincial CDCs as the first affiliation was Zhejiang CDC (448 papers), while the lowest number was Xinjiang CDC (only 1 paper). From 2011 to 2020, the total number of SCI-indexed papers contributed by the 31 provincial CDCs as the first affiliation showed an overall increasing trend. Except for 2011, which was 63.1%, the funding rates in other years exceeded 70%. In terms of high-frequency authors, 13 first authors published >=10 SCI-indexed papers: Zhang Yingxiu from Shandong CDC had the highest number of SCI-indexed papers (47), followed by Hu Yu from Zhejiang CDC. Zhejiang, Jiangsu, Beijing, Guangdong, Shanghai, and Shandong still ranked the top six of >=4 first authored-SCI papers. In terms of journal characteristics, the top 20 journals with the highest number of SCI papers published a total of 862 papers, accounting for 41.8% (862/2 060), and PLOS ONE ranked the first (188 papers). The research hotspots were mainly concentrated in the fields of infection, child health, and epidemiology. The main keywords of the first three cluster categories were related to the research fields of adolescent overweight and obesity, HIV, and vaccine immunity. The results of keyword emergence showed that research hotspots shifted from overweight, obesity, and body mass index to antibodies, vaccines/vaccination, and cohorts. [Conclusion] The past ten years have witnessed increasing numbers of SCI-indexed papers published by provincial CDCs in our country and a stubbornly high funding rate. However, the gap among the provincial CDCs is still large seeing that economically developed eastern provincial CDCs published more SCI-indexed papers. Research hotspots have gradually shifted from overweight, obesity, and body mass index to antibodies, vaccines/vaccination, and cohorts.Copyright © 022 Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.