Project description:This is a multi-centered, retrospective, observational study aimed at observing the current status of the management of gastrointestinal surgery during the COVID-19 pandemic, particularly the changes on surgery protocols and other key aspects of surgical workflow, so as to share experience with colleagues both domestic and abroad.
Project description:RNA was extracted from whole blood of subjects collected in Tempus tubes prior to COVID-19 mRNA booster vaccination. D01 and D21 correspond to samples collected at pre-dose 1 and pre-dose 2 respectively. RNA was also extracted from blood collected at indicated time points post-vaccination. DB1, DB2, DB4 and DB7 correspond to booster day 1 (pre-booster), booster day 2, booster day 4 and booster day 7 respectively. The case subject experienced cardiac complication following mRNA booster vaccination. We performed gene expression analysis of case versus controls over time.
Project description:Introduction On April 29, 2020, China entered a normalization stage of prevention and control. By December 2021, more than 40 outbreaks had occurred in China, which reflected the shortcomings of the pandemic prevention and control measures in China at that time. As the capital city of China, Beijing faces more pressure in epidemic prevention and control. Material and Methods We used the COVID-19 cluster containment evaluation indicators to determine the effects of prevention and control measures on four COVID-19 outbreaks in Beijing. After considering the specificity and operability of evaluation indicators and the availability of evaluation data, the evaluation system in our study consisted of six dimensions: epidemic prevention and control effect, discovery and detection ability, precision prevention and control capability, public protection effect, medical treatment and nosocomial infection prevention and control ability, and information release and public opinion response ability. Results The composite scores of the prevention and control effects of the Xinfadi, Shunyi, Daxing, and Ejina Banner–associated COVID-19 outbreaks in Beijing were 62, 82, 87, and 76, respectively. In the six dimensions, the epidemic prevention and control effect, discovery and detection ability, precision prevention and control capability, and public protection effect scores for the Xinfadi outbreak were lower than those for the Shunyi, Daxing and Ejina Banner–associated outbreaks. The medical treatment and nosocomial infection prevention and control ability scores for the outbreak associated with Ejina Banner were lower than those for the Xinfadi, Shunyi, and Daxing outbreaks. Conclusion In managing cluster outbreaks, Beijing was able to detect index cases early enough to reduce the scale and duration of the outbreak and consistently release official information to reduce public panic, standardize the management of centralized quarantine sites to prevent cross-infection, adhere to the " dynamic COVID‐zero" strategy to accurately prevent and control outbreaks, reduce the societal influence of the pandemic, and coordinate the epidemic prevention and control and socio-economic development. Graphical abstract Image, graphical abstract
Project description:AbstractTo provide references for global pandemic prevention and control, this study aimed to analyze the epidemiological characteristics and clinical manifestations of 103 new confirmed cases between June 12 and June 15, 2020, in Beijing. All confirmed cases in this study were tested with a positive SARS-CoV-2 reverse transcriptase-polymerase chain reaction and extracting data from the Beijing Municipal Health Commission (June 11 to July 6, 2020). We selected the 103 typical confirmed cases (excluding imported cases) between June 12 and June 15 for statistical analysis and explored differences among different clinical cases. A cluster of COVID-19 was reported in Beijing between June 12 and June 15, 2020, involving 103 confirmed cases. Patients aged 21 to 65 years old and the mean age was 42.38 ± 11.507, the male-to-female sex ratio was 1.40:1. All confirmed cases had a direct or indirect exposure history in the Beijing Xinfadi Market (BXM), and the clinical manifestations of 97% confirmed cases was diagnosed as mild or moderate. Different clinical classification in age (P = .041), exposure history (P = .025), fever (P = .020), and cough (P = .000) were the statistically significant difference, but there was no statistically significant difference in gender (P = .501), the type of diagnosis (P = .478), expectoration (P = .979), fatigue (P = .906), dizziness or headache (P = .848), muscle pain (P = .825), sore throat or throat discomfort (P = .852), chills (P = .933), diarrhea (P = .431) and runny nose or nasal congestion (P = .898). This study shows that Beijing's epidemic scope was mainly concentrated in the Xinfadi Market. The initial cases were epidemiologically related to the BXM, the clinical classification of most cases was mild and moderate, and the differences in age, exposure history, fever, and cough among different clinical cases were statistically significant.
Project description:It has been over 2 months since the start of the Coronavirus disease 2019 (COVID-19) outbreak. The epidemic stage of COVID-19 has brought great challenges to the diagnosis and management of colorectal cancer (CRC) patients. Symptoms, such as fever and cough caused by cancer, and the therapeutic process (including chemotherapy and surgery) should be differentiated from some COVID-19 related characteristics. Besides, clinical workers should not only consider the therapeutic strategy for cancer, but also emphasize COVID-19’s prevention. Moreover, the detailed therapeutic regimens of CRC patients may be different from the usual. Also, treatment principles may various for CRC patients with or without severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, as well as patients with or without an emergency presentation. In this paper, we want to discuss the above-mentioned problems based on previous guidelines, the current working status and our experiences, to provide a reference for medical personnel.
Project description:Background:Epidemic thunderstorm asthma (ETSA) severely affected Melbourne, Australia in November 2016. There is scant literature on the natural history of individuals affected by ETSA. Objective:A multicentre 12-month prospective observational study was conducted assessing symptomatology and behaviors of ETSA-affected individuals. Methods:We used a structured phone questionnaire to assess asthma symptom frequency, inhaled preventer use, asthma action plan ownership and healthcare utilization over 12 months since the ETSA. Analysis of results included subgroup analyses of the "current," "past," "probable," and "no asthma" subgroups defined according to their original 2016 survey responses. Results:Four hundred forty-two questionnaires were analyzed. Eighty percent of individuals reported ongoing asthma symptoms at follow-up, of which 28% were affected by asthma symptoms at least once a week. Risk of persistent asthma symptoms was significantly higher in those with prior asthma diagnosis, current asthma, and probable undiagnosed asthma (all p < 0.01). Of 442 respondents, 53% were prescribed inhaled preventers, of which 51% were adherent at least 5 days a week. Forty-two percent had a written asthma action plan and 16% had sought urgent medical attention for asthma in the preceding year. Conclusions:Following an episode of ETSA, patients experience a pivotal change in asthma trajectory with both loss of asthma control and persistence of de novo asthma. Suboptimal rates of inhaled preventer adherence and asthma action plan ownership may contribute to asthma exacerbation risk and susceptibility to future ETSA episodes. Longer-term follow-up is needed to determine the extent and severity of this apparent change.
Project description:Healthcare management and COVID-19 has been broadly studied during the recent few days, especially after declaration of the COVID-19 outbreak in almost all countries in the world. Therefore, the present research article aims to provide an extensive overview of the scientific literature about the study of healthcare management and COVID-19 for choosing the new topic of related research. It conducts four types of analyses where the first analysis is a trend analysis and other three analyses are related to network and density maps. The second analysis is analyzed decisively in order to produce all keywords, author keywords and index keywords co-occurrence network map and country co-authorship network map and tables summarizing the significant scientific trends under the present topics. The third analysis is analyzed purposefully in order to produce all documents, journals, authors and countries bibliographic coupling network maps and tables summarizing the significant scientific trends. The last analysis provides valuable approaching of the most significant used keywords on the research topic and the links among them using keyword co-occurrence network and density maps respectively. Supplementary Information The online version contains supplementary material available at 10.1007/s12597-022-00576-2.
Project description:Background:In India, the SARS-CoV-2 COVID-19 epidemic has grown to 1251 cases and 32 deaths as on 30 Mar 2020. The healthcare impact of the epidemic in India was studied using a stochastic mathematical model. Methods:A compartmental SEIR model was developed, in which the flow of individuals through compartments is modeled using a set of differential equations. Different scenarios were modeled with 1000 runs of Monte Carlo simulation each using MATLAB. Hospitalization, intensive care unit (ICU) requirements, and deaths were modeled on SimVoi software. The impact of nonpharmacological interventions (NPIs) including social distancing and lockdown on checking the epidemic was estimated. Results:Uninterrupted epidemic in India would have resulted in more than 364 million cases and 1.56 million deaths with peak by mid-July. As per the model, at current growth rate of 1.15, India is likely to reach approximately 3 million cases by 25 May, implying 125,455 (±18,034) hospitalizations, 26,130 (±3298) ICU admissions, and 13,447 (±1819) deaths. This would overwhelm India's healthcare system. The model shows that with immediate institution of NPIs, the epidemic might still be checked by mid-April 2020. It would then result in 241,974 (±33,735) total infections, 10,214 (±1649) hospitalizations, 2121 (±334) ICU admissions, and 1081 (±169) deaths. Conclusion:At the current growth rate of epidemic, India's healthcare resources will be overwhelmed by the end of May. With the immediate institution of NPIs, total cases, hospitalizations, ICU requirements, and deaths can be reduced by almost 90%.