Information Visualization Technology and Mathematical Statistics Applied in the Research on Spatiotemporal Clustering and Changing of COVID-19

To analyze the epidemiological and distribution characteristics of COVID-19 in the United States from 2020.1 to 2021.8, which can provide scientific basis for the formulation of epidemic prevention measures. The incidence data of COVID-19 epidemic from 2020.1-2021.8 in the United States were collected for analysis, the spatial autocorrelation was analyzed by using Geoda 1.18.0, SaTScan 10.0 was used to conduct spatial scan statistics, and ArcGIS 10.4 were used to visualize. As of August 26, 2021, the epidemic in the United States is still in a state of high-speed transmission, and the number of cases is concentrated from November 2020 to February 2021 and August 2021;From the perspective of global spatial autocorrelation, COVID-19 in the United States has a high spatial aggregation, and the geographical spatial adjacency of each region has the greatest influence on the intensity of disease aggregation. According to the local spatial self-analysis, most of the agglomerations were in high-high and low-low clusters, and the high-high cluster states showed a patchy distribution, and experienced an increase-decrease-increase in number. According to the spatio-temporal scanning statistics, there were four clusters, of which the first cluster was located in the southeastern United States. In terms of t the mean center of infection, the epidemic moved greatly in the early stage and stabilized in the southeastern part of the United States in the later stage. COVID-19 in the United States has strong aggregation and changes over time. The focus of prevention and control is the southeast of the United States, and the focus of prevention and control is to reduce the population movement of adjacent states. © 2022 IEEE.

A Patient with Concurrent Legionella and COVID-19 Infection in a UK District General Hospital.

A 65 year-old gentleman had been brought to our Respiratory Emergency Department for patients with respiratory symptoms and a possible COVID-19 infection with a 3-day history of shortness of breath (SOB), fever, a productive cough of yellow sputum, and right-sided chest pain. The patient had received both vaccinations at the time and initially reported no travel history, although later it was revealed that he had recently stayed at a hotel. He tested positive for COVID-19 and had hyponatremia and a raised procalcitonin, indicating a bacterial infection as well. He had been initiated on our local treatment guidelines for COVID with antibiotics, guided by local hospital guidelines. An atypical pneumonia screen returned a positive result for Legionella urine antigen, and his antibiotic regime was changed accordingly. Our patient deteriorated significantly, and despite being escalated to our intensive care unit (ICU), he unfortunately passed away. Our case highlights the importance of early ICU involvement and escalation of antibiotics in cases of suspected concurrent Legionella and COVID-19 infections.

Relationships between Burnout, Resilience, and Self-Care among Marriage and Family Counsellors in Malaysia

The psychological impact on marriage and family counsellors during the outbreak of COVID-19 pandemic is an important deliberation. This study aimed to examine the relationships between burnout, resilience, and self-care among marriage and family counsellors in Malaysia. A total of 96 marriage and family counsellors in Malaysia were selected by using simple random sampling technique to participate in the present study. Data were collected by using three self-report instruments to measure the burnout, resilience and self-care. The findings demonstrated significant relationships between the constructs in which burnout and resilience as well as burnout and self-care were negatively correlated. Self-care and resilience were positively correlated. Multiple regression analysis revealed that burnout could not be significantly predicted by self-care and resilience. Findings of the study implied that emphasis must be given to burnout, resilience, and self-care and among marriage and family counsellors to enhance their personal and professional development.

Perioperative management experience of patients undergoing microsurgery for ruptured intracranial aneurysms during the coronavirus disease 2019 epidemic

Objective To share the perioperative management experience of patients under microsurgical treatment of ruptured intracranial aneurysms in cerebrovascular disease center during the coronavirus disease 2019 (COVID-19) epidemic. Methods A total of 22 patients with ruptured aneurysms admitted in the Department of Neurosurgery, Shiyan Taihe Hospital from January 19 th, 2020 to February 28th, 2020, were recruited retrospectively. The management experience, including pre-hospital referral, admission examination, preoperative evaluation, surgical strategy, and postoperative management was summarized. All patients were managed according to strict procedures. The therapeutic effect of patients and the protective effect of medical staff were analyzed. Results Among the 22 patients with ruptured aneurysms, there was no patient confirmed COVID-19 but 2 patients suspected COVID-19. At the time of discharge, modified Rankin scale score was 0 to 1 in 17 cases, 2 points in 4 cases, and 4 points in 1 case. There was no fatal case. No patient developed nosocomial infection, and none of the medical staff involved in patient management were infected with COVID-19. Conclusions During the COVID-19 epidemic, a complete management process for patients with ruptured aneurysms can provide timely and effective treatment, and maximize the safety of medical staff at the same time. The current article provides a reference for the management of critically cerebrovascular patients, including patients with ruptured intracranial aneurysms.

Coronavirus disease 2019 epidemic trend prediction based on improved infectious disease dynamics susceptible-exposed-infected-recovered (SEIR) model

Objective To predict the coronavirus disease 2019 (COVID-19) epidemic situation based on the infectious disease dynamics susceptible-exposed-infected-recovered (SEIR) model, so as to provide guidance for effective control of the epidemic. Methods Python crawler automatic update function was used to collect the epidemic data released by the National Health Commission of China. An improved infectious disease dynamics SEIR model, which can automatically correct the COVID-19 basic reproductive number (R0), was constructed to predict the development trend of COVID-19 epidemic in Hubei Province of China and South Korea. Results The peak of the COVID-19 epidemic in Hubei Province of China predicted by the model would appear on Feb. 21, 2020. The number of confirmed COVID-19 cases would be about 50 000 on Feb. 19 and would fall to below 30 000 on Mar. 4, and the epidemic would end on May 10. According to the actual data released by the National Health Commission of China, the peak number of confirmed COVID-19 patients was 53 371. The model predicted that an epidemic peak in South Korea would be on Mar. 7, and would end at the end of April. Conclusion This improved infectious disease dynamics SEIR model established in the early stage of COVID-19 epidemic has achieved relatively accurate prediction. The timely and effective intervention by relevant government departments has significantly affected the development of the epidemic. The epidemic situation in other countries in East Asia, such as South Korea, is still on the rise in March, suggesting that China needs to be on guard against the risk of imported epidemic.