SARS-CoV-2 RNA detection on environmental surfaces in COVID-19 wards.

This study monitored the presence of SARS-Cov-2 RNA on environmental surfaces in hospital wards housing patients with mild, severe, and convalescent Coronavirus Disease 2019 (COVID-19), respectively. From 29 October to 4 December 2021, a total of 787 surface samples were randomly collected from a General Ward, Intensive Care Unit, and Convalescent Ward at a designated hospital for COVID-19 patients in China. All of the samples were used for SARS-Cov-2 detection. Descriptive statistics were generated and differences in the positivity rates between the wards were analyzed using Fisher's exact tests, Yates chi-squared tests, and Pearson's chi-squared tests. During the study period, 787 surface samples were collected, among which, 46 were positive for SARS-Cov-2 RNA (5.8%). The positivity rate of the contaminated area in the Intensive Care Unit was higher than that of the General Ward (23.5% vs. 10.4%, P<0.05). The positivity rate of the semi-contaminated area in the Intensive Care Unit (4.5%) was higher than that of the General Ward (1.5%), but this difference was not statistically significant (P>0.05). In the clean area, only one sample was positive in the Intensive Care Unit (0.5%). None of the samples were positive in the Convalescent Ward. These findings reveal that the SARS-Cov-2 RNA environmental pollution in the Intensive Care Unit was more serious than that in the General Ward, while the pollution in the Convalescent Ward was the lowest. Strict disinfection measures, personal protection, and hand hygiene are necessary to limit the spread of SARS-Cov-2.

COVID-19 with rheumatic diseases: a report of 5 cases.

The coronavirus disease 2019 (COVID-19), the result of an infection with the new virus, SARS-CoV-2, is rapidly spreading worldwide. It is largely unknown whether the occurrence of COVID-19 in patients with rheumatic immune diseases has some specific manifestations, or makes them more prone to rapidly progress into severe COVID-19. In this case report, we describe the clinical features of 5 rheumatic immune disease patients with the concomitant presence of COVID-19. Amongst these patients, 4 had rheumatoid arthritis (RA) and 1 had systemic sclerosis (SSc). Two patients had a history of close contact with a COVID-19 patient. The age of the patients ranged between 51 and 79 years. Fever (80%), cough (80%), dyspnea (40%), and fatigue (20%) were the most common presenting symptoms. Laboratory investigations revealed leukopenia and lymphopenia in 2 patients. In all the patients, chest computerized tomography (CT) revealed patchy ground glass opacities in the lungs. During the hospital stay, the condition of two patients remained the same (i.e., mild COVID-19), two patients progressed to the severe COVID-19, and one patient worsened to the critically ill COVID-19. These patients were treated with antiviral agents for COVID-19, antibiotics for secondary bacterial infections, and immunomodulatory agents for rheumatic immune diseases. All the patients responded well, were cured of COVID-19, and subsequently discharged.

Study on the Spatial Differentiation Characteristics and Influencing Factors of China's Economic Resilience under Different Shocks

Recognizing regional economic resilience and its influencing factors under different shocks is necessary to promote stable regional economic development. The article analyzes the regional economic resilience of 31 Chinese provinces under three kinds of shocks, namely, financial crisis, economic downturn, and COVID-19, in terms of the resistance of regional economies to shocks, and examines spatial distribution and main influencing factors. The results of the study found that: (1) The characteristics of regional economic resilience under different shocks are different. During the financial crisis, the strong resilient provinces are distributed in the central and western and northern regions;during the economic downturn, the strong resilient provinces are mainly distributed in the western and central regions;during COVID-19, the strong resilient provinces are mainly distributed in the western and eastern coastal regions. The economic resilience of each province shows significant "high-high" and "low-low" spatial clustering characteristics during the economic downturn and the COVID-19. (2) The main influencing factors of economic resilience in different shocks are different. In the financial crisis, the magnitude of the contribution of the influencing factor is leading industry (0.283) >related diversity (0.197) >foreign trade dependence (0.190);during the economic downturn, the magnitude of the contribution of the influencing factor is population density (0.464) >leading industry (0.427) >related diversity (0.285);the magnitude of the contribution of the impact factor during the COVID-19 was related diversity (0.282) >unrelated diversity (0.274) >leading industry (0.272). (3) In the interaction of impact factors, the strongest explanatory power is found in related diversity, unrelated diversity, and leading industries, which represent the industrial structure. Therefore, there is a need to adjust the industrial structure and improve the regional economic resilience from the shock itself.

Analysis of clinical features and pulmonary CT features of coronavirus disease 2019 (COVID-19) patients with diabetes mellitus.

INTRODUCTION: The objective of this paper was to investigate the clinical features and pulmonary CT imaging features of COVID-19 patients with diabetes mellitus. MATERIAL AND METHODS: From January 16, 2020 to March 28, 2020, among the 568 cases of COVID-19 patients diagnosed in Xiaogan Central Hospital, 64 cases of COVID-19 patients with diabetes were selected as the diabetic group, and 64 cases of COVID-19 patients with age and gender matching without diabetes were selected as the non-diabetic group, and their clinical data and pulmonary CT characteristics were retrospectively analysed. RESULTS: Compared with the non-diabetic group, the proportion of patients in the diabetic group with chronic underlying disease was higher, and they were in more a serious condition at admission. Inflammation index and characteristics of glycolipid metabolism results showed that COVID-19 patients with diabetes mellitus were more likely to have elevated inflammatory markers and hypercoagulability, accompanied by hypoproteinaemia and glucose and lipid metabolism disorders. Treatment and clinic outcome results showed that the time of nucleic acid turning negative in the diabetic group was significantly longer than that in the non-diabetic group. Radiological data showed that COVID-19 combined with diabetes prolonged the time of detoxification in patients. CONCLUSION: COVID-19 patients with diabetes mellitus and chronic hypertension are associated with increased inflammatory markers and disorders of glucose and lipid metabolism. These patients tend to develop serious diseases, especially the rapid progression of CT lesions in the lungs of patients with a wide range ofinvolvement, and prolonged absorption and detoxification time.