Lack of regular physical activity and adequate sleep are risk factors for musculoskeletal pain in medical college students - a cross-sectional study (preprint)

Background During January-May 2020, novel coronavirus outbreak occurred in East China, and many medical college students, implemented a home protection policy, resulting in significant changes in their physical activity and lifestyle habits. This work aims to analyze the effects of usual physical activity habits, changes in physical activity and lifestyle habits during home protection on the occurrence of musculoskeletal pain from multiple perspectives, and to provide new clues for the search of risk factors for musculoskeletal pain and alternative solutions for the prevention.Methods A cross-sectional study was conducted using questionnaires from 900 randomly selected medical students who had taken home protection between January and May 2020 from four medical universities in East China. Participants completed surveys on socio-demographic characteristics, days of home protection, physical activity in daily life, changes in physical activity during home protection, and daily routine, and reported the location of musculoskeletal pain during home protection. Pain was assessed using Visual Analogue Scale (VAS) scores, and considered to be present if the VAS score > 0. The questionnaire data were double-checked and entered into Epi Data 3.0 to create a database, and SPSS 19.0 was used for statistical analysis. The correlation between measures and musculoskeletal pain was determined using the Mann-Whitney U test, and the correlation between categorical variables and musculoskeletal pain was determined using the chi-square test, and multi-factor logistic regression analysis was used to remove confounding factors and screen for risk factors. The test level was set at α = 0.05.Results The prevalence of musculoskeletal pain during home protection was 40.2% (n = 345; 95% CI 36.9%-43.4%). Multi-factor logistic regression analysis revealed that the females (OR 1.391; 95% CI 1.006–1.922), irregular physical activity in daily life (OR 1.648; 95% CI 1.157–2.347), and less than 6 hours of sleep per day during home protection (OR 1.474; 95% CI 1.020–2.131) were found to be risk factors for musculoskeletal pain.Conclusions Female medical students should pay more attention to the prevention of musculoskeletal pain; regular physical activity in daily life and sufficient sleep time may prevent the occurrence of musculoskeletal pain.

The impact of COVID-19 on museums in the digital era: Practices and challenges in Hong Kong

PurposeDuring the coronavirus disease 2019 (COVID-19) pandemic, museums, as public gathering places for citizens, have encountered unprecedented difficulties due to limitations to operate as usual for their traditional exhibitions and curations. Thus, museums made corresponding emergency attempts to accelerate digital resource and service platform constructions. Such difficulties aroused many potential problems with the applicability of electronic resources and the mismatch between user expectations and museum services. This study investigates the challenges faced by Hong Kong museums under COVID-19, emergency responses and deliberate practices of Hong Kong museums from the perspective of both museum staff and visitors, and COVID-19's influence on the roles and functions of Hong Kong museums.Design/methodology/approachQualitative interviews with museum staff and visitors were conducted to collect opinions and experiences in the construction and maintenance of museums during the pandemic. Further thematic analyses of museum websites, evaluations, and suggestions were formulated guided by the PEST (Political, Economic, Social, Technological) and AIDA (Attention, Interest, Desire, Action) models.FindingsFindings revealed many online interactions and offline renovations, but the perceptions of visitors and staff differed considerably. While online resources and virtual museums were expanded and well received, long-term prohibitions and repressions drove physical visit desire. Participants emphasized finding a balance between user expectations and realistic practices.Originality/valueScant studies focus on the impact of COVID-19 on the cultural industry, especially in East Asia. This study also highlights new practices of digitalization and the challenges of functional transformation. The authors' findings and suggestions provide hints to optimize the curation of information resources and improve museum service quality in the new digital era. This study also serves as a reliable and meaningful record of COVID-19 impacts on Hong Kong museums.

Cohort study of fever neonates with confirmed community infection of SARS-CoV-2 Omicron: A study Protocol (preprint)

Introduction:Reports on neonatal coronavirus disease (COVID) have been focused on vertical transmission. There was little information on prevalence of neonates with COVID till up to 18 months of age. It is well known that breastfeeding is beneficial for the growth and development of infants. We hypothesized that breastfeeding will be beneficial for a better prevalence of neonatal COVID. The objective of this study is to explore the prognosis of fever neonates with confirmed community infection of SARS-CoV-2 Omicron, and to clarify whether human milk breastfeeding is beneficial for reducing the rate of severe SARS-CoV-2 Omicron infection in neonates. Methods and analysis:This is a prospective single centre cohort study. Study period is from December, 2022 to December 2024. Inclusion criteria are: (1) Age less than 28 days or corrected age less than 44 weeks. (2) Fever. (3) Both tests (throat swab) of nucleic acid and antigen of SARS-CoV-2 Omicron were positive. (4) Parents signed the consents. Exclusion criteria is confirmed brain malformations. Patients will be classified into breastfeeding, mixed feeding, and formula feeding groups. The estimate sample size will be 200. The throat swab of infants will be collected for SARS-CoV-2 omicron nucleic acid ad antigen examination. Neonatal COIVD patients will be treated in the Out-Patient Department or admitted to Neonatal Intensive Care Unit according to the severity of infection. All patients will be followed at 3/6/12/18M of age. The endpoint to study was at 18 months of age. Data will be collected by Case Record Form and Electronic Data Capture from the History of In-hospital System. The primary outcome was the rate of severe SARS-CoV-2 infection. SPSS 20.0 software will used for statistical analysis. Ethics and dissemination: It is approved by local Institute of Ethics Review Board (#[2022]-E-240-Y). Registration: It is registered in the Chinese Clinical Trail Registry (http://www.chictr.org.cn) (ChiCTR2200067148)

Research progress on influence of environmental and meteorological parameters on transmission of coronavirus disease 2019

Novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) is spreading rapidly around the world and has become a global pandemic. Meteorological factors have been recognized as one of the critical factors that influence the epidemiology and transmission of infectious diseases. In this context, the World Meteorological Organization and scholars at home and abroad have paid extensive attention to the relationships of environment and meteorology with COVID-19. This paper systematically collected and sorted out relevant domestic and foreign studies, and reviewed the latest research progress on the impact of environmental and meteorological factors on COVID-19, classifying them into typical meteorological factors (such as temperature, humidity, and wind speed), local environmental factors (such as indoor enclosed environment, ventilation, disinfection, and air conditioning), and air pollution. Current research evidence suggests that typical meteorological factors, local environmental factors, and air pollutants are closely related to the transmission of COVID-19. However, the results of different studies are still divergent due to uncertainty about the influencing mechanism, and differences in research areas and methods. This review elucidated the importance of environmental and meteorological factors to the spread of COVID-19, and provided useful implications for the control of further large-scale transmission of COVID-19 and the development of prevention and control strategies under different environmental and meteorological conditions.

Factors associated with a SARS-CoV-2 recurrence after hospital discharge among patients with COVID-19: systematic review and meta-analysis.

BACKGROUND: The proportion of recurrences after discharge among patients with coronavirus disease 2019 (COVID-19) was reported to be between 9.1% and 31.0%. Little is known about this issue, however, so we performed a meta-analysis to summarize the demographical, clinical, and laboratorial characteristics of non-recurrence and recurrence groups. METHODS: Comprehensive searches were conducted using eight electronic databases. Data regarding the demographic, clinical, and laboratorial characteristics of both recurrence and non-recurrence groups were extracted, and quantitative and qualitative analyses were conducted. RESULTS: Ten studies involving 2071 COVID-19 cases were included in this analysis. The proportion of recurrence cases involving patients with COVID-19 was 17.65% (between 12.38% and 25.16%) while older patients were more likely to experience recurrence (weighted mean difference (WMD)=1.67, range between 0.08 and 3.26). The time from discharge to recurrence was 13.38 d (between 12.08 and 14.69 d). Patients were categorized as having moderate severity (odds ratio (OR)=2.69, range between 1.30 and 5.58), while those with clinical symptoms including cough (OR=5.52, range between 3.18 and 9.60), sputum production (OR=5.10, range between 2.60 and 9.97), headache (OR=3.57, range between 1.36 and 9.35), and dizziness (OR=3.17, range between 1.12 and 8.96) were more likely to be associated with recurrence. Patients presenting with bilateral pulmonary infiltration and decreased leucocyte, platelet, and CD4+ T counts were at risk of COVID-19 recurrence (OR=1.71, range between 1.07 and 2.75; WMD=-1.06, range between -1.55 and -0.57, WMD=-40.39, range between -80.20 and -0.48, and WMD=-55.26, range between -105.92 and -4.60, respectively). CONCLUSIONS: The main factors associated with the recurrence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) after hospital discharge were older age, moderate severity, bilateral pulmonary infiltration, laboratory findings including decreased leucocytes, platelets, and CD4+ T counts, and clinical symptoms including cough, sputum production, headache, and dizziness. These factors can be considered warning indicators for the recurrence of SARS-CoV-2 and might help the development of specific management strategies.

Spatial-temporal distribution of coronavirus disease 2019 in Jingzhou City

Objective • To explore the spatial distribution and spatial-temporal clustering of coronavirus disease 2019(COVID-19) in Jingzhou City. Methods • Data of COVID-19 cases in Jingzhou City from January 1 to March 12, 2020 were collected. Trend surface analysis, spatial autocorrelation and spatial-temporal scanning analysis were conducted to understand the spatial-temporal distribution of COVID-19 at town (street) level in Jingzhou City, and the spatial-temporal clustering characteristics of local cases and imported cases were compared. Results • Trend surface analysis showed that the incidence rate of COVID-19 in Jingzhou City was slightly "U" from west to east, slightly higher in the east, and inverted "U" from south to north, slightly higher in the south. Global autocorrelation showed that the incidence rate of COVID-19 in Jingzhou City was positively correlated (Moran's I=0.410, P=0.000). Local spatial autocorrelation analysis showed that the highly clustered areas and hot spot areas were mainly in Shashi District, Jingzhou District and the main urban area of Honghu City (Xindi Street) (P<0.05). Five clusters were found by spatial-temporal scanning of imported cases. The cluster time of the main cluster was from January 18 to February 3, 2020, and it was centered on Lianhe Street, covering 15 towns (streets) in Shashi District and Jingzhou District (LLR=174.944, RR=7.395, P=0.000). Five clusters were found by spatial-temporal scanning of local cases. The cluster time of the main cluster was from January 20 to February 24, 2020, which was located in Xindi Street, Honghu City (LLR=224.434, RR=16.133, P=0.000). Conclusion • Obvious spatialtemporal clustering of COVID-19 was found in Jingzhou City, and Shashi District, Jingzhou District and Honghu City were the most prevalent areas.

Flow in the Time of COVID-19: Findings from China (preprint)

In February 2020, the Novel Coronavirus (COVID-19) was raging in Wuhan, China and quickly spreading to the rest of the world. This period was fraught with uncertainty for those in the affected areas. The present investigation examined the role of two potential coping resources during this stressful period of uncertainty: flow and mindfulness. Participants in Wuhan and other major cities affected by COVID-19 (N = 5115) completed an online survey assessing experiences of flow, mindfulness, and well-being. Longer quarantine was associated with poorer well-being; flow and mindfulness predicted better well-being on some measures. However, flow—but not mindfulness—moderated the link between quarantine length and well-being, such that people who experienced high levels flow showed little or no association between quarantine length and poorer well-being. These findings suggest that engaging in flow-inducing activities may be a particularly effective way to protect against the deleterious effects of a period of quarantine.