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We combined smartphone mobility data with census track-based reports of positive case counts to study a coronavirus disease 2019 (COVID-19) outbreak at the University of Wisconsin–Madison campus, where nearly 3000 students had become infected by the end of September 2020. We identified a cluster of twenty bars located at the epicentre of the outbreak, in close proximity to campus residence halls. Smartphones originating from the two hardest-hit residence halls (Sellery-Witte), where about one in five students were infected, were 2.95 times more likely to visit the 20-bar cluster than smartphones originating in two more distant, less affected residence halls (Ogg-Smith). By contrast, smartphones from Sellery-Witte were only 1.55 times more likely than those from Ogg-Smith to visit a group of 68 restaurants in the same area [rate ratio 1.91, 95% confidence interval (CI) 1.29–2.85, P < 0.001]. We also determined the per-capita rates of visitation to the 20-bar cluster and to the 68-restaurant comparison group by smartphones originating in each of 21 census tracts in the university area. In a multivariate instrumental variables regression, the visitation rate to the bar cluster was a significant determinant of the per-capita incidence of positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests in each census tract (elasticity 0.88, 95% CI 0.08–1.68, P = 0.032), while the restaurant visitation rate showed no such relationship. The potential super-spreader effects of clusters or networks of places, rather than individual sites, require further attention.
To assess the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infections (HAIs) reported from 128 acute-care and 132 long-term care Veterans Affairs (VA) facilities.
Methods:
We compared central-line–associated bloodstream infections (CLABSIs), ventilator-associated events (VAEs), catheter-associated urinary tract infections (CAUTIs), methicillin-resistant Staphylococcus aureus (MRSA), and Clostridioides difficile infections and rates reported from each facility monthly to a centralized database before the pandemic (February 2019 through January 2020) and during the pandemic (July 2020 through June 2021).
Results:
Nationwide VA COVID-19 admissions peaked in January 2021. Significant increases in the rates of CLABSIs, VAEs, and MRSA all-site HAIs (but not MRSA CLABSIs) were observed during the pandemic in acute-care facilities. There was no significant change in CAUTI rates, and C. difficile rates significantly decreased. There were no significant increases in HAIs in long-term care facilities.
Conclusions:
The COVID-19 pandemic had a differential impact on HAIs of various types in VA acute care, with many rates increasing. The decrease in CDI HAIs may be due, in part, to evolving diagnostic testing. The minimal impact of COVID-19 in VA long-term facilities may reflect differences in patient numbers and acuity and early recognition of the impact of the pandemic on nursing home residents leading to increased vigilance and optimization of infection prevention and control practices in that setting. These data support the need for building and sustaining conventional infection prevention and control strategies before and during a pandemic.
The purpose of the current study was to cross-culturally adapt and validate an online questionnaire to assess eating habits and physical activity of university students under confinement due to coronavirus disease (COVID-19).
Design:
Generation of a cross-sectional online survey to university students conducted during confinement due to COVID-19. The study was divided into two phases.
Settings:
Students, Chile.
Participants:
Phase 1 considered the process of translation and back translation, expert panel, cultural adaptation and the generation of a pilot to validate a preliminary format of the questionnaire. In Phase 2, information from the instrument was collected from two hundred and sixty-eight university students, ages 16 to 30 years old, with a mean age of 21·6 (3·3) The major proportion of participants were female (82 %).
Results:
The adapted questionnaire was statistically validated in three dimensions: (A) eating habits and behaviours during quarantine, (B) perception of risk and (C) physical activity changes during the quarantine. The reliability of Cronbach’s α for dimensions A, B and C was 0·59, 0·85 and 0·97, respectively. The complete questionnaire obtained 0·61 in internal consistency and 0·61 (0·58–0·67) ICC reliability. A statistically significant positive correlation matrix was observed.
Conclusions:
This questionnaire is a practical tool to obtain accurate information about the relation of COVID-19 confinement on people’s eating habits and physical activity. Therefore, it could contribute to establishing appropriate strategies to prevent negative effects on people’s health.
This study, which aims to reveal the metaphorical perceptions of social media users regarding the term, COVID-19, is in accordance with the phenomenological method.
Method:
The phenomenological method was used in this study. In July 2020, a total of 125 social media users voluntarily participated in this research study and were asked to derive metaphors regarding the concept of COVID-19.
Results:
With the participation of social media users, metaphors about COVID-19 were determined. These metaphors, which were provided completely voluntarily in response to social media posts, reveals that the participants approached the COVID-19 phenomenon with a variety of meanings.
Conclusions:
When the metaphors derived by the participants are examined through different categories, it can be seen that a variety of metaphors are produced and almost all of them attribute negative meanings to COVID-19. A significant part of the metaphors evoke disasters and unexpected events. The absence of more hopeful metaphors regarding the end of the pandemic, may stem from the fact that this study took place during the middle of the pandemic, when discussions of the “new normal” were being made just after the first wave.
Northern Nigeria is currently facing a twin crisis of both coronavirus disease 2019 (COVID-19) and insecurity. They have made it difficult for the people to follow government containment efforts to control the pandemic and also have impacted on the socioeconomic and health aspects of the society. We have discussed on the impact of insecurity amid COVID-19 in Northern Nigeria. It is opined that, if the insecurity in Northern Nigeria is not tackled, it will expose the region to more escalation of cases and deaths. Thus, it is recommended that proactive steps should be implemented by all stakeholders concerned to tackle insecurity, particularly the government to revive the security architecture, provide an environment for training and retraining of all security personnel and enhancing intelligence gathering to pave the way for resolving this issue.
We investigated real-world vaccine effectiveness for Oxford-AstraZeneca (ChAdOx1) and CoronaVac against laboratory-confirmed severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection among healthcare workers (HCWs).
Methods:
We conducted a retrospective cohort study among HCWs (aged ≥18 years) working in a private healthcare system in Brazil between January 1, 2021 and August 3, 2021, to assess vaccine effectiveness. We calculated vaccine effectiveness as 1 − rate ratio (RR), with RR determined by adjusting Poisson models with the occurrence of SARS-CoV-2 infection as the outcome and the vaccination status as the main variable. We used the logarithmic link function and simple models adjusting for sex, age, and job types.
Results:
In total, 13,813 HCWs met the inclusion criteria for this analysis. Among them, 6,385 (46.2%) received the CoronaVac vaccine, 5,916 (42.8%) received the ChAdOx1 vaccine, and 1,512 (11.0%) were not vaccinated. Overall, COVID-19 occurred in 6% of unvaccinated HCWs, 3% of HCWs who received 2 doses of CoronaVac vaccine, and 0.7% of HCWs who received 2 doses of ChAdOx1 vaccine (P < .001). In the adjusted analyses, the estimated vaccine effectiveness rates were 51.3% for CoronaVac, and 88.1% for ChAdOx1 vaccine. Both vaccines reduced the number of hospitalizations, the length of hospital stay, and the need for mechanical ventilation. In addition, 19 SARS-CoV-2 samples from 19 HCWs were screened for mutations of interest. Of 19 samples, 18 were the γ (gamma) variant.
Conclusions:
Although both COVID-19 vaccines (viral vector and inactivated virus) can significantly prevent COVID-19 among HCWs, CoronaVac was much less effective. The COVID-19 vaccines were also effective against the dominant γ variant.
A comparison of computer-extracted and facility-reported counts of hospitalized coronavirus disease 2019 (COVID-19) patients for public health reporting at 36 hospitals revealed 42% of days with matching counts between the data sources. Miscategorization of suspect cases was a primary driver of discordance. Clear reporting definitions and data validation facilitate emerging disease surveillance.
Big data has been reported widely to facilitate epidemic prevention and control in health care during the coronavirus disease 2019 (COVID-19) pandemic. However, there is still a lack of practical experience in applying it to hospital prevention and control. This study is devoted to the practical experience of design and implementation as well as the preliminary results of an innovative big data-driven COVID-19 risk personnel screening management system in a hospital. Our screening system integrates data sources in four dimensions, which includes Health Quick Response (QR) code, abroad travelling history, transportation close contact personnel and key surveillance personnel. Its screening targets cover all patients, care partner and staff who come to the hospital. As of November 2021, nearly 690 000 people and 5.79 million person-time had used automated COVID-19 risk screening and monitoring. A total of 10 376 person-time (0.18%) with abnormal QR code were identified, 242 person-time with abroad travelling history were identified, 925 person-time were marked based on the data of key surveillance personnel, no transportation history personnel been reported and no COVID-19 nosocomial infection occurred in the hospital. Through the application of this system, the hospital's expenditure on manpower and material resources for epidemic prevention and control has also been significantly reduced. Collectively, this study has proved to be an effective and efficient model for the use of digital health technology in response to the COVID-19 pandemic. Based on the data from multiple sources, this system has an irreplaceable role in identifying close contacts or suspicious person, and can significantly reduce the social burden caused by COVID-19, especially the human resources and economic costs of hospital prevention and control. It may provide guidance for clinical epidemic prevention and control in hospitals, as well as for future public health emergencies.
Lockdown during the pandemic has had significant impacts on public mental health. Previous studies suggest an increase in self-harm and suicide in children and adolescents. There has been little research on the roles of stringent lockdown.
Aims
To investigate the mediating and predictive roles of lockdown policy stringency measures in self-harm and emergency psychiatric presentations.
Method
This was a retrospective cohort study. We analysed data of 2073 psychiatric emergency presentations of children and adolescents from 23 hospital catchment areas in ten countries, in March to April 2019 and 2020.
Results
Lockdown measure stringency mediated the reduction in psychiatric emergency presentations (incidence rate ratio of the natural indirect effect [IRRNIE] = 0.41, 95% CI [0.35, 0.48]) and self-harm presentations (IRRNIE = 0.49, 95% CI [0.39, 0.60]) in 2020 compared with 2019. Self-harm presentations among male and looked after children were likely to increase in parallel with lockdown stringency. Self-harm presentations precipitated by social isolation increased with stringency, whereas school pressure and rows with a friend became less likely precipitants. Children from more deprived neighbourhoods were less likely to present to emergency departments when lockdown became more stringent,
Conclusions
Lockdown may produce differential effects among children and adolescents who self-harm. Development in community or remote mental health services is crucial to offset potential barriers to access to emergency psychiatric care, especially for the most deprived youths. Governments should aim to reduce unnecessary fear of help-seeking and keep lockdown as short as possible. Underlying mediation mechanisms of stringent measures and potential psychosocial inequalities warrant further research.
As older adults are at higher risk for severe illness and mortality from SARS-CoV-2 infection, social distancing has been a primary means of mitigating risk. However, this lifestyle change may impact eating habits and food choices. The aim of this study was to explore individual and interpersonal factors affecting the eating behaviours and dietary intake of community-dwelling older adults during the COVID-19 pandemic.
Design:
Semi-structured individual interviews were conducted. All interviews were audio-recorded and transcribed verbatim. Qualitative data were analysed using a deductive content analysis approach to identify themes.
Setting:
Southeastern United States
Participants:
Twenty-three men and women, 60 years of age and older (mean age 71·9 ± 7·7, 22 % male), completed both the interview and questionnaire.
Results:
Themes that emerged at the individual level included changes in eating habits and foods eaten, with most participants reporting healthier food choices during the pandemic. Participants also reported more frequent cooking, improved cooking skills and cooking as a form of stress relief. Although some older adults described increased snacking and consumption of ‘comfort foods’, others noted no influence of mood on food choices. At the interpersonal level, an increased use of technology for social interaction and the importance of social support were identified as influencing factors.
Conclusions:
Findings provide insight on how to help older adults maintain good nutrition amidst lifestyle changes imposed by social distancing. Nutrition educators may capitalise on positive behaviour changes that occurred during the pandemic such as increased cooking and increased use of technology for social interaction.
Coronavirus disease 2019 (COVID-19) has spread rapidly around the world, affecting every community directly or indirectly. Therefore, this study aims to investigate the prevalence of COVID-19 infection in the population of the West Gondar zone.
Method:
A retrospective cross-sectional study was conducted from November 2020 to January 2021, in the West Gondar zone, Northwest Ethiopia. Records of study participants with required information like age, gender, travel history, type of specimen taken, and site of specimen taken were included. For analysis, the statistical package for social sciences (SPSS) version 20 software was used. Descriptive statistics were summarized as percentages and means ± standard deviation. The chi-squared test is used to compare categorical data.
Results:
A total of 1,166 participants were enrolled in this study. Of them, 16 individuals had positive results, giving a prevalence of 1.37% (95% CI: 0.66-2.08). Living in an urban area (P-value = 0.035) and being female (P-value = 0.045) was statistically associated with the positive rate for COVID-19.
Conclusions:
This study revealed a low prevalence of COVID-19 infection in the study area despite the increasing and rapid dissemination of the disease. State-wide population prevalence study should be done to estimate the general prevalence of COVID-19 in Ethiopia.
The aim of this study was to review the articles dealing with the mutual impacts of the coronavirus disease 2019 (COVID-19) pandemic and the recent earthquakes to elicit the various scopes of the lessons learned including the challenges, the successful measures, and the recommendations.
Methods:
To detect the relevant studies published between February 1, 2020, and June 9, 2021, PubMed, Web of Science, Scopus, and Google Scholar were searched. Having considered specific inclusion/exclusion criteria, 18 studies were included.
Results:
Seven major earthquakes have occurred concurrently or before the pandemic era in Albania, Croatia, Haiti, Great East Japan, Mexico, Nepal, and Utah. Thematic analysis revealed 5 themes for the “challenges” (management inefficiency, increased life-threatening, economic, socially related, and dual psychological challenges); 4 themes for the “efficient response measures” (health-care services measures, government measures, community-based cooperative activities, and disaster management response); and 3 major themes with 7 sub-themes for the “recommendations” including “the mitigation phase” (identifying probable natural disasters), “the preparedness phase” (preparing necessary equipment), and “the response phase” (mental care response measures, health-care-related COVID-19 measures, economic improvement measures, recognizing community-based capabilities, and government-related boosting measures).
Conclusions:
It is suggested that these scopes of the mutual impacts of the COVID-19 pandemic and the earthquakes be studied in systematic reviews.
The aim of this study was to develop and evaluate a pre-deployment sequestration (PDS) protocol to prevent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases on board the USS Ronald Reagan (CVN-76).
Methods:
The USS Ronald Reagan includes a crew of approximately 3000 Sailors and an embarked Air Wing of 2000 personnel. The PDS was conducted in 3 waves of 14-day strict quarantines during the months of April and May 2020. Sailors were cleared to board the ship with 2 negative reverse transcriptase polymerase chain reaction (rtPCR) tests at days 14 and 16. The ship was sanitized before Wave 1 boarding.
Results:
From March 1, 2020, through May 31, 2020, a total of 51 SARS-CoV-2 positive cases were detected. During the 3 waves of PDS, 28 Sailors were found to be positive on exit testing (14, 11, and 3, respectively); no cases were found among the Air Wing. During the first 90 days at sea, no SARS-CoV-2 cases were detected among any of the embarked personnel.
Conclusions:
Although resource-intensive, the PDS protocol implemented for USS Ronald Reagan resulted in a coronavirus disease 2019 (COVID-19)-free ship during a global pandemic with unprecedented scope. Elements of this pandemic PDS protocol may be useful in other highly risk-averse environments with no tolerance for COVID-19 infections.
Ethnic minorities with different languages and religions are potentially vulnerable not only during natural hazard-related disasters, but also during the coronavirus disease 2019 (COVID-19) pandemic. Their vaccination coverage may be lower, and vaccination strategies should prevent them from being left behind. This report presents the first case in Japan where a mosque, being the hub of foreign Muslims, was used as a vaccination site from the end of July 2021. The targeted mosque was Ebina Mosque in Kanagawa Prefecture, and most of the vaccine recipients were foreign Muslims. The mosque differed from other vaccination sites in that reservations could be made easily through the managers, and linguistic diversity (i.e., the mosque managers and mosque-related volunteers served as interpreters) and gender were considered. These efforts are likely to have removed some barriers to vaccination for ethnic minorities and contributed to “no one will be left behind.”
The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an unprecedented global public health crisis. The objectives of this study were to analyse the dynamic trend in specific antibodies in the serum of patients infected with SARS-CoV-2 within 12 months after recovery and to make a preliminary assessment of the protective effect of vaccination. Eighty-seven patients with confirmed COVID-19 who were admitted to our hospital from January to February 2020 were followed after recovery. Three-millilitre blood samples were collected for specific antibody detection at four time points: 1, 6 and 12 months after recovery and 1 month after vaccination. The changes in specific immunoglobulin G (IgG) antibody and total antibody levels over 12 months were analysed. Moreover, an independent comparison of the neutralising antibody levels of patients after vaccination with those of healthy medical staff after vaccination was performed to compare the inhibition rates of the neutralising antibody to the virus. No statistically significant difference in the sex distribution between groups was observed (P > 0.05). Older patients had a greater risk of developing severe and critical COVID-19 (P < 0.05). The percentages of subjects positive for IgG antibodies at 1, 6 and 12 months after recovery were 88.5%, 75.9% and 50.6%, respectively. The rate of IgG antibody conversion from positive to negative was not uniform across time points: the change was slow in the first 6 months but increased significantly in the last 6 months (P < 0.05). The positive rate of critically ill patients in the first 6 months was 100.0%. The trend over time in total antibody levels was similar to that of IgG antibody levels. Over 12 months, the sample/cut off value of total antibodies continued to decrease, while that of different disease severities was significantly different (P < 0.05). After vaccine administration, the total antibody level exceeded the detection level in the first month, which was independent of disease severity (P > 0.05). Significant differences were observed in the inhibition rate of the neutralising antibody against the virus in the disease group and the control group (P < 0.05). IgG antibody produced by patients naturally infected with SARS-CoV-2 has a duration of no less than 1 year, and the change trend graph of total antibody levels was the same as that of IgG antibody levels. Under vaccine stimulation, the positive rate of IgG antibody was as high as 100%, and the total antibody concentration reached the highest level, which was independent of disease severity. Neutralising antibodies following vaccination in patients who recovered from COVID-19 had a higher inhibition rate against SARS-CoV-2 than those of vaccinated healthy controls, indicating that these COVID-19 patients had a lower risk of reinfection and were better protected.
The coronavirus disease 2019 (COVID-19) pandemic has required healthcare systems to meet new demands for rapid information dissemination, resource allocation, and data reporting. To help address these challenges, our institution leveraged electronic health record (EHR)–integrated clinical pathways (E-ICPs), which are easily understood care algorithms accessible at the point of care.
Objective:
To describe our institution’s creation of E-ICPs to address the COVID-19 pandemic, and to assess the use and impact of these tools.
Setting:
Urban academic medical center with adult and pediatric hospitals, emergency departments, and ambulatory practices.
Methods:
Using the E-ICP processes and infrastructure established at our institution as a foundation, we developed a suite of COVID-19–specific E-ICPs along with a process for frequent reassessment and updating. We examined the development and use of our COVID-19–specific pathways for a 6-month period (March 1–September 1, 2020), and we have described their impact using case studies.
Results:
In total, 45 COVID-19–specific pathways were developed, pertaining to triage, diagnosis, and management of COVID-19 in diverse patient settings. Orders available in E-ICPs included those for isolation precautions, testing, treatments, admissions, and transfers. Pathways were accessed 86,400 times, with 99,081 individual orders were placed. Case studies demonstrate the impact of COVID-19 E-ICPs on stewardship of resources, testing optimization, and data reporting.
Conclusions:
E-ICPs provide a flexible and unified mechanism to meet the evolving demands of the COVID-19 pandemic, and they continue to be a critical tool leveraged by clinicians and hospital administrators alike for the management of COVID-19. Lessons learned may be generalizable to other urgent and nonurgent clinical conditions.
The severity of COVID-19 remains high worldwide. Therefore, millions of individuals are likely to suffer from fear of COVID-19 and related mental health factors.
Aims
The present systematic review and meta-analysis aimed to synthesize empirical evidence to understand fear of COVID-19 and its associations with mental health-related problems during this pandemic period.
Method
Relevant studies were searched for on five databases (Scopus, ProQuest, EMBASE, PubMed Central, and ISI Web of Knowledge), using relevant terms (COVID-19-related fear, anxiety, depression, mental health-related factors, mental well-being and sleep problems). All studies were included for analyses irrespective of their methodological quality, and the impact of quality on pooled effect size was examined by subgroup analysis.
Results
The meta-analysis pooled data from 91 studies comprising 88 320 participants (mean age 38.88 years; 60.66% females) from 36 countries. The pooled estimated mean of fear of COVID-19 was 13.11 (out of 35), using the Fear of COVID-19 Scale. The associations between fear of COVID-19 and mental health-related factors were mostly moderate (Fisher's z = 0.56 for mental health-related factors; 0.54 for anxiety; 0.42 for stress; 0.40 for depression; 0.29 for sleep problems and –0.24 for mental well-being). Methodological quality did not affect these associations.
Conclusions
Fear of COVID-19 has associations with various mental health-related factors. Therefore, programmes for reducing fear of COVID-19 and improving mental health are needed.