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Hospitalized coronavirus disease 2019 (COVID-19) patients receiving antibiotics (n = 173) were retrospectively assigned to the early or late discontinuation groups. The length of therapy was shorter in the early discontinuation group (3 vs 7 days; P < .0001). Mortality rates (14.3% vs 20.7%; P = .316) and length of stay (7 vs 9 days; P = .063) were similar.
In Germany, Eastern regions had a mild first wave of coronavirus disease 2019 (COVID-19) from March to May 2020, but were badly hit by a second wave later in autumn and winter. It is unknown how the second wave was initiated and developed in Eastern Germany where the number of COVID-19 cases was close to zero in June and July 2020. We used genomic epidemiology to investigate the dynamic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage development across the first and second waves in Eastern Germany. With detailed phylogenetic analyses we could show that SARS-CoV-2 lineages prevalent in the first and second waves in Eastern Germany were different, with several new variants including four predominant lineages in the second wave, having been introduced into Eastern Germany between August and October 2020. The results indicate that the major driving force behind the second wave was the introduction of new variants.
From 24 January 2020 to 18 May 2020, Chaoshan took measures to limit the spread of coronavirus disease 2019 (COVID-19), such as restricting public gatherings, wearing masks and suspending classes. We explored the effects of these measures on the pathogen spectrum of paediatric respiratory tract infections in Chaoshan. Pharyngeal swab samples were collected from 4075 children hospitalised for respiratory tract infection before (May–December 2019) and after (January–August 2020) the COVID-19 outbreak. We used liquid chip technology to analyse 14 respiratory pathogens. The data were used to explore between-group differences, age-related differences and seasonal variations in respiratory pathogens. The number of cases in the outbreak group (1222) was 42.8% of that in the pre-outbreak group (2853). Virus-detection rates were similar in the outbreak (48.3%, 590/1222) and pre-outbreak groups (51.5%, 1468/2853; χ2 = 3.446, P = 0.065), while the bacteria-detection rate was significantly lower in the outbreak group (26.2%, 320/1222) than in the pre-outbreak group (44.1%, 1258/2853; χ2 = 115.621, P < 0.05). With increasing age, the proportions of respiratory syncytial virus (RSV) and cytomegalovirus (CMV) infections decreased, while those of Mycoplasma pneumoniae and adenovirus infections increased. Streptococcus pneumoniae, CMV and rhinovirus infections peaked in autumn and winter, while RSV infections peaked in summer and winter. We found that the proportion of virus-only detection decreased with age, while the proportion of bacteria-only detection increased with age (Table 2). Anti-COVID-19 measures significantly reduced the number of paediatric hospitalisations for respiratory tract infections, significantly altered the pathogen spectrum of such infections and decreased the overall detection rates of 14 common respiratory pathogens. The proportion of bacterial, but not viral, infections decreased.
New Zealand has a strategy of eliminating SARS-CoV-2 that has resulted in a low incidence of reported coronavirus-19 disease (COVID-19). The aim of this study was to describe the spread of SARS-CoV-2 in New Zealand via a nationwide serosurvey of blood donors. Samples (n = 9806) were collected over a month-long period (3 December 2020–6 January 2021) from donors aged 16–88 years. The sample population was geographically spread, covering 16 of 20 district health board regions. A series of Spike-based immunoassays were utilised, and the serological testing algorithm was optimised for specificity given New Zealand is a low prevalence setting. Eighteen samples were seropositive for SARS-CoV-2 antibodies, six of which were retrospectively matched to previously confirmed COVID-19 cases. A further four were from donors that travelled to settings with a high risk of SARS-CoV-2 exposure, suggesting likely infection outside New Zealand. The remaining eight seropositive samples were from seven different district health regions for a true seroprevalence estimate, adjusted for test sensitivity and specificity, of 0.103% (95% confidence interval, 0.09–0.12%). The very low seroprevalence is consistent with limited undetected community transmission and provides robust, serological evidence to support New Zealand's successful elimination strategy for COVID-19.
To explore best practices and challenges in providing school meals during COVID-19 in a low-income, predominantly Latino, urban–rural region.
Design:
Semi-structured interviews with school district stakeholders and focus groups with parents were conducted to explore school meal provision during COVID-19 from June to August 2020. Data were coded and themes were identified to guide analysis. Community organisations were involved in all aspects of study design, recruitment, data collection and analysis.
Setting:
Six school districts in California’s San Joaquin Valley.
Participants:
School district stakeholders (n 11) included food service directors, school superintendents and community partners (e.g. funders, food cooperative). Focus groups (n 6) were comprised of parents (n 29) of children participating in school meal programmes.
Results:
COVID-19-related challenges for districts included developing safe meal distribution systems, boosting low participation, covering COVID-19-related costs and staying informed of policy changes. Barriers for families included transportation difficulties, safety concerns and a lack of fresh foods. Innovative strategies to address obstacles included pandemic-electronic benefits transfer (EBT), bus-stop delivery, community pick-up locations, batched meals and leveraging partner resources.
Conclusions:
A focus on fresher, more appealing meals and greater communication between school officials and parents could boost participation. Districts that leveraged external partnerships were better equipped to provide meals during pandemic conditions. In addition, policies increasing access to fresh foods and capitalising on United States Department of Agriculture waivers could boost school meal participation. Finally, partnering with community organisations and acting upon parent feedback could improve school meal systems, and in combination with pandemic-EBT, address childhood food insecurity.
Predicting the need for hospitalisation of patients with coronavirus disease 2019 (COVID-19) is important for preventing healthcare disruptions. This observational study aimed to use the COVID-19 Registry Japan (COVIREGI-JP) to develop a simple scoring system to predict respiratory failure due to COVID-19 using only underlying diseases and symptoms. A total of 6873 patients with COVID-19 admitted to Japanese medical institutions between 1 June 2020 and 2 December 2020 were included and divided into derivation and validation cohorts according to the date of admission. We used multivariable logistic regression analysis to create a simple risk score model, with respiratory failure as the outcome for young (18–39 years), middle-aged (40–64 years) and older (≥65 years) groups, using sex, age, body mass index, medical history and symptoms. The models selected for each age group were quite different. Areas under the receiver operating characteristic curves for the simple risk score model were 0.87, 0.79 and 0.80 for young, middle-aged and elderly derivation cohorts, and 0.81, 0.80 and 0.67 in the validation cohorts. Calibration of the model was good. The simple scoring system may be useful in the appropriate allocation of medical resources during the COVID-19 pandemic.
Monitoring the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) community-wide transmission with a suitable and effective sampling method would be of great support for public health response to the spreading due to asymptomatic subjects in the community.
Here, we describe how using saliva samples for SARS-CoV-2 detection has allowed for a weekly surveillance of a small business company and the early detection of coronavirus disease 2019 cases.
As on 23rd March, two cases were detected and investigated, and control measures were rapidly applied.
Australia suffered two waves of the coronavirus disease 2019 pandemic in 2020: the first lasting from February to July 2020 was mainly caused by transmission from international arrivals, the second lasting from July to November was caused by breaches of hotel quarantine which allowed spreading into the community. From a second wave peak in early August of over 700 new cases a day, by November 2020 Australia had effectively eliminated community transmission. Effective elimination was largely maintained in the first half of 2021 using snap lockdowns, while a slow vaccination programme left Australia lagging behind comparable countries. This paper describes the interventions which led to Australia's relative success up to July 2021, and also some of the failures along the way.
The pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), or coronavirus disease 2019 (COVID-19), has affected many people in the world and has impacted the physical, social, and mental health of the world population. One of these psychological consequences is intimate partner violence affecting sexual health.
Methods:
This study was performed as a systematic review on the effect of the SARS-CoV-2 pandemic on sexual function and domestic violence in the world. Accordingly, all English-language studies conducted from the beginning of the SARS-CoV-2 pandemic to the end of 2020 were extracted by searching in the Scopus, Web of Science, PubMed (including Medline), Cochrane Library, and Science Direct databases and then reviewed. The quality of the articles was assessed using the STROBE checklist.
Results:
A total of 11 studies were included in the systematic review. Accordingly, domestic violence during the exposure to COVID-19 had increased. Moreover, the mean scores of sexual function and its components had reduced at the time of exposure to the pandemic compared to before.
Conclusion:
Given the potential long-term effects of the coronavirus crisis and the large population being affected by this disease, strategies to promote sexual health and fertility of families to prevent or further reduce violence and sexual functions should be chosen.
The novel coronavirus (SARS-CoV-2) has produced a considerable public health burden but the impact that contracting the disease has on mental health is unclear. In this observational population-based cohort study, we examined longitudinal changes in psychological distress associated with testing positive for coronavirus disease 2019 (COVID-19).
Methods
Participants (N = 8002; observations = 139 035) were drawn from 23 waves of the Understanding America Study, a nationally representative probability-based online panel of American adults followed-up every 2 weeks from 1 April 2020 to 15 February 2021. Psychological distress was assessed using the standardized total score on the Patient Health Questionnaire-4.
Results
Over the course of the study, 576 participants reported testing positive for COVID-19. Using regression analysis including individual and time-fixed effects we found that psychological distress increased by 0.29 standard deviations (p < 0.001) during the 2-week period when participants first tested positive for COVID-19. Distress levels remained significantly elevated (d = 0.16, p < 0.01) for a further 2 weeks, before returning to baseline levels. Coronavirus symptom severity explained changes in distress attributable to COVID-19, whereby distress was more pronounced among those whose symptoms were more severe and were slower to subside.
Conclusions
This study indicates that testing positive for COVID-19 is associated with an initial increase in psychological distress that diminishes quickly as symptoms subside. Although COVID-19 may not produce lasting psychological distress among the majority of the general population it remains possible that a minority may suffer longer-term mental health consequences.
This study aimed to assess the level of trust in the Coronavirus disease 2019 (COVID-19) risk communication efforts in Nigeria.
Methods:
We conducted a descriptive cross-sectional study among community members aged 15 years and above in Ondo State in October, 2020. Data were collected using an interviewer-administered questionnaire, and analyzed using SPSS version 22. Descriptive statistics were summarized using frequencies. Trust was ranked from “1” suggesting “Low level of trust” to “7” denoting “High level of trust”. We conducted Chi-square test between respondents’ level of trust in the Nigeria Centre for Disease Control (NCDC) and socio-demographic characteristics. The level of significance was set at p < 0.05.
Results:
Among the 691 respondents, 244 (35.3%) were aged 21 to 29 years, and 304 (51.4%) accessed COVID-19 information through the NCDC. Overall, 205 (41.8%) had high level of trust in the NCDC, and 51 (51.5%) individuals aged 30-39 years had high level of trust in the NCDC (χ2 = 17.455; p = 0.001). Also, 114 (48.5%) persons who lived with children below 18 years had high level of trust in the NCDC (χ2 = 8.266; p = 0.004).
Conclusion:
Policy-makers should prioritize the involvement of young and educated persons in COVID-19 risk communication strategies.
We sought to determine the incidence of community-onset and hospital-acquired coinfection in patients hospitalized with coronavirus disease 2019 (COVID-19) and to evaluate associated predictors and outcomes.
Methods:
In this multicenter retrospective cohort study of patients hospitalized for COVID-19 from March 2020 to August 2020 across 38 Michigan hospitals, we assessed prevalence, predictors, and outcomes of community-onset and hospital-acquired coinfections. In-hospital and 60-day mortality, readmission, discharge to long-term care facility (LTCF), and mechanical ventilation duration were assessed for patients with versus without coinfection.
Results:
Of 2,205 patients with COVID-19, 141 (6.4%) had a coinfection: 3.0% community onset and 3.4% hospital acquired. Of patients without coinfection, 64.9% received antibiotics. Community-onset coinfection predictors included admission from an LTCF (OR, 3.98; 95% CI, 2.34–6.76; P < .001) and admission to intensive care (OR, 4.34; 95% CI, 2.87–6.55; P < .001). Hospital-acquired coinfection predictors included fever (OR, 2.46; 95% CI, 1.15–5.27; P = .02) and advanced respiratory support (OR, 40.72; 95% CI, 13.49–122.93; P < .001). Patients with (vs without) community-onset coinfection had longer mechanical ventilation (OR, 3.31; 95% CI, 1.67–6.56; P = .001) and higher in-hospital mortality (OR, 1.90; 95% CI, 1.06–3.40; P = .03) and 60-day mortality (OR, 1.86; 95% CI, 1.05–3.29; P = .03). Patients with (vs without) hospital-acquired coinfection had higher discharge to LTCF (OR, 8.48; 95% CI, 3.30–21.76; P < .001), in-hospital mortality (OR, 4.17; 95% CI, 2.37–7.33; P ≤ .001), and 60-day mortality (OR, 3.66; 95% CI, 2.11–6.33; P ≤ .001).
Conclusion:
Despite community-onset and hospital-acquired coinfection being uncommon, most patients hospitalized with COVID-19 received antibiotics. Admission from LTCF and to ICU were associated with increased risk of community-onset coinfection. Future studies should prospectively validate predictors of COVID-19 coinfection to facilitate the reduction of antibiotic use.
This study aims to investigate women’s psychological health, family function, and social support during the third trimester within the coronavirus disease 2019 (COVID-19) epidemic.
Method:
From January 30, 2020, to February 26, 2020, a total of 177 pregnant women during their third trimester (mean gestation time was 37.05 ± 4.06 wk) in a maternal and children’s hospital were investigated using the Self-Rating Anxiety Scale (SAS), the Edinburgh Postnatal Depression Scale, the Family APGAR Index, and the Perceived Social Support Scale. Nonparametric tests were conducted in the study. The statistical significance was set as P < 0.05.
Result:
The incidence rate of the participants’ anxiety and depression during the COVID-19 epidemic was 19.21% and 24.29%, respectively. The participants’ greatest concerns in the previous week were the risk of virus transmission (79.66%), and the prenatal examination and fetal growth (70.62%). The SAS ranks were higher in the participants who were concerned about the prenatal examination and fetal growth and work-related affairs.
Conclusion:
The participants’ psychological health was indirectly affected by the epidemic through the supply of medical resources and work-related factors. The medical staff should employ family support and social resources to guarantee the accessibility of medical services and living materials to decrease the pregnant women’s stress and further improve their psychological health.
This study aimed to assess the compliance to voluntary home quarantine and to examine the prevalence and associated factors of health anxiety among the voluntary home quarantined population during the onset of the coronavirus disease (COVID-19) pandemic.
Methods:
An online survey questionnaire, including the health anxiety questionnaire, was administered to 1578 eligible adults from the general population of 19 governorates of Iraq.
Results:
Self-reported compliance with home confinement was reported by a majority of respondents (83%) and was followed to a larger extent by young adults (62.2%), females (53.9%), unmarried individuals (56.7%), university graduates (54.5%), unemployed individuals (48.6%), and inhabitants of the northern provinces (50.2%). Compliance was significantly correlated to the level of personal knowledge on COVID-19. The quarantined individuals experienced greater health anxieties and preoccupations and exhibited increased reassurance-seeking behavior. Higher knowledge of COVID-19 was a protective factor against health anxiety.
Conclusions:
A significant mental health burden is discovered among Iraqis during the quarantine period. Based on the insights gleaned from this study, psychological education and interventions should be prioritized to diminish the psychological impact of the quarantine experience, especially among the high-risk groups. Improvement in compliance to quarantine can be approached by providing better information regarding the novel infection.