Satisfaction with telemedicine use during COVID-19 pandemic in the UK: a systematic review

Background: Telemedicine became a fundamental part of healthcare provision during COVID-19 pandemic. An evaluation of telemedicine-associated satisfaction helps the service develop more viable applications. This review evaluated the satisfaction of healthcare users and providers and their willingness to use this modality in future.Methods: The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A search on empirical articles published between March 2020 and December 2022 was performed on 'PubMed' and 'Scopus' databases. Findings that reported on satisfaction of patients, families and caregivers as well as clinicians were extracted and analysed. Quality of included studies was assessed. After applying inclusion and exclusion criteria, the review included 27 eligible studies.Results: Data was found from a variety of emergency and non-emergency departments of primary, secondary, and specialised healthcare. Almost all studies were undertaken within the NHS. There were many tools that measured satisfaction. Satisfaction was high among recipients of healthcare, scoring 9-10 on a scale of 0-10 or ranging from 73.3% to 100%. Convenience was rated high in every specialty examined. Satisfaction of clinicians was high throughout the specialities despite connection failure and concerns about confidentiality of information. Nonetheless, studies reported perception of increased barriers to accessing care and inequalities for vulnerable patients especially in older people. In general, willingness to use telemedicine in future was high in the recipients as well as the providers of healthcare.Conclusion: COVID-19 pandemic has transformed healthcare in the UK and promoted a revolution in telemedicine applications. Satisfaction was high among both recipient and provider of healthcare. Telemedicine managed to provide a continued care throughout the pandemic while maintaining social distance. The current review presented commendable evidence to encourage different specialities to engage in telemedicine application.

Changes of influenza vaccination rate and associated influencing factors after the COVID-19 pandemic in Shanghai, China

The vaccination rate for seasonal influenza remains low in most regions of China. It is essential to understand the factors that associated with the low influenza vaccination rate in various populations after the COVID-19 pandemic. A cross-sectional survey was conducted with residents in Pudong New Area, Shanghai, China. Respondents' vaccination condition during the 2021-2022 flu season and the reasons for receiving or not receiving influenza vaccine were investigated. Binary logistic regression was conducted to explore potential factors influencing vaccination uptake. 2,476 of 14,001 respondents received an influenza vaccine, with a total coverage of 17.68% (95% CI: 17.05%, 18.32%). Children had the highest vaccination coverage (35.68%; 95% CI: 34.02, 37.33), followed by adults (12.75%; 95% CI: 11.91%, 13.58%) and elderly individuals (11.70%, 95% CI: 10.78%, 12.62%). For children, lower household income was an significant promoting factor. For adults, factors significantly associated with vaccination were household income, sex, and education level. For elderly, factors significantly associated with vaccination were household income, education level, living state, and having underlying diseases. (P < .05)The main reason for vaccine hesitancy among children was worried about side effects (21.49%), for adults and elderly was self-rated good health (adults: 37.14%, elderly people: 30.66%). The overall influenza vaccination coverage rate in Shanghai, especially among elderly individuals, is lower than many developed countries. Appropriate strategies and programs targeting different populations need to be implemented to enhance influenza vaccine coverage.

Life Science 2.0: reframing the life science sector for 'the benefit on mankind'

The COVID-19 pandemic put the life science sector to the test. Vaccines were developed at unprecedented speed, benefiting from decades of fundamental research and now honoured by a Nobel Prize. However, we saw that the fruits of science were inequitably distributed. Most low- and middle-income countries were left behind, deepening the inequalities that the Sustainable Development Goals were set to reduce. We argue that the life science sector must reinvent itself to be better and more equitably prepared for the next health crisis and to ensure fair access to health across current and future generations. Our recommendations include global governance, national strategies and the role of universities and corporations. Improved and more equitable health care should be centre stage for global health action and a core mission of a reframed Life Science sector - what we call Life Science 2.0.Paper ContextMain findings: During the COVID-19 pandemic the Life Science sector stepped up to the challenge, but vaccines and medicines were not equitably distributed.Added knowledge: Obstacles were identified that hindered global access to medical innovations.Global health impact for policy and action: Global and national governance, universities and the private sector should join forces to create a Life Science sector (Life Science 2.0) that affords equitable access to medical advances across geographical and generational boundaries and socio-economic strata.

How urban versus rural population relates to COVID-19 booster vaccine hesitancy: A propensity score matching design study

During the COVID-19 pandemic, the vaccine hesitancy has significantly affected the vaccination. To evaluate the booster vaccine hesitancy and its influencing factors among urban and rural residents, as well as to estimate the net difference of booster vaccine hesitancy between urban and rural residents. We conducted a nationwide, cross-sectional Internet survey on 1-8 February 2023, and employed stratified random sampling technique to select participants (≥18 years old) from urban and rural areas. Multivariate logistic regression was used to determine the factors impacting booster vaccine hesitancy. Propensity Score Matching was used to estimate the net difference of COVID-19 booster vaccine hesitancy between urban and rural residents. The overall COVID-19 booster vaccine hesitancy rate of residents was 28.43%. The COVID-19 booster vaccine hesitancy rate among urban residents was found to be 34.70%, among rural residents was 20.25%. Chronic diseases, infection status, vaccination benefits, and trust in vaccine developers were associated with booster vaccine hesitancy among urban residents. Barriers of vaccination were associated with booster vaccine hesitancy among rural residents. PSM analysis showed that the urban residents have a higher booster vaccine hesitancy rate than rural residents, with a net difference of 6.20%. The vaccine hesitancy rate increased significantly, and the urban residents have a higher COVID-19 booster vaccine hesitancy than rural residents. It becomes crucial to enhance the dissemination of information regarding the advantages of vaccination and foster greater trust among urban residents toward the healthcare system.

Exploring vaccine hesitancy and acceptance in the general population of Pakistan: Insights into COVID-19-related distress, risk perception, and stigma

The coronavirus disease 2019 (COVID-19) caused several impacts. Focusing on 360 participants (178 males, 182 females), this study explored the association between COVID-19 related distress, risk perception, stigma, and vaccine hesitancy and acceptance in the general population. Measures used included the Hospital Anxiety and Depression Scale (HADS) and COVID Stress Scale (CSS) to evaluate anxiety, depression, and COVID-19 related distress, the COVID-19 Risk Perception Scale and COVID-19 Stigma Discrimination Scale to assess risk perception and stigma, and the Oxford COVID-19 Vaccine Hesitancy Scale and Vaccine Acceptance Instrument to measure vaccine hesitancy and acceptance. The findings revealed that 66.9% of participants exhibited vaccine hesitancy, and stress and risk perception were significant predictors of both vaccine hesitancy and acceptance, even after controlling for demographic factors. This study highlights the importance of understanding the factors mentioned above that will contribute to vaccine hesitancy and acceptance, which will contribute to promoting vaccine acceptance.

Change in intention and hesitancy regarding COVID-19 vaccines in a cohort of adults in Quebec during the pandemic

Although COVID-19 vaccine uptake was high in Quebec for the primary series, vaccine acceptance decreased for the subsequent booster doses. This article presents the evolution of vaccine intention, self-reported vaccination behaviors, and vaccine hesitancy over 2 years. A series of cross-sectional surveys were conducted in Quebec between March 2020 and March 2023, with a representative sample of 3,330 adults recruited biweekly via a Web panel. Panelists could have answered multiple times over the course of the project. A cohort of respondents was created to assess how attitudes and behaviors about COVID-19 vaccines evolved. Descriptive statistics and multivariate logistic regressions were performed. Among the 1,914 individuals with no or low intention of getting vaccinated in Fall 2021 (Period 1), 1,476 (77%) reported having received at least two doses in the Winter 2023 (Period 2). Not believing in conspiracy theory (OR = 2.08, 95% CI: 1.65-2.64), being worried about catching COVID-19 (OR = 2.12, 95% CI: 1.65-2.73) and not living in a rural area (ORs of other areas are 2.27, 95% CI: 1.58-3.28; 1.66, 95% CI: 1.23-2.26; 1.82 95% CI: 1.23-2.73) were the three main factors associated with being vaccinated at Period 2. Among the 11,117 individuals not hesitant at Period 1, 1,335 (12%) became hesitant at Period 2. The three main factors significantly associated with becoming vaccine hesitant were the adherence to conspiracy theories (OR = 2.28, 95% CI: 1.95-2.66), being a female (OR = 1.67, 95% CI: 1.48-1.90) and being younger than 65 years old (the ORs for 18-34, 35-49, and 50-64 compared with 65 and over are 2.82, 95% CI: 2.32-3.44; 2.39, 95% CI: 2.00-2.86 and 1.82, 95% CI: 1.55-2.15 respectively). As the pandemic is over, monitoring the evolution of vaccine attitudes and uptake will be important.

The seroepidemiology of immunoglobulin G antibodies against pertussis toxin and filamentous hemagglutinin in the east of China during the COVID-19 pandemic

This study employed sero-epidemiological methods to estimate the incidence of pertussis within a healthy population located in eastern China. The aim was to gain deeper insights into the epidemiological characteristics and burden of pertussis within the country. Blood samples were collected from healthy individuals in Jiangsu Province between June 2019 and December 2022. The levels of IgG antibodies against pertussis toxin (anti-PT) and filamentous hemagglutinin (anti-FHA) in the serum were quantitatively measured using enzyme-linked immunosorbent assay (ELISA). Additionally, pertussis case data reported in Jiangsu Province were collected from the China Information System for Disease Control and Prevention and compared with the results of this study. In 2022, the reported incidence of pertussis stood at 1.0 per 100,000 individuals, marking the highest rate observed in the past two decades. Among 1,909 patients examined, the geometric mean concentration (GMC) of anti-PT IgG antibody was 20.2 (18.5-21.9) IU/ml, while that of anti-FHA IgG antibody was 27.0 (25.4-28.7) IU/ml. The IgG-PT and IgG-FHA seropositivity rate (>20.0 IU/ml) was highest in the 1 ~ 2 y old group and decreased rapidly to the lowest in the 3 ~ 4 y old group and then increased gradually with age. The estimated rate of pertussis infection based on seroprevalence was approximately 25,625-fold higher than the reported notification rate in the ≥15 year age group. Our findings highlight decreased immunity post-vaccination, stressing the importance of additional booster shots for adolescents and adults to maintain immunity and reduce severe illness. Additionally, they offer vital guidance for policymakers to enhance immunization strategies.

Roles and Dynamics within Community Mental Health Systems During the COVID-19 Pandemic: A Qualitative Systematic Review and Meta-Ethnography

Globally, COVID-19 had an immense impact on mental health systems, but research on how community mental health (CMH) systems and services contributed to the pandemic mental health response is limited. We conducted a systematic review and meta-ethnography to understand the roles of CMH services, determinants of the quality of CMH care, and dynamics within CMH systems during COVID-19. We searched and screened across five databases and appraised study quality using the CASP tool, which yielded 27 qualitative studies. Our meta-ethnographic process used Noblit and Hare's approach for synthesizing findings and applying interpretive analysis to original research. This identified several key themes. Firstly, CMH systems played the valuable pandemic role of safety nets and networks for the broader mental health ecosystem, while CMH service providers offered a continuous relationship of trust to service users amidst pandemic disruptions. Secondly, we found that the determinants of quality CMH care during COVID-19 included resourcing and capacity, connections across service providers, customized care options, ease of access, and human connection. Finally, we observed that power dynamics across the CMH landscape disproportionately excluded marginalized groups from mainstream CMH systems and services. Our findings suggest that while the pandemic role of CMH was clear, effectiveness was driven by the efforts of individual service providers to meet demand and service users' needs. To reprise its pandemic role in the future, a concerted effort is needed to make CMH systems a valuable part of countries' disaster mental health response and to invest in quality care, particularly for marginalized groups.

How interventions to maintain services during the COVID-19 pandemic strengthened systems for delivery of maternal and child health services: a case-study of Wakiso District, Uganda

BACKGROUND

Health systems are resilient if they absorb, adapt, and transform in response to shocks. Although absorptive and adaptive capacities have been demonstrated during the COVID-19 response, little has been documented about their transformability and strengthened service delivery systems. We aimed to describe improvements in maternal and child health service delivery as a result of investments during the COVID-19 response.

METHODS

This was a descriptive case study conducted in Wakiso District in central Uganda. It included 21 nurses and midwives as key informants and 32 mothers in three focus group discussions. Data were collected using an interview guide following the Systems Engineering Initiative for Patient Safety theoretical framework for service delivery.

RESULTS

Maternal and child health service delivery during the pandemic involved service provision without changes, service delivery with temporary changes and outcomes, and service delivery that resulted into sustained changes and outcomes. Temporary changes included patient schedule adjustments, community service delivery and negative outcomes such as increased workload and stigma against health workers. Sustained changes that strengthened service delivery included new infrastructure and supplies such as ambulances and equipment, new roles involving infection prevention and control, increased role of community health workers and outcomes such as improved workplace safety and teamwork.

CONCLUSIONS

In spite of the negative impact the COVID-19 pandemic had on health systems, it created the impetus to invest in system improvements. Investments such as new facility infrastructure and emergency medical services were leveraged to improve maternal and child health services delivery. The inter-departmental collaboration during the response to the COVID-19 pandemic resulted into an improved intra-hospital environment for other service delivery. However, there is a need to evaluate lessons beyond health facilities and whether these learnings are deliberately integrated into service delivery. Future responses should also address the psychological and physical impacts suffered by health workers to maintain service delivery.

The effectiveness of rural community health workers in improving health outcomes during the COVID-19 pandemic: a systematic review

BACKGROUND

Rural community health workers [CHWs] play a critical role in improving health outcomes during non-pandemic times, but evidence on their effectiveness during the COVID-19 pandemic is limited. There is a need to focus on rural CHWs and rural health systems as they have limited material and human resources rendering them more vulnerable than urban health systems to severe disruptions during pandemics.

OBJECTIVES

This systematic review aims to describe and appraise the current evidence on the effectiveness of rural CHWs in improving access to health services and health outcomes during the COVID-19 pandemic in low-and middle-income countries [LMICs].

METHODS

We searched electronic databases for articles published from 2020 to 2023 describing rural CHW interventions during the COVID-19 pandemic in LMICs. We extracted data on study characteristics, interventions, outcome measures, and main results. We conducted a narrative synthesis of key results.

RESULTS

Fifteen studies from 10 countries met our inclusion criteria. Most of the studies were from Asia [10 of 15 studies]. Study designs varied and included descriptive and analytical studies. The evidence suggested that rural CHW interventions led to increased household access to health services and may be effective in improving COVID-19 and non-COVID-19 health outcomes. Overall, however, the quality of evidence was poor due to methodological limitations; 14 of 15 studies had a high risk of bias.

CONCLUSION

Rural CHWs may have improved access to health services and health outcomes during the COVID-19 pandemic in LMICs but more rigorous studies are needed during future pandemics to evaluate their effectiveness in improving health outcomes in different settings and to assess appropriate support required to ensure their impact at scale.

Factors influencing adverse events following COVID-19 vaccination

Various novel platform technologies have been used for the development of COVID-19 vaccines. In this nested cohort study among healthcare workers in Australia and Brazil who received three different COVID-19-specific vaccines, we (a) evaluated the incidence of adverse events following immunization (AEFI); (b) compared AEFI by vaccine type, dose and country; (c) identified factors influencing the incidence of AEFI; and (d) assessed the association between reactogenicity and vaccine anti-spike IgG antibody responses. Of 1302 participants who received homologous 2-dose regimens of ChAdOx1-S (Oxford-AstraZeneca), BNT162b2 (Pfizer-BioNTech) or CoronaVac (Sinovac), 1219 (94%) completed vaccine reaction questionnaires. Following the first vaccine dose, the incidence of any systemic reaction was higher in ChAdOx1-S recipients (374/806, 46%) compared with BNT162b2 (55/151, 36%; p = 0.02) or CoronaVac (26/262, 10%; p < 0.001) recipients. After the second vaccine dose, the incidence of any systemic reaction was higher in BNT162b2 recipients (66/151, 44%) compared with ChAdOx1-S (164/806, 20%; p < 0.001) or CoronaVac (23/262, 9%; p < 0.001) recipients. AEFI risk was higher in younger participants, females, participants in Australia, and varied by vaccine type and dose. Prior COVID-19 did not impact the risk of AEFI. Participants in Australia compared with Brazil reported a higher incidence of any local reaction (170/231, 74% vs 222/726, 31%, p < 0.001) and any systemic reaction (171/231, 74% vs 328/726, 45%, p < 0.001), regardless of vaccine type. Following a primary course of ChAdOx1-S or CoronaVac vaccination, participants who did not report AEFI seroconverted at a similar rate to those who reported local or systemic reactions. In conclusion, we found that the incidence of AEFI was influenced by participant age and COVID-19 vaccine type, and differed between participants in Australia and Brazil.

Changes in vaccine coverage and incidence of acute gastroenteritis and severe rotavirus gastroenteritis in children <5 years in Shibata City, Niigata Prefecture, Japan

Rotavirus (RV) vaccines were first introduced in 2011 and adopted for universal vaccination in 2020 in Japan. However, the effectiveness of RV vaccines after being adopted for universal vaccination in 2020 has not been reported. Because of the easy accessibility of clinics in Japan, many children are not usually hospitalized for RV gastroenteritis (RVGE). Therefore, in order to evaluate the impact of the RV vaccine since 2008, we investigated the incidence of hospitalization for RVGE as well as the frequency of children aged < 5 years who received medical treatment for severe RVGE at clinics in Shibata City, Japan. The RV vaccine coverage rate was 94.0% (1,046/1,113) in Shibata City after universal vaccination in 2020; this was a significant increase from previous rates. The incidence per 1000 person - years for RVGE hospitalization and severe RVGE at clinics were significantly higher among children aged < 3 years than in previous time periods. The incidence in children with all acute gastroenteritis (AGE) decreased significantly after universal vaccination during the COVID-19 pandemic. The proportion of severe RVGE among all AGE cases also decreased significantly after universal vaccination among children aged < 3 years (0.0%) and those aged 3-4 years (0.6%). There were significant differences in the distribution of RV genotypes isolated from the feces of children with RVGE between different eras divided by RV vaccination rates, especially G1P[8], which was the major genotype before it recently almost disappeared. Further studies are warranted to assess the impact of the COVID-19 pandemic.

The risk of acute disseminated encephalomyelitis (ADEM) following covid-19 vaccination in England: A self-controlled case-series analysis

Acute disseminated encephalomyelitis (ADEM) has been identified as an Adverse Event of Special Interest in the COVID-19 vaccine programme due to its long-standing temporal association with a wide range of other vaccines. Case reports of ADEM shortly following COVID-19 vaccination have now been documented.    There were 217 ADEM admissions in 215 individuals in the period 8th December 2020 to 31st March 2023. An increased risk of ADEM following the first dose of ChAdOx1 vaccine was observed (relative incidence (RI) = 3.13, 95% Confidence Interval (CI) [1.56-6.25]) with a vaccine attributable risk of 0.39 per million doses. When doses 1 and 2 were combined this increased risk remained just significant (1.96 [95%CI 1.01-3.82]). No significant increased risk was observed with any other vaccine or dose. This small, elevated risk after the first dose of ChAdOx1-S vaccine demonstrates how large national electronic datasets can be used to identify very rare risks and provides reassurance that any risk of ADEM following the ChAdOx1-S COVID-19 vaccination is extremely small. Given the rarity of this risk, further studies in settings with access to data on large populations should be carried out to verify these findings.

COVID-19 pandemic and its impact on medical interns' mental health of public and private hospitals in Guadalajara

INTRODUCTION

Burnout syndrome is a global burden characterized by exhaustion, work detachment, and a sense of ineffectiveness. It affects millions of individuals worldwide, with a particularly high prevalence among medical students. Factors such as demanding education, exposure to suffering, and the COVID-19 pandemic have contributed to elevated stress levels. Addressing this issue is crucial due to its impact on well-being and health-care quality.

MATERIALS AND METHODS

This cross-sectional survey study assessed fear of COVID-19 and burnout levels among medical student interns in hospitals in Guadalajara, Jalisco. The study used validated scales and collected data from September 2021 to September 2022. A snowball sampling method was employed and a minimum sample size of 198 participants was calculated.

RESULTS

This study included 311 medical students (62.1% female and 37.9% male with a mean age of 23.51 ± 2.21 years). The majority were in their second semester of internship (60.5%) and from public hospitals (89.1%). Most students believed that the COVID-19 pandemic affected the quality of their internship (82.6%). Female students had higher personal burnout scores, while male students had higher work-related burnout scores. The mean score for fear of COVID-19 was 13.71 ± 6.28, with higher scores among women (p = 0.004) and those from public hospitals (p = 0.009). A positive weak correlation was found between COVID-19 scores and burnout subscales.

CONCLUSION

Our study emphasizes the significant impact of various factors on burnout levels among medical students and health-care professionals during the COVID-19 pandemic. Prolonged exposure to COVID-19 patients, reduced staffing, and increased workload contributed to burnout, affecting well-being and quality of care. Targeted interventions and resilience-building strategies are needed to mitigate burnout and promote well-being in health-care settings.

Impact of COVID-19 vaccination status on hospitalization and disease severity: A descriptive study in Nagasaki Prefecture, Japan

Coronavirus disease 2019 (COVID-19) was extraordinarily harmful, with high rates of infection and hospitalization. This study aimed to evaluate the impact of COVID-19 vaccination status and other factors on hospitalization and disease severity, using data from Nagasaki Prefecture, Japan. Confirmed cases of COVID-19 infection with vaccination status were included and the differences in characteristics between different vaccination statuses, hospitalization or not, and patients with varying levels of disease severity were analyzed. Furthermore, logistic regression was used to calculate odds ratio (ORs) and 95% confidence intervals (CI) to evaluate the association of various factors with hospitalization and disease severity. From March 14, 2020 to August 31, 2022, 23,139 patients were unvaccinated 13,668 vaccinated the primary program with one or two doses, and 4,575 completed the booster. Vaccination reduced the risk of hospitalization with an odd ratio of 0.759 (95% CI: 0.654-0.881) and the protective effect of completed booster vaccination was more pronounced (OR: 0.261, 95% CI: 0.207-0.328). Similarly, vaccination significantly reduced the risk of disease severity (vaccinated primary program: OR: 0.191, 95% CI: 0.160-0.228; completed booster vaccination: OR: 0.129, 95% CI: 0.099-0.169). Overall, unvaccinated, male, elderly, immunocompromised, obese, and patients with other severe illness factors were all risk factors for COVID-19-related hospitalization and disease severity. Vaccination was associated with a decreased risk of hospitalization and disease severity, and highlighted the benefits of completing booster.

SARS-CoV-2 seroprevalence among healthcare workers in a highly vaccinated Japanese medical center from 2020-2023

Infection-induced SARS-CoV-2 seroprevalence has been studied worldwide. At Juntendo University Hospital (JUH) in Tokyo, Japan, we have consistently conducted serological studies using the blood residue of healthcare workers (HCWs) at annual health examinations since 2020. In this 2023 study (n = 3,594), N-specific seroprevalence (infection-induced) was examined while univariate and multivariate logistic regression analyses were performed to compute ORs of seroprevalence with respect to basic characteristics of participants. We found that the N-specific seroprevalence in 2023 was 54.1%-a jump from 17.7% in 2022, and 1.6% in 2021-with 37.9% as non-PCR-confirmed asymptomatic infection cases. Those younger than 50 (adjusted OR = 1.62; p < .001) and recipients with 4 doses or less of vaccine had a higher risk to be N-positive, ranging from 1.45 times higher for the participants with 4 doses (p < .001) to 4.31 times higher for the participants with 1 dose (p < .001), compared to those with 5 or more doses. Our findings indicate that robust vaccination programs may have helped alleviate symptoms but consequently caused asymptomatic spread in this hospital, especially among younger HCWs. Although having four doses or less was found to be associated with higher risk of infection, the optimal constitution and intervals for effective booster vaccines warrant further investigations.

Individual predictors of vaccine hesitancy in the Italian post COVID-19 pandemic era

A wide range of survey studies have explored vaccination hesitancy/resistance during the COVID-19 pandemic and provided evidence that this can be explained by several individual variables from the ideological, clinical, and socio-affective domain. However, evidence about which individual variables predict vaccine hesitancy in the post-pandemic state of COVID-19 is meager. We administered a battery of questionnaires to a group of 120 Italian participants with high and low scores on the adult vaccine hesitancy scale (aVHS) to investigate the predictive role of ideological (i.e. political orientation), clinical (i.e. anxiety, interoceptive accuracy), and socio-affective (i.e. alexithymia, disgust sensitivity/propensity, empathy) variables on vaccine hesitancy/resistance. This study provides evidence that lower interoceptive awareness and cognitive empathy are predictors of a greater hesitancy to get vaccinated in the post-pandemic COVID-19 state.

Polymyalgia rheumatica and giant cell arteritis following COVID-19 vaccination: Results from a nationwide survey

We conducted a national in-depth analysis including pharmacovigilance reports and clinical study to assess the reporting rate (RR) and to determine the clinical profile of polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) in COVID-19-vaccinated individuals. First, based on the French pharmacovigilance database, we estimated the RR of PMR and GCA cases in individuals aged over 50 who developed their initial symptoms within one month of receiving the BNT162b2 mRNA, mRNA-1273, ChAdOx1 nCoV-19, and Ad26.COV2.S vaccines. We then conducted a nationwide survey to gather clinical profiles, therapeutic management, and follow-up data from individuals registered in the pharmacovigilance study. A total of 70 854 684 COVID-19 vaccine doses were administered to 25 260 485 adults, among which, 179 cases of PMR (RR 7. 1 cases/1 000 000 persons) and 54 cases of GCA (RR 2. 1 cases/1 000 000 persons) have been reported. The nationwide survey allowed the characterization of 60 PMR and 35 GCA cases. Median time to the onset of first symptoms was 10 (range 2-30) and 7 (range 2-25) days for PMR and GCA, respectively. Phenotype, GCA-related ischemic complications and -large vessel vasculitis as well as therapeutic management and follow-up seemed similar according to the number of vaccine shots received and when compared to the literature data of unvaccinated population. Although rare, the short time between immunization and the onset of first symptoms of PMR and GCA suggests a temporal association. Physician should be aware of this potential vaccine-related phenomenon.

An epidemiological model for analysing pandemic trends of novel coronavirus transmission with optimal control

Symptomatic and asymptomatic individuals play a significant role in the transmission dynamics of novel Coronaviruses. By considering the dynamical behaviour of symptomatic and asymptomatic individuals, this study examines the temporal dynamics and optimal control of Coronavirus disease propagation using an epidemiological model. Biologically and mathematically, the well-posed epidemic problem is examined, as well as the threshold quantity with parameter sensitivity. Model parameters are quantified and their relative impact on the disease is evaluated. Additionally, the steady states are investigated to determine the model's stability and bifurcation. Using the dynamics and parameters sensitivity, we then introduce optimal control strategies for the elimination of the disease. Using real disease data, numerical simulations and model validation are performed to support theoretical findings and show the effects of control strategies.

The effect of the COVID-19 pandemic on the mental health of obstetrics and gynaecology trainees: a world-wide literature review

BACKGROUND

Coronavirus (COVID-19) pandemic has affected the training and wellbeing of obstetrics and gynaecology (O&G) trainees. The aim of this review is to offer a worldwide overview on its' impact on the mental health of O&G trainees, so that measures can be put into place to better support trainees during the transition back to the 'new normal'.

METHODS

Key search terms used on PubMed and Google Scholar databases include: mental health, COVID-19, O&G, trainees, residents.

RESULTS

Fifteen articles (cumulative number of respondents = 3230) were identified, of which eight employed validated questionnaires (n = 1807 respondents), while non-validated questionnaires were used in seven (n = 1423 respondents). Studies showed that COVID-19 appeared to exert more of a negative impact on females and on senior trainees' mental health, while protective factors included marriage/partner and having had children. Validated and non-validated questionnaires suggested that trainees were exposed to high levels of anxiety and depression. Their mental health was also affected by insomnia, stress, burnout and fear of passing on the virus.

DISCUSSION

This review analyses the global impact of COVID-19 on O&G trainees' mental health, showing a pervasive negative effect linked to fear of the virus. Limited psychological support has led to prolonged issues, hindering patient safety and increasing sick leave. The study underscores the urgency of comprehensive support, particularly in female-dominated fields. Addressing these challenges is crucial for future pandemics, highlighting the need to learn from past mistakes and prioritise mental health resources for trainee well-being during and beyond pandemics.

Perspectives on AI-based recommendations for mask-wearing and COVID-19 vaccination for transplant recipients in the post-COVID-19 era

In the aftermath of the COVID-19 pandemic, the ongoing necessity for preventive measures such as mask-wearing and vaccination remains particularly critical for organ transplant recipients, a group highly susceptible to infections due to immunosuppressive therapy. Given that many individuals nowadays increasingly utilize Artificial Intelligence (AI), understanding AI perspectives is important. Thus, this study utilizes AI, specifically ChatGPT 4.0, to assess its perspectives in offering precise health recommendations for mask-wearing and COVID-19 vaccination tailored to this vulnerable population. Through a series of scenarios reflecting diverse environmental settings and health statuses in December 2023, we evaluated the AI's responses to gauge its precision, adaptability, and potential biases in advising high-risk patient groups. Our findings reveal that ChatGPT 4.0 consistently recommends mask-wearing in crowded and indoor environments for transplant recipients, underscoring their elevated risk. In contrast, for settings with fewer transmission risks, such as outdoor areas where social distancing is possible, the AI suggests that mask-wearing might be less imperative. Regarding vaccination guidance, the AI strongly advocates for the COVID-19 vaccine across most scenarios for kidney transplant recipients. However, it recommends a personalized consultation with healthcare providers in cases where patients express concerns about vaccine-related side effects, demonstrating an ability to adapt recommendations based on individual health considerations. While this study provides valuable insights into the current AI perspective on these important topics, it is crucial to note that the findings do not directly reflect or influence health policy. Nevertheless, given the increasing utilization of AI in various domains, understanding AI's viewpoints on such critical matters is essential for informed decision-making and future research.

The experiences of family members of persons with intellectual disabilities who used residential care homes during the COVID-19 pandemic

BACKGROUND

The global COVID-19 pandemic has shown the vulnerability of some population groups, including persons with intellectual and developmental disabilities (IDD).

AIM

The present paper will provide more clarity and understanding of the experiences of family members of persons with IDD housed in residential facilities in Catalonia within the period of maximum restrictions during the COVID-19 pandemic.

METHODS AND PROCEDURES

Semi-structured interviews were conducted using an interpretive phenomenological qualitative approach. Study participants consisted of 14 relatives of IDD individuals who were institutionalized in residence facilities or homes. The guiding questions emerged from group discussions with relatives of those with IDD who did not participate in the subsequent interviews. Drawing from this group, the factors that were identified to have had the greatest impact on their lives were later used to guide the interviews. Data collection was carried out in face-to-face individual interviews that were recorded together with the observations of two researchers between February and October 2022.

RESULTS

Our analysis identified 4 main themes that developed into additional factors: the decision to stay at home or in the residence, fear, illness, and protocol. Individuals with IDD lost their daily routines, suffered from social isolation, and did not understand the situation.

CONCLUSION

The results of this study allow for a better understanding of the experiences of families of persons with IDD in residential centres during the lockdown by identifying their needs and how to better support them in the future.

OUTCOMES AND RESULTS

Knowledge and understanding of these events should allow for better management of similar situations in the future.

First detection of Omicron variant BA.4.1 lineage in dogs, Chile

SARS-CoV-2's rapid global spread caused the declaration of COVID-19 as a pandemic in March 2020. Alongside humans, domestic dogs and cats are also susceptible to infection. However, limited reports on pet infections in Chile prompted a comprehensive study to address this knowledge gap. Between March 2021 and March 2023, the study assessed 65 pets (26 dogs and 39 cats) from 33 COVID-19+ households alongside 700 nasal swabs from animals in households with unknown COVID-19 status. Using RT-PCR, nasal, fecal, and environmental samples were analyzed for the virus. In COVID-19+ households, 6.06% tested positive for SARS-CoV-2, belonging to 3 dogs, indicating human-to-pet transmission. Pets from households with unknown COVID-19 status tested negative for the virus. We obtained 2 SARS-CoV-2 genomes from animals, that belonged to Omicron BA.4.1 variant, marking the first report of pets infected with this lineage globally. Phylogenetic analysis showed these sequences clustered with human sequences collected in Chile during the same period when the BA.4.1 variant was prevalent in the country. The prevalence of SARS-CoV-2 in Chilean pets was relatively low, likely due to the country's high human vaccination rate. Our study highlights the importance of upholding and strengthening human vaccination strategies to mitigate the risk of interspecies transmission. It underscores the critical role of the One Health approach in addressing emerging zoonotic diseases, calling for further research on infection dynamics and risk factors for a comprehensive understanding.

Surveillance of SARS-CoV-2 in wastewater by quantitative PCR and digital PCR: a case study in Shijiazhuang city, Hebei province, China

In this study, we reported the first long-term monitoring of SARS-CoV-2 in wastewater in Mainland China from November 2021 to October 2023. The city of Shijiazhuang was employed for this case study. We developed a triple reverse transcription droplet digital PCR (RT-ddPCR) method using triple primer-probes for simultaneous detection of the N1 gene, E gene, and Pepper mild mottle virus (PMMoV) to achieve accurate quantification of SARS-CoV-2 RNA in wastewater. Both the RT-ddPCR method and the commercial multiplex reverse transcription quantitative polymerase chain reaction (RT-qPCR) method were implemented for the detection of SARS-CoV-2 in wastewater in Shijiazhuang City over a 24-month period. Results showed that SARS-CoV-2 was detected for the first time in the wastewater of Shijiazhuang City on 10 November 2022. The peak of COVID-19 cases occurred in the middle of December 2022, when the concentration of SARS-CoV-2 in the wastewater was highest. The trend of virus concentration increases and decreases forming a "long-tailed" shape in the COVID-19  outbreak and recession cycle. The results indicated that both multiplex RT-ddPCR and RT-qPCR are effective in detecting SARS-CoV-2 in wastewater, but RT-ddPCR is capable of detecting low concentrations of SARS-CoV-2 in wastewater which is more efficient. The SARS-CoV-2 abundance in wastewater is correlated to clinical data, outlining the public health utility of this work.HighlightsFirst long-term monitoring of SARS-CoV-2 in wastewater in Mainland ChinaCOVID-19 outbreak was tracked in Shijiazhuang City from outbreak to containmentWastewater was monitored simultaneously using RT-ddPCR and RT-qPCR methodsTriple primer-probe RT-ddPCR detects N1 and E genes of SARS-CoV-2 and PMMoV.

Efficacy of the COVID-19 vaccination in patients with asymptomatic or mild illness during the Omicron epidemic in Guangzhou: a multi-centre retrospective cohort study

BACKGROUND

Despite the widespread administration of coronavirus disease 2019 (COVID-19) vaccines, the impact on patients with asymptomatic to mild illness remains unclear. Here, we aimed to assess the efficacy of various vaccine doses and types on the duration of isolation duration and discharge rates, the viral shedding duration, and negative rates in asymptomatic to mild COVID-19 patients.

METHODS

We included adult patients at the Fangcang isolation centres in Pazhou or Yongning between November and December 2022. We analysed data on basic demographics, admission details, laboratory indicators and vaccination information.

RESULTS

A total of 6560 infected patients were included (3584 from Pazhou and 2976 from Yongning). Of these, 90.6% received inactivated vaccines, 3.66% received recombinant SARS-CoV-2 spike protein subunit vaccines and 0.91% received adenovirus vaccines. Among the 6173 vaccinated individuals, 71.9% received a booster dose. By day 9, the isolation rate reached 50% among vaccinated patients. On day 7.5, the positive rate among vaccinated individuals reached 50%.

CONCLUSIONS

Full vaccination was effective, with heterologous vaccines showing greater efficacy than inactivated vaccines alone. However, there was no significant difference in the vaccine protective effect 12 months after vaccination.

Investigation of the seroprevalence to equine coronavirus and SARS-CoV-2 in healthy adult horses recently imported to the United States

Adult horses are susceptible to equine coronavirus (ECoV) and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), although, only ECoV has been linked to clinical disease. Little information is available regarding the seroprevalence against ECoV and SARS-CoV-2 in adult healthy horses. The goal of the present study was to determine the seroprevalence against two coronaviruses known to infect horses using convenience samples collected from horses recently imported from Europe to the United States from 2019 to 2023. A total of 385 banked serum samples were tested against ECoV and SARS-CoV-2 using previously validated ELISA assays. Prevalence factors including date of arrival in the United States, signalment and country of origin were available for the majority of the horses. A total of 9/385 (2.3%) and 4/385 (1.0%) horses tested seropositive for ECoV and SARS-CoV-2, respectively. The ECoV seropositive horses were all mares, ages 4 to 26 years (median 9 years) and originated from Germany, the Netherlands, Ireland, Belgium and Italy. These mares were predominantly imported during the summer and fall months. All SARS-CoV-2 seropositive horses were mares ages 5 to 10 years (median 7.5 years) imported from the Netherlands and the United Kingdom. The majority of the SARS-CoV-2 seropositive horses were imported during the colder months of the year. The study results support the presence of ECoV in Europe and report on the first SARS-CoV-2 seropositive healthy adult horses outside the United States. Commingling for movements by air and close contact to humans may predispose transmission with ECoV and SARS-CoV-2, respectively.

Timing of selective serotonin reuptake inhibitor use and risk for preterm birth and related adverse events: with a consideration of the COVID-19 pandemic period

OBJECTIVE

There is uncertainty around the safety of SSRIs for treating depression during pregnancy. Nevertheless, the use of SSRIs has been gradually increasing, especially during the COVID-19 pandemic period. We aimed to (1) characterize maternal depression rate and use of SSRIs in a recent 10-year period, (2) address confounding by indication, as well as socioeconomic and environmental factors, and (3) evaluate associations of the timing of SSRI exposure in pregnancy with risk for preterm birth (PTB), low birthweight (LBW), and small for gestational age (SGA) infants among women with depression before pregnancy.

METHODS

We conducted propensity score-adjusted regression to calculate odds ratios (ORs) of PTB, LBW, and SGA. We accounted for maternal/pregnancy characteristics, comorbidity, depression severity, time of delivery, social vulnerability, and rural residence.

RESULTS

There were 50.3% and 40.3% increases in the prevalence rate of prenatal depression and prenatal SSRI prescription rate during the pandemic. We identified women with depression ≤180 days before pregnancy (n = 8406). Women with no SSRI order during pregnancy (n = 3760) constituted the unexposed group. The late SSRI exposure group consisted of women with an SSRI order after the first trimester (n = 3759). The early-only SSRI exposure group consisted of women with SSRI orders only in the first trimester (n = 887). The late SSRI exposure group had an increased risk of PTB of OR = 1.5 ([1.2,1.8]) and LBW of OR = 1.5 ([1.2,2.0]), relative to the unexposed group. Associations between late SSRI exposure and risk of PTB/LBW were similar among a subsample of patients who delivered during the pandemic.

CONCLUSIONS

These findings suggest an association between PTB/LBW and SSRI exposure is dependent on exposure timing during pregnancy. Small for gestational age is not associated with SSRI exposure.

Social Experiences and Health Needs of Patients with Severe Mental Illness and their Caregivers during the first year of the COVID-19 pandemic in Spain

BACKGROUND

The strict isolation measures for the population imposed by the health authorities caused a prolonged disruption of informal social support networks. Both this new social situation and the decrease in accessibility to health care have generated new needs in people with severe mental illness (SMI) and their caregivers.

OBJECTIVES

This study provides insight into life experiences and health needs of a population with SMI during the first year of the COVID-19 pandemic in Spain.

METHODS

Qualitative design using semi-structured dyadic interviews, conducted from January through December 2022. A purposive sampling of patients with SMI and their caregivers was carried out through key informants in rural and urban localities in southern Spain. Verbatims were identified and classified by triangulation after the evaluation of the interview transcripts. The codes were defined through content analysis using the NVivo software.

RESULTS

Semi-structured dyadic interviews (21), identifying three main categories: 1. Social isolation: increased, causing greater personal vulnerability, exacerbation of psychiatric symptoms and exhaustion in caregivers. 2. Accessibility to Health Services: decreased with fewer face-to-face consultations, with difficulty in managing urgent situations and telephone attention in decompensated and disabled patients. 3. Continuity of healthcare: decreased with distrust in health professionals due to lack of communication between primary care and the hospital.

CONCLUSION

COVID-19 confinement exacerbated loneliness and worse health self-perception in SMI people. Greater formal social support was required. GPs role is key to avoiding delays in appointments and lack of coordination between primary and specialised care.

Rhinovirus infection and co-infection in children with severe acute respiratory infection during the COVID-19 pandemic period

Rhinovirus causes respiratory tract infections in children and is found in co-infections. The objective of this research was to study the clinical profile of rhinovirus infection and co-infection in children with severe acute respiratory infection (SARI) during the COVID-19 pandemic period. We included 606 children ranging in age from 0.1 to 144 months of age from March 2020 to December 2021, hospitalized in the Pediatric Intensive Care Unit (PICU). The samples were collected by secretion from the nasopharynx region. A total of 259 children were tested positive for viral infection, 153 (59.07%) of them had a single rhinovirus infection and, 56 (36.6%) were aged between 60.1 and 144 months. Nine types of co-infections were identified and were found coinfection with three or more viruses (22/104, 21.15%). Observing the seasonality, the number of cases was similar between 2020 (49.53%) and 2021 (51.47%). Patients with a single infection (86.88%) and coinfection (67.30%) were more likely to have coughed. Patients with co-infection required the use of O2 for longer than those with a single rhinovirus infection. Hemogram results obtained from individuals with a single infection had higher levels of urea when compared to patients with co-infection with and other respiratory viruses. Multiple correspondence analyses indicated different clinical symptoms and comorbidities in patients with co-infection compared to those with single infection. The results found that the rhinovirus was much prevalent virus during the pandemic period and was found in co-infection with other virus types, what is important to diagnostic for the correct treatment of patients.

Rapid Antigen Testing in School Health Offices for Surveillance of SARS-CoV-2 and Influenza A

Context: Evaluation of acute respiratory infections (ARIs) has been disrupted by the SARS-CoV-2 (SC2) pandemic, limiting comprehensive surveillance for respiratory pathogens in clinical settings. Alternatives to using medically attended ARI for public health surveillance are needed. A potential approach involves assessing children and school personnel in school health offices (SHOs) as pandemic-related responses enhanced innovative approaches for SC2 testing in novel settings. Objective: Evaluate the comparability of SC2 and influenza A (FLuA) detection based on rapid antigen testing in SHOs to traditional surveillance systems. Study Design: Prospective evaluation of results from rapid antigen testing for SC2 and FluA in SHOs of a suburban/rural school district compared to large-scale, countywide detection of SC2 and clinic-based surveillance of FluA using cross correlation analyses. Setting: Oregon School District (OSD) in Dane County (DC: southcentral Wisconsin) over two academic years (September 2021-April 2023). Population Studied: School-aged children (4-18 years) and school staff/teachers reporting to SHOs with ARI symptoms. Comparator data included all PCR-based testing for SC2 reported to Public Health Madison & Dane County and PCR-based testing for influenza at five family medicine clinics in DC. Intervention/Instrument: Quidel Sofia SARS/Influenza Fluorescent Immunoassay with wireless transmission of anonymous results to a cloud-based server with availability to the study team. Outcome Measures: Cross correlation and lag estimates for weekly counts of SC2 and FLuA cases comparing school-based and community-based results. Results: The SHOs at the 7 OSD schools performed 1,508 tests with few invalid tests (n=7; 0.46%). Participants had a wide age range [1-71 years] with a median age of 13 years, and included 1,145 (76%) students. SC2: 118 and 119,630 cases were identified in OSD and DC, respectively. The maximum cross correlation (r=0.82) occurred with no time lag. FluA: 61 and 75 cases were identified in OSD and DC, respectively. The maximum cross correlation (r=0.69) occurred with DC lagging OSD by 1 week. Conclusions: Surveillance for significant respiratory pathogens can be based on rapid antigen testing within SHOs, is highly comparable with larger scale surveillance programs, and demonstrates either advanced (FluA) or concurrent detections (SC2). Performance of similar programs are needed in other geographical areas and for other pathogens.

A CNN-SVR model for NO2 profile prediction based on MAX-DOAS observations: The influence of Chinese New Year overlapping the 2020 COVID-19 lockdown on vertical distributions of tropospheric NO2 in Nanjing, China

In this study, a hybrid model, the convolutional neural network-support vector regression model, was adopted to achieve prediction of the NO2 profile in Nanjing from January 2019 to March 2021. Given the sudden decline in NO2 in February 2020, the contribution of the Coronavirus Disease-19 (COVID-19) lockdown, Chinese New Year (CNY), and meteorological conditions to the reduction of NO2 was evaluated. NO2 vertical column densities (VCDs) from January to March 2020 decreased by 59.05% and 32.81%, relative to the same period in 2019 and 2021, respectively. During the period of 2020 COVID-19, the average NO2 VCDs were 50.50% and 29.96% lower than those during the pre-lockdown and post-lockdown periods, respectively. The NO2 volume mixing ratios (VMRs) during the 2020 COVID-19 lockdown significantly decreased below 400 m. The NO2 VMRs under the different wind fields were significantly lower during the lockdown period than during the pre-lockdown period. This phenomenon could be attributed to the 2020 COVID-19 lockdown. The NO2 VMRs before and after the CNY were significantly lower in 2020 than in 2019 and 2021 in the same period, which further proves that the decrease in NO2 in February 2020 was attributed to the COVID-19 lockdown. Pollution source analysis of an NO2 pollution episode during the lockdown period showed that the polluted air mass in the Beijing-Tianjin-Hebei was transported southwards under the action of the north wind, and the subsequent unfavorable meteorological conditions (local wind speed of < 2.0 m/sec) resulted in the accumulation of pollutants.

Chaos theory in the understanding of COVID-19 pandemic dynamics

The chaos theory, a field of study in mathematics and physics, offers a unique lens through which to understand the dynamics of the COVID-19 pandemic. This theory, which deals with complex systems whose behavior is highly sensitive to initial conditions, can provide insights into the unpredictable and seemingly random nature of the pandemic's spread. In this review, we will discuss some literature data with the aim of showing how chaos theory could provide valuable perspectives in understanding the complex and dynamic nature of the COVID-19 pandemic. In particular, we will emphasize how the chaos theory can help in dissecting the unpredictable, non- linear progression of the disease, the importance of initial conditions, and the complex interactions between various factors influencing its spread. These insights are crucial for developing effective strategies to manage and mitigate the impact of the pandemic.

Mission Alliance Community Engagement Project: Exploring the Impact of COVID-19 on Social Isolation, Loneliness, Mental Health and Wellbeing in Veterans

During the Coronavirus disease pandemic, many U.S. veterans with posttraumatic stress disorder (PTSD) experienced increased symptomology and worsened mental health and well-being due in part to social isolation and loneliness. The Mission Alliance project explored these ramifications and prioritized critical issues expressed by U.S. veterans and stakeholders (N = 182) during virtual regional meetings (N = 32). Field notes created specifically for this project were recorded and thematically analyzed. Emerging themes included: (1) social isolation: missed opportunities, collapsed social circles, work-life balance, fostering relationships, and evolving health care delivery; (2) loneliness: deteriorated mental health, suffered with PTSD together but alone, looked out for each other, ambivalence toward technology, and strained and broken systems; (3) mental health: sense of chaos, increased demand and decreased access, aggravation, implementation of tools, innovative solutions, fear and loss, and availability of resources; (4) wellbeing: sense of purpose, holistic perspective on well-being, recognition of balance, persisting stigma, redefined pressures, freedom to direct treatment, and reconnection and disconnection. A PTSD-related patient centered outcomes research (PCOR)/comparative effectiveness research (CER) agenda was developed from these themes. Establishment of a veteran and stakeholder network is suggested to support, facilitate, and promote the PTSD-related PCOR/CER agenda. Furthermore, enhancement of opportunities for veterans with PTSD and stakeholders to partner in PCOR/CER is required to develop and conduct projects that lead to PTSD-related comprehensive care of veterans affected by traumatic events with the potential to translate findings to other populations.

How general practitioners used job crafting strategies during the COVID-19 pandemic in Sweden

OBJECTIVE

General practitioners (GPs) played a crucial role in limiting the impact of the COVID-19 pandemic, and many GPs experienced they did not have the prerequisites to provide adequate care. However, GPs developed approaches that helped them to provide care to patients through various job crafting strategies. The aim of this study is to identify how job crafting strategies were deployed by GPs at the beginning of the COVID-19 pandemic in Sweden and the significance of the strategies on their work situation.

DESIGN

A qualitative design with semi-structured interviews. The data was analysed using qualitative content analysis with job crafting as the conceptual framework for the analysis process.

SETTING

Primary healthcare in five healthcare regions in Sweden.

SUBJECTS

Fourteen GPs participated in individual interviews.

RESULTS

In their endeavours to organise and provide care, GPs shaped the task, relational and cognitive boundaries of their work. GPs felt proud about finding new ways of working when given room to manoeuvre. Intensified collaboration between healthcare professionals made GPs more confident in their clinical work. GPs expressed that they consequently felt stronger in their professional role through what they accomplished in the organisation of care.

CONCLUSIONS/IMPLICATIONS

The results suggest that the job crafting strategies GPs used were meaningful to them in clinical practice. Knowledge about how GPs' job crafting strategies were deployed might be useful for healthcare organisations in preparing for future health crises. Taking advantage of GPs' experiences and strategies is considered important for promoting sustainable working conditions for GPs in the future.

Citizen attitudes towards present and future beef consumption before and after the COVID-19 pandemic

There's been a change in citizens' attitudes towards beef consumption in high-income countries, resulting in a decline in its consumption. The COVID-19 pandemic may have impacted citizens' attitudes and behaviours towards beef consumption. This study aimed to investigate Chilean citizens' attitudes towards beef consumption during the initial 18 months of the pandemic. Socio-demographic characteristics and attitudes towards beef consumption were asked in two questionnaires done in 2020 (n = 1142) and 2021 (n = 1221). Citizens' attitudes to beef eating and production did not change between the start and more than a year after the outbreak of the COVID-19 pandemic. Participants not related with animal production, female, young, and non-meat consumers demonstrated more negative attitudes towards beef consumption and production. Half of the participants agreed that beef is bad for the environment, but only 30% agreed that beef is bad for human health. Half of participants had reduced beef consumption and 48% expressed intentions to reduce beef consumption in the future, primarily motivated by concerns related to animal welfare, the environment, and human health. The majority of participants (80%) thought that their fellow citizens should reduce their beef consumption but only 50% had confidence that this will occur. We conclude that Chilean consumers' attitudes to beef eating did not change due to the outbreak of the COVID-19 pandemic. Participants expressed strong concern about beef consumption both individually and socially, due to environmental, animal and health concerns, and believed Chileans should reduce beef consumption in the future but had low confidence that this will happen.

Children with influenza admitted at a children's hospital in Argentina in the 2019-2022 period: What has changed after the COVID-19 pandemic?

Introduction. During 2020 and 2021, the circulation of influenza virus remained below expectations worldwide. In Argentina, in 2022, we observed an uninterrupted circulation of influenza all year round. Our objectives were to describe the circulation patterns and clinical characteristics of hospitalized children with influenza. Population and methods. Retrospective, analytical, observational study. All children with influenza virus admitted to a children's hospital during the 2019-2022 period were included. Results. A total of 138 patients were admitted over 4 years; in 2019, the rate of hospital discharges was 4.5/1000, compared to 15.1/1000 in 2022. No cases were recorded in 2020 and 2021. In 2019, most cases were observed in the winter; in 79%, the cause was acute lower respiratory tract infection (ALRTI); influenza A was detected in 92%. In 2022, most cases occurred in the spring; 62% developed ALRTI; and influenza A was detected in 56%. Similar rates of vaccination and comorbidities were observed in both periods. Conclusions. In 2022, more hospitalizations due to influenza were recorded, which may have correlated with the use of more sensitive molecular diagnostic testing and a change in seasonality, with more cases observed in the spring. In 2019, influenza A predominated in lower respiratory tract infections, while in 2022, cases of influenza A and B were similar, with more extra-pulmonary forms.

Motivating Protective Behavior against COVID-19: Fear Versus Hope

OBJECTIVES

Based on protection motivation theory, we investigate how indicators of threat perception (perceived severity, perceived vulnerability, and fear arousal) and coping appraisal (hope) are associated with older people's motivation to engage in protective behavior after the outbreak of COVID-19.

METHODS

We use multivariate regression analyses with a sample of 40,282 individuals from 26 countries participating in the SHARE Corona Survey.

RESULTS

We find that 15% of all respondents stayed home completely-mainly the oldest and vulnerable people with prior health risk conditions. On average, older Europeans responded strongly to the recommended protective behavior measures (6 out of 7 measures adopted). Among the threat perception indicators, fear arousal is the main motivator for protective behavior, whereas the coping appraisal indicator hope shows an equally strong association.

DISCUSSION

Given the negative health effects of fear, our findings may help evaluate and revise governmental policy responses and communication strategies.

The COVID Vaccination Hesitancy Epidemic

Uptake of the COVID19 vaccinations has been generally disappointing in the United States. Efforts to overcome vaccine hesitancy could be more effective if public health messaging on the topic emphasized more personal stories rather than statistics on risk reduction.

Vaccine Effectiveness Against SARS-CoV-2 Related Hospitalizations in People who had Experienced Homelessness or Incarceration - Findings from the Minnesota EHR Consortium

COVID-19 disproportionately affects people experiencing homelessness or incarceration. While homelessness or incarceration alone may not impact vaccine effectiveness, medical comorbidities along with social conditions associated with homelessness or incarceration may impact estimated vaccine effectiveness. COVID-19 vaccines reduce rates of hospitalization and death; vaccine effectiveness (VE) against severe outcomes in people experiencing homelessness or incarceration is unknown. We conducted a retrospective, observational cohort study evaluating COVID-19 vaccine VE against SARS-CoV-2 related hospitalization (positive SARS-CoV-2 molecular test same week or within 3 weeks prior to hospital admission) among patients who had experienced homelessness or incarceration. We utilized data from 8 health systems in the Minnesota Electronic Health Record Consortium linked to data from Minnesota's immunization information system, Homeless Management Information System, and Department of Corrections. We included patients 18 years and older with a history of experiencing homelessness or incarceration. VE and 95% Confidence Intervals (CI) against SARS-CoV-2 hospitalization were estimated for primary series and one booster dose from Cox proportional hazard models as 100*(1-Hazard Ratio) during August 26, 2021, through October 8, 2022 adjusting for patient age, sex, comorbid medical conditions, and race/ethnicity. We included 80,051 individuals who had experienced homelessness or incarceration. Adjusted VE was 52% (95% CI, 41-60%) among those 22 weeks or more since their primary series, 66% (95% CI, 53-75%) among those less than 22 weeks since their primary series, and 69% (95% CI: 60-76%) among those with one booster. VE estimates were consistently lower during the Omicron predominance period compared with the combined Omicron and Delta periods. Despite higher exposure risk, COVID-19 vaccines provided good effectiveness against SARS-CoV-2 related hospitalizations in persons who have experienced homelessness or incarceration.

Patient-reported outcomes in advanced NSCLC before and during the COVID-19 pandemic: Real-world data from the German prospective CRISP Registry (AIO-TRK-0315)

Patients with lung cancer under treatment have been associated with a high risk of COVID-19 infection and potentially worse outcome, but real-world data on patient-reported outcomes (PROs) are rare. We assess patients' characteristics and PROs before and during the COVID-19 pandemic in an advanced non-small cell lung cancer (NSCLC) cohort in Germany. Patients with locally advanced or metastatic NSCLC from the prospective, multicentre, observational CRISP Registry (NCT02622581) were categorised as pre-pandemic (March 2019 to Feb 2020, n = 1621) and pandemic (March 2020 to Feb 2021, n = 1317). From baseline to month 15, patients' health-related quality of life (HRQoL) was assessed by FACT-L, anxiety and depression by PHQ-4. Association of pandemic status with time to deterioration (TTD) in QoL scales adjusted for potential covariates was estimated using Cox modelling. PROs were documented for 1166 patients (72%) in the pre-pandemic, 979 (74%) in the pandemic group. Almost 60% of patients were male, median age was 66 years, comorbidities occurred in 85%. Regarding HRQoL, mean-change-from-baseline plots hardly differed between both samples. Approximately 15%-21% of patients reported anxiety, about 19%-27% signs of depression. For the pandemic group, TTD was slightly, but statistically significantly, worse for the physical well-being-FACT-G subscale (HR 1.15 [95%CI 1.02-1.30]) and the anxiety-GAD-2 subscale (HR 1.14 [95%CI 1.01-1.29]). These prospectively collected real-world data provide valuable insights into PROs before and during the COVID-19 pandemic in advanced NSCLC. For the patients, the pandemic seemed to be less of a burden than the disease itself, as there was a considerable proportion of patients with anxiety and depression in both groups.

Caregiver burden and impact on COVID-19 patient participation and quality of life one year after ICU discharge - A prospective cohort study

OBJECTIVES

to investigate changes in caregiver strain, mental health complaints and QoL in caregivers of COVID-19 ICU survivors in the first year after discharge, and their associations with patients' participation and quality of life.

METHODS

Post-ICU COVID-19 survivors, needing inpatient rehabilitation and their informal caregivers were included. Caregiver self-administered questionnaires included quality of life, self-rated health, caregiver strain, anxiety and depression symptoms, post-traumatic stress and coping style. Patients' participation in society was assessed and quality of life.

RESULTS

67 patients (78% male) and 57 caregivers (23.6% male) were included. Three months post-ICU, caregivers experienced caregiver strain (32%), anxiety (41%), depressive symptoms (16%) and PTSD (24%). One year post-ICU, rates decreased, still being 11%, 26%, 10% and 5%, respectively. Caregiver anxiety symptoms and self-rated health at three months were associated with worse patient levels of participation and quality of life one year after ICU discharge (p < 0.05).

CONCLUSIONS

COVID-19 caregivers experience high levels of mental health complaints one year after a patient's ICU discharge. Furthermore, our results indicate that patient participation levels and quality of life one year after ICU discharge may be negatively associated by caregiver complaints.

PRACTICAL IMPLICATIONS

Counselling and routine assessment of emotional complaints and unmet needs of the informal caregiver should be incorporated and addressed in the rehabilitation treatment of (COVID-19) post-ICU patients.

Health checkups during the pandemic and clinical impact of COVID-19 in children with neuromuscular disease

Introduction. Children with neuromuscular disease (NMD) require chronic health care (CHC) and may develop severe COVID-19. Objectives. To describe CHC for children with NMD during the pandemic and the course of COVID-19 in this group. Population and methods. Prospective, single-center cohort. Patients aged 2 to 18 years with ≥ 1 year of follow-up prior to the pandemic were included. Demographic variables in relation to CHC and COVID-19 were collected from medical records and via telephone surveys. Results. A total of 226 patients with a median age of 11.3 years were included; 71% were males. They had muscular dystrophy (55.7%) and spinal muscular atrophy (23%). When comparing the first year of the pandemic with the previous year, 30% did not have a health checkup and 25% did not receive kinesiotherapy. Others did, but with a lower frequency. A total of 52 COVID-19 cases were reported; 82% were symptomatic: 88.4% were mild/moderate and 11.6%, severe. No patient died. Conclusions. The pandemic had a negative impact on CHC, and COVID-19 cases were mostly mild.

Inter-relationships between suicidality and depressive symptoms among children and adolescents experiencing crisis: A network perspective

OBJECTIVES

Suicidality and depressive symptoms have emerged as major mental health issues reported among children and adolescents experiencing crises. In light of these concerns, this study was conducted to elucidate interrelationships between depressive symptoms and suicidality at an item level within this population during the COVID-19 pandemic, a worldwide public health crisis affecting children and adolescents.

METHOD

A cross-sectional study design was used. Primary and secondary school students completed the Children's Depression Inventory - Short Version (CDI-S) and two standard suicidality questions tapping suicidal ideation and suicide plans, respectively. A network analysis was performed to examine inter-connections between depressive symptoms and suicidality.

RESULTS

A total of 5380 students participated in the study. Prevalence of suicidal ideation and suicide plans were 12.8 % (95 % CI = 11.9 %-13.7 %) and 9.9 % (95 % CI = 9.2 %-10.8 %), respectively; the prevalence of depressive symptoms was 41.2 % (95%CI = 39.8 %-42.5 %). The network analysis identified CDI4 (self-hatred) as the most influential node with the highest centrality, followed by CDI8 (loneliness), CDI5 (crying), and CDI1 (sadness). Additionally, CDI5 (crying), CDI1 (sadness), CDI4 (self-hatred), and CDI10 (feeling unloved) were the most meaningful nodes linking depressive symptoms with suicidality.

CONCLUSIONS

Critical depressive symptoms linked with suicidality among children and adolescents living through the COVID-19 pandemic included self-hatred, loneliness, crying, and sadness. Interventions that target these depressive symptoms may have increased utility in reducing the risk of suicidality within this population.

Mental Health Service Use, Barriers, and Service Preferences During COVID-19 among Low-Income Housing and Market-Rate Housing Residents of Harlem in New York City

This study examined the differences in mental health service use, barriers, and service preferences among 393 low-income housing (LIH) and market-rate housing (MRH) Harlem residents in New York City. One-third (34.6%) endorsed the need for professional support for psychological issues, 27.2% and 15.8% reported using counseling services and psychotropic medication, with no differences between housing types. LIH residents (21.6-38.8%) reported significantly higher use of all types of mental health resources (e.g., websites, anonymous hotlines, self-help tools) compared with MRH residents (16.1-26.4%). Eighty-six percent reported barriers to mental health access, with LIH residents reporting more than double the barriers. Particularly, LIH residents reported greater difficulty getting time off work (34.1% vs. 14%), lack of health insurance (18.7% vs. 9.8%), lack of trust in mental health providers (14.6% vs. 4.7%), and stigma (12.2% vs. 5.1%) compared with MRH residents. Residents most preferred places of services were health clinics and houses of worship; provided by healthcare and mental health providers; and services delivered in-person and phone-based counseling. In contrast, residents least preferred getting support at mental health clinics; from family/friends; and by the Internet. No differences were found between service preferences by housing type. LIH residents reported higher use of mental health services and resources, but they face significantly more barriers to mental health care, suggesting a need to address specific barriers. Preferences for mental health services suggest a need for expanding mental health services to different settings given the low preference for services to be delivered at mental health clinics.

Pressure injuries in mechanically ventilated COVID-19 patients utilising different prone positioning techniques - A prospective observational study

OBJECTIVES

To compare the incidence and distribution of pressure injuries (PIs) with two approaches to prone positioning for mechanically ventilated COVID-19 patients, and to determine the prevalence of these PIs on intensive care unit (ICU) and hospital discharge.

DESIGN

A prospective observational study.

SETTING

Adult patients admitted to a quaternary ICU with COVID-19-associated acute lung injury, between September 2021 and February 2022.

MAIN OUTCOME MEASURES

Incidence and anatomical distribution of PIs during ICU stay for "Face Down" and "Swimmers Position" as well as on ICU and hospital discharge.

RESULTS

We investigated 206 prone episodes in 63 patients. In the Face Down group, 26 of 34 patients (76 %) developed at least one PI, compared to 10 of 22 patients (45 %) in the Swimmers Position group (p = 0.02). Compared to the Swimmers Position group, the Face Down group developed more pressure injuries per patient (median 1 [1, 3] vs 0 [0, 2], p = 0.04) and had more facial PIs (p = 0.002). In a multivariate logistic regression model, patients were more likely to have at least one PI with Face Down position (OR 4.67, 95 % CI 1.28, 17.04, p = 0.02) and greater number of prone episodes (OR 1.75, 95 % CI 1.12, 2.74, p = 0.01). Over 80 % of all PIs were either stage 1 or stage 2. By ICU discharge, 29 % had healed and by hospital discharge, 73 % of all PIs had healed.

CONCLUSION

Swimmers Position had a significantly lower incidence of PIs compared to the Face Down approach. One-quarter of PIs had healed by time of ICU discharge and three-quarters by time of hospital discharge.

IMPLICATIONS FOR CLINICAL PRACTICE

There are differences in incidence of PIs related to prone positioning approaches. This study validates and helps better inform current prone position guidelines recommending the use of Swimmers Position. The low prevalence of PIs at hospital discharge is reassuring.

Human movement avoidance decisions during Coronavirus disease 2019 in Japan

Understanding host behavioral change in response to epidemics is important to forecast the disease dynamics. To predict the behavioral change relevant to the epidemic situation (e.g., the number of reported cases), we need to know the epidemic situation at the moment of decision, which is difficult to identify from the records of actually performed human mobility. In this study, the largest travel accommodation reservation data covering half of the existed accommodations in Japan was analyzed to observe decision-making timings and how it responded to the changing epidemic situation during Japan's Coronavirus Disease 2019 until February 2023. To this end, we measured mobility avoidance index proposed in Ito et al., 2022 to indicate people's decision of mobility avoidance and quantified it using the time-series of the accommodation booking/cancellation data. We observed matches of the peak dates of the mobility avoidance and the number of reported cases, and mobility avoidance changed proportional to the logarithmic number of reported cases. We also found that the slope of mobility avoidance against the change of the logarithmic number of reported cases were similar among the epidemic waves, while the intercept of that was much reduced as the first epidemic wave passed by. People measure the intensity of epidemic by logarithm of the number of reported cases. The sensitivity of their response is established during the first wave and the people's response became weakened after the first experience, as if the number of reported cases were multiplied by a constant small factor.

Tailored wastewater surveillance framework uncovered the epidemics of key pathogens in a Northwestern city of China

Wastewater surveillance enables rapid pathogen monitoring and community prevalence estimation. However, how to design an integrated and tailored wastewater surveillance framework to monitor major health threats in metropolises remains a major challenge. In this study, we first analyzed the historical clinical data of Xi'an city and designed a wastewater surveillance framework covering five key endemic viruses, namely, SARS-CoV-2, norovirus, influenza A virus (IAV), influenza B virus (IBV), respiratory syncytial virus (RSV), and hantavirus. Amplicon sequencing of SARS-CoV-2, norovirus and hantavirus was conducted biweekly to determine the prevalent community genotypes circulating in this region. The results showed that from April 2023 to August 2023, Xi'an experienced two waves of SARS-CoV-2 infection, which peaked in the middle of May-2023 and late August-2023. The sewage concentrations of IAV and RSV peaked in early March and early May 2023, respectively, while the sewage concentrations of norovirus fluctuated throughout the study period and peaked in late August. The dynamics of the sewage concentrations of SARS-CoV-2, norovirus, IAV, RSV, and hantavirus were in line with the trends in the sentinel hospital percent positivity data, indicating the role of wastewater surveillance in enhancing the understanding of epidemic trends. Amplicon sequencing of SARS-CoV-2 revealed a transition in the predominant genotype, which changed from DY.1 and FR.1.4 to the XBB and EG.5 subvariants. Amplicon sequencing also revealed that there was only one predominant hantavirus genotype in the local population, while highly diverse genotypes of norovirus GI and GII were found in the wastewater. In conclusion, this study provided valuable insights into the dynamics of infection trends and predominant genotypes of key pathogens in a city without sufficient clinical surveillance, highlighting the role of a tailored wastewater surveillance framework in addressing public health priorities. More importantly, our study provides the first evidence demonstrating the applicability of wastewater surveillance for hantavirus, which is a major health threat locally.

Modeling assessment of air pollution control measures and COVID-19 pandemic on air quality improvements over Greater Bay Area of China

A remarkable progress has been made toward the air quality improvements over the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) of China from 2017 to 2020. In this study, for the first time, the emission reductions of regional control measures together with the COVID-19 pandemic were considered simultaneously into the development of the GBA's emission inventories for the years of 2017 and 2020. Based on these collective emission inventories, the impacts of control measures, meteorological variations together with temporary COVID-19 lockdowns on the five major air quality index pollutants (SO2, NO2, PM2.5, PM10, and O3, excluding CO) were evaluated using the WRF-CMAQ and SMAT-CE model attainment assessment tool over the GBA region. Our results revealed that control measures in the Pearl River Delta (PRD) region affected significantly the GBA, resulting in pollutant reductions ranging from 48 % to 64 %. In contrast, control measures in Hong Kong and Macao contributed to pollutant reductions up to 10 %. In PRD emission sectors, stationary combustion, on-road, industrial processes and dust sectors stand out as the primary contributors to overall air quality improvements. Moreover, the COVID-19 pandemic during period I (Jan 23-Feb 23) led to a reduction of NO2 concentration by 7.4 %, resulting in a negative contribution (disbenefit) for O3 with an increase by 2.4 %. Our findings highlight the significance of PRD control measures for the air quality improvements over the GBA, emphasizing the necessity of implementing more refined and feasible manageable joint prevention and control policies.

Measuring SARS-CoV-2 RNA concentrations in neighborhood wastewater

Longitudinal wastewater sampling during the COVID-19 pandemic was an important aspect of disease surveillance, adding to a more complete understanding of infection dynamics and providing important data for community public health monitoring and intervention planning. This was largely accomplished by testing SARS-CoV-2 RNA concentrations in samples from municipal wastewater treatment plants (WWTPs). We evaluated the utility of testing for virus levels upstream from WWTP within the residential neighborhoods that feed into the WWTP. We propose that monitoring virus dynamics across residential neighborhoods could reveal important public health-relevant information about community sub-group heterogeneity in virus concentrations. PRINCIPAL RESULTS: Virus concentration patterns display heterogeneity within neighborhoods and between neighborhoods over time. Sewage SARS-CoV-2 RNA concentrations as measured by RT-qPCR also corresponded closely to verified COVID-19 infection counts within individual neighborhoods. More importantly, our data suggest the loss of disease-relevant public health information when sampling occurs only at the level of WWTP instead of upstream in neighborhoods. Spikes in SARS-CoV-2 RNA concentrations in neighborhoods are often masked by dilution from other neighborhoods in the WWTP samples. MAJOR CONCLUSIONS: Wastewater-based epidemiology (WBE) employed at WWTP reliably detects SARS-CoV-2 in a city-sized population but provides less actionable public health information about neighborhoods experiencing greater viral infection and disease. Neighborhood sewershed sampling reveals important population-based information about local virus dynamics and improves opportunities for public health intervention. Longitudinally employed, neighborhood sewershed surveillance may provide a 3-6 day early warning of SARS-CoV-2 infection spikes and, importantly, highly specific information on subpopulations in a community particularly at higher risk at different points in time. Sampling in neighborhoods may thus provide timely and cost-saving information for targeted interventions within communities.