The effectiveness of intervention measures on MERS-CoV transmission by using the contact networks reconstructed from link prediction data.

Introduction: Mitigating the spread of infectious diseases is of paramount concern for societal safety, necessitating the development of effective intervention measures. Epidemic simulation is widely used to evaluate the efficacy of such measures, but realistic simulation environments are crucial for meaningful insights. Despite the common use of contact-tracing data to construct realistic networks, they have inherent limitations. This study explores reconstructing simulation networks using link prediction methods as an alternative approach. Methods: The primary objective of this study is to assess the effectiveness of intervention measures on the reconstructed network, focusing on the 2015 MERS-CoV outbreak in South Korea. Contact-tracing data were acquired, and simulation networks were reconstructed using the graph autoencoder (GAE)-based link prediction method. A scale-free (SF) network was employed for comparison purposes. Epidemic simulations were conducted to evaluate three intervention strategies: Mass Quarantine (MQ), Isolation, and Isolation combined with Acquaintance Quarantine (AQ + Isolation). Results: Simulation results showed that AQ + Isolation was the most effective intervention on the GAE network, resulting in consistent epidemic curves due to high clustering coefficients. Conversely, MQ and AQ + Isolation were highly effective on the SF network, attributed to its low clustering coefficient and intervention sensitivity. Isolation alone exhibited reduced effectiveness. These findings emphasize the significant impact of network structure on intervention outcomes and suggest a potential overestimation of effectiveness in SF networks. Additionally, they highlight the complementary use of link prediction methods. Discussion: This innovative methodology provides inspiration for enhancing simulation environments in future endeavors. It also offers valuable insights for informing public health decision-making processes, emphasizing the importance of realistic simulation environments and the potential of link prediction methods.

Changes in admission rates to an Aotearoa New Zealand hospital general medical service during COVID-19 lockdowns.

AIM: To better understand the reasons for reduced hospital admissions to a hospital general medicine service during COVID-19 lockdowns. METHODS: A statistical model for admission rates to the General Medicine Service at Wellington Hospital, Aotearoa New Zealand, since 2015 was constructed. This model was used to estimate changes in admission rates for transmissible and non-transmissible diagnoses during and following COVID-19 lockdowns for total admissions and various sub-groups. RESULTS: For the 2020 lockdown (n=734 admissions), the overall rate ratio of admissions was 0.71 compared to the pre-lockdown rate. Non-transmissible diagnoses, which constitute 87% of admissions, had an admission rate ratio of 0.77. Transmissible diagnoses, constituting 13% of admissions, had an admission rate ratio of 0.44. Reductions in admissions did not exacerbate existing ethnic disparities in access to health services. The lag in recovery of admission rates was more pronounced for transmissible than non-transmissible diagnoses. The 2021 lockdown (n=105 admissions) followed this pattern, but was of shorter duration with small numbers, and therefore measures were frequently not statistically significant. CONCLUSIONS: The biggest relative reduction in hospital admission was due to a reduction in transmissible illness admissions, likely due to COVID-related public health measures. However, the biggest reduction in absolute terms was in non-transmissible illnesses, where hospital avoidance may be associated with increased morbidity or mortality.

Self-management challenges of adults with type 2 diabetes mellitus in Ekurhuleni district primary health care facilities amid COVID-19 lockdown.

BACKGROUND:  Self-management is highly recommended in managing type 2 diabetes mellitus (T2DM). Amid the coronavirus disease 2019 (COVID-19) lockdown, many restrictions were imposed, which might have affected the continuum of care and self-management. However, little is known about how people with T2DM experienced self-management during COVID-19 lockdown within the primary health care (PHC) facilities. AIM:  The study explored and described the self-management challenges of adults with T2DM in Ekurhuleni PHC facilities amid COVID-19 level 5 and 4 lockdowns. SETTING:  The study was conducted in three community health centres in Ekurhuleni which are rendering PHC services. METHODS:  A phenomenological, qualitative, exploratory, and descriptive design was utilised. Purposive sampling was used to select adult patients with T2DM. Data were collected telephonically between July 2022 and August 2022 using semi-structured interviews. Inductive content analysis was used to analyse data. RESULTS:  Two themes emerged from the interviews, namely, uncontrolled blood glucose levels and financial challenges. CONCLUSION:  The patients with T2DM experienced uncontrolled blood glucose levels and financial challenges during the COVID-19 lockdown. Guidelines to improve self-management programmes during restrictions are needed to promote good health during future pandemics to prevent complications and mortality. The telehealth model can be designed to monitor chronic patients at home during lockdown as a two-way communication.Contribution: More knowledge and insight into self-management and health promotion of patients with T2DM was provided by this study. Increased training needs arose for PHC nurses in managing and monitoring patients.

Large environmental changes reduce valence-dependent belief updating.

When updating beliefs, humans tend to integrate more desirable information than undesirable information. In stable environments (low uncertainty and high predictability), this asymmetry favors motivation towards action and perceived self-efficacy. However, in changing environments (high uncertainty and low predictability), this process can lead to risk underestimation and increase unwanted costs. Here, we examine how people (n = 388) integrate threatening information during an abrupt environmental change (mandatory quarantine during the COVID-19 pandemic). Given that anxiety levels are associated with the magnitude of the updating belief asymmetry; we explore its relationship during this particular context. We report a significant reduction in asymmetrical belief updating during a large environmental change as individuals integrated desirable and undesirable information to the same extent. Moreover, this result was supported by computational modeling of the belief update task. However, we found that the reduction in asymmetrical belief updating was not homogeneous among people with different levels of Trait-anxiety. Individuals with higher levels of Trait-anxiety maintained a valence-dependent updating, as it occurs in stable environments. On the other hand, updating behavior was not associated with acute anxiety (State-Anxiety), health concerns (Health-Anxiety), or having positive expectations (Trait-Optimism). These results suggest that highly uncertain environments can generate adaptive changes in information integration. At the same time, it reveals the vulnerabilities of individuals with higher levels of anxiety to adapt the way they learn.

Age at death during the Covid-19 lockdown in French metropolitan regions: a non parametric quantile regression approach.

BACKGROUND: Lockdowns have been implemented to limit the number of hospitalisations and deaths during the first wave of 2019 coronavirus disease. These measures may have affected differently death characteristics, such age and sex. France was one of the hardest hit countries in Europe with a decreasing east-west gradient in excess mortality. This study aimed at describing the evolution of age at death quantiles during the lockdown in spring 2020 (17 March-11 May 2020) in the French metropolitan regions focusing on 3 representatives of the epidemic variations in the country: Bretagne, Ile-de-France (IDF) and Bourgogne-Franche-Comté (BFC). METHODS: Data were extracted from the French public mortality database from 1 January 2011 to 31 August 2020. The age distribution of mortality observed during the lockdown period (based on each decile, plus quantiles 1, 5, 95 and 99) was compared with the expected one using Bayesian non-parametric quantile regression. RESULTS: During the lockdown, 5457, 5917 and 22 346 deaths were reported in Bretagne, BFC and IDF, respectively. An excess mortality from + 3% in Bretagne to + 102% in IDF was observed during lockdown compared to the 3 previous years. Lockdown led to an important increase in the first quantiles of age at death, irrespective of the region, while the increase was more gradual for older age groups. It corresponded to fewer young people, mainly males, dying during the lockdown, with an increase in the age at death in the first quantile of about 7 years across regions. In females, a less significant shift in the first quantiles and a greater heterogeneity between regions were shown. A greater shift was observed in eastern region and IDF, which may also represent excess mortality among the elderly. CONCLUSIONS: This study focused on the innovative outcome of the age distribution at death. It shows the first quantiles of age at death increased differentially according to sex during the lockdown period, overall shift seems to depend on prior epidemic intensity before lockdown and complements studies on excess mortality during lockdowns.

New framework to assess tracing and testing based on South Korea's response to COVID-19.

South Korea's remarkable success in controlling the spread of COVID-19 during the pre-Omicron period was based on extensive contact tracing and large-scale testing. Here we suggest a general criterion for tracing and testing based on South Korea's experience, and propose a new framework to assess tracing and testing. We reviewed papers on South Korea's response to COVID-19 to capture its concept of tracing and testing. South Korea expanded its testing capabilities to enable group tracing combined with preemptive testing, and to conduct open testing. According to our proposed model, COVID-19 cases are classified into 4 types: confirmed in quarantine, source known, source unknown, and unidentified. The proportion of the first two case types among confirmed cases is defined as "traced proportion", and used as the indicator of tracing and testing effectiveness. In conclusion, South Korea successfully suppressed COVID-19 transmission by maintaining a high traced proportion (> 60%) using group tracing in conjunction with preemptive testing as a complementary strategy to traditional contact tracing.

Factors predicting self-care behavior of cardiovascular patients during the COVID-19 epidemic.

BACKGROUND: The COVID-19 virus has had wide-ranging effects on all healthcare systems and a direct impact on all areas of human life in all countries around the world. Therefore, it is necessary to take preventive actions to reduce the prevalence and severity of the complications associated with this disease. The purpose of this study was to explain the dimensions of adopting general self-care behaviors (mask-wearing, social distancing, hand hygiene, and home quarantine) for preventing COVID-19 based on the theory of planned behavior (TPB) in cardiovascular patients. METHODS: This was a descriptive-analytical study conducted with the participation of 420 patients referring to health and treatment centers of Ahvaz, southwest of Iran, in 2022. Sampling was done using a non-random (convenience) method. The data collection tool was a questionnaire containing items addressing demographic characteristics, questions related to the TPB, and questions dealing with the adoption of everyday self-care behaviors against contracting COVID-19. Data were analyzed using descriptive and inferential statistical methods (prevalence, mean, standard deviation, Pearson's correlation coefficient, and linear regression) in SPSS version 25. RESULTS: The results of this study showed that the rate of adoption of self-care behaviors against COVID-19 among cardiovascular patients was moderate. The results also showed that among the constructs of the TPB, Perceived behavioral control, Subjective norms, and Perceived behavioral intention were the most important predictors of adopting self-care behaviors among cardiovascular patients with a change variance of 46%. CONCLUSIONS: The results of the present study have implications for health and treatment policy makers as well as planners of educational and behavioral interventions aimed at promoting the adoption of self-care behaviors against COVID-19. In this respect, managing and institutionalizing desirable behaviors among cardiovascular patients could be beneficial from economic, social, and health-related aspects.

Critical appraisal of how COVID-19 infection and imposed lockdowns have impacted gastroesophageal reflux: A review.

Previous literature has demonstrated that COronaVIrus Disease of 2019 (COVID-19) impacts an individual gastrointestinal tract (GIT), causing symptoms like nausea, diarrhea, and loss of appetite. Severe acute respiratory syndrome coronavirus RNA has been discovered in the stool of infected individuals in earlier research. It was discovered that severe acute respiratory syndrome coronavirus was significantly expressed in the GIT, indicating that the virus can also infect the digestive system. Angiotensin-converting enzyme 2 functions as the viral receptor. The chronic illness known as gastroesophageal reflux disease (GERD) is typified by frequent reflux of stomach acid into the esophagus. By triggering the sensitized esophageal-bronchial neuronal circuit or aspirating into the airways (microaspiration), GER exacerbates respiratory diseases. Aspiration is a well-known risk to be considered when treating patients in intensive care units. Strong genetic correlations have been identified between COVID-19 infection and GERD susceptibility, suggesting a shared genetic basis for both conditions. Nonetheless, even though GERD, extraesophageal reflex, and COVID-19 have a number of significant risk factors and exhibit similar symptoms, the relationship between these illnesses has not yet been examined in depth. This review is the first of its kind to critically examine the association between the COVID-19 epidemic and GER and its associated diseases. The key objective of this work is to promote the creation of prevention plans, treatment plans, and guidelines while also enhancing and optimizing our understanding of the relationship between COVID-19 and GERs.

The delivery of creative socially prescribed activities for people with serious mental health needs during lockdown: Learning about remote, digital and hybrid delivery.

BACKGROUND: Social prescribing interventions connect mental health service users to community resources, to support physical and mental wellbeing and promote recovery. COVID-19 restrictions impacted the delivery of socially prescribed activities, preventing face to face contact for long periods. AIMS: The aim of this study was to understand how Voluntary Community and Social Enterprise (VCSE) organisations working with a local NHS mental health Trust responded to the challenges of social distancing during the COVID-19 pandemic. This understanding will be used to make recommendations for future practice, post-lockdown. METHODS: Using a convergent mixed methods design, we surveyed VCSE providers of socially prescribed activities intended to be accessible and appropriate for people with severe mental health needs. Follow-up interviews explored further how they adapted during the first year of the pandemic, the challenges they faced, and how they sought to overcome them. The survey and interview data were analysed separately and then compared to identify convergent and divergent findings. RESULTS: Twenty VCSE representatives completed the survey which provided a snapshot of changes in levels of connection and numbers reached during lockdown. Of 20 survey respondents, 11 participated in follow-up interviews. Interviews revealed that lockdown necessitated rapid change and responsive adaptation; activities were limited by resource, funding, safeguarding and government restrictions; no single format suited all group members; connection was key; and impact was difficult to gauge. CONCLUSIONS: VCSE organisations commissioned to deliver creative socially prescribed activities during the pandemic rapidly adapted their offer to comply with government restrictions. Responsive changes were made, and new knowledge and skills were gained. Drawing on experiences during lockdown, VCSE organisations should develop bespoke knowledge, skills and practices to engage service users in future hybrid delivery of arts, sports, cultural and creative community activities, and to ensure that digital activities offer an equivalent degree of connection to face-to-face ones. Additionally, more effective methods of gaining feedback about patient experience of hybrid delivery is needed.

Provision of Telepsychological Care Via Email during COVID-19 Confinement: An Exploratory Study.

Within teletherapy, email interventions have been studied scarcely. For this reason, this exploratory study aims to characterize the assistance provided by email in a university telepsychology service and to compare the data with the assistance provided by telephone in the same service and period. For this purpose, the records of 81 users assisted via email during the COVID-19 pandemic lockdown in Spain were analyzed. The data were compared with those of the 338 users assisted by telephone in the same period. Despite its many limitations, results indicate high satisfaction with the email modality. Users express that they prefer a preference for using email when they do not feel safe in other ways. We found a lot of variation between the number of emails exchanged and the days that each case was active. Additionally, differences were found with telephone users in aspects such as age (email users being younger) and in a depression screening (email users scoring more positively). This study concludes on the high potential of this channel for the application of certain techniques (e.g., psychoeducation) or for people with certain characteristics.

The risk and protective factors on the mental health of healthcare workers during the lockdown period due to covid-19 pandemic.

This study aimed to analyze the impact of the lockdown period due to COVID-19 pandemic on the mental health status of healthcare workers and identify the related risk factors of psychosomatic distress. We conducted an online questionnaire survey to investigate the general demographic characteristics, perceived stress level, adult attachment style (AAS), family cohesion and adaptability, social support, sleep state, emotional state, and physical health of healthcare workers during the lockdown period due to the pandemic in 2022. We compared the mental health status between doctors and nurses, and further analyzed the factors influencing sleep, emotions, physical symptoms, and severe psychosomatic distress separately. For factors that showed statistical significance in the univariate analysis, forward stepwise regression was used for logistic regression analysis to identify risk factors for the corresponding issues. A total of 622 healthcare workers participated in the survey. Among the participants, 121 (19.5%) reported sleep problems, 209 (33.6%) had negative emotional states, and 147 (23.6%) reported physical health problems. There were 48 (7.7%) healthcare workers with severe psychosomatic distress. Compared to the group of nurses, the group of doctors exhibit a higher prevalence of emotional issues, physical health problems and psychosomatic distress. Perceived stress was identified as a risk factor for sleep disturbance, while living with others during quarantine and family adaptability were identified as protective factors. Higher educational background and perceived stress were identified as risk factors for negative emotion, while subjective support was identified as a protective factor. Perceived stress and coming from a rural area were also identified as risk factors for physical health. Overall, for the comparison between the no psychosomatic distress and severe psychosomatic distress groups, perceived stress was identified as a risk factor for severe psychosomatic distress, while subjective support was identified as a protective factor. Healthcare workers' potential mental and physical health problems are related to their educational background, family cohesion and adaptability, perceived stress and social support. This makes it clearer on how to deal with and prevent adverse consequences when facing stressful situations.

Caregiver and Child Mental Health During 3 Years of the COVID-19 Pandemic.

BACKGROUND AND OBJECTIVES: Coronavirus disease 2019 (COVID-19) lockdowns (stay-at-home orders) had significant mental health consequences in 2020 to 2021 for caregivers and children. Little is known about "postlockdown" periods in 2022 to 2023. We investigated the mental health experiences of Australian families throughout the 3 years of the COVID-19 pandemic (2020-2023), by demographic characteristics and lockdown length. METHODS: A total N = 12 408 caregivers (N = 20 339 children, aged 0-17 years) completed Australia's only representative, repeated, cross-sectional, National Child Health Poll across 6 waves (June 2020-April 2023). Caregivers reported mental health for themselves (Kessler-6, poor versus not) and each child (self-rated mental health, poor/fair versus good/very good/excellent), and perceived impacts of the pandemic on own/child mental health (negative versus none/positive). Binary logistic models were fitted to predict marginal probabilities of each mental health measure by state/territory group (proxy for lockdown length), over time, adjusted for potential demographic confounders. RESULTS: Poor caregiver Kessler-6 was similar between genders but more common for sole caregivers, and those with a home language other than English and lower education. Poor/fair child self-rated mental health was similar between genders and increased with child age. Perceived negative impacts were more common for females and socially advantaged caregivers. Overall, negative mental health experiences increased with lockdown length, peaking with the height of lockdown in July 2021, before declining. CONCLUSIONS: Negative mental health experiences of Australian caregivers and children decreased during postlockdown periods of 2022-2023; however, social gradients persisted. These data can inform more precise mental health policies that enable better use of limited mental health infrastructure.

Effects of COVID-19-targeted non-pharmaceutical interventions on pediatric hospital admissions in North Italian hospitals, 2017 to 2022: a quasi-experimental study interrupted time-series analysis.

Background: The use of Non-Pharmaceutical Interventions (NPIs), such as lockdowns, social distancing and school closures, against the COVID-19 epidemic is debated, particularly for the possible negative effects on vulnerable populations, including children and adolescents. This study therefore aimed to quantify the impact of NPIs on the trend of pediatric hospitalizations during 2 years of pandemic compared to the previous 3 years, also considering two pandemic phases according to the type of adopted NPIs. Methods: This is a multicenter, quasi-experimental before-after study conducted in 12 hospitals of the Emilia-Romagna Region, Northern Italy, with NPI implementation as the intervention event. The 3 years preceding the beginning of NPI implementation (in March 2020) constituted the pre-pandemic phase. The subsequent 2 years were further subdivided into a school closure phase (up to September 2020) and a subsequent mitigation measures phase with less stringent restrictions. School closure was chosen as delimitation as it particularly concerns young people. Interrupted Time Series (ITS) regression analysis was applied to calculate Hospitalization Rate Ratios (HRR) on the diagnostic categories exhibiting the greatest variation. ITS allows the estimation of changes attributable to an intervention, both in terms of immediate (level change) and sustained (slope change) effects, while accounting for pre-intervention secular trends. Results: Overall, in the 60 months of the study there were 84,368 cases. Compared to the pre-pandemic years, statistically significant 35 and 19% decreases in hospitalizations were observed during school closure and in the following mitigation measures phase, respectively. The greatest reduction was recorded for "Respiratory Diseases," whereas the "Mental Disorders" category exhibited a significant increase during mitigation measures. ITS analysis confirms a high reduction of level change during school closure for Respiratory Diseases (HRR 0.19, 95%CI 0.08-0.47) and a similar but smaller significant reduction when mitigation measures were enacted. Level change for Mental Disorders significantly decreased during school closure (HRR 0.50, 95%CI 0.30-0.82) but increased during mitigation measures by 28% (HRR 1.28, 95%CI 0.98-1.69). Conclusion: Our findings provide information on the impact of COVID-19 NPIs which may inform public health policies in future health crises, plan effective control and preventative interventions and target resources where needed.

Controlling COVID-19 outbreaks in the correctional setting: A mathematical modelling study.

Correctional centres (termed here 'prisons') are at high risk of COVID-19 and have featured major outbreaks worldwide. Inevitable close contacts, frequent inmate movements, and a disproportionate burden of co-morbidities mean these environments need to be prioritised in any public health response to respiratory pathogens such as COVID-19. We developed an individual-based SARS-CoV-2 transmission model for the prison system in New South Wales, Australia - incorporating all 33 correctional centres, 13,458 inmates, 578 healthcare and 6,909 custodial staff. Potential COVID-19 disease outbreaks were assessed under various mitigation strategies, including quarantine on entry, isolation of cases, rapid antigen testing of staff, as well as immunisation.Without control measures, the model projected a peak of 472 new infections daily by day 35 across the prison system, with all inmates infected by day 120. The most effective individual mitigation strategies were high immunisation coverage and prompt lockdown of centres with infected inmates which reduced outbreak size by 62-73%. Other than immunisation, the combination of quarantine of inmates at entry, isolation of proven or suspected cases, and widespread use of personal protective equipment by staff and inmates was the most effective strategy. High immunisation coverage mitigates the spread of COVID-19 within and between correctional settings but is insufficient alone. Maintaining quarantine and isolation, along with high immunisation levels, will allow correctional systems to function with a low risk of outbreaks. These results have informed public health policy for respiratory pathogens in Australian correctional systems.

Knowledge and attitude towards home quarantine instructions and associations with history of Covid-19 infection in Malaysia.

INTRODUCTION: Although COVID-19 has entered the endemic phase, individuals infected with COVID-19 are required to adhere to home quarantine measures. By exploring the public's knowledge and attitude towards recommended home quarantine measures, their readiness in containing potential COVID-19 outbreak can be determined. This study aimed to assess the public knowledge and attitude towards home quarantine instructions and their association with history of COVID-19 infections. METHODS: This was a web-based cross-sectional study conducted among the public in Malaysia between August to October 2022. All Malaysian adults over 18 years of age were included. Knowledge on home quarantine instructions and COVID-19 warning signs were measured using "True," "False," or "I'm not sure", while attitude towards home quarantine instructions was measured using a five-point Likert Scale. The questionnaire was initially constructed in English and then translated into the national language, Bahasa Malaysia. Face and content validation were performed. The internal consistency of the questionnaire was found to be satisfactory. RESULTS: 1,036 respondents were analyzed, comprised mostly of females (743, 71.6%) with a history of COVID-19 (673, 64.9%). In the knowledge domain, more than 80% of the respondents answered 9 out of 11 home quarantine instructions statements correctly. 457 (44.1%) were unaware or unsure about the minimum distance of the infected individual's bed from the rest of the occupants in a shared bedroom. The respondents reported relatively weaker knowledge in identifying uncommon warning signs of COVID-19 deterioration, including anuria (162, 44.5%), ingestion problems (191, 52.5%), and immobility (195, 53.6%). In the attitude domain, more than 90% of respondents answered correctly in 8 out of 9 questions. Respondents with a previous history of COVID-19 infections had better knowledge than COVID-19 infection-naïve individuals towards both home quarantine instructions and COVID-19 warning signs. CONCLUSION: Most respondents had good knowledge and attitude towards home quarantine instructions, with those previously infected with COVID-19 showing greater awareness of uncommon warning signs. However, there was a notable lack of awareness regarding physical distancing within shared rooms, appropriate disinfectant use and mobility limitation within the household. This study highlights the knowledge gaps to be improved in future educational campaigns.

Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China.

BACKGROUND: Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. METHODS: The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. RESULTS: The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45-64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. CONCLUSIONS: In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another.

How dynamic capabilities enable Chinese SMEs to survive and thrive during COVID-19: Exploring the mediating role of business model innovation.

As a response to the damage caused by the spread of COVID-19, the Chinese government has implemented severe quarantine measures that have greatly affected the operational patterns of small and medium-sized enterprises (SMEs). This paper explores the critical role of dynamic capabilities (DCs) in helping Chinese SMEs manage crises, adjust their business strategies, and mitigate the uncertainty caused by the epidemic. Although the importance of DCs in promoting organizational resilience is well recognized, academic research on their specific contributions to business model innovation (BMI) and SME performance improvement during crises remains scarce. Our study fills this gap by pioneering the development and empirical testing of a microintegrated mediation model linking DCs, BMI and organizational performance. By surveying 257 Chinese SMEs severely affected by a pandemic, we verify our hypotheses using partial least squares structural equation modeling (PLS-SEM). Our results strongly show a positive relationship between DCs and BMI and SME performance. In addition, we found that BMI plays a partial mediating role in the interrelationship between DCs and SME performance. Our findings clarify the critical role of BMI as a channel through which SMEs' DCs can be transformed into higher performance in the face of sudden crises. Thus, our results not only contribute to the broader discussion of strategic management and organizational theory but also provide theoretical and practical insights into the mechanisms by which SMEs can increase their flexibility and resilience in a crisis. Thus, our results not only contribute to the broader discussion of strategic management and organizational theory but also provide theoretical and practical insights into the mechanisms by which SMEs can increase their flexibility and resilience in a crisis. Importantly, this study suggests policy and market strategies that can support SMEs in leveraging DCs and BMI for sustained performance, thereby contributing valuable insights for policymakers and business leaders aiming to fortify economic stability and growth in the face of global health emergencies.

Impact of pandemic mobility restrictions on kidney transplant patients' experience: lessons on quality of care.

BACKGROUND: Patient perspectives on their post-operative health are acknowledged as valuable healthcare outcomes and should be scrupulously considered when designing interventions for patient-centered healthcare. Yet, following the COVID-19 lockdown and in the absence of standardized guidelines on how to best provide virtual chronic care to kidney transplant recipients, little is known about how this unique population coped and managed to comply with public health indications during confinement. METHODS: This study addresses this shortcoming by examining the experiences of patients from a tertiary hospital in Spain during the initial weeks of the lockdown decreed by the national government. Specifically, we focus our attention on the perceptions and experiences of these patients by retrieving robust qualitative and quantitative data: the former based on a thematic analysis of focus group transcripts, the latter obtained from a large-scale survey. RESULTS: Our findings identify opportunities for improvement in the quality of care and point to the provisions that might be made when facing future pandemics or lockdown-requiring situations. CONCLUSIONS: As healthcare services navigate evolving landscapes, our findings on the experience of kidney transplant recipients should enable hospital services to improve the quality of care they are able to provide to such patients during periods of restricted mobility, especially those associated with future disease emergencies, and considering that home confinement is often part of the natural course of post-operative care of these patients.

Changes in Sleep Duration and Sleep Timing in the General Population from before to during the First COVID-19 Lockdown: A Systematic Review and Meta-Analysis.

BACKGROUND: The COVID-19 lockdown had a profound effect on everyday life, including sleep health. This systematic review and meta-analysis evaluated changes in quantitative sleep parameters during the first lockdown compared with pre-lockdown in the general population. METHODS: A search in scientific databases was performed to identify eligible observational studies from inception to 8 February 2023. We performed a random effects meta-analysis of those studies reporting (a) means of sleep duration, time in bed (TIB), and sleep timing (bedtime and wake-up time); (b) the percentages of atypical sleep duration before and during the lockdown; (c) the percentages of change in sleep duration and sleep timing. RESULTS: A total of 154 studies were included. A small increase in sleep duration (0.25 standardized mean difference, 95% CI 0.180-0.315) was found, with 55.0% of the individuals reporting changes, predominantly an increase (35.2%). The pooled relative risk for sleeping more than 8/9 h per night was 3.31 (95% IC 2.60-4.21). There was a moderately significant delay in sleep timing and a surge in napping. CONCLUSION: An increase in sleep duration and napping, and delayed sleep timing were observed. High-quality studies should evaluate whether these parameters have now become chronic or have returned to pre-lockdown values.