Monitoramento das Produções

by Byeong Yeob Choi, Abigail R. Grace, Jack Tsai

Few studies have examined heterogeneous associations of risk factors with Coronavirus Disease-2019 (COVID-19) symptoms by type. The objectives of this study were to estimate the prevalence of and risk factors associated with COVID-19 symptoms and to investigate whether the associations differ by the type of symptoms. This study obtained longitudinal data over 6 months from laboratory-confirmed COVID-19 cases in a citywide sample in San Antonio. Sixteen symptoms of COVID-19 infection, measured at baseline and three follow-up times (1, 3, and 6 months), were analyzed using generalized estimating equations (GEE) to investigate potential risk factors while accounting for the repeated measurements. The risk factors included time in months, sociodemographic characteristics, and past or current medical and psychiatric conditions. To obtain interpretable results, we categorized these sixteen symptoms into five categories (cardiopulmonary, neuro-psychological, naso-oropharyngeal, musculoskeletal, and miscellaneous). We fitted GEE models with a logit link using each category as the outcome variable. Our study demonstrated that the associations were heterogeneous by the categories of symptoms. The time effects were the strongest for naso-oropharyngeal symptoms but the weakest for neuro-psychological symptoms. Female gender was associated with increased odds of most of the symptoms. Hispanic ethnicity was also associated with higher odds of neuro-psychological, musculoskeletal, and miscellaneous symptoms. Depression was the most robust psychiatric condition contributing to most of the symptoms. Different medical conditions seemed to contribute to different symptom expressions of COVID-19 infection.

by Leonides Medeiros Neto, Sebastião Rogerio da Silva Neto, Patricia Takako Endo

Tabular data is commonly used in business and literature and can be analyzed using tree-based Machine Learning (ML) algorithms to extract meaningful information. Deep Learning (DL) excels in data such as image, sound, and text, but it is less frequently utilized with tabular data. However, it is possible to use tools to convert tabular data into images for use with Convolutional Neural Networks (CNNs) which are powerful DL models for image classification. The goal of this work is to compare the performance of converters for tabular data into images, select the best one, optimize a CNN using random search, and compare it with an optimized ML algorithm, the XGBoost. Results show that even a basic CNN, with only 1 convolutional layer, can reach comparable metrics to the XGBoost, which was trained on the original tabular data and optimized with grid search and feature selection. However, further optimization of the CNN with random search did not significantly improve its performance.

by Arsenio De La Vega Sánchez, Ana Navas Pérez, Marcos Pérez-Carrasco, María Torrens Sonet, Yolanda Diaz Buendia, Patricia Ortiz Ballujera, Miguel Rodríguez López, Joan Sabater Riera, Aitor Olmo-Isasmendi, Ester Vendrell Torra, María Álvarez García-Pumarino, Mercedes Ibarz Villamayor, Rosa María Catalán Ibars, Iban Oliva Zelaya, Javier Pardos Chica, Conxita Rovira Anglès, Teresa M. Tomasa-Irriguible, Anna Baró Serra, Edward J. Casanova, Francisco J. González De Molina, on behalf of The AKICOV Group

by Jung-Bin Su

This study employs a bivariate GARCH model to examine the influence of the COVID-19 pandemic on the interactions of the commodities in the agricultural market via a connectedness network approach. Empirical results show that this pandemic alters the commodities’ roles—the activators, net transmitters, and net receivers—in the volatility and return connectedness but not for the activators in the correlation connectedness. Moreover, this pandemic enhances the interactive degree of the unidirectional negative return spillovers and the bidirectional distinct-sign volatility spillovers but doesn’t for the interactive degree of correlation. Thus, the COVID-19 pandemic, a short-term drastic event, can influence short-term interactions like volatility and return spillovers but can’t affect one long-term interaction like the correlation. Nevertheless, this pandemic raises the intensity of the correlation as well as volatility and return spillovers. The findings provide policymakers to make short- and long-term investment strategies in the agriculture market.

by Songting Zhang, Yichao Wu, Wen Bao

The COVID-19 epidemic had an appropriate impact on tourists’ trip psychology and their subsequent behavior in participating in rural tourism activities. The purpose of this paper is to explore the types of motivations Chinese tourists have for participating in rural tourism in the context of COVID-19, and to comparatively analyze the similarities and differences in motivations for rural tourism during the epidemic and in normal times. An interpretive paradigm qualitative data collection method was used: semi-structured interviews and focus group discussions. Respondents were 21 tourists, who were selected through purposive and snowball sampling. Through content analysis, we found that rural tourism motivations during the epidemic included both diversified and singular motivations. The pull effect of rural destinations is related to distance and ease of realization. For rural areas in close proximity, a single motivation is sufficient to drive tourists. In addition, we found that there was no "altruistic motivation" for rural tourism during the COVID-19 period, but "altruistic feelings" for the preservation of ancient villages were generated during rural tourism. Finally, we discuss the theoretical and practical significance of this study and make suggestions for future research. The study explains tourists’ companionship preferences, activity choices, and affective changes, and provides a basis for the operation and advertising strategies of rural destinations to attract tourists and promote their sustainable development.

by Desale Bihonegn Asmamaw, Yohannes Ayanaw Habitu, Eskedar Getie Mekonnen, Wubshet Debebe Negash
Background World Health Organization (WHO) recommends that every pregnant woman receive quality care throughout pregnancy, childbirth, and the postnatal period. It is estimated that institutional delivery could reduce 16% to 33% of maternal deaths. Despite the importance of giving birth at a health institution, in Ethiopia, according to the Ethiopian Demographic Health Survey report, nearly half of the ANC-booked mothers gave birth at home. Therefore, this study aimed to determine the prevalence and associated factors of home delivery among antenatal care-booked women in their last pregnancy during the era of COVID-19. Methods A community-based cross-sectional study was conducted from March 30 to April 29, 2021. A simple random technique was employed to select 770 participants among women booked for antenatal care. Interviewer-administered questionnaires were used to collect the data. A binary logistic regression model was fitted. Adjusted odds ratios with its respective 95% confidence interval were used to declare the associated factors. Results The prevalence of home delivery was 28.8% (95% CI: 25.7, 32.2). Rural residence (AOR = 2.02, 95% CI: 1.23, 3.34), unmarried women (AOR = 11.16, 95% CI: 4.18, 29.79), husband education (AOR = 2.60, 95% CI: 1.72, 3.91), not being involved in the women’s development army (AOR = 1.64, 95% CI: 1.01, 2.65), and fear of COVID-19 infection (AOR = 3.86, 95% CI: 2.31, 6.44) were significantly associated factors of home delivery. Conclusion Even though the government tried to lower the rate of home delivery by accessing health institutions in remote areas, implementing a women’s development army, and introducing maternal waiting home utilization, nearly one in every three pregnant women gave birth at home among ANC booked women in their last pregnancy. Thus, improving the husband’s educational status, providing information related to health institution delivery benefits during antenatal care, and strengthening the implementation of the women’s development army, particularly among rural and unmarried women, would decrease home childbirth practices.

by Yuntao Bai, Lan Wang, Shuang Xu

In 2020, COVID-19 became a global pandemic. Older people are less resistant to the novel coronavirus. In order to ensure the health of the elderly population, the governments of five Central Asian countries should provide home medical services for the elderly or provide "green channel" to medical services. This "green channel" means providing a special service and treatment for the elderly in the hospital to ensure that they can safely and easily access the medical services they need. In order to study the application scope of various modes, this article constructs three modes of differential game: no special care, home medical care and "green channel". And the equilibrium results are compared and analyzed. Research shows that when the additional medical costs associated with house calls or "green channel" gradually increase, the social benefits to both the elderly and the government gradually decrease, and eventually it is less than the social benefits under the no-special care model. The greater the credibility of the government under the "green channel" service model, the greater the social benefits of the government. However, the greater the credibility of the government under the home medical service model, the smaller the social benefits of the government.

by Bagdat Tekkus, Fatma Mutluay
Objective This study investigates the impact of community-based exercises with action observation therapy (AOT) on the physical and cognitive performance of older adults experiencing social isolation during the COVID-19 pandemic. Methods One hundred participants aged 65–80 years were randomly divided into two groups: the AOT group, which engaged in balance, strengthening, and mobility exercises guided by 15-minute action observation videos before a 45-minute exercise session, and the control group, which performed the same exercises without action observation. Both groups underwent three sessions per week for eight weeks (24 sessions in total). The assessment tools used in this study included the following: For evaluating mobility and fall risk in older adults, the Timed Up-and-Go (TUG) Test was employed. To assess functional strength of lower extremities, balance, and fall risk, the Five Times Sit-to-Stand (5XSST) Test was administered. Balance and gait were measured using the Tinetti Balance and Gait Assessment (TBGA), utilizing the Tinetti Scale. Individuals’ confidence in performing daily activities without falling or losing balance was assessed using the Activities-Specific Balance Confidence Scale (ABC). Furthermore, cognitive functions across multiple domains, including attention-concentration, executive function, memory, language, visual construction skills, abstract thinking, calculation, and orientation, were evaluated using the Montreal Cognitive Assessment (MoCA) Tests. Results Results revealed significant improvements in both groups. Group I, which received Action Observation Therapy (AOT) in addition to exercise, demonstrated superior outcomes in the 5XSit-to-Stand test (Δ = -1.92, p 0.0001, Cohen’s d = 0.77), Tinetti Balance and Gait Scale (Balance: Δ = 2.77, p 0.0001, Cohen’s d = 0.91), and Timed Up and Go test (Δ = -1.98, p 0.0005, Cohen’s d = 0.83). On the other hand, Group II, which received exercise only, exhibited substantial gains in the Tinetti Balance and Gait Scale (Walking: Δ = 0.52, p 0.01, Cohen’s d = 0.27) and Activity-Specific Balance Confidence Scale (Δ = 5.77, p 0.0001, Cohen’s d = 0.26). Conclusion These findings underscore the effectiveness of AOT-enhanced community-based exercises in enhancing both physical and cognitive performance among older adults facing social isolation during the pandemic, with Group I (AOT + exercise) showing particularly promising results. Trial registration This study was registered with ClinicalTrials.gov Identifier: NCT04759690, ClinicalTrials Protocol ID: p3957ghb.

by Marc T. Valitutto, Ohnmar Aung, Kyaw Yan Naing Tun, Megan E. Vodzak, Dawn Zimmerman, Jennifer H. Yu, Ye Tun Win, Min Thein Maw, Wai Zin Thein, Htay Htay Win, Jasjeet Dhanota, Victoria Ontiveros, Brett Smith, Alexandre Tremeau-Bravard, Tracey Goldstein, Christine K. Johnson, Suzan Murray, Jonna Mazet

by Hamza Umer, Muhammad Salar Khan

Social distancing served as a principal strategy to curtail the spread of COVID-19. However, congregational activities in mosques made it challenging to practice social distancing and led to a rapid surge in virus infections in several Muslim countries. This study uses nationally representative cross-sectional data from Pakistan, a Muslim-majority country, to examine the relationship of practicing preventive measures (such as social distancing, wearing mask and hand washing) and mitigation measures (like avoid going to the market, social gatherings, healthcare seeking, use of public transport, and long-distance travel) with mosque visits by utilizing logistic regressions. The results show that individuals adhering to preventive and mitigation measures also avoid visiting mosques and other religious gatherings. From a policy perspective, these results suggest that the government of Pakistan can avoid direct religious confrontation when it needs to minimize mosque visits to curtail the spread of the virus by implementing preventive and mitigation measures.

by Izabel Alves das Chagas Valóta, Rafael Rodrigo da Silva Pimentel, Ana Paula Neroni Stina Saura, Rodrigo Marques da Silva, Ana Lucia Siqueira Costa Calache, Marcelo José dos Santos

The aim of this study was to analyze levels of fatigue and resilience of Brazilian graduate students during the COVID-19 pandemic and to determine whether there is an association between fatigue and resilience and sociodemographic and academic factors. Data were analyzed using descriptive and inferential statistics, and it was discovered that the variables associated with higher levels of resilience were age; having children; being retired; receiving income above five minimum wages; having had greater problems in other phases of the research schedule; coming from private universities; being from the north of Brazil; studying the area of Health; and having their research schedule unaffected during the pandemic. On the other hand, lack of resilience was associated with not having children; being less well-off financially; being younger; being a woman; studying in a public university; and having to postpone part of the research during the pandemic. The conclusion of the study indicated the need for graduate programs to design strategies to deal with fatigue and promote resilience in Master’s and PhD students.

by Laalithya Konduru, Nishant Das

Persons experiencing homelessness (PEHs) have a higher risk of morbidity and mortality compared to the general population and are highly vulnerable during the coronavirus disease (COVID-19) pandemic. Understanding their experience of the pandemic is important for mitigating the effects of the pandemic. Accordingly, we conducted a qualitative study on their lived experiences during the COVID-19 pandemic. Semi-structured interviews were conducted in nine PEHs from Chennai, India, recruited at food stalls between September 14–25, 2020. Data were analyzed using interpretive phenomenological analysis. The participants shared their experiences of the COVID-19 pandemic, its impact on them, and their coping strategies. All the participants were migrant workers living alone, and were the sole breadwinners of their families. Five group experiential themes emerged relating to the experiences of the participants during the COVID-19 pandemic. Most participants reported significant psychosocial stress, but low suicide risk and robust coping mechanisms. They delayed seeking healthcare for non-COVID-19-related problems. Public hospitals were preferred over private hospitals due to cost constraints and prior experience of discrimination. Upward classism was observed as participants blamed the rich for the spread of COVID-19. Initial assumption that COVID-19 would only affect the rich was also reported. Free government testing and quarantine facilities assuaged their medico-psychosocial needs. Engaging in collective activities was a key stress mitigator. We highlight several important policy implications. Firstly, we underscore the importance of involving social workers to facilitate communication between healthcare providers and patients from vulnerable communities. This engagement can help minimize discrimination and promote equitable access to healthcare. Secondly, we emphasize the need for effective public health communication. Specifically, there is a need to address and alleviate concerns about the transmission of COVID-19 within hospital premises. Lastly, the research suggests that government initiatives aimed at fostering community participation should persist both during and after the pandemic.

by The PLOS ONE Staff

by Sian Reece, Josie Dickerson, Brian Kelly, Rosemary R. C. McEachan, Kate E. Pickett

There is growing recognition that the public health measures employed to control the spread of the COVID-19 pandemic had unintended consequences on socioeconomic security and health inequalities, having the greatest impact on the most vulnerable groups. This longitudinal study aims to explore the medium to long-term impacts of the COVID-19 pandemic and subsequent public health measures on financial security for families living in the deprived and ethnically diverse city of Bradford. We collected data at four time points before and during the pandemic from mothers who participated in one of two prospective birth cohort studies in Bradford. The findings demonstrate that the risk of experiencing financial insecurity rose sharply during the pandemic and has not returned to pre-COVID-19 baseline levels. Several individual characteristics were found to be possible predictors of financial insecurity, including homeowner status, free school meal eligibility and not working. Protective factors against financial insecurity include: living in more affluent areas; greater levels of educational attainment; and families with two or more adults in the household. Notably, families of Pakistani Heritage were found to have the greatest risk of experiencing financial insecurity throughout the pandemic. Furthermore, this study demonstrated that there were strong associations between financial insecurity and maternal health and wellbeing outcomes, with mothers experiencing financial insecurity being more likely to report unsatisfactory general health and clinically important symptoms of depression and anxiety. The findings of this study highlight that the impact of financial insecurity experienced by mothers and their families throughout the pandemic was severe, wide ranging and affected the most vulnerable. In the wake of the pandemic, the emerging cost of living and energy crisis emphasises the urgent need for policy makers to act to support vulnerable families to prevent further widening of existing health and social inequalities.

by Su-Yeon Yu, Miyoung Choi, Seungeun Ryoo, Chelim Cheong, Kyungmin Huh, Young Kyung Yoon, Su Jin Jeong

Inhaled corticosteroids are known to be relatively safe for long-term use in inflammatory respiratory diseases and it has been repurposed as one of the potential therapies for outpatients with coronavirus disease 2019 (COVID-19). However, inhaled corticosteroids have not been accepted for COVID-19 as a standard therapy because of its lack of proven benefits. Therefore, this study aimed to evaluate the effectiveness of inhaled corticosteroids in patients with COVID-19. Randomized controlled trials comparing the efficacy of inhaled corticosteroid treatment in patients with COVID-19 were identified through literature electronic database searches up to March 10, 2023. Meta-analyses were conducted for predefined outcomes, and the certainty of evidence was graded using the grading of recommendations, assessment, development, and evaluation approach. Overall, seven trials (eight articles) were included in this systematic review. Compared with usual care, inhaled corticosteroids was associated with significantly improved clinical recovery at 7 and 14 days in patients with COVID-19. In subgroup analysis, only budesonide showed significant efficacy in clinical recovery, whereas no significant benefit was observed for ciclesonide. Moreover, inhaled corticosteroids use was not significantly associated with all-cause hospitalization, all-cause mortality, admission to intensive care unit, or the use of mechanical ventilation. Our systematic review used evidence with very low to moderate certainty. Although based on limited evidence, our results suggest that inhaled corticosteroids treatment, especially budesonide, improves the clinical recovery of patients with COVID-19. More trials and meta-analyses are needed to assess the efficacy of inhaled corticosteroids for COVID-19 treatment.

by Masoumeh Sayahi, Maryam Nikbina, Azam Jahangirimehr, Barat Barati
Background and objective The COVID-19 pandemic impacted every single aspect of life. In addition to being a public health emergency, the COVID-19 outbreak impacted the mental health of individuals, especially pregnant women. This study aimed to examine the mental health status of pregnant women and also the effect of sociodemographic factors on their mental health status during COVID-19 in healthcare centers of Iran. Methods This cross-sectional, analytical-descriptive study was conducted among pregnant women referring to healthcare centers in Shoushtar, Iran, in 2021. Multistage cluster sampling was used to select participants. Data were collected using the General Health Questionnaire-28 (GHQ-28). Data were analyzed using SPSS software version 22. The Pearson correlation coefficient was used to examine the association between quantitative variables. A generalized linear model (GLM) was applied to estimate the effect of independent variables on the dependent variable (mental health). Results A total of 197 participants with a mean ± SD age of 27.85 ± 6.37 years took part in this study. The total mean score of mental health was estimated at 17.47±8.20. The highest mean ± SD score was, respectively, related to social dysfunction (6.63 ± 2.86), anxiety and insomnia (5.28 ± 3.53), and somatic symptoms (4.17 ± 3.27). Mental health disorder was significantly correlated with participants’ age (R = .223, P = .00), number of pregnancy (gravida) (R = .272, P = .00), number of births (para) (R = 0.272, P = .00), and number of abortions (R = .172, P = .015). About 80% of pregnant women did not reveal impaired mental health conditions or psychological distress, while 19.3% showed scores that indicate probable mental health conditions. Conclusion Social dysfunction was the most common mental health problem among pregnant women. It is necessary to pay more attention to the mental health status of pregnant women during a pandemic. Interventions such as practical strategies to promote social support and improve pregnant women’s mental health during pregnancy are highly important.

by Rafaella Rabelo Polato, Cristino Carneiro Oliveira, Yuri Augusto de Sousa Miranda, Leandro Ferracini Cabral, Carla Malaguti, Anderson José
Introduction Several individuals with post-COVID-19 syndrome referred for pulmonary rehabilitation did not participate. This study aimed to explore individuals’ barriers to participating in posthospitalization COVID-19 rehabilitation. Materials and methods This was a qualitative, multicenter study performed using semistructured interviews. This study included 20 individuals hospitalized for COVID-19 who refused to participate in a pulmonary rehabilitation program at a university hospital. Results Individuals reported difficulties accessing the rehabilitation center, mainly due to distance, transport costs and conditions, and lack of companions. Health problems (e.g., surgeries, pain, and mobility difficulties) and lack of time due to work, commuting, and household work were also reported. Another reported theme was not perceiving the need for rehabilitation due to feeling well. Minor themes included the need for more information about rehabilitation and a lack of interest, motivation, and medical encouragement. Conclusion Individuals hospitalized for COVID-19 faced several barriers to participating in a pulmonary rehabilitation program. These barriers included difficulties in accessing the rehabilitation center, health problems, lack of time, and the perception that rehabilitation was unnecessary. There is a need for actions to overcome these barriers to make the program available to a larger number of individuals.

by The PLOS ONE Staff

by Samar Fatima, Madiha Ismail, Taymmia Ejaz, Zarnain Shah, Summaya Fatima, Mohammad Shahzaib, Hassan Masood Jafri
Objective There is a lack of estimates regarding the at-risk population associated with long COVID in Pakistan due to the absence of prospective longitudinal studies. This study aimed to determine the prevalence of long COVID and its association with disease severity and vaccination status of the patient. Design and data sources This prospective cohort study was conducted at the Aga Khan University Hospital and recruited patients aged > 18 years who were admitted between February 1 and June 7, 2021. During this time, 901 individuals were admitted, after excluding patients with missing data, a total of 481 confirmed cases were enrolled. Results The mean age of the study population was 56.9±14.3 years. Among patients with known vaccination status (n = 474), 19%(n = 90) and 19.2%(n = 91) were fully and partially vaccinated, respectively. Severe/critical disease was present in 64%(n = 312). The mortality rate following discharge was 4.58%(n = 22). Around 18.9%(n = 91) of the population required readmission to the hospital, with respiratory failure (31.8%, n = 29) as the leading cause. Long COVID symptoms were present in 29.9%(n = 144), and these symptoms were more prevalent in the severe/critical (35.5%, n = 111) and unvaccinated (37.9%, n = 105) cohort. The most prominent symptoms were fatigue (26.2%, n = 126) and shortness of breath (24.1%, n = 116), followed by cough (15.2%, n = 73). Vaccinated as compared to unvaccinated patients had lower readmissions (13.8% vs. 21.51%) and post-COVID pulmonary complications (15.4% vs. 24.2%). On multivariable analysis, after adjusting for age, gender, co-morbidity, and disease severity, lack of vaccination was found to be an independent predictor of long COVID with an Odds ratio of 2.42(95% CI 1.52–3.84). Fully and partially vaccinated patients had 62% and 56% reduced risk of developing long COVID respectively. Conclusions This study reports that the patients continued to have debilitating symptoms related to long COVID, one year after discharge, and most of its effects were observed in patients with severe/critical disease and unvaccinated patients.

by Peng Liu, Yanyan Zheng

This paper conducts a systematic statistical analysis of the characteristics of the geographical empirical distributions for the numbers of both cumulative and daily confirmed COVID-19 cases and deaths at county, city, and state levels over a time span from January 2020 to June 2022. The mathematical heavy-tailed distributions can be used for fitting the empirical distributions observed in different temporal stages and geographical scales. The estimations of the shape parameter of the tail distributions using the Generalized Pareto Distribution also support the observations of the heavy-tailed distributions. According to the characteristics of the heavy-tailed distributions, the evolution course of the geographical empirical distributions can be divided into three distinct phases, namely the power-law phase, the lognormal phase I, and the lognormal phase II. These three phases could serve as an indicator of the severity degree of the COVID-19 pandemic within an area. The empirical results suggest important intrinsic dynamics of a human infectious virus spread in the human interconnected physical complex network. The findings extend previous empirical studies and could provide more strict constraints for current mathematical and physical modeling studies, such as the SIR model and its variants based on the theory of complex networks.

by Kelsey McOwat, Snehal M. Pinto Pereira, Manjula D. Nugawela, Shamez N. Ladhani, Fiona Newlands, Terence Stephenson, Ruth Simmons, Malcolm G. Semple, Terry Segal, Marta Buszewicz, Isobel Heyman, Trudie Chalder, Tamsin Ford, Emma Dalrymple, Consortium , Roz Shafran
Background During the COVID-19 pandemic children and young people (CYP) were socially restricted during a stage of life crucial to development, potentially putting an already vulnerable population at higher risk of loneliness, social isolation, and poorer wellbeing. The objectives of this study are to conduct an exploratory analysis into loneliness before and during the pandemic, and determine which self-reported factors are associated with loneliness. Methods and findings Participants from The Children with Long COVID (CLoCk) national study were invited to take part via an online survey, with a total of 31,017 participants taking part, 31,016 of which reported on their experience of loneliness. Participants retrospectively answered questions on demographics, lifestyle, physical health and mental health and loneliness before the pandemic and at the time of answering the survey. Before the pandemic 6.5% (2,006/31,016) of participants reported experiencing loneliness “Often/Always” and at the time of survey completion 17.4% (5,395/31,016) reported feeling lonelier. There was an association between meeting the research definition of long COVID and loneliness [3.49 OR, 95%CI 3.28–3.72]. CYP who reported feeling lonelier at the time of the survey than before the pandemic were assigned female at birth, older CYP, those from Black/African/Caribbean/Black British or other ethnicity groups, those that had 3–4 siblings and lived in more deprived areas. Conclusions We demonstrate associations between multiple factors and experiences of loneliness during the pandemic. There is a need for a multi-faceted integrated approach when developing interventions targeted at loneliness. It is important to follow up the CYP involved at regular intervals to investigate the progression of their experience of loneliness over time.

by Chiara Marraccini, Lucia Merolle, Davide Schiroli, Agnese Razzoli, Gaia Gavioli, Barbara Iotti, Roberto Baricchi, Marta Ottone, Pamela Mancuso, Paolo Giorgi Rossi

To investigate the association between biochemical and blood parameters collected before the pandemic in a large cohort of Italian blood donors with the risk of infection and severe disease. We also focused on the differences between the pre- and post-Omicron spread in Italy (i.e., pre- and post-January 01, 2022) on the observed associations. We conducted an observational cohort study on 13750 blood donors was conducted using data archived up to 5 years before the pandemic. A t-test or chi-squared test was used to compare differences between groups. Hazard ratios with 95% confidence intervals for SARS-CoV-2 infection and severe disease were estimated using Cox proportional hazards models. Subgroup analyses stratified by sex, age and epidemic phase of first infection (pre- and post-Omicron spread) were examined. We confirmed a protective effect of groups B and O, while groups A and AB had a higher likelihood of infection and severe disease. However, these associations were only significant in the pre-Omicron period. We found an opposite behavior after Omicron spread, with the O phenotype having a higher probability of infection. When stratified by variant, A antigen appeared to protect against Omicron infection, whereas it was associated with an increased risk of infection by earlier variants. We were able to stratify for the SARS CoV-2 dominant variant, which revealed a causal association between blood group and probability of infection, as evidenced by the strong effect modification observed between the pre- and post-Omicron spread. The mechanism by which group A acts on the probability of infection should consider this strong effect modification.

by Ineke Spruijt, Yalda Alam, Huong Nguyen, Bakyt Myrzaliev, Muratbek Ahmatov, Bethrand Odume, Lillian Mtei, Agnes Gebhard, Mustapha Gidado, Degu Jerene
Background The measures undertaken to control COVID-19 have disrupted many platforms including tuberculosis (TB) healthcare services. Consequently, declines in TB notifications have been observed in various countries. We visualized changes over time in TB and SARS-CoV-2 infection notifications and reported on country-specific strategies to retain TB care and prevention services in Kyrgyzstan, Nigeria, Tanzania, and Vietnam. Methods We collected and visualized quarterly, retrospective, and country-specific data (Quarter (Q) 1 2018- Q1 2021) on SARS-CoV-2 infection and TB notifications. Additionally, we conducted a country-specific landscape assessment on COVID-19 measures, including lockdowns, operational level strategy of TB care and prevention services, and strategies employed to recover and retain those services. We used negative binomial regression models to assess the association between the installation of COVID-19 measures and changes in TB notifications. Results TB notifications declined in Kyrgyzstan and Vietnam, and (slightly) increased in Nigeria and Tanzania. The changes in TB notifications were associated with the installation of various COVID-19 prevention measures for Kyrgyzstan and Vietnam (declines) and Nigeria (increases). All countries reported reduced TB screening and testing activities. Countries reported the following strategies to retain TB prevention and care services: digital solutions for treatment adherence support, capacity building, and monitor & evaluation activities; adjustment in medication supply/delivery & quantity, including home delivery, pick up points, and month supply; integrated TB/COVID-19 screening & diagnostic platform; and the use of community health care workers. Conclusion Following the COVID-19 pandemic, we did not observe consistent changes in TB notifications across countries. However, all countries reported lower operating levels of TB prevention and care services. Digital health solutions, community-based interventions, and the integration of COVID-19 and TB testing services were employed to recover and retain those services.

by Mateus Silva Chang, Isamu Yamamoto

This paper estimated the impact of intervention effects (state of emergency (SOE) or quasi-SOE requirements) and information effects (publicized increases in the number of coronavirus disease 2019 (COVID-19) deaths and fear of infection) on preventive behaviors and telecommuting during the COVID-19 pandemic using the Japan Household Panel Survey. Our results indicated that SOEs and quasi-SOEs had positive effects on the adoption of preventive behaviors among individuals, including handwashing, which indicates that an SOE has a direct effect and an indirect effect. Although SOEs in Japan were less enforceable and more lenient than those in other countries, they still had a certain effect on people’s adoption of preventive behaviors. However, the contribution of information effects was much larger than that of intervention effects, suggesting the importance of how and when information should be communicated to the public to prevent the spread of infection.

by Ana Castro-Avila, Catalina Merino-Osorio, Felipe González-Seguel, Agustín Camus-Molina, Felipe Muñoz-Muñoz, Jaime Leppe, on behalf of the IMPACCT COVID-19 study group
Introduction The COVID-19 pandemic can be seen as a natural experiment to test how bed occupancy affects post-intensive care unit (ICU) patient’s functional outcomes. To compare by bed occupancy the frequency of mental, physical, and cognitive impairments in patients admitted to ICU during the COVID-19 pandemic. Methods Prospective cohort of adults mechanically ventilated >48 hours in 19 ICUs from seven Chilean public and private hospitals. Ninety percent of nationwide beds occupied was the cut-off for low versus high bed occupancy. At ICU discharge, 3- and 6-month follow-up, we assessed disability using the World Health Organization Disability Assessment Schedule 2.0. Quality of life, mental, physical, and cognitive outcomes were also evaluated following the core outcome set for acute respiratory failure. Results We enrolled 252 participants, 103 (41%) during low and 149 (59%) during high bed occupancy. Patients treated during high occupancy were younger (P50 [P25-P75]: 55 [44–63] vs 61 [51–71]; p

by Shuguang Zhao, Jue Zhou, Ting Wang

While conspiracy theories have received extensive attention in the realm of misinformation, there has been limited research exploring the impact of conspiracy mentality on individuals’ preventive behaviors during acute public health crises. This study investigates how conspiracy mentality may affect compliance with preventive health measures necessary to fight the COVID-19 pandemic, and the underlying emotional and cognitive mediators. Data was collected through a survey among 1878 Chinese respondents at the conclusion of the pandemic. The results indicate that individuals with higher levels of conspiracy mentality are significantly less engaged in preventive behaviors. Furthermore, this correlation is mediated by a sequence of mediating factors, starting from anger leading to institutional distrust and fear leading to perceived risk. Conspiracists’ response mode can be described as a state of "attentive immobility," in which the impact of heightened institutional distrust outweighs their perceptions of risk, ultimately reducing engagement in preventive behaviors during crises. These findings underscore the importance of debunking initiatives that aim to address and mitigate the negative consequences of conspiracy mentality by targeting the mediating psychological processes during future pandemic threats.

by Raya Al-Bataineh, Mohammed Al-Hammouri, Wafa’a Al-Jaraideh
Background The catastrophe caused by the Coronavirus disease has affected all services worldwide. A range of policies were introduced to slow the virus spread, which in turn, affected the accessibility and quality of healthcare services. This was a problematic and concerning for patients with chronic diseases, such as patients with diabetes mellitus (DM) and chronic respiratory diseases (CRD), due to their sustained need for ongoing health care. The aims of the study were: 1) assessing the level of both accessibility and quality of healthcare services during the Covid-19 pandemic from the DM and CRD patients’ perspectives, 2) assessing the association between the patients’ socio-demographics and their perspectives on health services accessibility and quality, and 3) exploring the perspectives of DM and CRD patients on barriers and facilitators of health services accessibility and quality during the era of COVID -19. Method Design. A sequential explanatory mixed-method was used in this study. In the quantitative part, a self -administered questionnaire was used to collect data from 300 patients with DM and/or CRD. In the qualitative part, focus group approach was used to collect data from 25 patients.Setting. Public, private and teaching hospitals were involved.Analysis. SPSS Version 25 was used to analyze the quantitative data. Thematic analysis was used to analyze the qualitative data. Results The quantitative findings indicated that almost 99% of the participating patients perceived barriers, ranging from low to high, to accessing health services during COVID-19. Additionally, more than half of the sample perceived low to moderate level of quality of health services. Four themes and nine subthemes related to barriers and facilitators were identified in the qualitative part of the study. Conclusion The study revealed that both quality and accessibility of healthcare services for DM and CRD patients were impacted during the era of COVID -19. The findings lay the ground for developing future health programs and establishing or revising policies with the goal of improving healthcare services quality and accessibility for the target population.

by The PLOS ONE Staff

by Beatriz Martinelli Menezes Gonçalves, Rossana Pulcinelli V. Franco, Agatha S. Rodrigues

by Kosuke Ishizuka, Taiju Miyagami, Tomoya Tsuchida, Mizue Saita, Yoshiyuki Ohira, Toshio Naito

Prolonged symptoms that occur after COVID-19 (long-COVID) vary from mild, which do not interfere with daily life, to severe, which require long-term social support. This study assessed the secular trend in online searches on long-COVID in Japan. We conducted an observational study using data provided by Yahoo! JAPAN on the monthly search volume of query terms related to long-COVID from January 2020 to December 2022, including the search volume of the query “コロナ後遺症” (long-COVID in Japanese). The number of new cases of COVID-19 by month was used as a control for search trends, and the symptoms retrieved in conjunction with long-COVID were compared. Trends in online searches for each symptom of long-COVID were analyzed. The symptoms of long-COVID were classified according to “Component 1—Symptoms and Complaints” of the International Classification of Primary Care, 2nd edition (ICPC-2). Interest in long-COVID increased in response to peaks in the number of new cases of COVID-19 in Japan. The most frequent symptom searches with long-COVID were hair loss/baldness (3,530, 21,400, and 33,600 searches in 2020, 2021, and 2022, respectively), cough (340, 7,900 and 138,910 searches in 2020, 2021, and 2022, respectively), disturbance of smell/taste (230, 13,340, and 44,160 searches in 2020, 2021, and 2022, respectively), and headache (580, 6,180, and 42,870 searches in 2020, 2021, and 2022, respectively). In addition, the ranking of interest in “weakness/tiredness, general” in long-COVID increased each year (not in the top 10 in 2020, seventh in 2021, and second in 2022), and the absolute number of searches also increased. To our knowledge, this is the first study to investigate secular trends in online interest in long-COVID in the world. Continued monitoring of online interest in long-COVID is necessary to prepare for a possible increase in the number of patients with long-COVID.