COVID-19 breakthrough infection after four doses of the vaccines: a case report

The COVID-19 vaccines provide a high degree of protection against severe disease, hospitalisation, and death. However, no vaccine claimed 100% effectiveness and it is expected that a small proportion of vaccinated individuals may develop a breakthrough infection due to individual differences, virus variants and other factors. We conducted an epidemiological investigation and analysis of an imported case who had finished four doses of vaccination, and in order to provide a relevant reference for regular epidemic prevention and control in the post-pandemic era.

The Immediate Impacts of COVID-19 on Low-Income Households: Evidence from Malaysia

This study unravelled the economic impacts of the coronavirus disease 2019 (COVID-19) on low-income households. The asymmetric economic impacts of the pandemic that are biased towards the poor, young, and women have been well established. However, micro evidence on the poor is limited, thus demanding detailed understanding to design an effective targeted assistance. In this study, data were gathered from face-to-face interviews using a sampling frame provided by the Department of Statistics Malaysia (DOSM). Online data collection was dismissed to ensure all low-income households had the same chance to participate, as some might have no online access. Logistic regressions were estimated to identify the characteristics of households that suffered job loss and income reduction. The findings revealed that one in ten households experienced job loss during the pandemic, while one third survived with lower income. The extent of income reduction was rather severe, as the pandemic had reduced income generation by more than half among the affected households. The regression outcomes showed that the higher-income households among the low-income households had higher chances of experiencing income reduction. A similar scenario was noted for less-educated households. Notably, the adverse impacts were not biased toward female-headed households, as is widely perceived. There was no evidence that economic sectors explained job losses, but households involved in the agriculture, domestic, and transportation sectors had higher chances of suffering from income reduction. These results suggest that monetary government assistance should not rely on general indicators, such as female-headed households and below-poverty-line income (PLI). Instead, a more effective measure is to look at other characteristics, such as employment type, education level, and job sectors.

High seroprevalence of anti-SARS-CoV-2 antibodies in the capital of Chad

Background. Since the start of the COVID-19 pandemic, Chad has had 7,417 confirmed cases and 193 deaths, one of the lowest in Africa. Objective. This study assessed SARS-CoV-2 immunity in N'Djamena. Methods. In August-October 2021, eleven N'Djamena hospitals collected outpatient data and samples. IgG antibodies against SARSCoV- 2 nucleocapsid protein were identified using ELISA. "Bambino Gesu" Laboratory, Rome, Italy, performed external quality control with chemiluminescence assay. Results. 25-34-year-old (35.2%) made up the largest age group at 31.9 12.6 years. 56.4% were women, 1.3 women/men. The 7th district had 22.5% and the 1st 22.3%. Housewives and students dominated. Overall seroprevalence was 69.5% (95% CI: 67.7-71.3), females 68.2% (65.8-70.5) and males 71.2% (68.6-73.8). >44-year-old had 73.9% seroprevalence. Under-15s were 57.4% positive. Housewives (70.9%), civil servants (71.5%), and health workers (9.7%) had the highest antibody positivity. N'Djamena's 9th district had 73.1% optimism and the 3rd district had 52.5%. Seroprevalences were highest at Good Samaritan Hospital (75.4%) and National General Referral Hospital (74.7%). Conclusion. Our findings indicate a high circulation of SARS-CoV- 2 in N'Djamena, despite low mortality and morbidity after the first two COVID-19 pandemic waves. This high seroprevalence must be considered in Chad's vaccine policy.

Automatic Detection of Lung Ultrasound Artifacts using a Deep Neural Networks approach

The COVID-19 pandemic has challenged many of the healthcare systems around the world. Many patients who have been hospitalized due to this disease develop lung damage. In low and middle-income countries, people living in rural and remote areas have very limited access to adequate health care. Ultrasound is a safe, portable and accessible alternative;however, it has limitations such as being operator-dependent and requiring a trained professional. The use of lung ultrasound volume sweep imaging is a potential solution for this lack of physicians. In order to support this protocol, image processing together with machine learning is a potential methodology for an automatic lung damage screening system. In this paper we present an automatic detection of lung ultrasound artifacts using a Deep Neural Network, identifying clinical relevant artifacts such as pleural and A-lines contained in the ultrasound examination taken as part of the clinical screening in patients with suspected lung damage. The model achieved encouraging preliminary results such as sensitivity of 94%, specificity of 81%, and accuracy of 89% to identify the presence of A-lines. Finally, the present study could result in an alternative solution for an operator-independent lung damage screening in rural areas, leading to the integration of AI-based technology as a complementary tool for healthcare professionals. © 2023 SPIE.

Social insecurity and varieties of family resilience strategies during the COVID-19 pandemic

PurposeThis study is aimed at developing an understanding of the consequences of the pandemic on families' socioeconomic resilience, and the strategies adopted by the families in overcoming social vulnerabilities amid uncertainty.Design/methodology/approachThe materials for this study consist of semi-structured interviews with 21 families spread across the South Sumatra Province, Indonesia. Families in the study represent four different income levels, namely very high, high, middle and low, and who also work in the informal sector. Each family has at least 1 or more members who fall into the vulnerable category (children, the elderly, people with disabilities unemployed or having potential economic vulnerability).FindingsTwo main findings are outlined. Regardless of their socioeconomic status, many of the families analyzed adopted similar strategies to remain resilient. Among the strategies are classifying the urgency of purchasing consumer goods based on financial capacity rather than needs, leveraging digital economic opportunities as alternative sources of income, utilizing more extensive informal networks and going into debt. Another interesting finding shows that the pandemic, to some extent, has saved poor families from social insecurity. This is supported by evidence showing that social distancing measures during the pandemic have reduced the intensity of sociocultural activities, which require invited community members to contribute financially. The reduction of sociocultural activities in the community has provided more potential savings for the poor.Research limitations/implicationsIn this study, informants who provided information about their family conditions represent a major segment of the workforce and tend to be technologically savvy and younger, due to the use of Zoom as a platform for conducting interviews. Therefore, there may be a bias in the results. Another limitation is that since the interviewees were recommended by our social network in the fields, there is a risk of a distorted selection of participants.Originality/valueThis study offers insights that are critical in helping to analyze family patterns in developing countries in mitigating the risks and uncertainties caused by COVID-19. In addition, the literature on social policy and development could benefit from further research on COVID-19 as an alternative driver to identify mechanisms that could bring about change that would result in "security.” Critical questions and limitations of this study are presented at the end of the paper to be responded to as future research agenda.

University–Industry Linkages in Agriculture: The Case of Palestine

The usual crisis mode of economic operations in Palestine intersects with the adverse consequences of COVID-19 and necessitates an innovative response to survive. This research builds on potential synergies between industry and university to expand the Palestinian agriculture sector resilience. We report on an explorative study that sought to understand the reality of the university–industry linkages (UILs) by considering information and experience gathered from 29 interviews in January 2020 and April 2021. Interviewees represent five key actor groups: farmers and agribusinesses, private institutions, universities, the Ministry of Agriculture, and NGOs. Content analysis revealed a nascent collaboration scope and uncovered the lack of a confident attitude among farmers towards agriculture research efforts, the poor communication performance, and misalignment of purpose. University actors need to encompass the UILs in their mission and touch farmers' needs by providing novelty evidence research. Yet, farmers and agribusinesses may take the initiative to communicate their problems and search for renovation. We developed a framework of underpinnings to enhance collaboration and a healthier agriculture sector. We suggest activating the cooperatives and diversifying farmers' income as deemed more resilient to face the pandemic.

Supporting the Mental Health Needs of Community College Students. Research Report. RR-A2552-1

The United States faces an unprecedented mental health crisis, with youth and young adults at the center. Even before the COVID-19 pandemic, nearly 50 percent of college students reported at least one mental health concern. The COVID-19 pandemic notably exacerbated these issues and underscored the urgent need to identify and implement ways to ameliorate the youth mental health crisis. In 2021, the National Academies of Sciences, Engineering, and Medicine called on the field of higher education to address growing concerns about student mental health by identifying and elevating emerging and promising approaches that offer a more holistic way to support students' mental health. Serving as the main entry point for more than 40 percent of students seeking a postsecondary degree, community colleges represent a tremendous and untapped opportunity to better address mental health in the United States, particularly for students who have been traditionally underserved (e.g., students of color, first-generation students, and low-income students). However, community colleges have limited evidence and guidance to inform the implementation of multilevel, holistic approaches to support students with varying mental health needs. To address this knowledge gap, this report shares a descriptive study of eight community colleges at the forefront of implementing multilevel approaches (a combination of prevention, early intervention, and treatment services) to support student mental health, as well as key facilitators for and barriers to their success. [For "How Community Colleges Can Support Student Mental Health Needs. Research Brief. RB-A2552-1," see ED627489.]

How Community Colleges Can Support Student Mental Health Needs. Research Brief. RB-A2552-1

The United States faces an unprecedented mental health crisis, with youth and young adults at the center. Even before the coronavirus disease 2019 (COVID-19) pandemic, nearly 50 percent of college students reported at least one mental health concern. Without adequate mental health support, college students, including those at community colleges, may be at risk for a variety of academic and nonacademic consequences that negatively affect their overall well-being, including lower college completion rates, higher rates of substance use, and lower lifetime earning potential. This research brief describes a study examining eight community colleges from across the United States which found that, although the institutions did offer mental health services, most lacked a clear organizing framework for those efforts, and that financial challenges limited the support offered to students. The research also highlighted the importance of community college leaders explicitly prioritizing student mental health, as well as broad staff buy-in to the effort. [For the full report, "Supporting the Mental Health Needs of Community College Students. Research Report. RR-A2552-1," see ED627480.]

Can Domestic Food Production Provide Future Urban Populations with Food and Nutrition Security?—Insights from Bangladesh, Kenya and Uganda

Population growth and urbanization increasingly put pressure on our planet's availability of areas needed for food production. The dependencies on domestically produced food are increasingly judged favourable, following the consequences of the Ukrainian war, with escalating fuel and grain prices and less accessibilities to low-income groups. It is, however, unclear whether land is domestically available. Applying a food system approach, the main aim of this article is to investigate spatial foodsheds and theoretical self-sufficiency for food production needed to supply increasing future populations in a selection of cities, including estimates for Dhaka in Bangladesh, Nairobi in Kenya and Kampala in Uganda. The projected foodshed scenario areas for the years 2020 and 2050 are estimated for the production of three core products currently extensively produced and consumed in the three countries. They show that it is not possible to feed an ever-increasing urban population based on domestic production alone. International trade, new technological developments and new consumer demands for less area-intensive food production systems may give solutions to the immense challenge of feeding the world's population with nutritious food in 2050. However, to ensure fair and inclusive transition pathways for low-income groups: (1) affordability and accessibility of trade opportunities, technologies and products, (2) a common vision aiming for the SDGs, including SDG2: Zero hunger and SDG11: Sustainable Cities and Communities as well as (3) best practices in co-creation and cooperation with the most vulnerable urban and rural populations, are highly needed.

Characteristics of COVID-19 patients and risk factors of mortality in the early times of pandemic, Herat-Afghanistan

Objective: Coronaviruses are a large family of viruses that cause different types of diseases. This study aims to evaluate the risk factors for mortality based on comorbidity and sociodemographic characteristics among COVID-19 patients. Methods: This cross-sectional study conducted in Herat, Afghanistan, from February 24 to July 5, 2020, used data provided by the public health department, including sociodemographics, symptoms, comorbidities, hospitalization, contact history, and COVID-19 test type. The Chi-square test was used to observe differences between categorical variables. In bivariate analysis, all independent variables with a significant p-value were put into the model. Odds ratios and 95% confidence intervals were calculated, and a p-value less than 0.05 was considered statistically significant. Results: The study analyzed 11,183 COVID-19 cases, with a 53.5% positivity rate. Recovery rates in the city and Herat province districts were 96.2% and 94.7%, respectively. Case-fatality rates varied with age, with 0.4% for those aged 1-29 and 33% for those aged 80-105. Mortality rates were highest for those with COPD and cancer, at 12.5% and 18.2%, respectively. In the logistic regression results, age, gender, and COPD were significant variables for COVID-19 mortality. Conclusion: By providing more health service facilities to people in risk groups, especially in rural areas, the mortality rate of COVID-19 and other diseases can be decreased.

Attitude and acceptance toward COVID-19 vaccines among Kabul city's residents: a cross sectional study

Objective: The present study aimed to assess the attitude and perception of Kabul city's residents toward COVID-19 vaccines hesitancy and acceptance. Methods: Applying a cross-sectional study design, the data was collected from 665 participants in Kabul city using a predesigned validated questionnaire. For statistical analysis, Spearman correlation, chi-square, and logistic regression techniques were used. Results: Although the vaccine availability was limited for the public during the survey period, 70.5% of the participants were willing to receive COVID-19 vaccines. Meanwhile, 49.2% participants were concerned about the COVID-19 vaccines side effects. The presence of positive COVID-19 cases among family members and friends (OR: 2.7), presence of fears during COVID-19 pandemic (OR: 4.4) and beliefs that vaccine has important and vital role in people's protection against COVID-19 (OR: 5.3), increase the likelihood of vaccine acceptance among the participants. On the other hand, participant's mistrust of the safety of COVID-19 vaccines (OR: 0.21) and disbelief on ministry of public health "MoPH" advice about COVID-19 vaccine safety and efficiency (OR: 0.27) decrease the odds of COVID-19 vaccine acceptance among the respondents. In addition, a strong correlation was found between vaccine attitude and vaccine acceptance scales (Spearman p=0.52, p<0.001). Conclusion: Although majority of the participants were willing to receive the COVID-19 vaccines, due to high level of participant's concerns about COVID-19 vaccines-related side effects, a great proportion of the respondents were hesitate to receive the COVID-19 vaccines. Accordingly, public awareness about COVID-19 vaccines must be increased to counteract incorrect and misleading propaganda about vaccination and immunization.

Using Community-Based Implementation Frameworks and Strategies to Address Food Insecurity During the COVID-19 Pandemic: A Scoping Review

This scoping review aims to describe the main barriers to food security imposed by the COVID-19 pandemic in low-income U.S. households, identify effective community-based implementation frameworks and strategies, and discuss the lessons learned from implementing community-based approaches during the COVID-19 pandemic. Most cited barriers were categorized into the Community/Society-Policy category of "Social determinants of health in communities." Out of the twelve included studies, only five (42%) adopted an implementation framework in their food-insecurity interventions. This study can guide the development and sustainability of food programming during emergencies with possible transfer of lessons learned to food programs in low-income populations.Copyright © 2022 Taylor & Francis Group, LLC.

Changes in Food Acquisition Source, Behaviors, and Perceptions During Early Months of COVID-19 Pandemic: Differences Between Those Living in and Not Living in Low Income Low Food Access Urban Areas

We examine the impact of the COVID-19 pandemic on food access in US households located in low-income low-food access (LILA) zip codes and those in other areas. We explored changes in utilization of key food sources and in reported challenges, worries, and strategies related to obtaining food. Living in a LILA zip code was associated with a higher prevalence of using food programs, experiencing challenges finding help for food, worrying that food was unsafe, and worrying about losing access to food programs. Examining food acquisition during the pandemic may inform ways to reduce barriers to food access.Copyright © 2023 Taylor & Francis Group, LLC.

Post-Pandemic Onset Trends for Public School English Learners in Virginia. COVID-19 Impacts Research Brief Series No. 3

The COVID-19 pandemic impacted the educational experiences of diverse student populations throughout the country and among Virginia public schools. English Learners (ELs) had a unique set of needs and services prior to the pandemic, and potentially were more vulnerable to pandemic-related disruptions in typical school operations than other student groups. We analyze statewide, student-level administrative data on the composition of the EL population, the identification for and reclassification out of EL services, and the exit of ELs from public school enrollment in kindergarten through grade twelve between the 2010-11 and 2020-21 school years to examine changes between the pre-pandemic period and first post-pandemic onset year (2020-21). Our key findings include the following: (1) Following the onset of the pandemic, the number of students classified as EL decreased for the first time in a decade. Specifically, whereas the number of students classified as EL increased by 26.0% (25,171 more students) between 2010-11 and 2019-20, the number of students classified as EL decreased by 3.2% (3,852 fewer students) between 2019-20 and the first post-pandemic onset year (2020-21). (2) There was a 21.6% decline (6,223 fewer students) in the number of Virginia K-12 public school students newly identified for EL services in 2020-21 as compared to 2019-20. The drop in new EL identification occurred across student groups, but was largest among Hispanic students, economically disadvantaged students, and ninth graders. (3) The number of EL students reclassified as fully English proficient decreased by 57.3% (8,169 fewer students) in 2020-21 as compared to the pre-pandemic period. This decline is nearly three times the size of the previous largest year-to-year change. The drops in reclassification among ELs occurred across student groups and were somewhat larger among Hispanic and economically disadvantaged students. (4) EL students' exits from Virginia public schools in the post-pandemic onset were a continuation of pre-pandemic trends and did not meaningfully vary by race/ethnicity, economically disadvantaged status, or disability status.

Effectiveness of ivermectin and atazanavir on time to resolution from COVID-19 symptoms: a prospective cohort

Objective: to evaluate the effectiveness of Ivermectin and Atazanavir compared to placebo in the time to resolution of symptoms and duration of illness due to COVID-19. Method: observational, prospective, longitudinal, descriptive and analytical cohort study with symptomatic outpatients, followed for 06 months in two Basic Health Units for COVID-19 care in Teresina-Piaui, Brazil, from November to April 2021 identified by 1:1:1 random sampling. Reverse transcription polymerase chain reaction (RT-PCR) tests were performed for laboratory confirmation of suspected infection with the new coronavirus and sociodemographic and clinical evaluation. Results: of the 87 randomized patients, 62.1% (n=54) were male, with a mean age of 35.1 years, had a partner (53.9%), low income (50.6%), eutrophic (40.7%) and without health comorbidities (78.2%). There was no difference between the median time to resolution of symptoms, which was 21 days (IQR, 8-30) in the atazanavir group, 30 days (IQR, 5-90) in the ivermectin group compared with 14 days (IQR, 9-21) in the control group. At day 180, there was resolution of symptoms in 100% in the placebo group, 93.9% in the atazanavir group, and 95% in the ivermectin group. The median duration of illness was 8 days in all study arms. Conclusion: Treatment with atazanavir (6 days) and ivermectin (3 days) did not reduce the time to symptom resolution or the duration of illness among outpatients with mild COVID-19 compared to the placebo group. The results do not support the use of ivermectin and atazanavir for the treatment of mild to moderate COVID-19.

A position paper on the Quest for Education Quality and Inclusivity in Low Resource Environments such as Zimbabwe through Social Media

Social media has revolutionised human interaction globally especially on the informal front. This paper proposes that the social media facility could be ‘tamed' to help bridge the educational divide that is apparent especially in developing countries such as Zimbabwe and that was magnified by the Covid-19 pandemic. The pandemic split education provision along income lines with those from the higher income bracket accessing educational instruction virtually even during such an ‘emergency' while those from the low income group were literally on sabbatical, virtually excluded. The obtaining scenario threatens realisation of Sustainable Development Goal Number 4 by 2030 as planned by the United Nations. The particular goal is aimed at ensuring "inclusive and equitable quality education and promote life-long learning opportunities for all”. In some instances, some candidates get to the examination room so inadequately prepared that the situation can be described as de facto exclusion. In order to assist Covid-19 pandemic affected learners and to uplift education quality in low income communities, this paper recommends the provision of a tablet per class/grade that should be viewed as a learning/teaching tool. The class teacher can use the tablet to download material, show educational videos to the class, audio/video record learners for educational ends, receive educational materials from the Ministry and its partners and avail these in an interesting multimodal manner to the learners.

Factors associated with people's satisfaction with their sex life: a survey conducted in Kinshasa (Democratic Republic of Congo) during the COVID-19 pandemic

Background: COVID-19's restrictive measures have significantly affected our health, work and social relationships. As yet, less attention has been given to the changes in sex life. Aim: This study investigates people's satisfaction with sex life in Kinshasa in the Democratic Republic of Congo (DRC). Methods: A cross-sectional survey of the general population (18 years and over) was conducted, from 1st to 18th July 2020, in 17 municipalities in Kinshasa and several measures were used: Quality of life MANSA, EQ-5D-3L, UCLA Loneliness;PHQ-9;GAD-7. Prior to conducting data analysis, diagnostic tests for our data were performed to assess distribution, variance and multicollinearity. Descriptive statistics, bivariate correlation and multiple regression analysis were used. Results: Sex life satisfaction increases from young adults aged 18- 35 to those aged 36-55 and then there is a decrease from ages 56-69. After controlling for socio-demographic factors, sex life satisfaction was positively associated with the number and quality of people's friendships (B=0.30, p=0.01) and people's relationships with their families (B=0.32, p=0.03). People who feel lonely have lower sex life satisfaction (B=-0.15, p=0.01). Conclusion: People's quality of their friendships and family relationships are important for their sexual well-being. Healthcare providers and policymakers should consider people's quality of friendships and family relationships when planning to improve the sexual well-being of people in DRC.

Balanço dos impactos da crise da COVID-19 sobre o mercado de trabalho brasileiro em 2020

O objetivo deste estudo é analisar os impactos da crise associada à pandemia da Covid-19 sobre o mercado de trabalho brasileiro até o final de 2020. Para tanto, são utilizados principalmente os dados da PNAD Contínua, visando identificar o comportamento da força de trabalho, a dimensão do desemprego gerado, as principais características dos postos de trabalho perdidos e os efeitos sobre a renda do trabalho no período. O mercado de trabalho nacional foi fortemente atingido a partir de março de 2020, registrando quedas inéditas no nível de ocupação. Os trabalhadores mais prejudicados foram aqueles que se encontravam em ocupações informais e mais flexíveis, com menor grau de proteção social. Com a contração da população ocupada e do número de horas trabalhadas, houve uma intensa queda nos rendimentos do trabalho, destacadamente nas menores faixas salariais. Com isso, a pandemia pode ter deflagrado a pior crise da história do mercado de trabalho brasileiro, com impactos duradouros sobre os níveis de emprego e de renda.Alternate :This study aims to analyze the impacts of the crisis associated with the Covid-19 pandemic on the Brazilian labor market until the end of 2020. Therefore, data from PNAD Contínua are analyzed in order to identify the behavior of the labor force, the main characteristics of the jobs lost and the impacts on labor income in that period. The national labor market was strongly hit from March 2020, with a historical slump in the level of occupation. The most affected workers were those who were in informal and more flexible occupations, with a lower degree of social protection. With the contraction of the employed population and the number of hours worked, there was an intense fall in labor income, especially in the lowest salary ranges. As a result, the pandemic may have triggered the worst crisis in the history of the Brazilian labor market, with lasting impacts on employment and income levels.

Smart microfluidics: Synergy of machine learning and microfluidics in the development of medical diagnostics for chronic and emerging infectious diseases

The COVID-19 pandemic, emerging/re-emerging infections as well as other non-communicable chronic diseases, highlight the necessity of smart microfluidic point-of-care diagnostic (POC) devices and systems in developing nations as risk factors for infections, severe disease manifestations and poor clinical outcomes are highly represented in these countries. These POC devices are also becoming vital as analytical procedures executable outside of conventional laboratory settings are seen as the future of healthcare delivery. Microfluidics have grown into a revolutionary system to miniaturize chemical and biological experimentation, including disease detection and diagnosis utilizing muPads/paper-based microfluidic devices, polymer-based microfluidic devices and 3-dimensional printed microfluidic devices. Through the development of droplet digital PCR, single-cell RNA sequencing, and next-generation sequencing, microfluidics in their analogous forms have been the leading contributor to the technical advancements in medicine. Microfluidics and machine-learning-based algorithms complement each other with the possibility of scientific exploration, induced by the framework's robustness, as preliminary studies have documented significant achievements in biomedicine, such as sorting, microencapsulation, and automated detection. Despite these milestones and potential applications, the complexity of microfluidic system design, fabrication, and operation has prevented widespread adoption. As previous studies focused on microfluidic devices that can handle molecular diagnostic procedures, researchers must integrate these components with other microsystem processes like data acquisition, data processing, power supply, fluid control, and sample pretreatment to overcome the barriers to smart microfluidic commercialization.Copyright © 2023 by Begell House, Inc.