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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.
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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.
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The COVID-19 pandemic has caused the death of many people around the world and has also caused economic problems for all countries in the world. In the literature, there are many studies to analyze and predict the spread of COVID-19 in cities and countries. However, there is no study to predict and analyze the cross-country spread in the world. In this study, a deep learning based hybrid model was developed to predict and analysis of COVID-19 cross-country spread and a case study was carried out for Emerging Seven (E7) and Group of Seven (G7) countries. It is aimed to reduce the workload of healthcare professionals and to make health plans by predicting the daily number of COVID-19 cases and deaths. Developed model was tested extensively using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and R Squared (R2). The experimental results showed that the developed model was more successful to predict and analysis of COVID-19 cross-country spread in E7 and G7 countries than Linear Regression (LR), Random Forest (RF), Support Vector Machine (SVM), Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM). The developed model has R2 value close to 0.9 in predicting the number of daily cases and deaths in the majority of E7 and G7 countries. © 2023 by the authors.
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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.
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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.
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There is evidence that sacred places across the world are launching augmented reality (AR) applications. This application of AR is somehow prompted by the most recent Covid-19 pandemic where in-person experiences are altered by the virtual. AR, as an innovative technology, augments the physical environment with digitally generated imagery that can generate privileges for tourists in sacred places and become the reason to trigger cultural conflicts and religious controversy. This in-depth interview-based research aims to explore the tourists' views and ideas of applying AR in the Mosque City of Bagerhat of Bangladesh, a UNESCO World Heritage Site in terms of possibilities, cultural conflicts, and religious controversy. Findings show that the application of AR in a sacred place can support tourists in many useful ways, can offer them positive experiences, and help in sustainability concerns of the site. However, the application of AR in a sacred place can be an element of conflicting interests between the religious and general tourists. Adequate attention is thus required from the parties involved in terms of applying AR in the Mosque City of Bagerhat of Bangladesh, a sacred religious site.
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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.
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Healthcare is a critical field of research and equally important for all nations. Providing secure healthcare facilities to citizens is the primary concern of each nation. However, people living in remote areas do not get timely and sufficient healthcare facilities, even in developed countries. During the recent COVID-19 pandemic, many fatalities occurred due to the inaccessibility of healthcare facilities on time. Therefore, there is a need to propose a solution that may help citizens living in remote areas with proper and secure healthcare facilities without moving to other places. The revolution in ICT technologies, especially IoT, 5G, and cloud computing, has made access to healthcare facilities easy and approachable. There is a need to benefit from these technologies so that everyone can get secure healthcare facilities from anywhere. This research proposes a framework that will ensure 24/7 accessibility of healthcare facilities by anyone from anywhere, especially in rural areas with fewer healthcare facilities. In the proposed approach, the patients will receive doorstep treatment from the remote doctor in rural areas or the nearby local clinic. Healthcare resources (doctor, treatment, patient counseling, diagnosis, etc.) will be shared remotely with people far from these facilities. The proposed approach is tested using mathematical modeling and a case study, and the findings confirm that the proposed approach helps improve healthcare facilities for remote patients.
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Insights on the indirect effects of the COVID-19 pandemic are critical for designing and implementing policies to alleviate the food security burden it may have caused, and for bolstering rural communities against similar macroeconomic shocks in the future. Yet estimating the causal effects of the pandemic is difficult due to its ubiquitous nature and entanglement with other shocks. In this descriptive study, we combine high-resolution satellite imagery to control for plot-level rainfall with household socio-economic panel data from 2014, 2016, 2019 and 2020, to differentiate the effect of the pandemic from climatic shocks on food security in Morogoro, Tanzania. We find evidence of decreased incomes, increased prices of staple foods, and increased food insecurity in 2020 relative to previous years, and link these changes to the pandemic by asking households about their perceptions of COVID-19. Respondents overwhelmingly attribute economic hardships to the pandemic, with perceived impacts differing by asset level.
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Iron and zinc are important minerals in humans in sub Saharan Africa, whose deficiency is known as "hidden hunger" due to the lack of recognised symptoms in the early stages. Although iron deficiency is the most prevalent, zinc is also involved in inhibition of replication of viruses, including the corona virus (COVID-19). In North Kivu and South Kivu provinces where more than 50% of common bean is produced and consumed in Democratic Republic of Congo, 36% and 47% of preschool children are anemic due to iron deficiency. This paradox is mainly due to insufficiency of iron-rich foods. The aim of this study is to characterise 59 iron and zinc biofortified varieties together with six local varieties of common bean for a potential selection programme in Butembo town in the Democratic Republic of Congo. We focused on 15 qualitative and five quantitative parameters. The qualitative parameters were helpful to distinguish the different morphotypes and for cluster analysis. In addition to the descriptive statistics, the quantitative data were used for Pearson correlation and for principal component analysis, PCA. Qualitative parameters enabled grouping of the study genotypes into 14 morphotypes according to the aspect and colour of the seed coat, the colour around the hilum and the size of seeds. Clustering grouped the 65 genotypes into 12 clusters with the most similar genotypes grouped in the same cluster. Quantitative parameters showed that the study genotypes were dissimilar (P=0.00). A positive correlation was obtained between the days to flowering and the days to maturity (P<0.05) and between the number of pods per plant and the days to flowering. A strong correlation was found between the number of pods per plant and seeds per pod (P<0.01). In contrast, a negative correlation was observed between the 100 seed weight and the number of seeds per pod. The PCA represented on two perpendicular axes showed 64.1% of the total variance of which the 42.3% is explained by the first axis and 21.8% by the second axis. Overall, the study genotypes are morphologically and quantitatively different and thus can be used in a selection programme.
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Introduction: Information on the cardiac manifestations of coronavirus disease 2019 (COVID-19) is scarce. In this study we assessed the echocardiogram of consecutive patients with COVID-19 infection to assess the frequency of cardiac abnormalities. Materials and Methods: This retrospective descriptive study examined the echocardiographic study of 43 patients with severe and critical COVID-19 infection admitted at the ICU of Chitwan Medical College from May 16, 2021 to June 05, 2021. The study focused on left ventricle (LV) and right ventricle (RV) function. The results were then compared between severe and critical infections to examine if any differences exist between them. Results: The mean age of the study population was 54 years and predominately males. One-third were classified as critical COVID-19 while the remaining were severe COVID-19. Majority(83.7%) had a normal echocardiogram. Among the patients with abnormal reports, the distribution of echocardiographic pattern were biventricular dilation with biventricular dysfunction in two patients (4.6%), LV dialtion with LV dysfunction in two patients (4.6%) and isolated LV dysfunction (diastolic and systolic) in three patients (6.9%). None of the echocardiographic parameters were significantly different between the severe and the critical infection. Conclusion: COVID-19 in primarily a respiratory disease and the cardiac complications is largely attributed to the critical nature of the illness than the specific infection. Considering the risk of infection spread, routine echocardiography for all patients with COVID-19 infection is not advisable.
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Bangladesh imports roughly 98% of cotton from abroad to produce fabric or yarn (USDA 2020. Cotton and Products Update. Bangladesh. Also available at https://apps.fas.usda.gov/newgainapi/api/Report/DownloadReportByFileName?fileName=Cotton%20and%20Products%20Update_Dhaka_Bangladesh_11-30-2020). The production of textiles in Bangladesh depends on the price of raw material, the demand for garment products in the importing countries, smooth supply chain management, and the domestic supply of cheap garment laborers. The global pandemic of COVID-19 disrupted the supply chain of almost all physical goods and services, including textiles. It caused the price of textiles to fall due to a drop in worldwide demand, and increased the marginal cost of textile production due to supply chain interruptions. This paper shows how the decline in the demand for garments, coupled with an increase in cost, shrinks the producer welfare of textile manufacturing and garment exports of the small producing country, Bangladesh.
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This article uses data from several publicly available databases to show that the distribution of intellectual property for frontier technologies, including those useful for sustainable development, is very highly skewed in favor of a handful of developed countries. The intellectual property rights (IPR) regime as it exists does not optimize the global flow of technology and know-how for the attainment of the sustainable development goals and is in need of updating. Some features of the Fourth Industrial Revolution imply that the current system of patents is even more in need of reform than before. COVID-19 vaccines and therapies and the vast inequality in access to these has highlighted the costs of inaction. We recommend several policy changes for the international IPR regime. Broadly, these fall into three categories: allowing greater flexibility for developing countries, reassessing the appropriateness of patents for technologies that may be considered public goods, and closing loopholes that allow for unreasonable intellectual property protections.
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The COVID-19 pandemic originated in China and quickly spread to practically every country on the planet. Because there is no cure for the virus, countries are taking steps to prevent it from spreading. Many sectors, particularly the service sector, have seen significant reductions in activities, if not a full halt, due to these policies aimed at restricting human interaction. As a result, I will statistically assess the pandemic that has a significant impact on economic growth rates in both developing as well as developed countries. Without a doubt, the economy's consequences will be determined by how long the pandemic lasts and when it returns to normal economic activity. The impacts of the COVID-19 pandemic on global economic growth are assessed in this paper. © 2022 IEEE.
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In this paper we will present a case in which a robot therapy for children with autism was transferred from clinic to home conditions. The developed application enables the children to continue with the interventions in home conditions. This proved especially important in the COVID-19 pandemic. The application also allows monitoring of the child's activities, through which the therapist can later analyze the patient's behavior and offer appropriate therapy. The application shows reliable results and gives promise to develop beyond the user case we are considering. © 2023 IEEE.
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This special issue contains 11 s that discuss recent learnings and developments in healthcare financing from a global perspective. The s cover a range of topics such as the impact of mental illness on poverty and catastrophic health expenditure in India, financing challenges in the American healthcare industry, comparative analysis of health system financing in India and Saudi Arabia, and the contribution of the Ghana National Health Insurance Scheme to inequality in healthcare utilisation. Other s explore the influence of socio-economic status on health financing choices in Jambi Province, households' willingness to pay for community-based health insurance in Bangladesh, and changes in household expenditures during the first wave of COVID-19 in India. The issue also includes discussions on managing the provider-purchaser split in India and reconsidering patient value to create better healthcare.
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This special issue consists of seven articles examining the impacts of the COVID-19 pandemic on the markets of selected commodities, including: seafood, lumber, crawfish, cattle/beef, fruits and vegetables in the USA, cotton and garments in Bangladesh, and fuel oil globally.
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The main aim of the current article is to compare economic and Quality of Life (QL) indices in G7- (Germany, France, United States, United Kingdom, Japan, Italy and Canada) and BRICS-member countries (Brazil, Russia, India, China and South Africa). The research was developed based on selecting indices available in the NUMBEO, UN (United Nations) and OECD (Organization for Economic Cooperation and Development) databases. Results have evidenced that emerging countries belonging to the BRICS bloc have shown lower QL indices than those observed for developed countries in the G7 bloc. With respect to economic data, the USA, China, Japan and Germany were the countries presenting the highest GDP growth. It was possible concluding that countries belonging to the G7 block have better economic and labor indices, which, in their turn, are associated with better QoL indices.
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PUBLIC HEALTH ;Australia is establishing a Centre for Disease Control (CDC), joining the majority of advanced countries in having a national health agency. Australia's states and territories will retain responsibility for public health;the new CDC is meant to provide nationwide surveillance of disease outbreaks and help improve coordination, "something that was sorely lacking during COVID", says Ben Marais, an infectious disease specialist at the University of Sydney. [Extracted from the article] Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Health care-associated infections/ Hospital-acquired infections (HAIs) have a significant impact on patients' morbidity and mortality. The risk of HAIs in resource-limited settings (RLS) has been reported 2-20 times higher than that in developed countries. Moreover, multi-drug- resistant organisms (MDROs) have emerged and spread throughout the world. In addition, increases in HAIs were observed during the COVID-19 pandemic throughout the world.Thus, screening strategies/surveillance of MDROs were recommended as a core component of infection prevention and control (IPC) measures for the effective HAIs prevention. We review and summarize current critical knowledge on screening strategies in different resource settings, especially on guidelines for the prevention and control of carbapenem- resistant Enterobacteriaceae (CRE), Acinetobacter baumannii (CRAB), and Pseudomonas aeruginosa (CRPsA) in health care facilities. The guidelines (especially WHO) were strongly recommended for surveillance of CRE-CRAB-CRPsA infections and surveillance cultures of asymptomatic CRE colonization. There were conditional recommended on surveillance cultures of the environment for CRE-CRAB-CRPsA colonization/contamination. The surveillance cultures (stool samples or rectal swabs) allowed the early introduction of IPC measures to prevent transmission to other patients and the hospital environment. Given the clinical importance of CRE-CRAB-CRPsA infections, regular ongoing active surveillance of infections were required in all microbiology laboratory settings. In addition, surveillance cultures for asymptomatic CRE colonization should also be performed, guided by local epidemiology and risk assessment. The surveillance cultures of asymptomatic CRE colonization should be considered for patients with previous CRE colonization and patients with a history of recent hospitalization in endemic CRE settings or contacted CRE colonized/ infected patients. In contrast, the evidence available on surveillance cultures for CRAB and CRPsA colonization in asymptomatic patients was not sufficiently relevant for the recommendation. Nowadays, the CRE surveillance strategies have been implemented in various methods from traditional culture- based methods to molecular assays. The limitation of microbiology laboratory capacity for MDROs in RLS was concerning. However, the surveillance data would help with appropriate IPC measure implementation and outbreak investigations. Thus, the proper screening strategies and strengthening microbiology laboratory capacity, especially in RLS are challenge for improving IPC measures and patient outcomes.Copyright © 2023