Compelling Impacts of Natural Polymer-Centered Drug Delivery Systems as Prophylactic and Therapeutic Approaches in Various Pulmonary Disorders/Lung Diseases

Pulmonary disorders are common illness that affects people of all ages world­wide. Common pulmonary disorders include pulmonary hypertension, CF (cystic fibrosis), asthma, chronic obstructive pulmonary disorder, emphysema, chronic bronchitis, lung cancer, and COVID-19. Treatments of these disorders vary but can be broadly categorized into pharmacological (medicinal), non-pharmacological, rehabilitation, and surgical techniques. Often, a combina­tion of these approaches is used, both for symptomatic relief and treatment. Regarding these prophylactic and therapeutic approaches, advances are rapidly being made, and scientists are currently investigating modern and unique theranostic methods. However, there is a lacuna in drug delivery, pharmacokinetic aspects, and drug-induced adverse effects. One particular area for improvement that needs to be immediately addressed is the drug delivery system to significantly improve healthcare associated with pulmonary disorders. Natural polymer-based drug delivery systems are widely adopted for their ease of production, lack of biotoxicity, and strong bioaffinity. Of the natural polymer­based drug delivery systems, chitosan, sodium alginates, albumin, hydroxyapa­tite, and hyaluronic acid are the most common natural polymers. Each of these natural polymers has its preferred use, either due to tissue-specific delivery or medical property packaging. The current scientific article discusses the common pulmonary disorders, their pathophysiology, and the current therapeutic approaches. Additionally, we discuss the major natural polymer drug delivery systems, including their properties and common uses. © The Author (s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

One Health activities to reinforce intersectoral coordination at local levels in India.

India's dense human and animal populations, agricultural economy, changing environment, and social dynamics support conditions for emergence/re-emergence of zoonotic diseases that necessitate a One Health (OH) approach for control. In addition to OH national level frameworks, effective OH driven strategies that promote local intersectoral coordination and collaboration are needed to truly address zoonotic diseases in India. We conducted a literature review to assess the landscape of OH activities at local levels in India that featured intersectoral coordination and collaboration and supplemented it with our own experience conducting OH related activities with local partners. We identified key themes and examples in local OH activities. Our landscape assessment demonstrated that intersectoral collaboration primarily occurs through specific research activities and during outbreaks, however, there is limited formal coordination among veterinary, medical, and environmental professionals on the day-to-day prevention and detection of zoonotic diseases at district/sub-district levels in India. Examples of local OH driven intersectoral coordination include the essential role of veterinarians in COVID-19 diagnostics, testing of human samples in veterinary labs for Brucella and leptospirosis in Punjab and Tamil Nadu, respectively, and implementation of OH education targeted to school children and farmers in rural communities. There is an opportunity to strengthen local intersectoral coordination between animal, human and environmental health sectors by building on these activities and formalizing the existing collaborative networks. As India moves forward with broad OH initiatives, OH networks and experience at the local level from previous or ongoing activities can support implementation from the ground up.

Response, readiness and challenges of online teaching amid COVID-19 pandemic: the case of higher education in Bangladesh

Objective: Online education is a relatively new phenomenon in Bangladesh. Gathering data online during the early days of the COVID-19 pandemic, this study examines the response, readiness and challenges of online education in the Bangladeshi context. Method: Data were collected by applying qualitative approaches such as focus group discussions and in-depth interviews with purposively selected students and teachers involved in online education at two public and three private universities. Results: The findings reveal an immediate response from some universities and late or no action from others in continuing education during the pandemic. Since teachers, students or the university administration were unprepared for such a situation, there was a shortage of or creation of initiatives, although a certain degree of success was noticed. Major challenges include the lack of appropriate technology, knowledge of technology use, teachers' inadequate skills in operating the system and motivating students, poor Internet facilities and high Internet costs, and absence of a calm environment at students' homes. Conclusion: Steps such as workshops for teacher development, improvement of technology and facilities, subsidies in Internet use, revisits to higher education and emergency education laws, and assistance from other professionals and institutions are proposed for consideration. KEY POINTS What is already known about this topic: A number of higher educational institutions (HEIs) worldwide have introduced online education, and have been continuing teaching–learning activities online from the onset of the COVID-19 pandemic. HEI teachers in developed countries have prior training and experience in conducting online education;however, several pedagogical, technical and management-related challenges have been identified. HEIs in Bangladesh do not have a specific policy regarding continuing education in an emergency. This is the first time that online education has been launched. What this study adds: This study explores how HEIs, particularly teachers, respond to continuing teaching–learning activities. It illustrates teachers' pedagogical, technical and management-related readiness necessary for online education. This study also identifies several challenges in continuing online teaching–learning activities in Bangladesh HEIs. © 2021 Australian Psychological Society.

Reshaping healthcare supply chain using chain-of-things technology and key lessons experienced from COVID-19 pandemic.

The COVID-19 (Corona virus disease 2019) pandemic continues to slash through the entire humanity on the earth causing an international health crisis and financial uncertainty. The pandemic has formed a colossal disruption in supply chain networks. It has caused piling higher mortality in patients with comorbidities and generated a surging demand for critical care equipment, vaccines, pharmaceuticals, and cutting-edge technologies. Personal protective equipment, masks, ventilators, testing kits, and even commodities required for daily care have been scarce as lockdown and social distancing guidelines have kicked in. Amidst COVID-19, implementing and executing key processes of the healthcare supply chain (HSC) in a secured, trusted, effective, universally manageable, and the traceable way is perplexing owing to the fragile nature of the HSC, which is susceptible to redundant efforts and systemic risks that can lead to adverse impacts on consumer health and safety. Though the crisis shone a harsh light on the cracks and weaknesses of the HSC, it brings some significant insights into how HSC can be made more resilient and how healthcare industries figure out solutions to mitigate disruptions. While there are innumerable experiences learned from the disruption of this crisis, in this paper, five important areas to analyze the most vital and immediate HSC enhancements including building a resilient supply chain, thinking localization, implementing reliable reverse logistics, breaking down extant silos to achieve end-to-end visibility, and redesigning HSC using digitalization are emphasized. This work identifies important features related to CoT and HSC. Also, this study links these lessons to a potential solution through Chain of Things (CoT) technology. CoT technology provides a better way to monitor HSC products by integrating the Internet of Things (IoT) with blockchain networks. However, such an integrated solution should not only focus on the required features and aspects but also on the correlation among different features. The major objective of this study is to reveal the influence path of CoT on smart HSC development. Hence, this study exploits (i) fuzzy set theory to eliminate redundant and unrelated features; (ii) the Decision-Making and Experimental Evaluation Laboratory (DEMATEL) method to handle the intricate correlation among different features. This fuzzy-DEMATEL (F-DEMATEL) model attempts to direct CoT technology towards smart HSC by identifying the most influencing factors and investors are recommended to contribute to the development of application systems. This work also demonstrates how CoT can act a vital role in handling the HSC issues triggered by the pandemic now and in the post-COVID-19 world. Also, this work proposes different CoT design patterns for increasing opportunities in the HSC network and applied them as imperative solutions for major challenges related to traditional HSC networks.

The Job of Traveller Trust, Travel Imperatives, and Attitudinal Elements Towards Travel Choice Determinants Bangalore’s During and After COVID-19

The emergence of COVID-19 has resulted in new tourism attractions. Restrictions on international travel are a precondition for increasing tourism. Having travelled widely, we’ve developed a comprehensive model to explain how travel advertising affects consumer behaviour. Travel bans and incentives in the event of a pandemic the responses of 1711 Bangalore subway riders were analysed using probabilistic choice and tally models. The findings provide insight on the factors that influence travel decisions before to and during a pandemic. Effective COVID-19 tourism rehabilitation programmes now have the benefit of this study’s theory and practise. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Nanofibrous Facemasks with Curcumin for Improved Bacterial/Particulate Filtration and Biocidal Activity

The current COVID-19 pandemic situation has posed a significant threat to human health. This calls for versatile facemask filters with high filtration efficiency and biocidal activity. Herein, we have rationally designed a three-layered nanofilter mask consisting of electrospun polycaprolactone (PCL) and curcumin as a nanocoating on a polypropylene spunbond membrane. The nanomask thus developed had a particulate filtration efficiency of 96.8 +/- 0.1%, with good breathability (64 +/- 2 Pa) and a high quality factor (0.052 +/- 0.0005 Pa-1) for a coating thickness of similar to 20 mu m. An aerosol filtration efficiency of >99.99% was achieved for both bacteria and bacteriophages (a virus surrogate). Curcumin loading into the nanocoating induced significant contact-killing efficiency against bacteria and bacteriophages, implying the high biocidal activity presented by the nanomask. Furthermore, this mask could be reused up to 30 times after successive washing and drying, without alterations in its particle-filtration efficiency or fibrous morphology. Thus, by adopting a simple, scalable technique, a nanomask with manifold features was developed that satisfies the essential demands of air filtration in the current pandemic era.

Gender Authorship in Accepted AAN Abstracts During the COVID-19 Pandemic

Objective: We aimed to analyze gender authorship of accepted AAN s in the year prior to and during the pandemic. Background: The COVID-19 pandemic has led to deleterious effects on productivity of female scientists. The AAN changed the review guidelines to blind reviewers to author names and affiliations in 2021. We analyzed the trends of gender authorship over two years given the pandemic and blinding. Design/Methods: s were reviewed manually (n=3211 in 2020;n=2188 in 2021). Data were collected regarding gender of first and senior authors, types of research (case report, series, or trial), subspecialty, and origin of research (USA, international, or corporate-affiliated). We compared the percentages of female first and senior authors in the two years using Z-test for two independent proportions. Results: The percentages of female first and senior authors did not significantly change from the 2020 to 2021 AAN meetings. The analysis of subspecialties with more than 100 s showed the lowest percentages of female senior authors were cerebrovascular disease (29%) and headache (29%) in 2020. Cerebrovascular disease continued to have the lowest percentage (29%) in 2021. For case reports and case series, the percentages of female first and senior authors were 51%, 37% in 2020 and 52%, 36% in 2021. For clinical trials, the percentages were 33%, 25% in 2020 and 28%, 20% in 2021. In analysis of the origin of research, corporate-affiliated had the lowest percentages of female first (34%, 36%) and senior authors (23%, 30%). Conclusions: Our study did not show significant changes of female authorship in accepted AAN s during the pandemic. This may be due to positive changes instituted by the AAN such as increasing awareness of disparity, blinding of s, and increased female leadership. Nevertheless, clinical trials and corporate-affiliated research still had significantly low proportions of female authors.

Covid Contentment Contribution

An old age home is a facility or home for elderly individuals who do not have family to care for them. It's like a home for the elderly, with all the necessities such as a place to live, food, and clothing. The organizers of the house were in charge of these people's fundamental needs. Organizers gather items from donors or, in some cases, hunt for donations to meet the needs for elders. This project is a website that will make collecting donations for an elderly age home easy for organizers. Money, food, clothing, and other items are routinely donated to nursing homes. People would be able to distinguish and donate these products independently using this website. In the majority of situations, elders utilize pharmaceuticals on a regular basis;this website also includes information about the medications used by residents of old age homes.

Effect of COVID-19 Lock Down on Export and Import Trade of Meat and Meat Products in India

The survey focussed on export trade of meat and meat products during COVID-19 lockdown which revealed export-oriented meat processing plants did not function during the lockdown period (April and May 2020) due to restricted working hours, unavailability of labours and food animals and birds for slaughter. About 90 % meat importing market was affected and this disrupted meat trade. The attitude of buyers was adversely affected towards the purchase of meat. This in turn decreased export of different types of meat especially beef, carabeef, mutton, chevon and chicken. Therefore, there was a change of nearly 20 to 40 % of overall export quantity and value of meat.

Data science: A survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA

Since the outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China, in late December 2019, the disease has already affected over 200 countries and territories in less than 4 months. On March 11, 2020, the WHO declared the outbreak as a pandemic. As of April 25, 2020, the contagious disease has already infected over 2, 919, 404 people and the number of deaths reached nearly 206, 482. As the disease is spreading rapidly, very less information is available regarding the spread of the novel virus and its effect over various countries. With the help of data science and its latest applications, this chapter aims to explain the rapid spread and impact of the novel coronavirus infection over individual countries. In this chapter, we have first explained about the evolution and transmission of viral diseases from animals to humans, next discussed about the various statistical methods used for the analysis of the spread of the disease, and finally come up with a comparison of the past 2 months of the pandemic (March and April). This chapter will give an insight of the application of data science in analyzing the latest COVID-19 pandemic and its impact. © 2022 Elsevier Inc.

BREATH HOLDING TIME AND OXYGEN SATURATION IN COVID AFFECTED NURSING STUDENTS-A COMPARATIVE STUDY

Objective: The present study is based on a novel approach of validated breath-holding technique and efficiency of SpO2 in the adverse COVID-19 outcomes and comparison with normal subjects. Methods: It is a prospective observational study conducted in residential/private nursing colleges, St. Luke’s School and College of Nursing and Smt. Vijaya Luke’s College of Nursing, Visakhapatnam during the period July 2021. Fifty-three student nurses affected with mild COVID-19, 35 student nurses affected with moderate COVID-19, aged 18–23 years were enrolled after taking thorough history about COVID-19 that is after 2 months of complete recovery. They were classified based on the symptom history in which the subjects without symptoms or mild symptoms were taken as mildly affected, whereas subjects with severe symptoms with mild fluctuations in SpO2 who didn’t require hospitalization were classified as moderately affected. The study included 109 normal control cases who are never affected with COVID-19 viral infection. In all the subjects, the oxygen saturation was measured using pulse oxymeter and their Breath holding times were also measured using standard protocols. Results: The mean value of BHT was significantly reduced from normal 16.7339±3.4 to 12.8571±5.1 (p<0.05) in moderate cases. When oxygen saturation levels were compared before and after the breath holding in normal, mild and moderate cases the results were significant. However, when the oxygen saturation levels were compared between normal and mild COVID-19 cases the values were insignificant (p=0.4) and at the same time when the oxygen saturation levels were compared between normal and moderate COVID-19 cases the values were significant (p=0.0001). Conclusion: According to the findings, breath-holding does not need greater energy expenditure or cardiac output, and it eliminates walking and the related contamination of bystanders as occurring with pulse oximeter. Breath holding time is a determinant of respiratory capacity, when used as parameter helps in assessing the progression of lung injury, it gives an idea about respiratory fitness especially in this COVID era. Breath holding time and fluctuations in SpO2 when used conjointly we can assess degree of lung damage so that further treatment such as the continuity of medication, practicing of breathing exercises with or without medical treatment can be planned. This simple non-invasive tool can be used for the self-assessment of improvement in post-Covid patients. Future validation studies validate this hypothesis, measurement of these basic, innovative surrogates requires minimum inventory (i.e., a means to record oximetry and a timing device) and could feasibly provide a useful way to evaluate risks of future deterioration under under-resourced conditions.

Response, readiness and challenges of online teaching amid COVID-19 pandemic: the case of higher education in Bangladesh

Objective: Online education is a relatively new phenomenon in Bangladesh. Gathering data online during the early days of the COVID-19 pandemic, this study examines the response, readiness and challenges of online education in the Bangladeshi context. Method: Data were collected by applying qualitative approaches such as focus group discussions and in-depth interviews with purposively selected students and teachers involved in online education at two public and three private universities. Results: The findings reveal an immediate response from some universities and late or no action from others in continuing education during the pandemic. Since teachers, students or the university administration were unprepared for such a situation, there was a shortage of or creation of initiatives, although a certain degree of success was noticed. Major challenges include the lack of appropriate technology, knowledge of technology use, teachers' inadequate skills in operating the system and motivating students, poor Internet facilities and high Internet costs, and absence of a calm environment at students' homes. Conclusion: Steps such as workshops for teacher development, improvement of technology and facilities, subsidies in Internet use, revisits to higher education and emergency education laws, and assistance from other professionals and institutions are proposed for consideration.

COVID-19 impacts and adaptations in Asia and Africa's aquatic food value chains. (Working Paper: FISH-2021-02.)

The COVID-19 pandemic is a systemic shock that affects all areas of the global food system. A growing range of impacts on aquatic food producers, value chain actors and consumers is evident. In response, the report provides the impacts of COVID-19 on aquatic food value chains in Bangladesh, Egypt, India, Myanmar and Nigeria. Results show that: (1) COVID-19 and associated containment measures severely disrupted aquatic food value chains, but effects on supply were relatively short-lived;(2)Demand for aquatic foods has yet to recover to pre-pandemic levels;(3) prices of aquatic foods have downward trend while prices of manufactured feeds have risen;and (4) COVID-19 has exacerbated pre-existing inequalities. As COVID-19 pandemic reversed years of progress on key human development indicators, it is important to revitalize aquatic food value chains to protect livelihoods and human nutrition. The paper also provides policy recommendations for both supply and demand sides.

The combined role of NLR and PLR in predicting the severity of covid 19

Aims & Objectives: To monitor the Neutrophil lymphocyte ratio (NLR) and Platelet lymphocyte ratio (PLR) in admitted COVID positive patients and their use as prognostic factors for predicting COVID 19 severity. Patients/Materials & Methods: A retrospective single center study on 500 COVID positive patients who had been hospitalized in between 12th August 2020 and 5th September 2020 was conducted. The demographic, clinical details and CBC which was determined using SYSMEX CELL COUNTER at admission were collected. NLR and PLR were calculated. N/L R = ABSOLUTE NEUTROPHIL COUNT/ABSOULTE LYMPHOCYTE COUNT P/L R = PLATELET COUNT/ABSOLUTE LYMPHOCYTE COUNT Data was entered in Microsoft Excel and analyzed. Results: of the 500 patients, 269 patients with no oxygen support,164 patients under oxygen support and 67 patients were in ICU. NLR cut off value obtained = 3.84. PLR Cut off value obtained = 140 Result table attached. NLR and PLR were shown positively proportional to disease severity. Discussion & Conclusion: NLR and PLR ratios are easy to calculate which is novel, rapid & used as a prognostic factor in the early screening of critical illness in confirmed COVID 19 patients and may help the physician to stratify patients into prognostic categories at its early stage. These ratios can be easily implemented even in primary health centers to monitor the patients and predict the severity.

A mathematical model to estimate percentage secondary infections from margin of error of diagnostic sensitivity: Useful tool for regulatory agencies to assess the risk of propagation due to false negative outcome of diagnostics (preprint)

False negative outcome of a diagnosis is one the major reasons for the dissemination of the diseases with high risk of propagation. Diagnostic sensitivity and the margin of error determine the false negative outcome of the diagnosis. A mathematical model had been developed to estimate the mean % secondary infections based on the margin of error of diagnostic sensitivity, % prevalence and R0 value. This model recommends a diagnostic test with diagnostic sensitivity [≥] 96% and at least 92% lower bound limit of the 95% CI or [≤] 4% margin of error for a highly infectious diseases like COVID-19 to curb the secondary transmission of the infection due to false negative cases. Positive relationship was found between mean % secondary infection and margin of error of sensitivity suggesting greater the margin of error of a diagnostic test sensitivity, higher the number of secondary infections in a population due to false negative cases. Negative correlation was found between number of COVID-19 test kits (>90% sensitivity) with regulatory approval and margin of error (R= -0.92, p=0.023) suggesting lesser the margin of error of a diagnostic test, higher the chances of getting approved by the regulatory agencies.However, there are no specific regulatory standards available for margin of error of the diagnostic sensitivity of COVID-19 diagnostic tests. Highly infectious disease such as COVID-19, certainly need specific regulatory standards on margin of error or 95% CI of the diagnostic sensitivity to curb the dissemination of the disease due to false negative cases and our model can be used to set the standards such as sensitivity, margin of error or lower bound limit of 95% CI.

Smartphone-based electrochemical sensor for assessing COVID-19 infected patients

Purpose The purpose of the study is to highlight the potential of the sensor based smartphone in assessing the covid-19 cases. Coronavirus disease 2019 (COVID-19) is a noxious pandemic affecting the respiratory system of the human and leading to the severe acute respiratory syndrome, sometimes causing death. COVID-19 is a highly transmittable disease that spreads from an infected person to others. In this regard, a smart device is required to monitor the COVID-19 infected patients by which widespread pandemic can be reduced. Design/methodology/approach In this paper, an electrochemical sensor-enabled smartphone has been developed to assess the COVID-19 infected patients. The data-enabled smartphone uses the Internet of Things (IoT) to share the details with the other devices. The electrochemical sensor enables the smartphone to evaluate the ribonucleic acid (RNA) of COVID-19 without the nucleic acid and feeds the data into the data server by using a smartphone. Findings The obtained result identifies the infected person by using the portable electrochemical sensor-enabled smartphone, and the data is feed into the data server using the IoT. Whenever an infected person moves outside the restricted zone, the data server gives information to the concerned department. Originality/value The developed electrochemical sensor-enabled smartphone gives an accuracy of 81% in assessing the COVID-19 cases. Thus, through the developed approach, a COVID-19 infected person can be identified and the spread can be minimized.