Search

In this study, a nested multi-scale mathematical model is proposed and studied for COVID-19 viral infection. The well-posedness of the multi-scale model is discussed, followed by the stability analysis of the equilibrium points. The proposed model admits two equilibrium solutions: the infection-free equilibrium and the infected equilibrium. The infection-free equilibrium point is shown to be globally asymptotically stable provided that the value of the basic reproduction number is less than unity. When the value of the basic reproduction number exceeds unity, a unique infected equilibrium exists, and the system is found to undergo a forward (trans-critical) bifurcation. Two-parameter heat plots are performed to identify the parameter combinations for the stability of the admitted equilibrium points. From the sensitivity analysis, the transmission rate, infection rate, and birth rate were found to be most sensitive to the basic reproduction number. The influence of the within-host sub-model parameters on the between-host sub-model variables is numerically illustrated. The spread of infection in a community is shown to be influenced by the within-host sub-model parameters, such as the production of viral particles, the clearance rate of infected cells by the immune system, and the clearance rate of viral particles by the immune system. The comparative effectiveness of three health interventions (antiviral drugs, immunomodulators, and generalized social distancing) for COVID-19 infection is examined using the reproductive number as an indicator of the effectiveness of these interventions. The results from the comparative effectiveness study suggest that a combined strategy of antiviral drugs, immunomodulators, and generalized social distancing would be the best strategy to implement to contain the spread of infection in the community.

The pandemic COVID-19 is an infectious respiratory illness caused by SARS CoV-2 (severe acute respiratory syndrome coronavirus-2) and it spreads human-to-human. Due to the COVID-19 outbreak, the world is facing an unprecedented loss of lives around the globe and highlighted an effective treatment to deal with the virus. Natural products have historically been utilized for respiratory disease and display promising toxicity. Natural products have been reported for several antiviral activities of viruses, like influenza, HIV and some coronaviruses SARS-CoV and MERS-CoV. Therefore, natural products could be a vital resource for developing efficient and safe antiviral drugs against COVID-19. This review summarized the inhibition of isolated compounds from medicinal plants against different coronaviruses which could lead to the development of effective antiviral drugs to counter COVID-19. [ABSTRACT FROM AUTHOR]

Leprosy (Hansen’s disease) is an infectious, neglected tropical disease caused by the Mycobacterium Leprae (M. Leprae). About 2,02,189 new cases are diagnosed worldwide each year. Lepra reactions are an off shoot of leprosy infection causing major nerve damage leading to disability. Early detection of lepra reactions through the study of biomarkers can prevent subsequent disabilities. Motivated by these observations, in this study, we have proposed and analyzed a three-dimensional mathematical model to capture the dynamics of susceptible schwann cells, infected schwann cells, and the bacterial load based on the pathogenesis of leprosy. We did the stability analysis, numerical simulations, and also performed the sensitivity analysis using Spearman’s rank correlation coefficient, partial rank correlation coefficient, and Sobol’s index methods. We later performed the optimal control studies with both multi-drug therapy and steroid interventions as control variables. Finally, we did the comparative and effectiveness study of these different control interventions.

Background: Plants harbor many trophic groups of nematodes in them. The plant production is also determined by the occurrence of nematodes adjacent to the rhizosphere of plants, such as parasitic, free-living etc. Method: Altogether 60 samples (30 from 20 cm depth and 30 from 30 cm depth) were examined from the Kiwi plants to detect the nematode distribution in Kiwi plants in ICIMOD, Godawari, Lalitpur, Nepal. Overall, 1510 individuals of 10 nematodes genera (both free living/beneficial and parasitic) belonging to four orders were found to be associated with Kiwi plants, among them the highest report was of order Mononchida (44.04%) which was followed by Rhabditida (33.44%), Dorylaimida (17.88%) and Tylenchida (4.64%). The number of nematodes were higher at 20 cm depth than at 30 cm depth. Iotonchus spp. was highest (32.68%) and the number of Helichotylenchus spp. (3.93%) and Mesorhabditis spp. (3.92) were lowest at 20 cm depth. Similarly, Iotonchus spp. was highest (20.13%) and the number of Discolaimus spp. (4.03%) was lowest at 30 cm depth. [ABSTRACT FROM AUTHOR]

In this study, we develop a mathematical model incorporating age-specific transmission dynamics of COVID-19 to evaluate the role of vaccination and treatment strategies in reducing the size of COVID-19 burden. Initially, we establish the positivity and boundedness of the solutions of the non controlled model and calculate the basic reproduction number and do the stability analysis. We then formulate an optimal control problem with vaccination and treatment as control variables and study the same. Pontryagin’s Minimum Principle is used to obtain the optimal vaccination and treatment rates. Optimal vaccination and treatment policies are analysed for different values of the weight constant associated with the cost of vaccination and different efficacy levels of vaccine. Findings from these suggested that the combined strategies (vaccination and treatment) worked best in minimizing the infection and disease induced mortality. In order to reduce COVID-19 infection and COVID-19 induced deaths to maximum, it was observed that optimal control strategy should be prioritized to the population with age greater than 40 years. Varying the cost of vaccination it was found that sufficient implementation of vaccines (more than 77 %) reduces the size of COVID-19 infections and number of deaths. The infection curves varying the efficacies of the vaccines against infection were also analysed and it was found that higher efficacy of the vaccine resulted in lesser number of infections and COVID induced deaths. The findings would help policymakers to plan effective strategies to contain the size of the COVID-19 pandemic.

COVID -19 pandemic has resulted in more than 257 million infections and 5.15 million deaths worldwide. Several drug interventions targeting multiple stages of the pathogenesis of COVID -19 can significantly reduce induced infection and thus mortality. In this study, we first develop SIV model at within-host level by incorporating the intercellular time delay and analyzing the stability of equilibrium points. The model dynamics admits a disease-free equilibrium and an infected equilibrium with their stability based on the value of the basic reproduction number R0. We then formulate an optimal control problem with antiviral drugs and second-line drugs as control measures and study their roles in reducing the number of infected cells and viral load. The comparative study conducted in the optimal control problem suggests that if the first-line antiviral drugs show adverse effects, considering these drugs in reduced amounts along with the second-line drugs would be very effective in reducing the number of infected cells and viral load in a COVID-19 infected patient. Later, we formulate a time-optimal control problem with the goal of driving the system from any initial state to the desired infection-free equilibrium state in finite minimal time. Using Pontryagin’s Minimum Principle, it is shown that the optimal control strategy is of the bang-bang type, with the possibility of switching between two extreme values of the optimal controls. Numerically, it is shown that the desired infection-free state is achieved in a shorter time when the higher values of the optimal controls. The results of this study may be very helpful to researchers, epidemiologists, clinicians and physicians working in this field.

The dynamics of COVID-19 in India are captured using a set of delay differential equations by dividing a population into five compartments. The Positivity and Boundedness of the system is shown. The Existence and Uniqueness condition for the solution of system of equations is presented. The equilibrium points are calculated and stability analysis is performed. Sensitivity analysis is performed on the parameters of the model. Bifurcation analysis is performed and the critical delay is calculated. By formulating the spread parameter as a function of temperature, the impact of temperature on the population is studied. We concluded that with the decrease in temperature, the average infections in the population increases. In view of the coming winter season in India, there will be an increase in new infections. This model falls in line with the characteristics that increase in isolation delay increases average infections in the population.

Copyright of Electronics & Electrical Engineering is the property of Electronics & Electrical Engineering 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Abstract Background Although feline immunodeficiency virus (FIV) and feline leukemia virus (FeLV) have similar risk factors and control measures, infection rates have been speculated to vary in geographic distribution over North America. Since both infections are endemic in North America, it was assumed as a working hypothesis that their geographic distributions were similar. Hence, the purpose of this exploratory analysis was to investigate the comparative geographical distribution of both viral infections. Counts of FIV (n=17,108) and FeLV (n=30,017) positive serology results (FIV antibody and FeLV ELISA) were obtained for 48 contiguous states and District of Columbia of the United States of America (US) from the IDEXX Laboratories website. The proportional morbidity ratio of FIV to FeLV infection was estimated for each administrative region and its geographic distribution pattern was visualized by a choropleth map. Statistical evidence of an excess in the proportional morbidity ratio from unity was assessed using the spatial scan test under the normal probability model. Results This study revealed distinct spatial distribution patterns in the proportional morbidity ratio suggesting the presence of one or more relevant and geographically varying risk factors. The disease map indicates that there is a higher prevalence of FIV infections in the southern and eastern US compared to FeLV. In contrast, FeLV infections were observed to be more frequent in the western US compared to FIV. The respective excess in proportional morbidity ratio was significant with respect to the spatial scan test (p < 0.05). Conclusions The observed variability in the geographical distribution of the proportional morbidity ratio of FIV to FeLV may be related to the presence of an additional or unique, but yet unknown, spatial risk factor. Putative factors may be geographic variations in specific virus strains and rate of vaccination. Knowledge of these factors and the geographical distributions of these infections can inform recommendations for testing, management and prevention. However, further studies are required to investigate the potential association of these factors with FIV and FeLV.

Introduction: Gastrointestinal (GI) parasites are major health concerns in both humans and domestic animals. Livestock farming is one of the common livelihood practices in rural Nepal. The proximity at human and domestic animal interface increases the chances of dissemination of enteric parasites, especially those of zoonotic importance. This study was aimed at finding the parasite prevalence and risk factors in both humans and their domestic animals in Jirel community., Materials and Methods: A field survey was conducted on the Jirel ethnic people and their domestic animals in Dolakha district, where a total of 152 fresh fecal samples from humans and domestic animals (cow, pigs, goats, chickens, ducks, and pigeons) were collected. The feces were examined by wet mounts and concentration techniques. A structured questionnaire survey was carried out among the local people and owners of the domestic animals to gather sociodemographic information, awareness, and hygienic practices in relation to parasite transmission., Results: The enteric parasite prevalence was found to be highest in goats (80.0%;12/15), followed by pigs (55.55%;5/9), cows (45.45%;6/11), chickens (11.7%;4/34), and humans (1.41%;1/71), while the fecal samples of ducks and pigeons did not contain any parasites. The only parasite identified in humans was Ascaris lumbricoides . Similarly, three genera of GI parasites ( Eimeria sp., Strongyloides sp, and Trichuris sp.) from goats, two genera each from cow ( Eimeria sp. and Strongyloides sp.), pigs ( Entamoeba sp. and A . suum ), and chickens ( Eimeria sp. and Ascaridia galli ), were detected., Conclusions: Based on the direct field observation, questionnaire survey and laboratory analysis, it is concluded that the Jirel community people are aware of health and hygiene; however, intervention measures are necessary to prevent parasitic infection in their domestic animals., Competing Interests: There are no conflicts of interest., (Copyright: © 2024 Journal of Family Medicine and Primary Care.)

Background & Objective: In lower-middle income countries such as Bhutan, the treatment gap for epilepsy is over 50% as compared to a treatment gap of less than 10% in high-income countries. We aim to analyze the quality of epilepsy care for women of childbearing potential in Bhutan using the Quality Indicators in Epilepsy Treatment (QUIET) tool, and to assess the usefulness of the tool's section for women with active epilepsy (WWE) in the Bhutanese setting., Methods: A prospective convenience cohort was enrolled in Thimphu, Paro, Punakha, and Wangdue, Kingdom of Bhutan, in 2022. Bhutanese women of childbearing potential at the time of enrollment (18-44 years old) were evaluated for the diagnosis of active epilepsy and underwent a structured survey-based interview with Bhutanese staff. Participants were surveyed on their epilepsy, pregnancy, and antiseizure medicine (ASM) histories. The clinical history and quality of epilepsy care of adult WWE were assessed using a section of the QUIET tool for women, an instrument originally developed by the U.S. Department of Veterans Affairs to analyze the quality of epilepsy care for American adults., Results: There were 82 Bhutanese WWE of childbearing potential, with mean age of 30.6 years at enrollment (range 18-44, standard deviation (SD) 6.6) and mean age of 20.3 years at epilepsy diagnosis (range 3-40, SD 8.0)). 39 % (n = 32) had a high school or above level of education, and 42 % (n = 34) were employed. 35 % (n = 29) reported a seizure within the prior week, and 88 % (n = 72) reported a seizure within the prior year. 49 % (n = 40) of participants experienced > 100 lifetime seizures. All but one participant took antiseizure medications (ASMs). At enrollment, participants presently took no (n = 1), one (n = 3), two (n = 37), three (n = 25), four (n = 11), or over five (n = 5) ASMs. The most common ASMs taken were levetiracetam (n = 40), phenytoin (n = 27), carbamazepine (n = 23), phenobarbital (n = 22), and sodium valproate (n = 20). 61 % of all WWE took folic acid. Of the 40 previously pregnant WWE, eight (20 %) took folic acid during any time of their pregnancy. 35 % (n = 29) used betel nut (doma, quid) and 53 % (n = 21) of pregnant WWE used betel nut during pregnancy., Conclusions: Based on data about WWE participants' ASM, supplement, and substance use, our study identified the high use of first generation ASMs (including valproate), frequently in polytherapy, and betel nut use as treatment gaps in women of childbearing potential age with active epilepsy in Bhutan. To address these gaps for locations such as Bhutan, we propose modifications to the QUIET tool's "Chronic Epilepsy Care for Women" section., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

The structural determination of natural products (NPs) can be arduous because of sample heterogeneity. This often demands iterative purification processes and characterization of complex molecules that may be available only in miniscule quantities. Microcrystal electron diffraction (microED) has recently shown promise as a method to solve crystal structures of NPs from nanogram quantities of analyte. However, its implementation in NP discovery remains hampered by sample throughput and purity requirements, akin to traditional NP-discovery workflows. In the methods described herein, we leverage the resolving power of transmission electron microscopy (TEM) and the miniaturization capabilities of deoxyribonucleic acid (DNA) microarray technology to address these challenges through the establishment of an NP screening platform, array electron diffraction (ArrayED). In this workflow, an array of high-performance liquid chromatography (HPLC) fractions taken from crude extracts was deposited onto TEM grids in picoliter-sized droplets. This multiplexing of analytes on TEM grids enables 1200 or more unique samples to be simultaneously inserted into a TEM instrument equipped with an autoloader. Selected area electron diffraction analysis of these microarrayed grids allows for the rapid identification of crystalline metabolites. In this study, ArrayED enabled structural characterization of 14 natural products, including four novel crystal structures and two novel polymorphs, from 20 crude extracts. Moreover, we identify several chemical species that would not be detected by standard mass spectrometry (MS) or ultraviolet-visible (UV/vis) spectroscopy and crystal forms that would not be characterized using traditional methods., Competing Interests: The authors declare no competing financial interest., (© 2023 The Authors. Published by American Chemical Society.)

Sensory perception of chemical threats coming from an organism's environment relies on the coordination of numerous receptors and cell types. In many cases, the physiological processes responsible for driving behavioral responses to chemical cues are poorly understood. Here, we investigated the physiological response of fish to an unpalatable compound, formoside, which is employed as a chemical defense by marine sponges. Construction of fluorescent probe derivatives of formoside allowed visualization of this chemical defense molecule in vivo, interacting with the cells and tissues of the early larvae of a model predator, the zebrafish (Danio rerio). This revealed the precise chemosensory structures targeted by formoside to be in the taste buds and olfactory epithelium of developing zebrafish. Mechanosensory neuromasts were also targeted. This study supports the involvement of a previously identified co-receptor in detection of the chemical defense and provides a springboard for the long-term goal of identification of the cellular receptor of formoside. Extension of this approach to other predators and chemical defenses may provide insight into common mechanisms of chemoreception by predators as well as common strategies of chemical defense employed by prey., Competing Interests: Competing interests The authors declare no competing or financial interests., (© 2023. Published by The Company of Biologists Ltd.)

The cultivation of bitter gourd ( Momordica charantia L.) in Nepal faces significant challenges, resulting in diminished yields compared with other regions. The pivotal issue is optimizing fertilizer management practices to enhance bitter gourd growth and yield. In April 2022, a field experiment was conducted in Kapilvastu, Nepal to investigate the efficacy of organic and inorganic fertilizers on the growth and yield of bitter gourd. The study included five treatments: the recommended dose of nitrogen, phosphorus, and potassium (NPK) fertilizer (111.66:54.56:35.36 NPK kg ha -1 , and 29.49 t ha -1 farmyard manure), 100 % poultry manure, 100 % farmyard manure, 50 % NPK + 50 % poultry manure, and 50 % NPK + 50 % farmyard manure. We hypothesized that a blend of 50 % organic and 50 % inorganic manure would significantly enhance bitter gourd performance. These treatments were evaluated in a randomized complete block design (RCBD) with four replications and analyzed using R-Studio. The results showed that 50 % NPK +50 % poultry manure increased growth parameters, such as plant height (380 cm), branch count plant -1 (22), node count plant -1 (34.75), female flower count (50.50), fruit length plant -1 (24.75 cm), and fruit diameter (6.53 cm), and decreased male flower count (132.25) and days to first male (33.75) and female (36.25) flowering. The application of 50 % NPK and 50 % poultry manure increased individual fruit weight (274.50 g) and yield-attributing traits, such as fruit count (17.25), fruit yield (55.56 t ha -1 ), net return (7944$), and benefit-cost ratio (3.14). A synergistic blend of 50 % NPK and 50 % poultry manure can serve as a viable and effective nutrient source for promoting growth and maximizing bitter gourd yield. Although these results are promising, further validation and extension of these positive findings are required on a larger scale in diverse ecological regions., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)

Background: Low birth weight is a key indicator for child health, especially a concern in low-middle-income countries. However, health and medically-related reforms are being actively implemented in some middle-income countries like India. Identifying low birth weight (LBW) babies with their determinants across the whole country is essential to formulate regional and area-specific interventions. The objective of this study was to find out the burden and determinants of LBW on the regional and residential (rural-urban) divisions of India., Methods: The present study was based on the NFHS-5 dataset (2019-21), a nationally representative survey in India. A total of 209,223 births were included in this study. A newborn weighing less than 2500 g was considered as LBW. According to the objectives, we used frequency distribution, chi-square test and binary logistic regression analysis for analysing the data., Results: About 18.24% of the babies were LBW in India, significantly higher in rural areas than in urban areas (18.58% vs 17.36%). Regionally prevalence was more frequent in western (20.63%) and central (20.16%) rural areas. Regarding maternal concerns, in the eastern and southern regions of India, mothers aged 25-34 were less likely to have LBW children than mothers aged 35-49 years. It was found that the risk of LBW was more likely among the children born out of unintended pregnancies in almost all regions except for eastern part. In rural India, women who delivered children at home were more likely to have LBW children in India (AOR = 1.19, CI: 1.12-1.28, p < 0.001) and its central, northern, and southern regions than those who gave birth in institutions. The study indicates that LBW coexists with lower maternal education levels and poor household wealth index across all regions. About 58% and 57% of cumulative effects of independent variables on LBW can be distinguished in urban and rural India, respectively., Conclusions: Targeted-specific strategies need to be undertaken as per region and geographical variations. Then only India should be able to decline LBW as proposed by National Health Policy., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Exclusive use of organic manure in bitter gourd cultivation slows nutrient release, affecting root growth, while inefficient application of fertilizers during transplanting and development stages leads to nutrient losses and increased production costs. The research aimed to evaluate the efficiency of different combinations of urea and vermicompost in bitter gourd production and address the challenges associated with the use of only organic manure. The field experiment conducted in Tulsipur, Dang, utilized a six-treatment randomized complete block design with four replications. The treatments consisted of varying proportions of the recommended dose of urea (16 g plant -1 ) and vermicompost (280 g plant -1 ). Among the treatments, T3 (50% urea and 50% vermicompost) exhibited the most prevalent diameter (3.854 cm), length (16.32 cm), fruit count (1.391), weight plant -1 (189.2 g), and weight plot -1 (1848 g) while T4 (25% urea and 75% vermicompost) showed the quickest first flowering (30.37 days) and fruiting (33.75 days). T2 (75% urea and 25% vermicompost) recorded the highest vine length (222.5 cm). Statistically significant differences were observed in most recorded characteristics for T3. The results highlight the slow-release nutrient benefits and soil improvement properties of vermicompost, complemented by the quick-release nutrient attributes of urea. The traits with the lowest yield were observed in the control group (T6). A 50% combination of recommended urea dose and vermicompost is recommended for bitter gourd cultivation, leading to improved growth, yield, and quality, underscoring the benefits of organic fertilizer in this situation. The study's findings contribute to the scientific understanding of optimizing fertilization practices in bitter gourd production, minimizing production costs, reducing nutrient losses, and environmental pollution., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)

Epilepsy is an important cause of morbidity and mortality especially in low- and middle-income countries. People with epilepsy (PWE) face difficulties in access to healthcare, appropriate diagnostic tests and anti-seizure medications (ASM). Bhutan is one such country in the Himalayas that has reported doubling of the prevalence of epilepsy from 155.7 per 100,000 population in 2017 to 312.4 in 2021. The country has one centre for electroencephalography and magnetic resonance imaging for a population of 0.7 million and does not have any neurologists as of 2023. There are 16 ASMs registered in the country but only selected medications are available at the primary level hospitals (phenobarbital, phenytoin and diazepam). There are challenges in the availability of these medicines all time round the year in all levels of hospitals. Neurosurgical treatment options are limited by the lack of adequate pre-surgical evaluation facilities and lack of trained human resources. The majority of PWE have reported facing societal stigma with significant impact on the overall quality of life. It is important to screen for psychiatric comorbidities and provide psychological support wherever possible. There is a need for a comprehensive national guideline that will cater to the needs of PWE and their caregivers within the resources available in the country. A special focus on the institutional and human resource capacity development for the study and care of epilepsy is recommended., Competing Interests: Conflicts of interest The authors declare no conflicts of interests., (Copyright © 2023. Published by Elsevier B.V.)

Many marine algae occupy habitats that are dark, deep, or encrusted on other organisms and hence are frequently overlooked by natural product chemists. However, exploration of less-studied organisms can lead to new opportunities for drug discovery. Genetic variation at the individual, species, genus, and population levels as well as environmental influences on gene expression enable expansion of the chemical repertoire associated with a taxonomic group, enabling natural product exploration using innovative analytical methods. A nontargeted LC-MS and 1 H NMR spectroscopy-based metabolomic study of 32 collections of representatives of the calcareous red algal genus Peyssonnelia from coral reef habitats in Fiji and the Solomon Islands revealed significant correlations between natural products' chemistry, phylogeny, and biomedically relevant biological activity. Hierarchical cluster analysis (HCA) of LC-MS data in conjunction with NMR profiling and MS/MS-based molecular networking revealed the presence of at least four distinct algal chemotypes within the genus Peyssonnelia . Two Fijian collections were prioritized for further analysis, leading to the isolation of three novel sulfated triterpene glycosides with a rearranged isomalabaricane carbon skeleton, guided by the metabolomic data. The discovery of peyssobaricanosides A-C ( 15 - 17 ) from two Fijian Peyssonnelia collections, but not from closely related specimens collected in the Solomon Islands that were otherwise chemically and phylogenetically very similar, alludes to population-level variation in secondary metabolite production. Our study reinforces the significance of exploring unusual ecological niches and showcases marine red algae as a chemically rich treasure trove., Competing Interests: The authors declare no competing financial interest., (© 2023 The Authors. Published by American Chemical Society.)

Tuberculosis (TB) is a dreadful infectious disease and a leading cause of mortality and morbidity worldwide, second in 2020 only to severe acute respiratory syndrome 2 (SARS-Cov-2). With limited therapeutic options available and a rise in multidrug-resistant tuberculosis cases, it is critical to develop antibiotic drugs that display novel mechanisms of action. Bioactivity-guided fractionation employing an Alamar blue assay for Mycobacterium tuberculosis strain H37Rv led to the isolation of duryne ( 13 ) from a marine sponge Petrosia sp. sampled in the Solomon Islands. Additionally, five new strongylophorine meroditerpene analogues ( 1 - 5 ) along with six known strongylophorines ( 6 - 12 ) were isolated from the bioactive fraction and characterized using MS and NMR spectroscopy, although only 13 exhibited antitubercular activity.

The COVID-19 pandemic has resulted in more than 524 million cases and 6 million deaths worldwide. Various drug interventions targeting multiple stages of COVID-19 pathogenesis can significantly reduce infection-related mortality. The current within-host mathematical modeling study addresses the optimal drug regimen and efficacy of combination therapies in the treatment of COVID-19. The drugs/interventions considered include Arbidol, Remdesivir, Interferon (INF) and Lopinavir/Ritonavir. It is concluded that these drugs, when administered singly or in combination, reduce the number of infected cells and viral load. Four scenarios dealing with the administration of a single drug, two drugs, three drugs and all four are discussed. In all these scenarios, the optimal drug regimen is proposed based on two methods. In the first method, these medical interventions are modeled as control interventions and a corresponding objective function and optimal control problem are formulated. In this framework, the optimal drug regimen is derived. Later, using the comparative effectiveness method, the optimal drug regimen is derived based on the basic reproduction number and viral load. The average number of infected cells and viral load decreased the most when all four drugs were used together. On the other hand, the average number of susceptible cells decreased the most when Arbidol was administered alone. The basic reproduction number and viral load decreased the most when all four interventions were used together, confirming the previously obtained finding of the optimal control problem. The results of this study can help physicians make decisions about the treatment of the life-threatening COVID-19 infection., (© 2022. Springer Nature B.V.)

COVID-19 pandemic has caused the most severe health problems to adults over 60 years of age, with particularly fatal consequences for those over 80. In this case, age-structured mathematical modeling could be useful to determine the spread of the disease and to develop a better control strategy for different age groups. In this study, we first propose an age-structured model considering two different age groups, the first group with population age below 30 years and the second with population age above 30 years, and discuss the stability of the equilibrium points and the sensitivity of the model parameters. In the second part of the study, we propose an optimal control problem to understand the age-specific role of treatment in controlling the spread of COVID -19 infection. From the stability analysis of the equilibrium points, it was found that the infection-free equilibrium point remains locally asymptotically stable when R 0 < 1 , and when R 0 is greater than one, the infected equilibrium point remains locally asymptotically stable. The results of the optimal control study show that infection decreases with the implementation of an optimal treatment strategy, and that a combined treatment strategy considering treatment for both age groups is effective in keeping cumulative infection low in severe epidemics. Cumulative infection was found to increase with increasing saturation in medical treatment., (© Foundation for Scientific Research and Technological Innovation 2022.)

Introduction: The number of older individuals relocating from their homes to old age homes is increasing in Nepal. This study was conducted to assess the reasons why older people chose to move to old age homes, the status and forms of abuse they experienced, and the risk factors associated with their abuse before moving to old age homes., Materials and Methods: This study was a cross sectional study conducted among older adults currently residing in all the old age homes of Pokhara Lekhnath Metropolitan City. Complete enumeration of the respondents was done and data was collected consecutively, using a semi-structured interview schedule, from all older adults aged 60 years and above who had been living in the homes for at least a month. The total sample size was 109. The collected data was analyzed using descriptive statistics and binary logistic regression was used as an inferential statistics to determine the predictors of abuse., Results: A majority of the respondents (56.0%) came to old age homes on their own volition, 24.7% reported that they came to the homes because they were physically weak and they had no one to care for them at their residence, while 11% reported that they were forcefully sent by their caregivers. Out of total respondents, 60.6% reported that they experienced some form of abuse before they came to the old age home: most frequent was caregiver neglect (34.9%) and verbal abuse (34.9%), while few experienced financial abuse (2.8%). Women were at a higher risk of abuse than men (p<0.05, OR = 4.430, CI = 1.695-11.577) prior to their transfer to old age homes., Conclusions: A majority of the older adults who transferred to old age homes in Pokhara Lekhnath Metropolitan city had been earlier abused by their caregivers, mainly through neglect and verbal abuse, and women were at a higher risk for abuse than men., Competing Interests: The authors have declared no competing interests exist.

Objective: Since December 2019, the COVID-19 pandemic has posed a substantial threat with its associated high mortality, infection, and risk of psychological stress. A large number of students are affected because of a prolonged break from academic activities and staying at home. The focus of this study is to understand the stress levels of Indian students, any psychological imbalances, and their major hurdles during the COVID-19 lockdown., Methods: Using a snowball sampling method, an online survey of the Perceived Stress Scale (PSS) was conducted on students across India. Along with their demographic details, the participants also reported their study patterns and challenges during their confinement period. The statistical scores for the responses were calculated and the demographic variables analysed. The levels indicated by the PSS were compared, and variance and regression analyses were performed., Results: We observed that students were generally stressed during lockdown and the pandemic. Females (mean = 3.03) were more stressed than males (mean = 2.61) as they were constantly under pressure because of stressful life events (OR = 0.752, 95% CI = 2.425-310.642) and apprehensive about their studies (RII = 0.67, OR = 2.168, 95% CI = 0.332-6.691)., Conclusion: During the pandemic, students' mental health needs to be continually monitored as they are stressed owing to fear as well as about their studies and future careers., (© 2021 The Authors.)

Intestinal parasitic infections are among the major public and socioeconomic concerns that have adversely affected the well-being of the poor in developing countries. This research work aimed to inspect the prevalence of gastro-intestinal (GI) among Sarki ethnic group of Pala Rural Municipality, Baglung, Nepal. Total 498 stool samples collected in dry, screw capped clean plastic vails and studied for the presence of parasites using direct smear method as well as by concentration method. Overall parasite positive rate was found to be 31.32% (156/498). The prevalence of single infection was higher than double infection among Sarki ethnic group. There were no significant differences in prevalence of parasites among different age-groups, sexes and villages. Positive rate was considerably higher in females (47.5%; 38/80) compared with males (32.5%; 26/80) (P<0.05). Altogether six genera of parasites were encountered. Of them, Trichuris trichura (53.20%; 264/498) was the most prevalent parasite followed by Ascaris lumbricoides (33.97%; 169/498), Entamoeba coli (4.49%; 22/498), Taenia sp. (3.21%; 16/498), Strongyloides stercoralis (2.56%; 13/498) and Hymenolepis nana (2.56%; 13/498). Remarkable prevalence of intestinal parasitic infection was indicated by the present study carried out among Sarki ethnic group of Pala Rural Municipality, Baglung district of Nepal.

Infections with intestinal protozoans, helminths, and other parasites are major, but overlocked problems in developing countries. Accurate surveys of intestinal parasites in Deula community inform empirical treatment regimens and can assess the impact of community-based drug treatment programs. There is limited information on this topic in Nepal. In a prospective study of intestinal parasites in symptomatic people of the Deula community, January-July 2018, samples were examined by microscopy of a direct and concentrated faecal sample. We studied 150 samples. The median (inter-quartile range) age of the people was 34.5 (16-50.5) years, 52% were female and 48% were male. The proportion of people with abdominal pain was 30.39%, diarrhea 42.16%, anemia 14.71% and malnutrition 3.92%. Altogether 102 (68%) parasitic infections were detected. The most common parasites using all methods of detection were Entamoeba histolytica (35.30%), Giardia lamblia (21.57%), Trichuris trichiura (14.71%), hookworm (13.73%), Ascaris lumbricoides (7.84%) and Strongyloides stercoralis (6.85%). E. histolytica was most common, followed by G. lamblia in all age groups, T. trichiura and A. lumbricoides. Hookworm and S. stercoralis were more common with increasing age. This study substantiate the significance of intestinal parasitic infections in indicative Deula community and the need for adequate facilities for laboratory diagnosis together with education to improve personal hygiene and sanitation.

Provision of additional food supplements for the purpose of biological conservation has been widely researched both theoretically and experimentally. The study of these biosystems is usually done using predator-prey models. In this paper, we consider an additional food provided predator-prey system in the presence of the inhibitory effect of the prey. This model is analyzed in the control parameter space using the control parameters, quality and quantity of additional food. The findings suggest that with appropriate choice of additional food to predators, the biosystem can be controlled and steered to a desirable state. It is also possible to eliminate either of the interacting species. The vital role of the quality and quantity of the additional food in the system dynamics cautions the eco manager on the choice of the additional food for realizing the goal in the biological conservation programme.