21 research outputs found

    Comparative analysis of COVID-19 case fatality rate between two waves in Nepal

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    The first COVID-19 case in Nepal was reported on January 23, 2020. Then infection, then, started to spread gradually, and October marked the most devastating increase in COVID-19 cases of the year 2020. Compared with the October 2020 peak in Nepal, the May 2021 peak of COVID-19 observed 2- and 10-fold rise in new cases and deaths per day, respectively. Given that this surprising increase in the death rate was not observed in other countries, this study analyzed the COVID-19 case fatality rates between the two peaks in Nepal. We found an increase in death rates among younger adults and people without comorbidities

    Burden of tuberculosis and hepatitis co-infection among people living with HIV in Nepal: a systematic review and meta-analysis

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    People living with HIV (PLHIV) are prone to tuberculosis (TB) and hepatitis co-infections, which cause substantial burden on morbidity and mortality. However, data on the burden of HIV co-infection from a specific low- and middle-income country are limited. To address this gap in evidence, a meta-analysis of published literature and country surveillance report was conducted to estimate the burden of TB, hepatitis B (HBV) and hepatitis C (HCV) co-infection among PLHIV in Nepal. Twenty-three studies, including 5900 PLHIV, were included in the meta-analysis. The pooled prevalence of HIV-TB, HIV-HBV and HIV-HCV co-infection was 19% (95% CI, 10-28%), 3% (2-5%) and 19% (4-33%), respectively. Low CD4 cell count (pooled odds ratio [OR] 4.38, 95% CI 1.11-17.25), smoking (3.07, 1.48-6.37) and alcohol drinking (3.12, 1.52-6.43) were significantly correlated with HIV-TB co-infection. The odds of HCV co-infection was greater in PLHIV, who were male (5.39, 1.54-18.89) and drug users (166.26, 15.94-1734.44). PLHIV who were on antiretroviral therapy had a reduced risk of HCV co-infection (0.49, 0.36-0.66) than the general PLHIV population. The burden of TB and hepatitis co-infection among PLHIV in Nepal was high. Regular screening of PLHIV for co-infections and prompt initiation of treatment are essential to reduce the transmission of infection and improve quality of life

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Prevalence and correlates of substance use among health care students in Nepal: a cross sectional study

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    Abstract Background Substance use among health care students threatens professional standards and the delivery of quality services, potentially placing the public at risk. Therefore, our study aims to determine the prevalence and correlates associated with substance use among Nepalese health care students. Method A cross-sectional survey using a self-administered health professional questionnaire was conducted among pharmacy, nursing, and public health students at three universities in Nepal in 2010. Results We analyzed data from 407 respondents (response rate, 82%) with a mean age of 22 years (standard deviation = 3.71). The overall lifetime prevalence of substance use (i. e., illegal use of prescription drugs and illegal drug use) was 42.8%. Marijuana was the most commonly used illegal drug (8.8%) and minor opiates (e.g., codeine cough syrups) were the most widely used illegal prescription drugs (32.4%). Substance use was directly associated with cigarette smoking, peer influence, and heavy drinking. In addition, respondents reported some major and minor dysfunctions because of their substance use. Conclusion The prevalence of substance use among health care students at the three universities in Nepal was high. Peer influence, cigarette smoking, and heavy drinking were significant predictors of substance use

    COVID-19 Vaccine Acceptance: A Case Study from Nepal

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    While vaccine acceptance changes over time, and factors determining vaccine acceptance differ depending on disease and region, limited studies have evaluated vaccine acceptance in Nepal. We conducted an online, cross-sectional study to assess COVID-19 vaccine acceptance among Nepalese. Data were collected before and after the vaccine approval in Nepal, during which 576 and 241 responses were obtained, respectively. We found that vaccine acceptance was generally high among Nepalese (93%) and increased after the safety of vaccine was examined by the regulatory bodies (98%). This indicated the role of the national drug regulatory authority to convey drug safety. In addition, we analyzed the predictor(s) of vaccine acceptance. We found that the people who believe that vaccine is an effective measure in preventing and controlling the disease were highly likely to accept vaccination. Given that Nepal had just passed the most devastating wave of COVID-19 during our post-approval data collection, we assume that this might have also played a role in the belief that vaccination is an appropriate approach to combat the pandemic. Likewise, the number of people willing to vaccinate as soon as possible increased from 43% to 86% after approval. Therefore, our results indicate that the government needs to focus on assuring the safety and effectiveness of a vaccine to enhance acceptance. Although fewer responses obtained after vaccine approval might have affected our results, overall, our findings indicate vaccine acceptance is likely to be affected by socio-demographic factors and the attitudes of respondents. This should be carefully considered in the rollout of the vaccination plans in Nepal and countries alike in future

    Novel Pathogenic Mucorales Identified Using the Silkworm Infection Model

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    Mucormycosis, a rare but highly fatal infection, is caused by fungi of the order Mucorales. Due to their ubiquitous nature, reduced susceptibility to antifungals, acid tolerance, and ability to infect immunocompromised patients through rapid dissemination, these fungi have been frequently reported to infect the COVID-19 patients. In order to develop strategies to overcome mucormycosis, it is essential to understand and identify novel Mucorales present in the environment. In this study, we report the identification of four novel pathogenic Mucorales using the silkworm (Bombyx mori) model. The strains’ phylogeny was analyzed using the genome sequence of the large subunit ribosomal ribonucleic acid (LSU rRNA) and the internal transcribed spacer (ITS) region, where strains 1-3, 5-3, and S286-1101 claded with Mucor orantomantidis, and strain 827-14 claded with Backusella lamprospora. All the strains had a cold-sensitive phenotype with their inability to grow prominently at 4 °C. Mucor sp. 1-3 and 5-3 were characterized by their filamentous and yeast-like growth under aerobic and anaerobic conditions, respectively. The yeast colonies of Mucor sp. 5-3 had multipolar budding cells often observed with cleaved cell surfaces under a scanning electron microscope. We further found that these strains were able to kill immunocompromised mice suggesting their pathogenicity to mammals. Our study established an invertebrate model-based screening system to identify novel pathogenic Mucorales from the natural environment and provided a clue towards the rapid increase in COVID-19 related mucormycosis
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