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Background Intestinal parasitic infections continue to loom in developing countries with low sanitation and socioeconomic conditions. Pandemic times are especially important to study the prevalence of these pathogens since the focus of all healthcare services was coronavirus disease 2019 (COVID-19). This study aimed to evaluate the prevalence and time-trend of intestinal parasitic infections in the capital region of India during the pandemic times.Methods In this cross-sectional study, a retrospective review based on data from the past 2 years in the post-COVID-19 pandemic was used. Descriptive and time-trend analyses were applied to the data. Time series analysis was analyzed using the best fit autoregressive integrated moving average (ARIMA) model to look for seasonality in trends and forecasting.Results A total of 7267 patients' stool samples over a 2-year pandemic period were included in the study. Intestinal parasites were detected in 11.18% (813/7276) patients. Giardia lamblia (2.28%) and Blastocystis hominis (3.78%) were the predominant ones. Time-trend analysis from 2020 to 2021 using ARIMA model predicted an increasing trend with waning of pandemic. The most prevalent infection was found in the monsoon and autumn months.Conclusion Rates of infection with Giardia lamblia and Blastocystis hominis have increased in comparison to other protozoan infections like Entamoeba histolytica when compared with prepandemic hospital-based studies. With fading of the pandemic, further increasing trends are predicted.
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Background: The COVID-19 pandemic severely impacted patients with acute lymphoblastic leukemia(ALL) in maintenance phase of chemotherapy. Teleconsultation was introduced to ensure continuity of care for these patients during the lock-down phase of the pandemic and was continued well after its end. Hence, we decided to analyze the impact of teleconsultation in a cohort of ALL patients. Method(s): Our study was a single-centre retrospective analysis of patients with ALL on maintenance chemotherapy. Thirty-five patients records were analyzed, comparison was made between absolute neutrophil counts (ANC) and frequency of consultations before and after the start of teleconsultation, which included 2-weekly phone calls, necessitating visit only once in 3 months as opposed to a monthly visit as required before. Hemograms were done twice a month and sent on WhatsApp. Consultations were done via phone calls and prescriptions sent via WhatsApp. Result(s): The median [IQR] age of our cohort was 7.5 [4.2;9.3] years and age at diagnosis was 5.4 [2.3;7.5] years;23/35 (66%) were male and 30/35 (88%) were phenotypically B-ALL;rest T-ALL/Lymphoma. All patients received chemotherapy as per the ICiCLE (Indian Collaborative Childhood Leukaemia group) protocol. A total of 437 teleconsultations were done (73/month). Before teleconsultation, the mean (SD) ANC was 2272 (644)//microL, and after teleconsultation it was 1754 (461)/microL (p value=0.0001). Teleconsultation improved target ANC (<2000/microL) attainment in our cohort of patients (31% vs 80%, p value=0.0002). Prior to teleconsultation, majority (27/35, 77%) visited the hospital once a month which reduced to once in 3 months, after teleconsultation. Conclusion(s): Teleconsultation is time saving, economical and reduces the gap in schooling in a child with ALL. It also helps optimize compliance during this maintenance phase of chemotherapy, a key in management of leukemia patients, contributing to the continuum of care and improvement in overall survival of these patients. Copyright © 2022
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BACKGROUND: This meta-analysis provides a quantitative measure of the otorhinolaryngological manifestations of coronavirus disease 2019 in children. METHODS: A structured literature review was carried out using PubMed, Embase and Cochrane Central, employing pertinent search terms. The statistical analysis was performed using Stata version 14.2 software, and the analysed data were expressed as the pooled prevalence of the symptoms with 95 per cent confidence intervals. RESULTS: The commonest symptoms noted were cough (38 per cent (95 per cent confidence interval = 33-42; I2 = 97.5 per cent)), sore throat (12 per cent (95 per cent confidence interval =10-14; I2 = 93.7 per cent)), and nasal discharge (15 per cent (95 per cent confidence interval = 12-19; I2 = 96.9 per cent)). Anosmia and taste disturbances showed a pooled prevalence of 8 per cent each. Hearing loss, vertigo and hoarseness were rarely reported. CONCLUSION: Cough, sore throat and nasal discharge were the commonest otorhinolaryngological symptoms in paediatric patients with coronavirus disease 2019. Compared with adults, anosmia and taste disturbances were infrequently reported in children.
Subject(s)
COVID-19 , Pharyngitis , Adult , Anosmia , COVID-19/complications , COVID-19/epidemiology , Child , Cough/epidemiology , Cough/etiology , Humans , Pharyngitis/epidemiologyABSTRACT
Purpose The Denial of Service (DoS) attack is a category of intrusion that devours various services and resources of the organization by the dispersal of unusable traffic, so that reliable users are not capable of getting benefit from the services. In general, the DoS attackers preserve their independence by collaborating several victim machines and following authentic network traffic, which makes it more complex to detect the attack. Thus, these issues and demerits faced by existing DoS attack recognition schemes in cloud are specified as a major challenge to inventing a new attack recognition method. Design/methodology/approach This paper aims to detect DoS attack detection scheme, termed as sine cosine anti coronavirus optimization (SCACVO)-driven deep maxout network (DMN). The recorded log file is considered in this method for the attack detection process. Significant features are chosen based on Pearson correlation in the feature selection phase. The over sampling scheme is applied in the data augmentation phase, and then the attack detection is done using DMN. The DMN is trained by the SCACVO algorithm, which is formed by combining sine cosine optimization and anti-corona virus optimization techniques. Findings The SCACVO-based DMN offers maximum testing accuracy, true positive rate and true negative rate of 0.9412, 0.9541 and 0.9178, respectively. Originality/value The DoS attack detection using the proposed model is accurate and improves the effectiveness of the detection.