Impact of COVID 19 on Indian Migrant Workers: Decoding Twitter Data by Text Mining.

The Coronavirus pandemic has induced a huge economic crisis. The norms of social distancing and consequent lockdown to flatten the curve of this infection has brought economic activity across the globe to a standstill. A mass exodus of workers from major urban centres of India to their native villages started. Mental, financial and emotional agony inflicted due to job-loss, lack of job and livelihood opportunities led to this. A massive macroeconomic crisis for the country with serious ramifications has consequently exploded. The present study explores and captures the diffusion and discovery of information about the various facets of reverse migration in India using Twitter mining. Tweets provide extensive opportunities to extract social perceptions and insights relevant to migration of workers. The massive Twitter data were analysed by applying text mining technique and sentiment analysis. The results of the analysis highlight five major themes. The sentiment analysis confirms the confidence and trust in the minds of masses about tiding through this crisis with government support. The study brings out the major macroeconomic ramifications of this reverse migration. The study's findings indicate that a concentrated joint intervention by the State and Central Governments is critical for successfully tiding through this crisis and restoring normalcy. The subsequent policy measures announced by the government are being critically gauged. In addition, the authors have proposed measures to ameliorate this damage on the formal and informal sectors.

Vulnerability of Soil Microbiome to Monocropping of Medicinal and Aromatic Plants and Its Restoration Through Intercropping and Organic Amendments.

Cultivation of medicinal and aromatic plants (MAPs) is persistently increasing due to excessive demands of naturals. Agricultural land and its microbial diversity are primarily adapted to conventional crops, and introduction of MAP and their continuous monocropping may disturb the ecological stability of soil microbiome. Here, the effect of cultivation of MAPs on soil microbial diversity was studied. The aim of the study is to examine the effects of cultivation of MAPs on the possible shift in soil microbial diversity and to restore such impacts by using organic amendments or intercropping. Terminal restriction fragments polymorphism (TRFLP) and next-generation sequencing (NGS) studies showed that of the various selected MAPs, maximal modulation in the soil microbial diversity patterns was noticed in fields of Mentha arvensis and Artemisia annua, and the traces of essential oil/phytochemicals were detected in bulk and rhizospheric soil. In both Artemisia- and Mentha-cultivated soil, the total operating taxonomic unit (OTU) declined in both bulk and rhizospheric soil in comparison to control (Zea mays), but the bacterial richness of Mentha soil was slightly higher than that of control. However, cultivation of Mentha improved the evenness of the microbial community. The inclusion of crops like Sesbania and Chlorophytum and the application of vermicompost (VC) enhanced the microbial richness and evenness, thereby restoring the soil microbial state shift and resulting in higher productivity in the continuously Mentha cropped field. Our study concludes that long-term cultivation of some MAPs may affect the richness but promote the evenness of microbial diversity. The state shift could be restored to some extent, and crop productivity could be enhanced by the inclusion of selected crops and organic manures in cropping systems.

Prevalence of cryptococcal meningitis among people living with human immunodeficiency virus/acquired immunodeficiency syndrome in a Tertiary Care Hospital, Southern Odisha, India.

OBJECTIVE: Cryptococcal meningitis (CM) caused by encapsulated opportunistic yeast Cryptococcus neoformans is an important contributor to morbidity and mortality in people living with human immunodeficiency virus/acquired immunodeficiency syndrome (PLHAs). Early diagnosis of such patients is the key to their therapeutic success. A retrospective study was conducted to evaluate the clinical features, laboratory findings, and prevalence of CM among hospitalized PLHAs in a tertiary care setting. MATERIALS AND METHODS: A total of 112 clinically diagnosed CM patients were subjected to cerebrospinal fluid analysis and tests for human immunodeficiency virus antibodies by the standard laboratory operating procedures. RESULTS: Out of 112, 16 showed a definite diagnosis of C. neoformans with the prevalence of 14.3%. Males in the age group of 21-40 years were most commonly affected than females. The clinical manifestations observed were fever and headache (100%), followed by altered sensorium (93.7%), neck stiffness (75%), and vomiting (62.5%). Overall, Cluster of differentiation 4 (CD4) T-lymphocytes count was <100 cells/µl except 1 case in which the CD4 T-lymphocytes count was 137 cells/µl. No concomitant cryptococcal and tubercular meningitis case was detected. All 16 patients responded initially to induction therapy of IV amphotericin B 1 mg/kg and fluconazole 800 mg daily for 2 weeks. Subsequently, 4 (25%) patients were lost for follow-up and 2 (12.5%) patients expired during their hospital stay. CONCLUSION: As the clinical and radiological pictures of CM are often non-pointing, routine mycological evaluation is necessary for early definite diagnosis and subsequent initiation of appropriate therapy as the majority of patients respond well to treatment if started early.

Frequency, risk factors, and antibiogram of Acinetobacter species isolated from various clinical samples in a tertiary care hospital in Odisha, India.

BACKGROUND: For the past two decades, Acinetobacter spp. have emerged as an important pathogen globally in various infections. OBJECTIVES: This study was conducted to determine the frequency, risk factors, and antibiotic resistance pattern of Acinetobacter spp. from various clinical samples. MATERIALS AND METHODS: This retrospective, hospital record-based, cross-sectional study included a total of 8749 clinical samples collected from patients at a tertiary care hospital in Odisha, India from July 2010 to December 2012. The samples were processed and identified by standard protocol. The Acinetobacter isolates were tested for antibiotic resistance by Kirby-Bauer disk diffusion method [according to the Clinical and Laboratory Standards Institute (CLSI) guidelines]. RESULTS: From 8749 clinical samples, 4589 (52.5%) yielded significant growth and only 137 (3%, 137/4589) Acinetobacter spp. were isolated. Maximum (56.9%) isolates were obtained from pus/swab, followed by blood (13.1%) and urine (12.4%). Elderly age, being inpatients, longer duration of stay in the hospital, associated co-morbidity, and invasive procedure were found to be significant risk factors in the setup investigated (P is less than 0.05). Out of 137 isolates, 75 (54.7%) were resistant to more than three classes of antibiotics (multidrug resistant) and 8 (5.8%) were resistant to all commonly used antibiotics (pan-drug resistant). Majority of the isolates were sensitive to imipenem, meropenem, and piperacillin/tazobactam, and showed resistance rates of 19%, 22%, and 23%, respectively. All eight pan-drug resistant isolates were 100% sensitive to colistin. CONCLUSION: This hospital-based epidemiological data will help to implement better infection control strategies and improve the knowledge of antibiotic resistance patterns in our region.