Browsing by Author "Shubham Kumar"

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Anxiety, Depression and Behavioural Changes in Junior Doctors and Medical Students Associated with the Coronavirus Pandemic: A Cross-Sectional Survey
(Springer, 2021) Uma Pandey; Gillian Corbett; Suruchi Mohan; Shuja Reagu; Shubham Kumar; Thomas Farrell; Stephen Lindow
Introduction: Medical students are known to have high levels of depression, anxiety and stress from the high-pressure environments that they study and train in. The coronavirus pandemic presents source of stress and anxiety to large populations in general, and to healthcare professionals in particular. This study was undertaken to assess the psychological effects of this pandemic on the mental health of medical students and trainees. Materials and Methods: An online questionnaire was designed to capture information on the participant’s anxieties related to the pandemic and included a validated tool for the assessment of anxiety and depression symptoms (GAD-7 and PHQ-9, respectively). The questionnaire was prepared on Google Forms, and the link to the questionnaire was disseminated to 113 medical students and junior doctors on 19 April 2020, and the survey closed on 22 April 2020 midnight. Results: The survey was sent to 113 students, and 83 students participated. Of the participants, 47 (56.6%) were female and 36 (43.4%) were male, and 80 (96.4%) were aged less than 30 years old. Formal anxiety and depression scores using the GAD-7 and PHQ-9 tools indicated 15/82 (18.3%) had anxiety scores of 0 (lowest possible) and 21/82 (25.6%) had the lowest possible depression score of 0. However, 6/82 (7.3%) had scores that were classified as severe depression. Females had significantly higher median anxiety (5 v 2, p < 0.002) and depression scores (5 v 3, p = 0.025) than male participants. Direct patient care and care of patients with Covid-19 did not result in significant deterioration in anxiety and depression. Conclusion: Female students/junior doctors showed higher anxiety and depression scores than males. Direct patient care and care of patients with Covid-19 did not result in a measurable deterioration in anxiety and depression in this study. In this stressful pandemic situation, it is imperative to look after the mental health of healthcare workers as well as patients. © 2020, Federation of Obstetric & Gynecological Societies of India.
Digital hemispherical photographs and Sentinel-2 multi-spectral imagery for mapping leaf area index at regional scale over a tropical deciduous forest
(Springer, 2024) Mukunda Dev Behera; J.S.R. Krishna; Somnath Paramanik; Shubham Kumar; Soumit K. Behera; Sonik Anto; Shiv Naresh Singh; Anil Kumar Verma; Saroj K. Barik; Manas Ranjan Mohanta; Sudam Charan Sahu; Chockalingam Jeganathan; Prashant K. Srivastava; Biswajeet Pradhan
The leaf area index (LAI) provides valuable input for modeling climate and ecosystem processes. However, ground-based observations are necessitated across various phenophases from dense tropical forests for a better understanding in terms of their contribution to carbon fixation. In this study, Digital Hemispherical Photography (DHP) was used for LAI observation from Similipal Biosphere Reserve, and to predict high-resolution LAI using Random Forest Machine Learning approach. Observations were taken from ninety-three Elementary sampling units (ESUs) corresponding to the beginning and end of leaf fall seasons across moist deciduous, dry deciduous, and semi-evergreen forests. LAI demonstrated high values for dry deciduous, followed by semi-evergreen and moist deciduous forests for the start of the leaf fall season, whereas moist deciduous forests demonstrated high values during the end of the leaf fall season. Satellite-based spectral reflectance bands of Sentinel-2 and vegetation indices (VIs) were used as predictor variables, wherein the band-7, band-8, band-12, enhanced vegetation index (EVI), and Red-edge based EVI were evaluated as the most dominant responsive variables for LAI estimation. Random Forest (RF) model provided good accuracy (R2 = 0.64, RMSE = 0.62) with observed DHP-based LAI. However, a comparison of RF model-based predicted LAI with global LAI products (MOD15A2H and VNP15A2H) provided a moderate correlation. Such studies demonstrate the potential of site or region-specific case studies to evaluate coarser-resolution global LAI products for possible improvement. © International Society for Tropical Ecology 2024.
Impact of extreme weather events on cropland inundation over Indian subcontinent
(Springer Science and Business Media Deutschland GmbH, 2023) A Jaya Prakash; Shubham Kumar; Mukunda Dev Behera; Pulakesh Das; Amit Kumar; Prashant Kumar Srivastava
Cyclonic storms and extreme precipitation lead to loss of lives and significant damage to land and property, crop productivity, etc. The “Gulab” cyclonic storm formed on the 24th of September 2021 in the Bay of Bengal (BoB), hit the eastern Indian coasts on the 26th of September and caused massive damage and water inundation. This study used Integrated Multi-satellite Retrievals for GPM (IMERG) satellite precipitation data for daily to monthly scale assessments focusing on the “Gulab” cyclonic event. The Otsu’s thresholding approach was applied to Sentinel-1 data to map water inundation. Standardized Precipitation Index (SPI) was employed to analyze the precipitation deviation compared to the 20 years mean climatology across India from June to November 2021 on a monthly scale. The water-inundated areas were overlaid on a recent publicly available high-resolution land use land cover (LULC) map to demarcate crop area damage in four eastern Indian states such as Andhra Pradesh, Chhattisgarh, Odisha, and Telangana. The maximum water inundation and crop area damages were observed in Andhra Pradesh (~2700 km2), followed by Telangana (~2040 km2) and Odisha (~1132 km2), and the least in Chhattisgarh (~93.75 km2). This study has potential implications for an emergency response to extreme weather events, such as cyclones, extreme precipitation, and flood. The spatio-temporal data layers and rapid assessment methodology can be helpful to various users such as disaster management authorities, mitigation and response teams, and crop insurance scheme development. The relevant satellite data, products, and cloud-computing facility could operationalize systematic disaster monitoring under the rising threats of extreme weather events in the coming years. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Introduction to GPS/GNSS technology
(Elsevier, 2021) Amit Kumar; Shubham Kumar; Preet Lal; Purabi Saikia; Prashant K. Srivastava; George P. Petropoulos
Satellite-based navigation systems are one of the most indispensable technologies in the present-day world that have made a vast improvement since the day of its inception due to global availability of signal and performance. It allows measuring positions in real time with an accuracy of up to a few centimeters on the Earth. The advent of Global Positioning System (GPS) has led to technological revolutions in highly accurate navigation, positioning, and time that is being applied in various civilian, military, and scientific purposes. GPS works on the radio waves that are being transmitted from a space-based group of satellites to the terrestrial GPS receiver to deduce the exact position of the Earth. Although there are various errors related to clock errors, multipath error, receiver noise, and antenna phase center variations at satellite as well as receivers end, it is being resolved through technological advancement and methods. Incorporating both GPS and GLONASS constellations in the navigation system may significantly improve the accuracy of the navigational solution. This chapter aims to discuss the various concepts of GPS, including working principle, various errors, various Global Navigation Satellite System technologies evolving from GPS to Quasi-Zenith Satellite System, and its vivid applications. © 2021 Elsevier Inc. All rights reserved.
Persistent Health Issues, Adverse Events, and Effectiveness of Vaccines during the Second Wave of COVID-19: A Cohort Study from a Tertiary Hospital in North India
(MDPI, 2022) Upinder Kaur; Sapna Bala; Aditi Joshi; Noti Taruni Srija Reddy; Chetan Japur; Mayank Chauhan; Nikitha Pedapanga; Shubham Kumar; Anurup Mukherjee; Vaibhav Mishra; Dolly Talda; Rohit Singh; Rohit Kumar Gupta; Ashish Kumar Yadav; Poonam Jyoti Rana; Jyoti Srivastava; Shobha Bhat K; Anup Singh; G. Naveen Kumar P.; Manoj Pandey; Kishor Patwardhan; Sangeeta Kansal; Sankha Shubhra Chakrabarti
Background There is paucity of real-world data on COVID-19 vaccine effectiveness from cohort designs. Variable vaccine performance has been observed in test-negative case-control designs. There is also scarce real-world data of health issues in individuals receiving vaccines after prior COVID-19, and of adverse events of significant concern (AESCs) in the vaccinated. Methods: A cohort study was conducted from July 2021 to December 2021 in a tertiary hospital of North India. The primary outcome was vaccine effectiveness against COVID-19 during the second wave in India. Secondary outcomes were AESCs, and persistent health issues in those receiving COVID-19 vaccines. Regression analyses were performed to determine risk factors of COVID-19 outcomes and persistent health issues. Results: Of the 2760 health care workers included, 2544 had received COVID-19 vaccines, with COVISHIELD (rChAdOx1-nCoV-19 vaccine) received by 2476 (97.3%) and COVAXIN (inactivated SARS-CoV-2 vaccine) by 64 (2.5%). A total of 2691 HCWs were included in the vaccine effectiveness analysis, and 973 COVID-19 events were reported during the period of analysis. Maximum effectiveness of two doses of vaccine in preventing COVID-19 occurrence was 17% across three different strategies of analysis adopted for robustness of data. One-dose recipients were at 1.27-times increased risk of COVID-19. Prior SARS-CoV-2 infection was a strong independent protective factor against COVID-19 (aOR 0.66). Full vaccination reduced moderate–severe COVID-19 by 57%. Those with lung disease were at 2.54-times increased risk of moderate–severe COVID-19, independent of vaccination status. AESCs were observed in 33/2544 (1.3%) vaccinees, including one case each of myocarditis and severe hypersensitivity. Individuals with hypothyroidism were at 5-times higher risk and those receiving a vaccine after recovery from COVID-19 were at 3-times higher risk of persistent health issues. Conclusions: COVID-19 vaccination reduced COVID-19 severity but offered marginal protection against occurrence. The possible relationship of asthma and hypothyroidism with COVID-19 outcomes necessitates focused research. With independent protection of SARS-CoV-2 infection, and high-risk of persistent health issues in individuals receiving vaccine after recovery from SARS-CoV-2 infection, the recommendation of vaccinating those with prior SARS-CoV-2 infection needs reconsideration. © 2022 by the authors.
Spatio-temporal variability analysis of evapotranspiration, water use efficiency and net primary productivity in the semi-arid region of Aravalli and Siwalik range, India
(Springer Science and Business Media B.V., 2023) Shubham Kumar; Ritesh Kumar; Manoj Kumar; Alok Kumar Pandey; Prashant K. Srivastava; Sanchit Kumar; Varun Narayan Mishra; V.S. Arya
Sustainable and effective water use management is a global challenge for optimum productivity for all types of vegetation cover. Evapotranspiration (ET) is one of the key components determining the soil moisture conditions ensuring the water availability for vegetation in an area. The present study provides a strong basis for existing water conditions in the study area using evapotranspiration as an important tool. There is a large variability in evapotranspiration during the different months of the year 2022–23 as well as over a long period of study ranging from the year 2001 to 2022. Water use efficiency in the study area is 0.32 g C/kg H2O which is less than half that of China and USA. The study showed an increasing trend of net primary productivity (NPP) and water use efficiency (WUE) during 2001–22. The comparatively lower WUE and NPP in comparison with global average are of great concern for a semi-arid region, which is also India’s leading agricultural producer state. © 2023, The Author(s), under exclusive licence to Springer Nature B.V.
Urban-rural and gender differential in depressive symptoms among elderly in India
(Elsevier B.V., 2023) Shubham Kumar; Shekhar Chauhan; Ratna Patel; Manish Kumar; David Jean Simon
Background: To date, evidence remained inconclusive explaining rural-urban and male-female differential in depression. Unlike other previous research on the association of several risk factors with depressive symptoms among the elderly, this study focussed on the socio-economic status-related inequality in the prevalence of depression among the elderly along with focussing urban-rural and male-female gradients of depression among the elderly. Methods: This study used data from Longitudinal Ageing Study in India (LASI) Wave-I, 2017-18, survey. The outcome variable for this study was self-reported depression. Bivariate analysis was used to understand the prevalence by sociodemographic clusters. Fairlie decomposition analysis has been done to measures rural-urban inequalities for depression among older men and women. Results: Results found that around 22 percent of urban elderly and 17 percent of rural elderly reported depression. A higher proportion of female elderly (22.6% vs. 18.4%) reported depression than male elderly. Almost one in every five elderly (20.6%) reported depression in India. The results found that a higher percentage of women in rural and urban areas reported depression than their male counterparts. While examining SES-related inequality in the prevalence of depression, education was a significant factor explaining the SES-related inequality in the prevalence of depression among female elderly and not in male elderly. Conclusion: Given the large proportion of elderly reporting depression, this study highlights the need for improving health care services among the elderly. The increasing burden of depression in specific sub-populations also highlights the importance of understanding the broader consequences of depression among rural and female elderly. © 2023 The Authors