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1.
Pakistan Journal of Medical and Health Sciences ; 16(11):296-298, 2022.
Article in English | EMBASE | ID: covidwho-2207091

ABSTRACT

Objective: To determine the prevalence of anxiety and depression among the COVID-19 infected patients. Study design: Descriptive cross-sectional study. Place and Duration of Study: Rawalpindi Medical University and Allied Hospitals Covid designated wards from 1stApril 2019 and 30thJune 2020 Methodology: Hundred patients of either gender presented with Covid-19 infection were enrolled. Detailed demographics and complete medical examination was done after taking informed written consent. Those patients who fulfil the clinical criteria Hamilton rating scale for anxiety (HAMA) and Hamilton rating scale for depression (HRSD) were applied to assess the severity of anxiety and/or depression. Result(s): There were 69 (69%) males and 31 (31%) females. Eighty two (82%) patients fall in the age range of 21 to 50 years with the mean of 38 years. There is high level of anxiety as well as depression among admitted patients suffering from COVID-19. Seventy five (75%) patients suffered from depression and 72 (72%) of patients suffered from anxiety ranging from mild to severe. Conclusion(s): It is concluded that patients suffering from Covid-19 disease had high prevalence of depression and anxiety. Copyright © 2022 Lahore Medical And Dental College. All rights reserved.

2.
Global Nest Journal ; 24(1):29-36, 2022.
Article in English | Scopus | ID: covidwho-1791353

ABSTRACT

Carbon footprint (CF) is a measure of greenhouse gas emissions generated from daily human-induced activities as carbon dioxide equivalent. This study is an attempt to represent a consumption-based CF study from the scope of transportation, electricity, and waste generation for University of the Punjab (PU), Lahore under the WRI/WBCSD greenhouse gas protocol corporate standards. Data acquired through fieldwork, questionnaire surveys, direct sampling, and existing records for the year 2019-20 suggested that electricity is the greatest contributor of CO2 emissions at 59%, followed by transportation at 36%, and waste generation at approximately 5%. The total CF(CO2_eq) generated from different sources is about 18360.62MT for one year. The recent COVID-19 lockdown has offered inimitable prospect to compare the carbon footprint of one of the largest higher education institutes of Pakistan before and during this pandemic. The data can serve for tracking, assessing, and setting goals for greenhouse gas emission reduction programs in future. © 2022 Global NEST.

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