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The basic priority to neutralize carbon emissions (CE) is to achieve the sustainable development goal of climate action. In this regard, the role of renewable energy (RE) is widely debated. Transition to RE and environment-related innovation in technologies (ERIT) is a need of the hour. However, the challenge of uncertain economic policies in the transition process is interesting to study. Therefore, the present study intends to add a value to the literature by re-examining the interactive effect of economic policy uncertainty (EPU) in RE and ERIT and the transition process towards carbon neutrality. The second-generation econometric methodology is applied to empirically test the proposed interactive linkage of EPU, RE, ERIT, and CE. Findings reported the negative role of EPU in adopting RE and ERIT in seven emerging economies: Brazil, China, India, Indonesia, Mexico, Russia, and Turkey. However, the ERIT and RE are found to be supportive of neutralizing the CE. Emerging seven (E7) countries are suggested to be consistent in their economic policies to nurture the transition process toward a sustainable environment.

The basic purpose of this study is to investigate the factors affecting non-performing loans of microfinance banks in Pakistan during the COVID-19 Pandemic. The research used secondary data from the Pakistan Bureau of Statistics and SBP websites regarding the banking industry in FY 2020–2021, and the data was subjected to a multi-regression analysis. The analysis included a number of variables, including GDP growth rate, management efficiency, bank size and return on assets. According to the study's results, all three variables had a statistically significant affect on the outcome except business size. Non-performing loans have been found to have a important positive association with the country's economy.

Objective: To evaluate the spectrum of HRCT findings of COVID-19 in RT-PCR positive patients according to duration of infection and severity of disease. Methods: This retrospective study was conducted at Radiology department of Lahore General Hospital, Lahore from May to July 2020. Total 40 COVID-19 patients were reviewed for clinical features, HRCT chest findings based on time from symptom onset and CT conduction. Chi-square and fissure exact test were used for measuring association with severity of COVID-19, p value ≤0.05 was reported significant. Mean CT scores were calculated. ROC curve analysis showed threshold values of CT-SS for severe disease. Results: Of total 40 patients with age ranged from 22-83 years, 22(55%) were males and 18(45%) females. The hallmark of COVID-19 was combined GGO and consolidation, GGO alone and consolidation alone in bilateral, sub pleural and posterior distribution. Early stage had normal CT or GGO alone, intermediate and late stage had both GGO and consolidation. Septal lines/bands and crazy paving pattern were prevalent in late stage. Clinically, 24 (60%) were in severe group and 16(40%) in mild group. Severity of COVID-19 was associated with GGO alone (p=0.05), GGO and consolidation (p=0.01), crazy paving (p=0.01) and lung scores (p≤0.05). The threshold values of CT-SS for identifying severe disease by two radiologists were 18.50 and 20.50. Conclusion: HRCT manifestations along with CT-SS aids in predicting disease severity. Staging according to duration of infection is effective in understanding variation in pattern of chest findings in coronavirus disease. doi: https://doi.org/10.12669/pjms.38.1.4204 How to cite this:Irshad N, Hanif N. Spectrum of High Resolution Computed tomography chest findings in PCR positive COVID-19 patients according to duration of infection and CT severity score assessment. Pak J Med Sci. 2022;38(1):106-112. doi: https://doi.org/10.12669/pjms.38.1.4204 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Objective To compare the diagnostic accuracies of HRCT chest and RT-PCR results in diagnosis of coronavirus disease (COVID-19) in a tertiary care hospital in Lahore. Study design Descriptive study. Place and duration of study Department of Radiology and Central Research Lab, Lahore General Hospital, Lahore, from April to July, 2020. Methodology Patients aged 18 to 83 years, who had clinically suspected symptoms of COVID-19 (fever, cough/sore throat or shortness of breath) presenting in outpatient or emergency department, were included. These patients had their HRCT chest conducted from Radiology Department and RT-PCR performed at Central Research Lab. These data were retrieved from electronic system of PACS. Results were categorised into positive and negative findings for COVID-19. Diagnostic accuracies of HRCT chest and first RT-PCR along with 95% confidence interval were calculated. Results A total of 94 patients, 55 (58.5%) males and 39 (41.5%) were females. Out of them, 83% patients had positive HRCT chest findings of COVID-19, 17% had negative HRCT chest findings; while 40.4% had positive and 59.6% had negative first PCR. Among the repeat second PCR, 19.6% had negative, 1.8% had positive PCR results; while 78.6% patients didn't undergo repeat PCR. The sensitivity, specificity, NPV, PPV and accuracy of HRCT chest was 92%, 23%, 81%, 45%, and 51%; while of first RT-PCR was 45%, 81%, 23%, 92% and 51%, respectively. Conclusion The sensitivity of HRCT chest is higher (92%) as compared to first RT-PCR (45%). Key Words: COVID-19, RT-PCR, HRCT chest, Sensitivity, Specificity.