Introduction: Coronavirus Disease-2019 (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is ravaging the globe due to its rapid spread. Since providing fast results is of critical importance in a time of shortage of medical personnel and beds in isolation wards and to ensure timely treatment for patients, developing high quality rapid Point of Care (POC) diagnostics is essential. Aim: To compare the diagnostic performance of chip based real time Reverse Trancriptase Polymerase Chain Reaction (RT- PCR) (TrueNat) which has a shorter turnaround time compared to conventional real time RT-PCR in samples of suspected COVID-19 patients. Materials and Methods: The present cross-sectional observational study was carried out in a tertiary care hospital in New Delhi, India. Five hundred randomly selected Oropharyngeal (OP) swabs samples received from May-July 2020, were included in the study to compare the diagnostic performance of chip based real time RT- PCR (TrueNat) with conventional real time RT-PCR for diagnosis of SARS-CoV-2 infection. All statistical analysis was performed using STATA version 16.1 software (College station, Texas, USA). Results: The sensitivity of TrueNat test was 100% while the specificity was found to be 99.12% at 95% confidence intervals. The positive predictive value was 91.84% and the negative predictive value was 100%. Conclusion: The short turnaround time, good sensitivity and specificity makes TrueNat a reliable and affordable option to provide rapid results in cases requiring urgent interventions and to augment SARS-CoV-2 testing capacity at peripheral settings where sample load is less.
The Earth's land use, land cover, land forms, spatial and geographical characteristics are crucial variables in global change. The impact of human activities on the earth has resulted greatly to climate change calls for a comparative study and mapping of the land in order to assess the condition of the land in the past comparing with the current state of the land in order to regulate the anthropogenic factors for sustainable development. Remote Sensing and Geographic Information Services allow the engineer to continuously monitor any change any intended plans to secure their success or rectification to meet the requirements. GIS technology has a major impact on the safety and quality of our daily lives. City planners and businesses use GIS applications to combine physical mapping information with demographic data such as population, street layout and local resources. As users push the boundaries of GIS applications, datasets are growing increasingly complex, often involving many gigabytes of interactive maps showing vectors, surface layers and images. As the amount of data and the complexity of the processing rise, the demand for processing power in GIS applications is increasing. The processing speed is a critical aspect to enable a productive interaction between the human operator and the machine in order to achieve ever more complex tasks satisfactorily. Graphic processing units (GPU) are good candidates to speed up some tasks. With the recent developments, programming these devices became very simple. In this paper, we introduce the method how complexity of RS and GIS can be reduced by implementing parallel architecture of GPU.
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