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COVID-19 Diagnostics: A Panoramic View on Its Present Scenario, Challenges and Solutions.

ABSTRACT: The initial strategy to curb the surge of novel coronavirus disease, COVID-19, is prevention and quarantine, which are dependent on early diagnosis. The latest commercial diagnostic methods include AI/ML-based imaging methods and laboratory diagnosis, which differ in their efficiency. The former requires lung imaging and is useful for last stage patients. It was ensured to overcome the limitation of availability of laboratory-based kits, while the latter involves the collection of the suitable sample from an individual (blood sample, nasal or oral swab). Laboratory methods include methods like RT-PCR which is contemporarily contemplated as the benchmark for its quick and efficient SARS-CoV-2 infection detection. Other diagnosis alternatives include Serum Viral Neutralization (SVN) assays involving antigen-antibody reaction with much lower efficiency contrasted to RT-PCR. Apart from these methods, early detection has been key to the treatment of COVID-19, but the lack of sensitive assays to detect low viral titers acts as an impediment. This review presents an overview of detecting COVID-19 with the aid of several diagnostic techniques along with their benefits and limitations.

SUBMITTER: Quraishi M

PROVIDER: S-EPMC9137266 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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COVID-19 Diagnostics: A Panoramic View on Its Present Scenario, Challenges and Solutions.

Quraishi Marzuqa M Upadhyay Shailja Kant SK Nigam Anshul A

Proceedings of the National Academy of Sciences, India. Section B 20220527 4

The initial strategy to curb the surge of novel coronavirus disease, COVID-19, is prevention and quarantine, which are dependent on early diagnosis. The latest commercial diagnostic methods include AI/ML-based imaging methods and laboratory diagnosis, which differ in their efficiency. The former requires lung imaging and is useful for last stage patients. It was ensured to overcome the limitation of availability of laboratory-based kits, while the latter involves the collection of the suitable s ...[more]

PMID: 35669849

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Project description:Air pollutant concentration, air quality index (AQI), and Excess risk (ER%) is assessed during January 2020 to June 2021 and in three scenarios including pre-lockdown, lockdown and post-lockdown based on 47 ground station data (during January 2020 to June 2020) distributed over northern part of India (including Delhi, Haryana, Punjab, part of Uttar Pradesh, and part of Rajasthan) using statistics and geographic information system (GIS) techniques. Daily and monthly variations of air pollutants (During January 2020 to June 2021) over the region showed a systematic pattern with high pollutant level during October and November while low during March, April (in dry period) and July–September (in wet period). In three scenarios viz. pre, during and post-lockdown the average concentration for PM2.5 was 71.1 ± 45 µg/m3, 39 ± 20 µg/m3 and 40 + 17 µg/m3, for PM10 was 139 ± 72 µg/m3, 96 ± 55 µg/m3 and 105 ± 57 µg/m3, for NO2 was 28 ± 21 µg/m3, 17 ± 13 µg/m3 and 18 ± 12 µg/m3, for NH3 was 33 ± 24 µg/m3, 25 ± 18 µg/m3 and 29 ± 22 µg/m3, for CO was 1 ± 0.65 mg/m3, 0.7 ± 0.5 mg/m3, and 0.7 ± 0.5 mg/m3, for O3 was 29 ± 20 µg/m3, 39 ± 23 µg/m3 and 39 ± 22 µg/m3 and for SO2 was 14 ± 11 µg/m3, 14 ± 12 µg/m3 and 12.5 ± 8.9 µg/m3. Significant decrease in mean pollutants concentration, AQI and ER % was observed in lockdown period amid COVID-19. PM2.5, PM10, NO2, NH3 and CO decreased by 46%, 31%, 39%, 24% and 34%, respectively, in lockdown scenario as compared to the pre-lockdown scenario while the O3 get increased. A decrease of 39% in AQI was observed as compared to pre-lockdown scenario; however, the difference was less when compared with post-lockdown scenario. The decrease in total ER% was 60.36% over the study area due to improvement in air quality over the region amid COVID-19 lockdown. The meteorological conditions in 2020 were found consistent with respect to 2019 and very less influence was observed on the concentration of air pollutants (less r2 among the pollutants and meteorological parameters). Supplementary Information The online version contains supplementary material available at 10.1007/s12524-022-01520-z.

Dataset Information

COVID-19 Diagnostics: A Panoramic View on Its Present Scenario, Challenges and Solutions.

Publications

COVID-19 Diagnostics: A Panoramic View on Its Present Scenario, Challenges and Solutions.

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