2021
DOI: 10.1016/j.talanta.2020.121986
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Emerging biosensing technologies for improved diagnostics of COVID-19 and future pandemics

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Cited by 53 publications
(44 citation statements)
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“…As public health concerns shift over time, the applications for biomarker detection follow suit. Beginning in early 2020, the SARS-CoV-2 pandemic led to the rapid development of diagnostic tests [ 47 ], resulting in new technologies that can now be adapted for other diseases. However, none of the works discussed in this review addresses SARS-CoV-2.…”
Section: Trends In Biomarker Detectionmentioning
confidence: 99%
“…As public health concerns shift over time, the applications for biomarker detection follow suit. Beginning in early 2020, the SARS-CoV-2 pandemic led to the rapid development of diagnostic tests [ 47 ], resulting in new technologies that can now be adapted for other diseases. However, none of the works discussed in this review addresses SARS-CoV-2.…”
Section: Trends In Biomarker Detectionmentioning
confidence: 99%
“…This comprehensive review article focuses on the most recent advances in POC diagnostic devices for potential diagnosis of COVID-19 that meet ASSURED criteria, which is distinct from previous review papers where nanomaterial-based biosensors [30][31][32][33] and non-POC diagnostic techniques [34][35][36][37][38][39][40][41][42][43][44] were summarized. In addition, the commercial POC biosensors have not been critically reviewed [45][46][47][48].…”
Section: Introductionmentioning
confidence: 99%
“…Throughout the epidemic in Qatar, we implemented a sequencing strategy to detect, monitor, and evaluate the spread of the virus, including the VOC. Such sequencing efforts were crucial towards understanding the epidemiological and clinical significance of variants, especially when it comes to estimating reinfection rates and vaccine effectiveness [12][13][14][15][16]. Here we report on the clusters of SARS-CoV-2 infection reported in Qatar for the past year, intending to understand the origin, evolution, transmission patterns of the virus.…”
Section: Introductionmentioning
confidence: 99%