Urban resilience under the COVID-19 pandemic: A quantitative assessment framework based on system dynamics.

The COVID-19 pandemic, which lasted for three years, has had a great impact on the public health system, society and economy of cities, revealing the insufficiency of urban resilience under large-scale public health events (PHEs). Given that a city is a networked and multidimensional system with complex interactions, it is helpful to improve urban resilience under PHEs based on system thinking. Therefore, this paper proposes a dynamic and systematic urban resilience framework that incorporates four subsystems (governance, infrastructures, socioeconomy and energy-material flows). The composite index, system dynamics and epidemic simulation model are integrated into the framework to show the nonlinear relationships in the urban system and reflect the changing trend of urban resilience under PHEs. Then, urban resilience under different epidemic scenarios and response policy scenarios is calculated and discussed to provide some suggestions for decision-makers when faced with the trade-off between the control of PHEs and the maintenance of city operation. The paper concludes that control policies could be adjusted according to the characteristics of PHEs; strict control policies under a severe epidemic could lead to a significant decrease in urban resilience, while a more flexible control strategy can be adopted under a mild epidemic scenario to ensure the normal operation of urban functions. Moreover, the critical functions and impact factors of each subsystem are identified.

Why Omicron Variant of SARS-CoV-2 is Less Fatal?

The article published by Nie et al. addressed one of the two key questions regarding the Omicron variant of SARS-CoV-2, while the underpinning for the less deadly nature of the variant remains unexplained. The proteins of the Omicron variant have numerous mutations, notably several substitutions of other amino acids by lysine residues. Glycine and valine attract calcium and enhance the formation of stressful, insoluble, and stiff calcium oxalate. Lysine residues in proteins build up chloride via ionic bonds which solubilizes insoluble and rigid divalent salts. The aforementioned mutations have weakened the lethalness of the Omicron variant perhaps via a biochemical mechanism. Despite net gain in favorable mutations versus deleterious mutations, the overall valine plus glycine content is still high in the proteins of Omicron variant of SARS-CoV-2, which remains a public health concern.

Aptamer/antibody sandwich method for digital detection of SARS-CoV2 nucleocapsid protein.

Nucleocapsid protein (N protein) is the most abundant protein in SARS-CoV2 and is highly conserved, and there are no homologous proteins in the human body, making it an ideal biomarker for the early diagnosis of SARS-CoV2. However, early detection of clinical specimens for SARS-CoV2 remains a challenge due to false-negative results with viral RNA and host antibodies based testing. In this manuscript, a microfluidic chip with femtoliter-sized wells was fabricated for the sensitive digital detection of N protein. Briefly, ß-galactosidase (ß-Gal)-linked antibody/N protein/aptamer immunocomplexes were formed on magnetic beads (MBs). Afterwards, the MBs and ß-Gal substrate fluorescein-di-ß-d-galactopyranoside (FDG) were injected into the chip together. Each well of the chip would only hold one MB as confined by the diameter of the wells. The MBs in the wells were sealed by fluorocarbon oil, which confines the fluorescent (FL) product generated from the reaction between ß-Gal and FDG in the individual femtoliter-sized well and creates a locally high concentration of the FL product. The FL images of the wells were acquired using a conventional inverted FL microscope. The number of FL wells with MBs (FL wells number) and the number of wells with MBs (MBs wells number) were counted, respectively. The percentage of FL wells was calculated by dividing (FL wells number) by (MBs wells number). The higher the percentage of FL wells, the higher the N protein concentration. The detection limit of this digital method for N protein was 33.28 pg/mL, which was 300 times lower than traditional double-antibody sandwich based enzyme-linked immunosorbent assay (ELISA).