2) It was even worst in this CDC study :
"Of the people who were aware of long COVID, more than 20% said they at least somewhat agreed with the statements โthose with Long COVID may just be depressedโ and โLong COVID symptoms are often just the normal aches and pains of life.โ
4) This survey reveals limited awareness of long COVID, especially among racial/ethnic minorities and non-English speakers. While awareness did not drive care-seeking, many patients with long COVID symptoms rated their care as suboptimal ...
5) ...highlighting the need for provider education. Targeted public health campaigns are needed to raise awareness and improve care for long COVID.
Thanks ๐
โข โข โข
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2) This study investigates how spike protein mutations in the Delta and Omicron variants of SARS-CoV-2 impact the conformational dynamics and activation of the viral fusion core, compared to the original D614G variant.
3) The authors find that ACE2 binding induces larger swing motions in the receptor-binding domain (RBD) of the Delta variant, which propagate allosteric changes to the S1/S2 junction and fusion machinery in the S2 domain.
Organoids are 3D stem cell-derived structures that closely mimic the architecture and function of human organs, enabling powerful disease modeling ... cell.com/the-innovationโฆ
2) ...drug screening, and regenerative medicine applications.
They revolutionize biomedical research by accurately modeling human physiology and pathology.
3) Widely used in oncology, drug discovery, and regenerative medicine, organoids enable personalized treatment, advanced disease modeling, and high-throughput screening.
2) This study introduces two novel methods, EdgeMST and DegMST, for converting dynamic contact networks into approximate static networks for use in epidemic modeling and forecasting. This is an important problem, as future contact patterns are unknown during an ongoing epidemic.
3) The standard approach of collapsing all temporal edges into a full static graph often leads to overestimation of disease spread, as it fails to capture the sparsity of real-world contact networks. In contrast, EdgeMST and DegMST are designed to preserve the network sparsity ..
2) This study presents the Pedestrian Dynamics - Virus Spread (PeDViS) model, which combines pedestrian movement simulations with a multi-route virus transmission model.
The model explores several important factors that affect virus transmission ...
3) - Contact intensity (duration, distance, time spent in space prior to contact)
- Respiratory activities (breathing, talking, singing) and their impact on virus emission and exposure
- Effectiveness of interventions like ventilation and face masks in reducing exposure
2) The study examined the phenotypic characteristics of four contemporary Omicron variants (XBB.1.5, XBB.1.16, EG.5.1, and JN.1) in terms of pathogenicity, transmissibility, and species susceptibility. The researchers found that ...
3) - Omicron variants showed increased entry efficiency and ACE2 binding capacity compared to ancestral SARS-CoV-2 strains, but reduced reliance on TMPRSS2 for cell entry.
- In human nasal airway epithelial cultures, contemporary Omicron variants replicated faster ...