Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a novel pathogen causing the current worldwide coronavirus disease 2019 (COVID-19) pandemic. Due to insufficient diagnostic testing in the United States, there is a need for clinical decision-making algorithms to guide testing prioritization.
Methods: We recruited participants nationwide for a randomized clinical trial. We categorized participants into 3 groups: (1) those with confirmed SARS-CoV-2 infection, (2) those with probable SARS-CoV-2 infection (pending test or not tested but with a confirmed COVID-19 contact), and (3) those with possible SARS-CoV-2 infection (pending test or not tested and with a contact for whom testing was pending or not performed). We compared the frequency of self-reported symptoms in each group and categorized those reporting symptoms in early infection (0-2 days), midinfection (3-5 days), and late infection (>5 days).
Results: Among 1252 symptomatic persons screened, 316 had confirmed, 393 had probable, and 543 had possible SARS-CoV-2 infection. In early infection, those with confirmed and probable SARS-CoV-2 infection shared similar symptom profiles, with fever most likely in confirmed cases ( = .002). Confirmed cases did not show any statistically significant differences compared with unconfirmed cases in symptom frequency at any time point. The most commonly reported symptoms in those with confirmed infection were cough (82%), fever (67%), fatigue (62%), and headache (60%), with only 52% reporting both fever and cough.
Conclusions: Symptomatic persons with probable SARS-CoV-2 infection present similarly to those with confirmed SARS-CoV-2 infection. There was no pattern of symptom frequency over time.
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http://dx.doi.org/10.1093/ofid/ofaa271 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Protein language models (PLMs) have demonstrated impressive success in modeling proteins. However, general-purpose "foundational" PLMs have limited performance in modeling antibodies due to the latter's hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a transfer learning framework called Antibody Mutagenesis-Augmented Processing (AbMAP), which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
UK Health Security Agency, London, United Kingdom.
Background: Due to advances in treatment, HIV is now a chronic condition with near-normal life expectancy. However, people with HIV continue to have a higher burden of mental and physical health conditions and are impacted by wider socioeconomic issues. Positive Voices is a nationally representative series of surveys of people with HIV in the United Kingdom.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Psychiatry, Yongin Severance Hospital, Yongin, Republic of Korea.
Background: The COVID-19 pandemic has accelerated the digitalization of modern society, extending digital transformation to daily life and psychological evaluation and treatment. However, the development of competencies and literacy in handling digital technology has not kept pace, resulting in a significant disparity among individuals. Existing measurements of digital literacy were developed before widespread information and communications technology device adoption, mainly focusing on one's perceptions of their proficiency and the utility of device operation.
View Article and Find Full Text PDFACS Nano
January 2025
NOVA Medical School|Faculdade de Ciências Médicas, NMS|FCM, Universidade NOVA de Lisboa, Lisbon 1169-056, Portugal.
The "" under this Perspective underline the importance of interdisciplinary collaboration and partnerships across several disciplines, such as medical science and technology, medicine, bioengineering, and computational approaches, in bridging the gap between research, manufacturing, and clinical applications. Effective communication is key to bridging team gaps, enhancing trust, and resolving conflicts, thereby fostering teamwork and individual growth toward shared goals. Drawing from the success of the COVID-19 vaccine development, we advocate the application of similar collaborative models in other complex health areas such as nanomedicine and biomedical engineering.
View Article and Find Full Text PDFPLoS One
January 2025
School of Business, Anyang Normal University, Anyang, China.
The process of regional economic development is marked by a sustained exposure to external disturbances. In today's unpredictable and tumultuous global environment, such disturbances have become increasingly common, underlining the need to advance a region's economic resilience and foster adaptive mechanisms to handle environmental flux. Comparing the typical provinces in eastern, central, western and northeastern regions during the COVID-19 epidemic period, it found that the economic resilience performance of Henan Province, which is a representative of the central region, has the following characteristics.
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