Objective: This study sought to better understand the types of locations that serve as hubs for the transmission of COVID-19.
Methods: Contact tracers interviewed individuals who tested positive for SARS-CoV-2 between November 2020 and March 2021, as well as the people with whom those individuals had contact. We conducted a 2-mode social network analysis of people by the types of places they visited, focusing on the forms of centrality exhibited by place types.
Results: The most exposed locations were grocery stores, commercial stores, restaurants, commercial services, and schools. These types of locations also have the highest "betweenness," meaning that they tend to serve as hubs between other kinds of locations since people would usually visit more than 1 location in a day or when infected. The highest pairs of locations were grocery store/retail store, restaurant/retail store, and restaurant/grocery store. Schools are not at the top but are 3 times in the top 7 pairs of locations and connected to the 3 types of locations in those top pairs.
Conclusions: As the pandemic progressed, location hotspots shifted between businesses, schools, and homes. In this social network analysis, certain types of locations appeared to be potential hubs of transmission.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1017/dmp.2023.189 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Coordinated neuron-glia regeneration through Notch signaling in planarians.
PLoS Genet
January 2025
Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Some animals can regenerate large missing regions of their nervous system, requiring mechanisms to restore the pattern, numbers, and wiring of diverse neuron classes. Because injuries are unpredictable, regeneration must be accomplished from an unlimited number of starting points. Coordinated regeneration of neuron-glia architecture is thus a major challenge and remains poorly understood.
View Article and Find Full Text PDFCharacterization changes and research waste in randomized controlled trials of global gastroesophageal reflux disease and hiatus hernia over the past 20 years.
Int J Surg
January 2025
Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Background: The results of many large randomized clinical trials (RCTs) have transformed clinical practice in gastroesophageal reflux disease (GERD) and esophageal hiatal hernia (HH). However, research waste (i.e.
View Article and Find Full Text PDFCompetition between Halogen Atom and Ring of Halobenzenes as Hydrogen Bond Electron Donor Sites.
Chemphyschem
January 2025
Utah State University, Department of Chemistry and Biochemistry, 0300 Old Main Hill, 84322-0300, Logan, UNITED STATES OF AMERICA.
A halobenzene molecule contains several sites that are capable of acting in an electron-donating capacity within a H-bond. One set of such sites comprise the lone electron pairs of the halogen (X) atoms on the periphery of the ring. The π-electron system above the ring plane can also fulfill this function in many cases.
View Article and Find Full Text PDFHIV service use among minoritized racial and ethnic transgender and gender non-conforming youth in the U.S South: a qualitative investigation.
AIDS Care
January 2025
Westat, Rockville, MD, USA.
Transgender youth are disproportionately affected by HIV, particularly minoritized youth in the US south. To understand HIV service use among transgender youth, we interviewed 25 young racial and ethnic minority clients of four southern community-based HIV service organizations (CBOs), and CBO staff ( = 12), about service access and use. Participants were assigned male at birth and identified as female ( = 8), transgender ( = 11) or gender-fluid or nonbinary ( = 6).
View Article and Find Full Text PDFSingle-omics approaches often provide a limited view of complex biological systems, whereas multiomics integration offers a more comprehensive understanding by combining diverse data views. However, integrating heterogeneous data types and interpreting the intricate relationships between biological features-both within and across different data views-remains a bottleneck. To address these challenges, we introduce COSIME (Cooperative Multi-view Integration and Scalable Interpretable Model Explainer).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!