Throughout COVID-19, health officials have relied on data visualizations to communicate urgent messages about the spread of the virus and preventative measures. Relatively few efforts have employed participatory engagement with communities who have experienced a disproportionate burden of COVID-19 illness to shape these communications. Sociologist W.E.B. Du Bois viewed data visualization as an approach to . This paper describes a community-engaged approach to data literacy skill-building with bilingual Latina learners in an adult English program in Northern California, Bay Area. The curriculum combines data visualization activities with language instruction and preventive health themes. Early work on COVID-19 in 2020-21 emphasized improving health knowledge and message interpretation but later shifted to a critical data literacy perspective, focusing on myth-busting, improving risk messaging in their own social networks, and supporting learners to see the power of their own experiences in data story-telling processes. This pedagogical approach, guided by Charles Brigg's idea of priorities, locates adult learners' data visualization work as part of a broader effort to be included in the perspectives that shape knowledge production in today's healthcare system. This approach can be used to examine disparities in information access in linguistically minoritized communities and guide future education interventions.
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http://dx.doi.org/10.3390/ijerph20010696 | DOI Listing |
Am J Trop Med Hyg
January 2025
Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
The phylogeographic inference approach aims to connect genomic data with epidemiology to understand the spread and evolution of pathogens using visualization of spatiotemporal reconstructions. Orthohantavirus hantanense (HTNV), the causative agent of hemorrhagic fever with renal syndrome (HFRS), represents a significant global public health concern. Here, we introduce a localized Nextstrain platform for HTNV, offering a comprehensive resource for facilitating spatiotemporal genomic surveillance and the study of evolutionary dynamics of viral genomes.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Geneis (Beijing) Co. Ltd., Beijing 100102, China.
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.
View Article and Find Full Text PDFDatabase (Oxford)
January 2025
College of Big Data, Yunnan Agricultural University, 452 Fengyuan Road, Panlong District, Kunming, Yunnan 650201, China.
Lanping black-boned (LPBB) sheep are a unique and rare ruminant species, characterized by black pigmentation in the skin and internal organs. Thus far, LPBB are the only known animal with heritable melanin characteristics besides the black-boned chicken, and the only mammal known to contain a large amount of melanin in the body. LPBB have therefore attracted substantial research attention, due to their potential contribution to medicine.
View Article and Find Full Text PDFFront Immunol
January 2025
First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Background: Recently there has been an increasing number of studies have explored apoptosis mechanisms in lung cancer (LC). However, no researchers have conducted a bibliometric analysis of the most cited articles in this field.
Objective: To examine the top 100 most influential and cited publications on apoptosis in non-small cell lung cancer (NSCLC) from 2004 to 2023, summarizing research trends and key focus areas.
Hum Vaccin Immunother
December 2025
Department of Thyroid and Breast Surgery, Jining NO. 1 People' Hospital, Jining, China.
This bibliometric and visualization study provides a comprehensive analysis of global research hotspots and trends in DNA vaccine research from 2014 to 2024. By employing data sourced from the Web of Science Core Collection, we identified a total of 3,600 articles. Our analysis reveals a declining trend in annual publications.
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