Recent uci_publichealth items

Reducing Supply Chain Dependencies for Viral Genomic Surveillance: Get by with a Little HELP from Commercial Enzymes already in your Lab Freezer.

Thu, 4 Jun 2026 00:00:00 +0000

Background

The COVID-19 pandemic exposed critical vulnerabilities in global laboratory supply chains, disrupting the availability of key reagents and jeopardising the continuity of genomic surveillance essential for epidemic response. Sustaining sequencing capacity during supply shortages requires practical, locally accessible alternatives to commercial kits.

Methods

We developed ARTIC HELP (Homebrew Enzymes for Library Preparation), an open-source adaptation of the ARTIC nanopore sequencing protocol for viral genomic surveillance. We described cost-effective, generic replacements for all enzyme mixes used in tiling multiplex RT-PCR and the nanopore native barcoding workflow, including end-prep (EP), barcode ligation (BL), and adapter ligation (AL). Through systematic evaluation, we tested wild-type M-MLV reverse transcriptase and two types of proofreading DNA polymerases, (i) B-family Pfu-based polymerases fused to an Sso7d DNA-binding domain, and (ii) blends of...

Addition of pulsed electric field ablation to SBRT for lung tumors: effect on health-related quality of life

Wed, 3 Jun 2026 00:00:00 +0000

INTRODUCTION: Treatment indications for oligometastatic/oligoprogressive lung tumors are growing. Safety and lack of detrimental effect on patients' quality of life are critical for novel local therapies. METHODS: We tested that the additive effect of pulsed electric field (PEF) ablation with lower-dose stereotactic body radiation therapy (SBRT) on health-related quality of life (HRQoL) as a secondary endpoint in a prospective clinical trial. FACT-Lung Cancer Subscale (FACT-LCS) and FACT-General domain surveys were collected at screening, 3 months, and 12 months. Functional clinical data included forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and diffusing capacity of the lung for carbon monoxide (DLCO). RESULTS: Six patients with eight tumors were enrolled. Baseline well-being domain scores were: Physical 25.9 (Std Dev 2.3), Social 21.0 (Std Dev 6.9), Emotional 17.3 (Std Dev 4.7), Functional 21.2 (Std Dev 5.8), and LCS 19.4 (Std Dev 5.3). There were...

Assessing the Impact of Sharrows on Bicyclist Behavior

Thu, 21 May 2026 00:00:00 +0000

Bicycle infrastructure preferences vary by user experience and comfort, but evidence suggests both cyclists and drivers perceive separated bike lanes as safer than shared lane markings (sharrows). Little is known about sharrows impact in real-world settings, as no observational studies have evaluated their before and after installation impact. Santa Ana, California, incorporated sharrows into its active transportation plan to increase and encourage safe riding in a downtown commercial corridor where separated bike lanes were not feasible. Researchers conducted a natural experiment using a pre-post study design, collecting baseline data in 2015 before installation, and follow-up data in 2016 and 2017. A total of 54 hours of direct bicycle observation was conducted across two target areas over three years (2015 – 2017). A modest increase in bicycling was observed from 2015 to 2016, but was not sustained into 2017. Sidewalk and wrong-way riding increased slightly over time, while...

Unraveling the Self: A Scoping Review of Moral Injury and Professional Nursing Identity

Wed, 13 May 2026 00:00:00 +0000

Moral injury increasingly describes the distress nurses experience when systemic constraints prevent them from practicing in alignment with their professional values. Moral injury has been theoretically presented as an injury to one’s identity. Professional identity in nursing is “a sense of oneself in relationship to others” which results in an individual “thinking, acting, and feeling like a nurse.” This scoping literature review explores contemporary understandings of nursing professional or moral identity and the association between moral injury and identity among nurses in the United States.

Peer influence decay and behavioral diffusion in adolescent networks: A simulation approach.

Fri, 8 May 2026 00:00:00 +0000

How far does peer influence spread through social networks before dissipating? This study investigates the diffusion of smoking behavior in adolescent friendship networks using longitudinal data from two schools (n = 3154 students) in the National Longitudinal Study of Adolescent to Adult Health. Using Stochastic Actor-Oriented Models, we simulate interventions targeting heavy smokers using various strategies (random, in-degree, eigenvector centrality) and coverage (10 to 100%). A new exponential decay model quantifies influence attenuation, revealing indirect peer influences, or spillover effects, up to three steps from targets. Targeting 10 to 30% of central individuals maximizes smoking reductions, but gains plateau beyond 40 to 50% owing to network saturation. In our analyses, the denser network exhibits broader diffusion and slower decay than the larger, sparser network. This decay metric optimizes intervention design across diverse network structures.

Reducing Supply Chain Dependencies for Viral Genomic Surveillance: Get by with a Little HELP from Commercial Enzymes already in your Lab Freezer

Tue, 28 Apr 2026 00:00:00 +0000

Background The COVID-19 pandemic exposed critical vulnerabilities in global laboratory supply chains, disrupting the availability of key reagents and jeopardising the continuity of genomic surveillance for epidemic response. Sustaining sequencing capacity during shortages requires locally accessible alternatives to commercial kits. Methods We developed ARTIC HELP (Homebrew Enzymes for Library Preparation), an open-source adaptation of the ARTIC nanopore sequencing protocol for viral genomic surveillance. We described cost-effective, generic replacements for enzyme mixes used in tiling multiplex RT-PCR and the nanopore native barcoding workflow, including end-prep (EP), barcode ligation (BL), and adapter ligation (AL). Through systematic evaluation, we tested wild-type M-MLV reverse transcriptase and two types of proofreading DNA polymerases, (i) B-family Pfu-based polymerases fused to an Sso7d DNA-binding domain, and (ii) blends of A-family (Taq-based) and B-family (Pfu-based)...

Molecular epidemiology of Plasmodium falciparum drug resistance and vaccine targets in high-transmission settings in Africa

Tue, 28 Apr 2026 00:00:00 +0000

The spread of antimalarial drug resistance and the potential emergence of vaccine-escape variants in Plasmodium falciparum threaten progress toward malaria elimination in sub-Saharan Africa. Here, we applied a scalable, Oxford Nanopore-based amplicon sequencing platform to profile five resistance genes (crt, dhfr, dhps, mdr1, k13) and the vaccine target csp in clinical isolates from northern Nigeria. We identified high frequencies of dhfr-IRNI (90%) and dhps-SGKAA (45%) haplotypes, consistent with molecular markers of sulfadoxine-pyrimethamine (SP) resistance. However, no dhfr/dhps quintuple or sextuple mutation combinations associated with SP-IPTp failure were detected, supporting its continued preventive use in pregnancy. The chloroquine-resistant Pfcrt-76T allele persisted at ~ 25% frequency, suggesting both sustained resistant lineages and a potential re-expansion of chloroquine-susceptible parasites. No WHO-validated Pfk13 mutations linked to artemisinin partial resistance...

Application of FreezeTB, a targeted nanopore sequencing assay, for identification of drug resistance and lineages among pulmonary tuberculosis cases in Alaska

Tue, 28 Apr 2026 00:00:00 +0000

Alaska has the highest incidence of tuberculosis (TB) in the United States, with 8% mortality while undergoing TB treatment. With a quarter of TB cases lacking sputum culture to enable drug resistance testing, FreezeTB aimed to develop tools tailored to meet the challenges in Alaska while being translatable to other settings. We designed a rapid and cost-effective laboratory workflow and software to identify drug-resistant mutations in Mycobacterium tuberculosis using targeted next-generation sequencing (tNGS). FreezeTB, a Fast, Reliable, Economical Evaluation tool to Zap Endemic Tuberculosis, amplifies 22 gene loci associated with resistance to 16 anti-tuberculosis drugs. M. tuberculosis isolates from Alaska (2011-2024) were blinded and underwent analysis with FreezeTB, then compared with phenotypic drug susceptibility testing (pDST) and whole genome sequencing (WGS). Compared with WGS (n = 79), FreezeTB provided the same mutations in 96% (n = 76/79)...

Genomic diversity of SARS-CoV-2 carriage in a cohort of schoolchildren in Côte d’ivoire during COVID-19 pandemics: insights from pre-delta emergence

Tue, 28 Apr 2026 00:00:00 +0000

BackgroundAfter the first case of COVID-19 was reported in Côte d’Ivoire in March 2020, the virus spread significantly, with several epidemic waves. During a carriage study conducted from November 2020 to April 2021 to examine the oropharyngeal microbiome of school children, the presence of several other pathogens was investigated. This study characterised the diversity of SARS-CoV-2 detected in a cohort of school children in Côte d’Ivoire.MethodsOropharyngeal swabs from participants in Korhogo (n = 37) and Abidjan (n = 39) were analysed. RNA was extracted from the samples, followed by RT-qPCR detection of Coronaviruses. Sequencing was done on an Oxford Nanopore platform and data analysed in GISAID.ResultsOut of 445 samples collected, 15 (3.37%; 5 in Abidjan and 10 in Korhogo) tested positive for SARS-CoV-2 and were sequenced. Genomic coverage of over 70% was obtained for 12 genome sequences (80%). There was a significant difference in SARS-CoV-2 carriage over season per sampling...

Alzheimers disease and related dementias and related health conditions among American Indian and Alaska Native Medicare beneficiaries.

Mon, 27 Apr 2026 00:00:00 +0000

Introduction

Alzheimers disease and related dementias (ADRD) and its associated factors are not well understood in the American Indian and Alaska Native (AI/AN) population.

Methods

We analyzed Medicare 2019 data for 112,280 AI/AN and 1,010,862 White beneficiaries aged 68+, examining the prevalence of ADRD-related health conditions and their associations with ADRD through logistic regressions.

Results

AI/AN beneficiaries had higher age-adjusted ADRD prevalence (15.6% vs. 13.3%), and a higher prevalence of 5 of 9 Lancet risk factors: diabetes, alcohol use disorder (AUD), tobacco use disorder, visual and hearing impairments. Traumatic brain injury (TBI), AUD, and visual and hearing impairments had stronger associations with ADRD among AI/AN beneficiaries, while depression, diabetes, and hypertension had stronger associations among White beneficiaries.

Discussion

Our findings highlight disparities in ADRD and related health conditions between AI/AN...

Abstract 5031: Integrating real-world wearable data into breast cancer risk assessment: Evidence from the All of Us Research Program

Thu, 23 Apr 2026 00:00:00 +0000

Abstract Lifestyle and genetic factors are known contributors to breast cancer risk, yet their integration with clinical data into breast cancer risk assessment remains limited. Traditional, self-reported lifestyle measures are subject to recall bias, whereas wearable devices provide objective, continuous measurements of physical activity and sleep behaviors. Using data from the National Institutes of Health All of Us Research Program (n=633,540 participants), we conducted a retrospective matched case-control study to evaluate the association between objectively captured wearable data and breast cancer risk, and to establish a scalable analytical framework for causal and machine learning modeling. Females diagnosed with breast cancer at age ≥50 years with at least five valid weeks of Fitbit data (two or more days per week) within the five years preceding diagnosis (n=154) were each matched to up to 20 cancer-free controls by date of birth (±1 year) and availability of wearable...

Circulating Asprosin Concentrations and Body Weight Changes in Postmenopausal Women: Findings from the Women’s Health Initiative

Thu, 23 Apr 2026 00:00:00 +0000

BACKGROUND: Weight changes after menopause contribute to cardiometabolic risk, yet hormonal determinants of long-term weight trajectories remain incompletely understood. Asprosin, a fasting-induced adipokine involved in hepatic gluconeogenesis and appetite regulation, has been associated with metabolic disease, although its prospective role in affecting weight change remains unknown. OBJECTIVES: This study aimed to examine whether plasma asprosin concentrations are directly and prospectively associated with changes in body weight and body composition among postmenopausal women. METHODS: In a case-control study of 4020 postmenopausal women (1987 newly developed/incident diabetes cases and 2033 matched controls) nested within the Women's Health Initiative, we prospectively evaluated participants' baseline plasma concentrations of asprosin in relation to 3-y changes in weight, measures of central obesity, and the risk of major weight gain or loss (≥7% of baseline weight). Associations...

Social Network Typology and Cognitive Status Among African Americans: Findings From the Health and Retirement Study

Wed, 22 Apr 2026 00:00:00 +0000

Social Network Typology and Cognitive Status Among African Americans: Findings From the Health and Retirement Study

Challenges and responses of malaria elimination in a high-endemic area along the Thai-Myanmar border: A health systems perspective.

Thu, 16 Apr 2026 00:00:00 +0000

Despite Thailands progress under the 1-3-7 malaria elimination framework, border districts such as Tha Song Yang in Tak Province continue to experience persistent transmission due to high population mobility, geographic constraints, and health system challenges. Understanding how local health systems respond to these pressures is critical for sustaining malaria elimination in complex border settings. This mixed-methods study applied the World Health Organizations Six Building Blocks framework to examine challenges and responses in malaria elimination in Tha Song Yang District. Qualitative data were collected through in-depth interviews with 24 key informants from district health offices, vector-borne disease units, malaria posts and clinics, hospitals, and local authorities. Quantitative data included household surveys assessing malaria-related knowledge, attitudes, and practices (n = 388), and secondary surveillance data on adherence to the 1-3-7 strategy from 2018 to 2022. Adherence...

Race, Obesity, and Mental Health Among Older Adults in the United States: A Literature Review.

Thu, 9 Apr 2026 00:00:00 +0000

Rising rates of obesity among older adults in the United States are a serious public health concern. While the physical health consequences of obesity are well documented, the mental health consequences are less understood. This is especially the case among older adults in general and among racial and ethnic minority older adults in particular. Available studies document a link between obesity and a variety of mental health disorders. However, findings from this body of evidence are inconsistent, especially when race and ethnicity are considered. This article examines research on obesity and mental health among older adults and identifies risk factors, causal mechanisms, and methodological approaches that help clarify the equivocal nature of the literature. Promising research and future directions include studies that consider a wide array of contextual factors and population heterogeneity.

Food pantry organizational features, nutrition environments, and partnerships: a community-engaged study in Southern California

Sun, 29 Mar 2026 00:00:00 +0000

BackgroundCharitable food organizations are critical community hubs for promoting food security and nutrition. Few studies have examined whether food pantry organizational features (e.g., setting and size) are associated with the use of health promotion strategies.MethodsThis cross-sectional study used a validated survey instrument (Nutrition Environment Food Pantry Assessment Tool+, NEFPAT+) in partnership with a southern California regional food bank to examine pantry consumer nutrition environments, including client choice models, marketing, and partnership/referral practices. Eligible pantries were: food bank partners, open at least 1/week for public distribution, and in high-poverty cities. We collected surveys from 27 of 35 eligible sites in 2024. We used descriptive statistics to summarize NEFPAT+ objective outcomes and conducted exploratory analyses to assess differences for specific objective results. Mann‒Whitney U tests and Kruskal‒Wallis tests were used to compare...

Electric vehicle adoption, gentrification, and housing prices: a longitudinal study in California

Thu, 26 Mar 2026 00:00:00 +0000

Increasing adoption of zero-emission vehicles (ZEVs) has raised concerns about potential disparities, including increased gentrification in low-income communities. As a first step in unraveling this rarely studied relationship, we examined the association between ZEV adoption and measures of gentrification. We addressed two questions: (1) How do ZEV adoption trends vary by neighborhood-level gentrification and disadvantage in California metropolitan areas? and (2) Among neighborhoods that are not already gentrified, is prior ZEV adoption associated with subsequent changes in housing prices? We obtained census tract-level data on longitudinal counts of battery electric vehicle (BEV) and plug-in hybrid electric vehicle (PHEV) registrations, median home value and monthly rent, disadvantaged communities (DACs) designations, and gentrification status (‘none/early,’ ‘advanced/stable,’ or ‘exclusive’). Linear mixed models estimated BEV (or PHEV) adoption trajectories (2015–2023) across...

Quantifying mean, variability, and uncertainty in indoor radon exposure in Pennsylvania using random forest and quantile regression forest models

Wed, 25 Mar 2026 00:00:00 +0000

Radon is a naturally occurring radioactive gas that poses a serious health risk as the primary cause of lung cancer in non-smokers. Despite the well-known adverse association with health outcomes, current radon exposure assessments are limited to county-level or average-level estimates, which fail to capture regional variability. This study uses Machine Learning models, including Random Forest (RF) and Quantile Regression Forest (QRF), to estimate the indoor radon concentrations at the ZCTA (Zip code tabulation area)-level and characterize uncertainties in model estimates. Incorporating geological, meteorological, and building-specific data, the models aim to improve radon risk assessment by capturing mean exposure, variability, and extreme concentration levels. Processed radon test data (n = 718,111) were analyzed using average, variability, and quantile prediction methods. Models that estimate the average radon exposure at the ZCTA-level can yield promising model-fit results,...

Evaluating county-level lung cancer incidence from environmental radiation exposure, PM2.5, and other exposures with regression and machine learning models

Wed, 25 Mar 2026 00:00:00 +0000

Characterizing the interplay between exposures shaping the human exposome is vital for uncovering the etiology of complex diseases. For example, cancer risk is modified by a range of multifactorial external environmental exposures. Environmental, socioeconomic, and lifestyle factors all shape lung cancer risk. However, epidemiological studies of radon aimed at identifying populations at high risk for lung cancer often fail to consider multiple exposures simultaneously. For example, moderating factors, such as PM2.5, may affect the transport of radon progeny to lung tissue. This ecological analysis leveraged a population-level dataset from the National Cancer Institute’s Surveillance, Epidemiology, and End-Results data (2013–17) to simultaneously investigate the effect of multiple sources of low-dose radiation (gross γ$$\gamma$$ activity and indoor radon) and PM2.5 on lung cancer incidence rates in the USA. County-level factors (environmental, sociodemographic, lifestyle)...

When AI Writes Back: Ethical Considerations by Physicians on AI-Drafted Patient Message Replies.