Individual Level Digital Determinants of Health and Technology Acceptance of Patient Portals: A Cross-Sectional Assessment.

BACKGROUND: Digital determinants of health (DDoH), including access to technological tools, digital health literacy, and internet access, function independently as barriers to health. Assessment for DDoH is not routine within most healthcare systems, although addressing DDoH could help mitigate differential health outcomes and the digital divide. OBJECTIVE: To assess the role of individual-level factors of DDoH on patient enrollment in and use of the patient portal. METHODS: A multi-modal, cross-sectional survey was developed and deployed to 11,424 individuals based on preferred mode and language documented within the Electronic Medical Record. Based on the Technology Acceptance Model, enrollment in the patient portal and intent to use the patient portal were the outcomes of interest. Perceived usefulness and ease of use were assessed to determine construct validity, and exploratory investigations included individual-level DDoH, including internet and device access, availability of technological support, medical complexity and symptom burden, individual relationship with the healthcare system, and digital health literacy. Counts (n) and proportions (%) were used to describe response categories and unadjusted and adjusted odds ratios are reported. RESULTS: This study included 1,850 respondents (11,424 invited; 16.2% response rate) who were majority female (58.3%), White (77.2%), and an average age of 63 years. In validation of the Technology Acceptance Model, measures of perceived ease of use (i.e., using the patient portal will require a lot of mental effort, patient portal will be very easy to use) and perceived usefulness (i.e., usefulness of the patient portal to send and receive messages with providers, schedule appointments, refill medications) were positively associated with both enrollment in and intent to use the patient portal. Within adjusted models, perceived ease of use and perceived usefulness constructs in addition to constructs of digital health literacy, knowing what health resources are available on the internet (aOR=3.5, 95% CI 1.8-6.6), portal ease of use (aOR=2.8, 95% CI 1.6, 5.0), and portal usefulness (aOR=2.4, 95% CI 1.4, 4.2) were significantly associated with patient portal enrollment. Other factors associated with patient portal enrollment and intent to use included being comfortable reading and speaking English, reported use of the internet to surf the web or to send / receive emails, home internet access, and access to technology devices (computer, tablet, smartphone, etc.). CONCLUSIONS: Assessing for and addressing individual-level DDoH, including digital health literacy, access to digital tools and technologies, and support of the relational aspects between patients, social support systems, and healthcare providers could help mitigate and reduce disparities in health. By focusing efforts to assess for and address individual-level DDoH, we have an opportunity to improve digitally driven healthcare delivery outcomes like access and experience, and structural outcomes like bias built within algorithms created with incomplete representation across communities.

An automated computational data pipeline to rapidly acquire, score, and rank toxicological data for ecological hazard assessment.

Biological Evaluations support Endangered Species Act (ESA) consultation with the US Fish and Wildlife Service and National Marine Fisheries Service by federal action agencies, such as the USEPA, regarding impacts of federal activities on threatened or endangered species. However, they are often time-consuming and challenging to conduct. The identification of pollutant benchmarks or guidance to protect taxa for states and tribes when USEPA has not yet developed criteria recommendations is also of importance to ensure a streamlined approach to Clean Water Act program implementation. Due to substantial workloads, tight regulatory timelines, and the often-protracted length of ESA consultations, there is a need to streamline the development of biological evaluation toxicity assessments for determining the impact of chemical pollutants on ESA-listed species. Moreover, there is limited availability of species-specific toxicity data for many contaminants, further complicating the consultation process. New approach methodologies are being increasingly used in toxicology and chemical safety assessment to rapidly and cost-effectively provide data that can fill gaps in hazard and/or exposure characterization. Here, we present the development of an automated computational pipeline-RASRTox (Rapidly Acquire, Score, and Rank Toxicological data)-to rapidly extract and categorize ecological toxicity benchmark values from curated data sources (ECOTOX, ToxCast) and well-established quantitative structure-activity relationships (TEST, ECOSAR). As a proof of concept, points-of-departure (PODs) generated in RASRTox for 13 chemicals were compared against benchmark values derived using traditional methods-toxicity reference values (TRVs) and water quality criteria (WQC). The RASRTox PODs were generally within an order of magnitude of corresponding TRVs, though less concordant compared with WQC. The greatest utility of RASRTox, however, lies in its ability to quickly and systematically identify critical studies that may serve as a basis for screening value derivation by toxicologists as part of an ecological hazard assessment. As such, the strategy described in this case study can potentially be adapted for other risk assessment contexts and stakeholder needs. Integr Environ Assess Manag 2024;00:1-15. © 2024 Society of Environmental Toxicology & Chemistry (SETAC). This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Comparative safety, pharmacokinetics, and off-target assessment of 1,1-bis(3'-indolyl)-1-(p-chlorophenyl) methane in mouse and dog: implications for therapeutic development.

The modified phytochemical derivative, 1,1-bis(3'-indolyl)-1-(p-chlorophenyl) methane (C-DIM12), has been identified as a potential therapeutic platform based on its capacity to improve disease outcomes in models of neurodegeneration and cancer. However, comprehensive safety studies investigating pathology and off-target binding have not been conducted. To address this, we administered C-DIM12 orogastrically to outbred male CD-1 mice for 7 days (50 mg/kg/day, 200 mg/kg/day, and 300 mg/kg/day) and investigated changes in hematology, clinical chemistry, and whole-body tissue pathology. We also delivered a single dose of C-DIM12 (1 mg/kg, 5 mg/kg, 25 mg/kg, 100 mg/kg, 300 mg/kg, 1,000 mg/kg) orogastrically to male and female beagle dogs and investigated hematology and clinical chemistry, as well as plasma pharmacokinetics over 48-h. Consecutive in-vitro off-target binding through inhibition was performed with 10 µM C-DIM12 against 68 targets in tandem with predictive off-target structural binding capacity. These data show that the highest dose C-DIM12 administered in each species caused modest liver pathology in mouse and dog, whereas lower doses were unremarkable. Off-target screening and predictive modeling of C-DIM12 show inhibition of serine/threonine kinases, calcium signaling, G-protein coupled receptors, extracellular matrix degradation, and vascular and transcriptional regulation pathways. Collectively, these data demonstrate that low doses of C-DIM12 do not induce pathology and are capable of modulating targets relevant to neurodegeneration and cancer.

Histological assessment of microtia cartilage, a potential source of autograft tissue in ear reconstruction.

Cartilage is a strong and flexible connective tissue that has many forms and functions in our body. While cartilage exhibits some forms of limited repair, for the most part, it is not particularly regenerative. Thus, in situations where patients require cartilage reconstruction, surgeons may use autografts to replace missing or damaged tissue. Cartilage tissues from different regions of the body exhibit histological differences and are in limited supply. Thus, it is important to characterize these differences to determine the most appropriate autograft source. In the case of microtia, a congenital deformity where the pinna is underdeveloped, reconstruction commonly utilizes cartilage sourced from a patient's own costal cartilage. This presents a potential morbidity risk. In this study, we evaluate the histological characteristics of microtia cartilage compared with normal auricular and costal cartilage obtained from human patients undergoing surgical resection. Histochemistry was used to evaluate cellularity, lipid content, and ECM content. Using a Bayesian statistical approach, we determined that while costal cartilage is the standard tissue donor, the microanatomy of microtia cartilage more closely reflects normal auricular cartilage than costal cartilage. Therefore, microtia cartilage may serve as an additional reservoir for cartilage during reconstruction.

Integrating lesbian, gay, bisexual, transgender, and queer (LGBTQ) competency into the dental school curriculum.

BACKGROUND: Decreasing healthcare disparities in marginalized communities requires healthcare providers who understand and appreciate social, economic, and cultural backgrounds. This includes care and education focused on individuals who identify as lesbian, gay, bisexual, transgender, or queer (LGBTQ). METHODS: This study examined dental students' and residents' self-reported clinical preparedness, prejudicial attitudes (implicit and explicit), and knowledge of health disparities that exist in the LGBTQ community using the Lesbian, Gay, Bisexual, Transgender Development of Clinical Skills Scale (LGBT-DOCSS) prior to and after the presentation of an LGBTQ competency course. RESULTS: A total of 178 dental students at a private US dental school ranging from D1 to first-year postdoctoral residency participated in the course and completed both pre-course survey and post-course survey. Sixty-seven percent of the students reported having formal training in LGBTQ competency prior to completing the pre-training survey. The results of the LGBT-DOCSS in this population following intervention training revealed an increased feeling of clinical preparedness in treating LGBTQ patients, decreased bias toward LGBTQ, and increased knowledge of health disparities in the LGBTQ community. A more significant percentage of male respondents self-reported prejudicial beliefs. Knowledge of LGBTQ health issues increased significantly among pre-clinical students. CONCLUSION: Introducing an early intervention LGBTQ competency course in the dental curriculum is an effective method of improving students' awareness and self-confidence in working with LGBTQ patients while decreasing biases that may have existed prior to a training course.

The effect of post-acute rehabilitation setting on 90-day mobility after stroke: A difference-in-difference analysis.

Background: After discharged from the hospital for acute stroke, individuals typically receive rehabilitation in one of three settings: inpatient rehabilitation facilities (IRFs), skilled nursing facilities (SNFs), or home with community services (i.e., home health or outpatient clinics). The initial setting of post-acute care (i.e., discharge location) is related to mortality and hospital readmission; however, the impact of this setting on the change in functional mobility at 90-days after discharge is still poorly understood. The purpose of this work was to examine the impact of discharge location on the change in functional mobility between hospital discharge and 90-days post-discharge. Methods: In this retrospective cohort study, we used the electronic health record to identify individuals admitted to Johns Hopkins Medicine with an acute stroke and who had measurements of mobility [Activity Measure for Post Acute Care Basic Mobility (AM-PAC BM)] at discharge from the acute hospital and 90-days post-discharge. Individuals were grouped by discharge location (IRF=190 [40%], SNF=103 [22%], Home with community services=182 [(38%]). We compared the change in mobility from time of discharge to 90-days post-discharge in each group using a difference-in-differences analysis and controlling for demographics, clinical characteristics, and social determinants of health. Results: We included 475 individuals (age 64.4 [14.8] years; female: 248 [52.2%]). After adjusting for covariates, individuals who were discharged to an IRF had a significantly greater improvement in AM-PAC BM from time of discharge to 90-days post-discharge compared to individuals discharged to a SNF or home with community services (ß=-3.5 (1.4), p=0.01 and ß=-8.2 (1.3), p=<0.001, respectively). Conclusions: These findings suggest that the initial post-acute rehabilitation setting impacts the magnitude of functional recovery at 90-days after discharge from the acute hospital. These findings support the need for high-intensity rehabilitation and for policies that facilitate the delivery of high-intensity rehabilitation after stroke.

TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction.

Epigenetic 'clocks' based on DNA methylation have emerged as the most robust and widely used aging biomarkers, but conventional methods for applying them are expensive and laborious. Here we develop tagmentation-based indexing for methylation sequencing (TIME-seq), a highly multiplexed and scalable method for low-cost epigenetic clocks. Using TIME-seq, we applied multi-tissue and tissue-specific epigenetic clocks in over 1,800 mouse DNA samples from eight tissue and cell types. We show that TIME-seq clocks are accurate and robust, enriched for polycomb repressive complex 2-regulated loci, and benchmark favorably against conventional methods despite being up to 100-fold less expensive. Using dietary treatments and gene therapy, we find that TIME-seq clocks reflect diverse interventions in multiple tissues. Finally, we develop an economical human blood clock (R > 0.96, median error = 3.39 years) in 1,056 demographically representative individuals. These methods will enable more efficient epigenetic clock measurement in larger-scale human and animal studies.

How the EU Soil Observatory contributes to a stronger soil erosion community.

New policy developments have emerged in relation to soil conservation after 2020. The Common Agricultural Policy (CAP) 2023-2027, the proposal for a Soil Monitoring Law and the mission 'A Soil Deal for Europe' have shaped a new policy framework at EU level, which requires updated assessments on soil erosion and land degradation. The EU Soil Observatory (EUSO) successfully organised a scientific workshop on 'Soil erosion for the EU' in June 2022. The event has seen the participation of more than 330 people from 63 countries, addressing important topics such as (i) management practices, (ii) large scale modelling, (iii) the importance of sediments in nutrient cycle, (vi) the role of landslides and (v) laying the foundations for early career scientists. As a follow up, among the 120 abstracts submitted in the workshop, we received fifteen manuscripts, out of which nine were selected for publication in the present special issue. In this editorial, we summarize the major challenges that the soil erosion research community faces in relation to supporting the increasing role of soils in the EU Green Deal.

The Role of Social Networks on Depression and Anxiety Among a Sample of Urban American Indian/Alaska Native Emerging Adults.

PURPOSE: Mental health inequalities continue to persist among American Indian/Alaska Native (AI/AN) people. However, few studies have examined the association of social networks and depression and anxiety among urban emerging AI/AN adults. METHODS: This study analyzes the association of social network characteristics with depression and anxiety among a sample of urban AI/AN emerging adults. A second set of regression models tested the same associations but controlling for respondent sexual and gender minority (SGM) status. Data were from a sample of 150 AI/AN emerging adults residing in urban areas from 20 different states (86% female; mean age 21.8; 48.0% SGM) who participated in a randomized controlled trial analyzing the effects of culturally grounded interventions on alcohol and other drug use and cultural connectedness. RESULTS: Participants with a higher proportion of network members who were around the same age reported significantly less anxiety. Those who had a higher proportion of network members who they sometimes/often argue/fight with were more likely to report greater depression and anxiety. Participants with higher proportions of social network members who have ever lived on a reservation/Rancheria/tribal land/tribal village reported significantly less depression. However, participants with higher proportions of social network members who lived 50 miles away or more reported significantly more depression. Controlling for SGM status, results were largely similar. DISCUSSION: Results highlight the role of social connections on the mental well-being of urban AI/AN emerging adults.

Socioeconomic status and risk for child psychopathology: exploring gene-environment interaction in the presence of gene-environment correlation using extended families in the Norwegian Mother, Father and Child Birth Cohort Study.

BACKGROUND: Low socioeconomic status (SES) is associated with increased risk for emotional and behavioural problems among children. Evidence from twin studies has shown that family SES moderates genetic and environmental influences on child mental health. However, it is also known that SES is itself under genetic influence and previous gene-environment interaction (G×E) studies have not incorporated the potential genetic overlap between child mental health and family SES into G×E analyses. We applied a novel approach using extended family data to investigate the moderation of aetiological influences on child emotional and behavioural problems by parental socioeconomic status in the presence of modelled gene-environment correlation. METHODS: The sample comprised >28,100 children in extended-family units drawn from the Norwegian Mother, Father and Child Cohort Study (MoBa). Mothers reported children's emotional and behavioural symptoms. Parents' income and educational attainment were obtained through linkage to administrative register data. Bivariate moderation Multiple-Children-of-Twins-and-Siblings (MCoTS) models were used to analyse relationships between offspring outcomes (emotional and behavioural symptom scores) and parental socioeconomic moderators (income rank and educational attainment). RESULTS: The aetiology of child emotional symptoms was moderated by maternal and paternal educational attainment. Shared environmental influences on child emotional symptoms were greater at lower levels of parents' education. The aetiology of child behavioural symptoms was moderated by maternal, but not paternal, socioeconomic factors. Genetic factors shared between maternal income and child behavioural symptoms were greater in families with lower levels maternal income. Nonshared environmental influences on child behavioural symptoms were greater in families with higher maternal income and education. CONCLUSIONS: Parental socioeconomic indicators moderated familial influences and nonshared environmental influences on child emotional and behavioural outcomes. Maternal SES and child mental health share aetiological overlap such that shared genetic influence was greater at the lower end of the socioeconomic distribution. Our findings collectively highlight the role that family socioeconomic factors play in shaping the origins of child emotional and behavioural problems.

Neighborhood determinants of sleep and the moderating role of cultural factors among native adolescents.

OBJECTIVE: This study examined the association between neighborhood social environment and sleep among urban American Indian and Alaska Native (AI/AN) adolescents as well as the moderating role of cultural factors in this association. METHOD: The analytic sample included 133 urban AI/AN adolescents (age 12-16, 57.1% female, Mage = 14.03, SDage = 1.35). Perceived neighborhood social environment included safety and cohesion. Cultural factors included AI/AN cultural identification and historical loss. Sleep duration, efficiency, and wake after sleep onset (WASO) were measured via actigraphy. Sleep disturbance was measured via a questionnaire. RESULTS: Greater neighborhood safety was significantly associated with lower sleep disturbance (b = -2.17, SE = 0.8, p = .008), higher sleep efficiency (b = 1.75, SE = 0.64, p = .006), and lower WASO (b = -8.60, SE = 3.34, p = .01). Neighborhood cohesion was not associated with any sleep outcomes. Cultural factors moderated the association between neighborhood social environment and sleep outcomes (p < .05). Specifically, both neighborhood safety and cohesion were associated with lower sleep disturbance, only among individuals reporting higher levels of AI/AN cultural identification. Further, neighborhood safety was associated with greater sleep efficiency and lower WASO (i.e., better sleep) only among adolescents with higher contemplation of historical loss. CONCLUSIONS: Findings highlight the importance of considering cultural factors in addressing sleep and health disparities. AI/AN cultural identification and a sense of historical loss may be important targets for identifying adolescents who might benefit the most from policies and interventions focused on improving the social environment in order to improve sleep and other health outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users.

BACKGROUND: The growth of urban dwelling populations globally has led to rapid increases of research and policy initiatives addressing associations between the built environment and physical activity (PA). Given this rapid proliferation, it is important to identify priority areas and research questions for moving the field forward. The objective of this study was to identify and compare research priorities on the built environment and PA among researchers and knowledge users (e.g., policy makers, practitioners). METHODS: Between September 2022 and April 2023, a three-round, modified Delphi survey was conducted among two independent panels of international researchers (n = 38) and knowledge users (n = 23) to identify similarities and differences in perceived research priorities on the built environment and PA and generate twin 'top 10' lists of the most important research needs. RESULTS: From a broad range of self-identified issues, both panels ranked in common the most pressing research priorities including stronger study designs such as natural experiments, research that examines inequalities and inequities, establishing the cost effectiveness of interventions, safety and injuries related to engagement in active transportation (AT), and considerations for climate change and climate adaptation. Additional priorities identified by researchers included: implementation science, research that incorporates Indigenous perspectives, land-use policies, built environments that support active aging, and participatory research. Additional priorities identified by knowledge users included: built environments and PA among people living with disabilities and a need for national data on trip chaining, multi-modal travel, and non-work or school-related AT. CONCLUSIONS: Five common research priorities between the two groups emerged, including (1) to better understand causality, (2) interactions with the natural environment, (3) economic evaluations, (4) social disparities, and (5) preventable AT-related injuries. The findings may help set directions for future research, interdisciplinary and intersectoral collaborations, and funding opportunities.

Social Networks, Cultural Pride, and Historical Loss Among Non-Reservation American Indian / Alaska Native Emerging Adults.

Health disparities among American Indian/Alaska Native (AI/AN) populations in the United States are the result of historical traumas, such as colonization, forced relocation, and federal policies focused on cultural assimilation. Culturally-tailored health interventions aim to address intergenerational trauma by emphasizing cultural strengths and building positive social connections. In this article, we explore the social network characteristics of participants of the first culturally-tailored health intervention for AI/AN emerging adults (18-25) living outside of tribal lands. Participants (N = 150; 86% female) were recruited across the United States via social media and completed online egocentric network interviews prior to the start of intervention workshops. Participants' networks were diverse in composition and structure. They were primarily composed of family and friends, were people they had regular contact with, were similar age, and provided participants with support. We tested for significant associations between network characteristics, individual characteristics (age, gender, travel to reservations, speaking tribal languages, etc.) and two dependent measures: 1) cultural pride and belongingness and 2) thoughts of historical loss. Multiple regression results show that higher proportions of network members who discussed AI/AN identity with participants and having more network members who engage in traditional practices was associated with stronger cultural pride and belongingness. Higher proportions of network members having discussion of AI/AN identity with participants was also associated with more frequent thoughts of historical loss. Controlling for network factors, no individual characteristics were associated with either dependent variable. We discuss implications for the development of culturally-tailored health interventions.

Brazilian national production of active pharmaceutical ingredients: regulatory and strategic framework.

Active Pharmaceutical Ingredient (API) is any component of the final pharmaceutical product that serves as the active ingredient. The goal of the API Manufacturing is to produce APIs that are competitively priced and meet the quality standards with the least possible impact on the environment. The global API market is expected to experience massive growth in the coming years reaching the size of USD 355.94 billion. The global Pharmaceutical Industry is facing a new scenario in 2023 after responding to the COVID-19 pandemic. In this new panorama, rethinking the pharmaceutical production and market is necessary. Despite Brazil's prominence in terms of worldwide pharmaceutical spending, only 5% of the APIs required by local pharmaceutical companies are produced domestically. Therefore, Brazil is an untapped field for APIs' manufacturing and faces a scenario of health vulnerability associated with the reliance on foreign API imports to ensure the viability of national Pharmaceutical Production and Services. Huge investments are required to boost the growth of the API Manufacturing sector. Herein is presented a critical analysis of the current regulatory and strategic status of Brazilian national production and/or acquisition of APIs, which represent the key starting materials for the Pharmaceutical Industry.

Corrigendum: VIDIIA Hunter: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK.

[This corrects the article DOI: 10.3389/fmolb.2023.1144001.].

Management of Older Adults With Colorectal Cancer: The Role of Geriatric Assessment.

Older adults share a growing burden of cancer morbidity and mortality. This is present across the spectrum of oncologic diagnoses and is particularly true with colorectal cancer (CRC), where older adults continue to share the burden of diagnoses. However, optimal cancer treatment decision making in older adults remains a significant challenge, as the majority of previous clinical trials shaping the current treatment landscape have focused on younger patients, often with more robust performance status and fewer medical comorbid conditions. The heterogeneous aging process of older adults with CRC necessitates a personalized treatment approach, as approximately three-quarters of older adults with CRC also have a concominant geriatric syndrome and more than half of older adults with CRC are pre-frail or frail. Treatment decisions shoud be multifaceted, including consultation with the patient and their familes regarding their wishes, with consideration of the patient's quality of life, functional status, medical comorbid conditions, social support, and treatment toxicity risk. Geriatric assessment is a systematic and validated approach to assess an older adults's potential strengths and vulnerabilities, which can in turn be used to assist with comprehensive cancer care planning and support. In this review, we will summarize current treatment approaches for older adults with CRC, with a particular focus on the incorporation of the geriatric assessment.

Latin American Trans-ancestry INitiative for OCD genomics (LATINO): Study protocol.

Obsessive-compulsive disorder (OCD) is a debilitating psychiatric disorder. Worldwide, its prevalence is ~2% and its etiology is mostly unknown. Identifying biological factors contributing to OCD will elucidate underlying mechanisms and might contribute to improved treatment outcomes. Genomic studies of OCD are beginning to reveal long-sought risk loci, but >95% of the cases currently in analysis are of homogenous European ancestry. If not addressed, this Eurocentric bias will result in OCD genomic findings being more accurate for individuals of European ancestry than other ancestries, thereby contributing to health disparities in potential future applications of genomics. In this study protocol paper, we describe the Latin American Trans-ancestry INitiative for OCD genomics (LATINO, https://www.latinostudy.org). LATINO is a new network of investigators from across Latin America, the United States, and Canada who have begun to collect DNA and clinical data from 5000 richly phenotyped OCD cases of Latin American ancestry in a culturally sensitive and ethical manner. In this project, we will utilize trans-ancestry genomic analyses to accelerate the identification of OCD risk loci, fine-map putative causal variants, and improve the performance of polygenic risk scores in diverse populations. We will also capitalize on rich clinical data to examine the genetics of treatment response, biologically plausible OCD subtypes, and symptom dimensions. Additionally, LATINO will help elucidate the diversity of the clinical presentations of OCD across cultures through various trainings developed and offered in collaboration with Latin American investigators. We believe this study will advance the important goal of global mental health discovery and equity.

Ethnoracial Disparities in Nitrogen Dioxide Pollution in the United States: Comparing Data Sets from Satellites, Models, and Monitors.

In the United States (U.S.), studies on nitrogen dioxide (NO2) trends and pollution-attributable health effects have historically used measurements from in situ monitors, which have limited geographical coverage and leave 66% of urban areas unmonitored. Novel tools, including remotely sensed NO2 measurements and estimates of NO2 estimates from land-use regression and photochemical models, can aid in assessing NO2 exposure gradients, leveraging their complete spatial coverage. Using these data sets, we find that Black, Hispanic, Asian, and multiracial populations experience NO2 levels 15-50% higher than the national average in 2019, whereas the non-Hispanic White population is consistently exposed to levels that are 5-15% lower than the national average. By contrast, the in situ monitoring network indicates more moderate ethnoracial NO2 disparities and different rankings of the least- to most-exposed ethnoracial population subgroup. Validating these spatially complete data sets against in situ observations reveals similar performance, indicating that all these data sets can be used to understand spatial variations in NO2. Integrating in situ monitoring, satellite data, statistical models, and photochemical models can provide a semiobservational record, complete geospatial coverage, and increasingly high spatial resolution, enhancing future efforts to characterize, map, and track exposure and inequality for highly spatially heterogeneous pollutants like NO2.

VIDIIA Hunter diagnostic platform: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostics approved for medical use in the UK.

Introduction: Accurate and rapid diagnostics paired with effective tracking and tracing systems are key to halting the spread of infectious diseases, limiting the emergence of new variants and to monitor vaccine efficacy. The current gold standard test (RT-qPCR) for COVID-19 is highly accurate and sensitive, but is time-consuming, and requires expensive specialised, lab-based equipment. Methods: Herein, we report on the development of a SARS-CoV-2 (COVID-19) rapid and inexpensive diagnostic platform that relies on a reverse-transcription loop-mediated isothermal amplification (RT-LAMP) assay and a portable smart diagnostic device. Automated image acquisition and an Artificial Intelligence (AI) deep learning model embedded in the Virus Hunter 6 (VH6) device allow to remove any subjectivity in the interpretation of results. The VH6 device is also linked to a smartphone companion application that registers patients for swab collection and manages the entire process, thus ensuring tests are traced and data securely stored. Results: Our designed AI-implemented diagnostic platform recognises the nucleocapsid protein gene of SARS-CoV-2 with high analytical sensitivity and specificity. A total of 752 NHS patient samples, 367 confirmed positives for coronavirus disease (COVID-19) and 385 negatives, were used for the development and validation of the test and the AI-assisted platform. The smart diagnostic platform was then used to test 150 positive clinical samples covering a dynamic range of clinically meaningful viral loads and 250 negative samples. When compared to RT-qPCR, our AI-assisted diagnostics platform was shown to be reliable, highly specific (100%) and sensitive (98-100% depending on viral load) with a limit of detection of 1.4 copies of RNA per µL in 30 min. Using this data, our CE-IVD and MHRA approved test and associated diagnostic platform has been approved for medical use in the United Kingdom under the UK Health Security Agency's Medical Devices (Coronavirus Test Device Approvals, CTDA) Regulations 2022. Laboratory and in-silico data presented here also indicates that the VIDIIA diagnostic platform is able to detect the main variants of concern in the United Kingdom (September 2023). Discussion: This system could provide an efficient, time and cost-effective platform to diagnose SARS-CoV-2 and other infectious diseases in resource-limited settings.