Diagnostic approaches that combine the high sensitivity and specificity of laboratory-based digital detection with the ease of use and affordability of point-of-care (POC) technologies could revolutionize disease diagnostics. This is especially true in infectious disease diagnostics, where rapid and accurate pathogen detection is critical to curbing the spread of disease. We have pioneered an innovative label-free digital detection platform that utilizes Interferometric Reflectance Imaging Sensor (IRIS) technology. IRIS leverages light interference from an optically transparent thin film, eliminating the need for complex optical resonances to enhance the signal by harnessing light interference and the power of signal averaging in shot-noise-limited operation In our latest work, we have further improved our previous 'Single-Particle' IRIS (SP-IRIS) technology by allowing the construction of the optical signature of target nanoparticles (whole virus) from a single image. This new platform, 'Pixel-Diversity' IRIS (PD-IRIS), eliminated the need for z-scan acquisition, required in SP-IRIS, a time-consuming and expensive process, and made our technology more applicable to POC settings. Using PD-IRIS, we quantitatively detected the Monkeypox virus (MPXV), the etiological agent for Monkeypox (Mpox) infection. MPXV was captured by anti-A29 monoclonal antibody (mAb 69-126-3) on Protein G spots on the sensor chips and were detected at a limit-of-detection (LOD) - of 200 PFU/mL (∼3.3 aM). PD-IRIS was superior to the laboratory-based ELISA (LOD - 1800 PFU/mL) used as a comparator. The specificity of PD-IRIS in MPXV detection was demonstrated using Herpes simplex virus, type 1 (HSV-1), and Cowpox virus (CPXV). This work establishes the effectiveness of PD-IRIS and opens possibilities for its advancement in clinical diagnostics of Mpox at POC. Moreover, PD-IRIS is a modular technology that can be adapted for the multiplex detection of pathogens for which high-affinity ligands are available that can bind their surface antigens to capture them on the sensor surface.

OBJECTIVE: State public health departments use federal funding to examine and address social determinants of health (SDOH) within their communities to improve health and advance health equity. Yet, most federal funding is categorical (ie, funding used for a specific program or narrow purpose), which can create barriers to addressing social and structural drivers of inequity. The Preventive Health and Health Services Block Grant (PHHS Block Grant) is a flexible funding mechanism that provides health departments the latitude to identify and fund initiatives that address local public health needs. It is unclear, however, to what extent health departments use this flexible resource to incorporate SDOH into their programs. DESIGN: Cross-sectional, descriptive analysis of state health department PHHS Block Grant program administrative data. SETTING: This study examined PHHS Block Grant budgets and workplans for the federal Fiscal Year 2021 to assess whether state health departments aligned their grant-funded program with the national objectives associated with the Healthy People 2030 SDOH Framework. PARTICIPANTS: Forty-seven states and the District of Columbia were included in this study. MAIN OUTCOME MEASURES: Percent of states that used PHHS Block Grant funds to address SDOH; proportion of funding allocated to address SDOH; percentage of programs that addressed SDOH. RESULTS: Three-fourths (75%) of states allocated funds to 97 programs aligning with at least 1 Healthy People 2030 SDOH-related objective. Fifty of the programs were fully or primarily funded by the PHHS Block Grant. Results also show that as the states' PHHS Block Grant funding level increased so did the percent of states that allocated funding toward SDOH programs. CONCLUSION: This study shows that state health departments are using the PHHS Block Grant to address SDOH, and that the grant plays an important funding role for these programs. States are incorporating the grant into their funding strategies to address SDOH.

Nebulizers are commonly employed for inhaled drug delivery. As they deliver medication through aerosol generation, clarification is needed on what constitutes safe aerosol delivery in infectious respiratory disease settings. The coronavirus disease 2019 pandemic highlighted the importance of understanding the safety and potential risks of aerosol-generating procedures. However, evidence supporting the increased risk of disease transmission with nebulized treatments is inconclusive, and inconsistent guidelines and differing opinions have left uncertainty regarding their use. Many clinicians opt for alternative devices, but this practice could negatively impact outcomes, especially for patients who may not derive full treatment benefit from hand-held inhalers. Therefore, it is prudent to develop strategies that can be used during nebulized treatment to minimize the emission of fugitive aerosols, these comprising bioaerosols exhaled by infected individuals and medical aerosols generated by the device that may also be contaminated. This is particularly relevant for patient care in the context of a highly transmissible virus. The COPD Foundation Nebulizer Consortium (CNC) was formed in 2020 to address uncertainties surrounding administration of nebulized medication. The CNC is an international, multidisciplinary collaboration of patient advocates, pulmonary physicians, critical care physicians, respiratory therapists, clinical scientists, and pharmacists from research centers, medical centers, professional societies, industry, and government agencies. The CNC developed this Expert Guidance to inform the safe use of nebulized therapies for patients and providers and to answer key questions surrounding medication delivery with nebulizers during pandemics or when exposure to common respiratory pathogens is anticipated. CNC members reviewed literature and guidelines regarding nebulization and developed two sets of guidance statements: one for the health care setting, and one for the home environment. Future studies need to explore the risk of disease transmission with fugitive aerosols associated with different nebulizer types in real patient-care situations and to evaluate the effectiveness of mitigation strategies.

Broad spectrum oral antivirals are urgently needed for the early treatment of many RNA viruses of clinical concern. We previously described the synthesis of 1-O-octadecyl-2-O-benzyl-glycero-3-phospho-RVn (V2043), an orally bioavailable lipid prodrug of remdesivir nucleoside (RVn, GS-441524) with broad spectrum antiviral activity against viruses with pandemic potential. Here we compared the relative activity of V2043 with new RVn lipid prodrugs containing sn-1 alkyl ether or sn-2 glycerol modifications. We found that 3-F-4-MeO-Bn, 3-CN-Bn, and 4-CN-Bn sn-2 glycerol modifications improved antiviral activity compared to V2043 when tested in vitro against clinically important RNA viruses from 5 virus families. These results support the continued development of V2043 and sn-2 glycerol modified RVn lipid prodrugs for the treatment of a broad range of RNA viruses for which there are limited therapies.

The case recently reported by Carlin et al.1 was brought to our attention, and we wish to address some details regarding the morphologic diagnosis of anisakiasis. Whereas the histological section of the patient’s small bowel biopsy shown in Figure 1 illustrates an example of an Anisakis sp. larva with clearly evident diagnostic features (particularly, the size in relation to surrounding tissue, tall polymyarian and coelomyarian musculature, and prominent Y-shaped lateral chords) that provide sufficient evidence for the diagnosis,2 Figure 2 features an object that does not appear to be a helminth. The morphologic criteria used to identify the object as Anisakis sp. are not specified, nor are any such features made visible to the reader. The typical appearance of anisakid larvae recovered from human infections is of a loosely coiled, white to pinkish larva, usually 2–3 cm long with three lips, a boring tooth, and a mucron (small projection) on the posterior extremity. Further generic diagnosis is based on the morphology of the esophageal–intestinal junction and lateral chords.3

BACKGROUND: Alaska Native (AN) infants are at risk for severe disease due to respiratory syncytial virus (RSV) and influenza. Maternal immunization protects young infants through transplacental antibody transfer. RSV- and influenza-specific transplacental antibody transfer in mother-infant pairs has not previously been evaluated in the AN population. METHODS: Serum samples collected during pregnancy and at birth from AN mother-infant pairs in the Yukon-Kuskokwim Delta region (YKD) of Alaska (2000-2011; n = 75) and predominantly white pairs in Seattle, Washington (2014-2016; n = 57), were tested for RSV and influenza antibody using a microneutralization and hemagglutination inhibition assay, respectively, and compared between sites. RESULTS: Mean RSV antibody concentrations in pregnant women in YKD and Seattle were similar (log2 RSV antibody 10.6 vs 10.7, P = .86), but cord blood RSV antibody concentrations were significantly lower in infants born to mothers in YKD compared with Seattle (log2 RSV antibody 11.0 vs 12.2, P < .001). Maternal and cord blood influenza antibody concentrations were lower for women and infants in YKD compared with Seattle for all 4 influenza antigens tested (all P < .05). The mean cord to maternal RSV antibody transfer ratio was 1.15 (standard deviation [SD], 0.13) in mother-infant pairs in Seattle compared with 1.04 (SD, 0.08) in YKD. Mean cord blood to maternal antibody transfer ratios for influenza antigens ranged from 1.22 to 1.42 in Seattle and from 1.05 to 1.59 in YKD. CONCLUSIONS: Though the transplacental antibody transfer ratio was high (>1.0) for both groups, transfer ratios for RSV antibody were significantly lower in AN mother-infant pairs. Further studies are needed to elucidate the impact of lower transplacental antibody transfer on infant disease risk in rural Alaska.Alaska Native and continental US mother-infant pairs have high transplacental antibody transfer ratios (>1.0) for influenza and respiratory syncytial virus, but anti-respiratory syncytial virus antibody levels are significantly lower in Alaska Native pairs than in those from the continental US.

To guide One Health capacity building efforts in the Republic of Guinea in the wake of the 2014-2016 Ebola virus disease (EVD) outbreak, we sought to identify and assess the existing systems and structures for zoonotic disease detection and control. We partnered with the government ministries responsible for human, animal, and environmental health to identify a list of zoonotic diseases - rabies, anthrax, brucellosis, viral hemorrhagic fevers, trypanosomiasis and highly pathogenic avian influenza - as the country's top priorities. We used each priority disease as a case study to identify existing processes for prevention, surveillance, diagnosis, laboratory confirmation, reporting and response across the three ministries. Results were used to produce disease-specific systems "maps" emphasizing linkages across the systems, as well as opportunities for improvement. We identified brucellosis as a particularly neglected condition. Past efforts to build avian influenza capabilities, which had degraded substantially in less than a decade, highlighted the challenge of sustainability. We observed a keen interest across sectors to reinvigorate national rabies control, and given the regional and global support for One Health approaches to rabies elimination, rabies could serve as an ideal disease to test incipient One Health coordination mechanisms and procedures. Overall, we identified five major categories of gaps and challenges: (1) Coordination; (2) Training; (3) Infrastructure; (4) Public Awareness; and (5) Research. We developed and prioritized recommendations to address the gaps, estimated the level of resource investment needed, and estimated a timeline for implementation. These prioritized recommendations can be used by the Government of Guinea to plan strategically for future One Health efforts, ideally under the auspices of the national One Health Platform. This work demonstrates an effective methodology for mapping systems and structures for zoonotic diseases, and the benefit of conducting a baseline review of systemic capabilities prior to embarking on capacity building efforts.

Asbestos-related diseases continue to result in approximately 120,000 deaths every year in the United States and worldwide. Although extensive research has been conducted on health effects of occupational exposures to asbestos, many issues related to environmental asbestos exposures remain unresolved. For example, environmental asbestos exposures associated with a former mine in Libby, Montana, have resulted in high rates of nonoccupational asbestos-related disease. Additionally, other areas with naturally occurring asbestos deposits near communities in the United States and overseas are undergoing investigations to assess exposures and potential health risks. Some of the latest public health, epidemiological, and basic research findings were presented at a workshop on asbestos at the 2014 annual meeting of the Society of Toxicology in Phoenix, Arizona. The following focus areas were discussed: a) mechanisms resulting in fibrosis and/or tumor development; b) relative toxicity of different forms of asbestos and other hazardous elongated mineral particles (EMPs); c) proper dose metrics (e.g., mass, fiber number, or surface area of fibers) when interpreting asbestos toxicity; d) asbestos exposure to susceptible populations; and e) using toxicological findings for risk assessment and remediation efforts. The workshop also featured asbestos research supported by the National Institute of Environmental Health Sciences, the Agency for Toxic Substances and Disease Registry, and the U.S. Environmental Protection Agency. Better protection of individuals from asbestos-related health effects will require stimulation of new multidisciplinary research to further our understanding of what constitutes hazardous exposures and risk factors associated with toxicity of asbestos and other hazardous EMPs (e.g., nanomaterials).

Often in regionally aggregated spatiotemporal models, a single variance parameter is used to capture variability in the spatial structure of the model, ignoring the effect that spatially varying factors may have on the variability in the underlying process. We extend existing methodologies to allow for region-specific variance components in our analysis of monthly asthma hospitalization rates in California counties, introducing a heteroscedastic conditional auto-regression model that can greatly improve the fit of our spatiotemporal process. After demonstrating the effectiveness of our new model via simulation, we reanalyse the asthma hospitalization data and note some important findings.

Stochastic process models are widely employed for analyzing spatiotemporal datasets in various scientific disciplines including, but not limited to, environmental monitoring, ecological systems, forestry, hydrology, meteorology, and public health. After inferring on a spatiotemporal process for a given dataset, inferential interest may turn to estimating rates of change, or gradients, over space and time. This manuscript develops fully model-based inference on spatiotemporal gradients under continuous space, continuous time settings. Our contribution is to offer, within a flexible spatiotemporal process model setting, a framework to estimate arbitrary directional gradients over space at any given timepoint, temporal derivatives at any given spatial location and, finally, mixed spatiotemporal gradients that reflect rapid change in spatial gradients over time and vice-versa. We achieve such inference without compromising on rich and flexible spatiotemporal process models and use nonseparable covariance structures. We illustrate our methodology using a simulated data example and subsequently apply it to a dataset of daily PM2.5 concentrations in California, where the spatiotemporal gradient process reveals the effects of California's unique topography on pollution and detects the aftermath of a devastating series of wildfires.