Aid, Trade and Development: The Future of Globalization, Second Edition

This volume presents a broad sweep of modern economic history underpinning aid, trade, development and globalization in the last half century and the salient challenges facing the global community today. The author draws on his long years as an academic and development practitioner to recommend what needs to be done to cope with the backsliding of the fight against global poverty, fractured geopolitics and the threats to the multilateral economic order. The new, revised edition analyses how unilateralism, rising protectionism and the Covid-19 pandemic seriously threaten global sustainable development. It concludes with recommendations on the policy changes needed to make globalization more equitable and development more sustainable. This book will be of interest to researchers and students of economic development and economic history, as well as all those concerned about global inequality and sustainability. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

IDWeek 2022

IDWeek is the joint annual meeting of the Infectious Diseases Society of America (IDSA), Society for Healthcare Epidemiology of America (SHEA), the HIV Medicine Association (HIVMA), the Pediatric Infectious Diseases Society (PIDS) and the Society of Infectious Diseases Pharmacists (SIDP). For the first time since the COVID-19 public health emergency began, IDWeek 2022 returned to in-person attendance. It was held in Washington, D.C., and the meeting comprised 5 days of live sessions and on-demand content that included posters and oral presentations.Copyright © 2023 Clarivate.

Quantifying Population Immunity to Covid-19 in Washington State and Oregon

Background: Since early 2020, the novel SARS-CoV-2 virus has spread rapidly throughout the globe. Subsequently many individuals have developed some form of immunity due to either a prior infection, one or more vaccinations, or a combination of the two. Using local epidemic data and mathematical modeling, we enumerate the various immune populations in Washington State and Oregon and quantify the level of protection against infection and hospitalization. Method(s): We developed a compartmental model of ordinary differential equations, which stratifies the population by age (0-17 years, 18-49 years, 50-64 years, and 65+ years), region, type of immunity (naive, infectionderived, vaccine-derived, booster-derived, hybrid immunity, etc), and recency of immune conferring event (recent and waned). To track the number of individuals in each category we combine 1) literature-based estimates of susceptibility to infection and severe disease by age, immune status, and variant, 2) calibration to the number of severe infections (hospitalizations and deaths) and number of vaccinations and 3) validation with serological surveys of the population. Result(s): We estimate that by mid-April 2022 more than 95% of the populations of both Washington and Oregon had some immunity against COVID-19 infection and hospitalization. Younger age groups tended to have much higher rates of natural or hybrid immunity with 96% of 0-17-year-olds and 83% of 18-49-year-olds protected due to past infections. Overall, the population-level immunity against the Omicron variant reduced risk of infection by 59% (95% Credible Interval 54% - 62%) and risk of hospitalization by 79% (95% CI 77% - 81%) in Washington and 62% (95% CI 57% -66%) and 83% (95% CI 82% - 85%), respectively, in Oregon. There was similar population-level protection against Delta at the start of the Omicron wave in early December 2021, which reduced risk of infection by 60% (95% CI 56% - 63%) and risk of hospitalization 79% (95% CI 78% - 80%) in Washington and 66% (95%CI 63% - 70%) and 82% (81% - 83%), respectively, in Oregon. Conclusion(s): Very large waves of new infections throughout 2021 and early 2022, in addition to high levels of vaccination and boosting among the older age groups in Washington and Oregon have greatly reduced population susceptibility to currently circulating strains. However even very high population immunity has allowed for emergence of novel variants that escape existing immunity, highlighting the need for continued develop of new variantspecific boosters.

PROTECTION AGAINST HETEROLOGOUS CHALLENGE 1 YEAR AFTER INFANT SARS-CoV-2 IMMUNIZATION

Background: Although mRNA SARS-CoV-2 vaccines have received emergencyuse- authorization for infants age 6 months and older, vaccine uptake is slow, stressing that questions of safety and durability of vaccine efficacy remain prominent. Method(s): Infant rhesus macaques (RMs) (n=8/group) at 2 months of age, comparable to human toddler age, were immunized intramuscularly at weeks 0 and 4 with 30mug stabilized prefusion SARS-CoV-2 S-2P spike (S) protein (Washington strain) encoded by mRNA encapsulated in lipid nanoparticles (mRNA-LNP) or 15mug S protein mixed with 3M-052 in stable emulsion (Protein). At 1 year, vaccinated and age-matched unvaccinated RM (n=8) were challenged intranasally (106pfu) and intratracheally (2x106pfu) with B.1.617.2. Lung radiographs and pathology were blindly assessed, viral N gene RNA (vRNA) copies were measured by qPCR in pharyngeal swabs and lung, and neutralizing antibody and peripheral blood T cell responses were measured. Result(s): At 1 year, D614G-specific neutralizing antibody (nAb) titers were still detectable in the Protein (ID50=755;range: 359-1,949) and mRNA-LNP groups (ID50=73;range: 41-240). Both vaccines also induced cross-neutralizing antibodies to B.1.617.2. Peripheral blood CD4+ T cell responses to the ancestral spike protein at week 52 did not differ between the groups. However, median CD8+ T cell responses were higher (p=0.002, Mann Whitney) in the mRNA-LNP group (2.8%;range: 0.9%-7.1%) compared to the Protein group (0.8%;range: 0.1%-1.6%). Control RMs had significantly higher median vRNA copies/ml (1.4+/-2.7x108) in day 4 pharyngeal swabs compared to Protein (3.8+/-6.8x103) or mRNA-LNP (4.4+/-9.7x105) vaccinated RMs. Severe lung pathology was observed in 7 of 8 controls compared to 1 of 8 or 0 of 8 RMs in the mRNA-LNP or Protein group respectively. Protection against lung inflammation was associated with nAb titers (r=-0.592, p=0.003) (Figure 1). Conclusion(s): These results demonstrate that despite lower vaccine doses compared to adults, both protein and mRNA vaccines were safe, induced durable immune responses and provided comparable protective efficacy against infection with a heterologous SARS-CoV-2 variant in infants, implying that early life vaccination of human infants may lead to durable immunity. Neutralizing ID50 antibody titers are a correlate of protection in infant RMs challenged with SARS-CoV-2.

DISABILITY AND COVID-19 TESTING: A CROSS-SECTIONAL RADx-UP STUDY

Background: Nearly 26% of adults in the U.S. live with disability and are more likely to experience chronic health conditions, barriers to healthcare, and severe COVID-19 illness. Therefore, COVID-19 testing of adults living with disability is important to consider. The purpose of this study was to explore relationships between disability and COVID-19 testing, infection, and related challenges. Method(s): A Rapid Acceleration of Diagnostics-Underserved Population (RADx-UP) project in Miami, FL determined disability with a modified version of the Washington Group General Disability Measure. HIV serostatus and COVID-19 vaccination were confirmed with medical records. COVID-19 testing and infection history were self-reported. Statistical analyses included chi-squared tests and multiple binary logistic regression;variance inflation factors were calculated to ensure absence of collinearity. Result(s): A total of 1,689 RADx-UP participants with an average age of 55+/-12.3, 51% male, 49% Black non-Hispanic, 23% living with HIV (86% virally suppressed), and 76% received at least one dose of a COVID-19 vaccine. Nearly 40% were disabled, 37% reported employment disability, and 21% were functionally disabled (disability that interferes with performance of daily activities). Despite recruitment from the same sources, PLWH, compared to those without HIV, were more likely to be disabled (52% vs 36%;p< 0.0001), report employment disability (63% vs 30%;p< 0.0001), and report functional disability (29% vs 18%;p< 0.0001). Those with employment disability were less likely to have ever been tested for COVID-19 compared to those without (81% vs 85%;p=0.026). Employment disability was also associated with lower odds of having ever tested positive for COVID-19 after adjustment for demographics, health insurance, HIV, COVID-19 vaccination, smoking, and lung disease (aOR, 0.62;95% CI, 0.43-0.90;p=0.013). Disability was associated with greater odds of transportation challenges (aOR, 2.33;95% CI, 1.76-3.08;p< 0.0001), illicit drug use (aOR, 1.92;95% CI, 1.49-2.47;p< 0.0001), and smoking (aOR, 1.74;95% CI, 1.39-2.17;p< 0.0001). Compared to those without, those with transportation challenges (14% vs 40%;p< 0.0001) and illicit drug use (18% vs 30%;p=0.001) were more likely to postpone medical care. Conclusion(s): Lower COVID-19 testing rates may contribute to underestimated COVID-19 positivity rates in adults living with disability. Challenges with transportation and substance abuse contribute to less engagement in care.

Expanding Access to Opioid Use Disorder Treatment Via Telehealth in Lewis County, Washington

Purpose of Study Lewis County is in southwest Washington state. With a population per square mile of 31.4, Lewis County is more rural than the rest of the state (101.2 per square mile). Citizens of the county, as well as health care workers at Chehalis Family Medicine (located in Lewis County), report concerns over rates of opioid use disorder. While Lewis County's age adjusted rate per 100,000 of deaths due to opioid overdose from 2014-2017 was lower than that of Washington state (7.6 vs 9.3), its rate of opioid related hospitalizations was significantly higher (110.7 vs 81.5). Methods Used An asset-based approach was used to learn how Lewis County has been addressing opioid use disorder amongst its citizens. Interviews with health care providers, patients at Chehalis Family Medicine, and the pastor of a local church were performed. These conversations revealed a lack of access to public transportation creates a major barrier to receiving opioid use disorder treatment. A literature review of interventions implemented in rural areas to deliver medically assisted opioid use disorder treatment was performed. Summary of Results The recent use of telemedicine to deliver suboxone treatment at Chehalis Family Medicine has increased access to medically assisted treatment of opioid use disorder. Telemedicine has become more prevalent with some loosening of governmental regulations due to the COVID-19 pandemic. Based upon articles by Guille et al and Weintraub et al, administration of medically assisted opioid use disorder treatment via telehealth offers a means to expand access to care in rural communities. They demonstrated no significant differences in patient outcomes. Implementation of telemedicine at other suboxone clinics in Lewis County would improve access to suboxone treatment. Conclusions A strength-based framework allows the existing assets in Lewis County to be appraised so future work can build upon what has already proved effective for the community. Regarding opioid use disorder treatment, Lewis county has several low barrier suboxone clinics which could increase access for rural patients through implementation of telemedicine. Chehalis Family Medicine's recent success with telemedicine in suboxone treatment could serve as a template for how to do so effectively.

The Impact of Remote Hearing Policies on Racial Equity in Criminal Case Outcomes During the Pandemic

The criminal justice system confronted unprecedented challenges during the COVID-19 pandemic. In response, court systems nationwide quickly instituted policies to enable criminal cases to proceed while protecting public health. The shift toward criminal hearings by videoconference or teleconference has persisted. All fifty states now conduct criminal hearings remotely. Yet evidence about how remote proceedings affect case outcomes remains sparse. Using data for all arrests and criminal case dispositions that occurred in California between 2018 and mid-2021, I characterize the impact the pandemic had on arrest and case resolution rates, estimate the impact of adopting policies to permit remote hearings on conviction and sentencing outcomes, and determine which factors contributed to racial differences in outcomes. Remote hearing policies contributed to racial inequalities in outcomes, which predated the pandemic and persisted amid it.

Extracellular vesicles as delivery vectors to enhance killing of bacteria and viruses by airway-recruited human neutrophils

Background: Polymorphonuclear neutrophils (PMNs) recruited to the airway lumen in cystic fibrosis (CF) undergo a rapid transcriptional program, resulting in exocytosis of granules and inhibition of bacterial killing. As a result, chronic infection, feed-forward inflammation, and structural tissue damage occur. Because CF airway PMNs are also highly pinocytic, we hypothesized that we could deliver protein- and ribonucleic acid (RNA)-based therapies to modulate their function to benefit patients. We elected to use extracellular vesicles (EVs) as a delivery vector because they are highly customizable, and airway PMNs have previously been shown by our group to process and use their cargo efficiently [1]. Furthermore, our prior work on CF airway PMNs [2] led to identification of the long noncoding RNA MALAT1, the transcription factor Ehf, and the histone deacetylase/long-chain fatty deacylase HDAC11 as potential targets to modulate CF airway PMN dysfunction. Method(s): H441 human club epithelial cells were chosen for EV production because they efficiently communicate with lung-recruited primary human PMNs [1]. Relevant constructs were cloned into an expression plasmid downstream of a constitutive cytomegalovirus or U6 promoter with an additional puromycin selection cassette. EVs were generated in serumdepleted media and purified by differential centrifugation. Quality and concentration of EVs was determined by electron microscopy and nanoparticle tracking analysis and cargo content by western blot (protein) or qualitative reverse transcription polymerase chain reaction (RNA). Enhanced green fluorescent protein and messenger ribonucleic acid (mRNA) were used as controls. To test delivery to primary human PMNs, generated EVs were applied in the apical fluid of an airway transmigration model [2]. PMN activation was assessed by flow cytometry, and bacterial (PA01 and Staphylococcus aureus 8325-4) killing and viral (influenza Avirus [IAV] H1N1/PR/8/34;SARS-CoV-2/Washington) clearance assays were conducted. Result(s): To package protein, we used EV-loading motifs such as the tetraspanin CD63, Basp1 amino acids 1-9, and the palmitoylation signal of Lyn kinase. To load mRNA, a C'D box motif recognized by the RNA-binding protein L7Ae was included in the 3' untranslated region of the expressed RNA, and CD63-L7Ae was co-expressed. Airway-recruited PMNs treated with EVs containing small interfering RNAs against MALAT1 or HDAC11 showed greater ability to clear bacteria. Conversely, PMNs treated with constructs encasing MALAT1 or HDAC11 efficiently cleared IAV and SARSCoV- 2. PMNs expressing Ehf showed greater clearance of bacteria and viruses. Conclusion(s): Our findings suggest mutually exclusive roles of MALAT-1 and HDAC11 in regulating bacterial and viral clearance by airway-recruited PMNs. Expression of Ehf in airway PMNs may be a pathogen-agnostic approach to enhancing clearance by airway-recruited PMNs. Overall, our study brings proof-of-concept data for therapeutic RNA/protein transfer to airway-recruited PMNs in CF and other lung diseases and for use of EVs as a promising method for cargo delivery to these cells. It is our expectation that, by treating the immune compartment of CF airway disease, pathogentherapies, such as antibiotics will be more effective, and epithelial-targeted therapies, such as CFTR modulators, will have greater penetrance into the cell types of interest.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved

Racial Disparities in Elective Total Knee and Hip Replacement Surgeries during the Covid-19 Pandemic: A Retrospective Study of a Diverse Population in Washington State

Purpose of Study: Total knee (TKA) and hip (THA) arthroplasty procedures are recognized as effective treatments for osteoarthritis of the knee and hip joints which are the leading causes of lower extremity disability among older adults. Previous studies have demonstrated a variance in patients electing to undergo these interventions with non-White patients having significantly lower utilization rates. Our study examined if these disparities continued to exist during the COVID-19 pandemic period. Methods Used: This retrospective cohort study included 580 patients who underwent TKA or THA in 2020 and 2021 in a racially diverse region in Washington State. Demographic data, comorbidities, and post-surgical outcomes were recorded. Patients were stratified as those identifying as White (n=490, 84.5%) or Hispanic/ Latino (n=65, 11.2%). Patients identifying with other races (n=25, 4.3%) were excluded from the study due to small sample sizes. Differences between our two groups were examined using a chi-square test for categorical variables and an independent t-test for continuous variables. The level of significance was set at P < 0.05. Summary of Results: Compared to the White patients, Hispanic/ Latino identifying patients were younger (61.9+/-12.79 years versus 68.58+/-9.00 years;P <0.001), had lower Charlson Comorbidity Index scores (P=0.019), and were more likely to use non-Medicare or Medicaid insurance (P <0.001). No differences were observed in postoperative complication (P=0.632) and COVID-19 infection (P=0.465) rates between the groups. Conclusion(s): Although Hispanic/ Latino identifying patients in this region constitute 45.8% of our study population according to the most recent census tabulation, they accounted for only 11.2% of the patients in our study. These patients were also younger, had fewer comorbidities, and tended to use non-Medicare or Medicaid insurance suggesting an exclusive Hispanic/ Latino patient population electing to undergo TKA or THA procedures during the COVID-19 pandemic. Future studies controlling for osteoarthritis risk factors and patients' election of treatment options may explain these disparities we have observed.

User Segmentation Based on Travel Regularity in E-Scooter Sharing Service

The dockless e-scooter sharing service is rapidly spreading, replacing existing transportation, and improving last-mile accessibility. User segmentation with travel regularity and segment-level behavior analysis, which are already conducted in public transit, also benefits e-scooter sharing service to enhance service quality and increase usage. In this work, we group e-scooter users according to their travel regularity and identify each group's usage characteristics. Through the dockless e-scooter usage data, as operated in six cities in South Korea, travel regularity measured by users' repetitive departure time and destination is discovered and spatiotemporal usage patterns are identified. We divide e-scooter users into three groups by type of travel regularity: irregular user, spatially regular user, and regular user. Regular users more frequently use e-scooters, travel shorter distances, and walk longer distances to find an e-scooter than other groups. It is also revealed that the use in morning peak hours only occurs in the regular user group. By decomposing the temporal patterns of spatially regular and regular users, we discover that spatially regular users are composed of daytime, evening peak, and nighttime users. In contrast, regular users are composed of morning peak, evening peak, and lockdown (restriction in response to COVID-19 pandemic) peak users. This research suggests user segmentation based on travel regularity in e-scooter sharing services, enabling multiple strategies to be drawn to retain users with high regularity and convert users with low regularity to regular users.

Relationship Between Covid-19 And Donor Specific Antibodies In Orthotopic Heart Transplant Recipients

Introduction: De novo donor specific antibodies (DSAs) are associated with increased risk of antibody-mediated rejection (AMR) and worse prognosis in patients after orthotopic heart transplant (OHT). Viral infections have the potential to induce or reactivate the production of DSAs, yet the development of DSAs after infection by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has not been reported. In this observational study, we describe DSA titers after Coronavirus Disease 2019 (COVID-19) infection and relationship with AMR and graft dysfunction in a large OHT cohort at a tertiary academic medical center. Hypothesis: : We predicted that COVID-19 infection would be associated with development of de novo DSAs or increase in pre-existing DSAs. Method(s): We retrospectively analyzed all adult OHT patients followed at Washington University School of Medicine in St. Louis between 4/1/2020-12/31/2021. COVID-19 infection was defined by positive antigen or PCR test in setting of clinical exposure or symptoms. Patients were considered fully vaccinated 2 weeks after 2 doses of the BNT162b (Pfizer-BioNTech) or mRNA-1273 (Moderna) vaccines or after a single dose of the AD26.COV2.S (Johnson & Johnson) vaccine. De novo DSAs were defined as newly detected MHC I or II antibody greater than 2000 mean fluorescence intensity (MFI) by single antigen beads or newly elevated antibody against angiotensin-II type 1 receptor (AT1R). In patients with pre-existing DSAs, a significant increase was defined by an MFI value that increased by 20% or more compared to their baseline value prior to SARS-CoV-2 infection. Result(s): A total of 577 patients were followed during the study period and 117 cases of COVID-19 infection were identified. Baseline characteristics of COVID-19 positive patients are shown in Figure. Overall, 10% of patients infected with SARS-CoV-2 infection developed de novo DSAs or an increase in pre-existing DSAs, with unvaccinated patients having a higher incidence compared to vaccinated patients (15% vs. 2%, p=0.02). MHC class II-specific antibodies were the most common DSAs detected. There was a trend towards higher incidence of AMR in unvaccinated patients, although mortality and long-term graft dysfunction were similar. Conclusion(s): Unvaccinated patients had a higher incidence of developing de novo or an increase in pre-existing DSAs after SARS-CoV-2 infection. Future studies are necessary to investigate the long-term consequences of COVID-19 in the OHT population.Copyright © 2022

Genetic risk factors associated with SARS-CoV-2 susceptibility in multiethnic populations

Susceptibility to infection from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes the disease COVID-19, may be understood more clearly by looking at genetic variants and their associations to susceptibility phenotype. I conducted a genome-wide association study of SARS-CoV-2 susceptibility in a multiethnic set of three populations (European, African, and South Asian) from a UK BioBank clinical and genomic dataset. I estimated associations between susceptibility phenotype and genotyped or imputed SNPs, adjusting for age at enrollment, sex, and the ten top principal components of ancestry. Three genome-wide significant loci and their top associated SNPs were discovered in the European ancestry population: SLC6A20 in the chr3p21.31 locus (rs73062389-A;P=2.315 x 10-12), ABO on chromosome 9 (rs9411378-A;P=2.436 x 10-11) and LZTFL1 on chromosome 3 (rs73062394;P=4.4 x 10-11);these SNPs were not found to be significant in the African and South Asian populations. A multiethnic GWAS may help elucidate further insights into SARS-CoV-2 susceptibility.

BIDEN CALLS FOR BOOSTS TO US SCIENCE SPENDING TO STAY COMPETITIVE

In particular, the National Science Foundation (NSF) would see its budget increase by nearly 19%, and the Department of Energy's Office of Science - a big investor in the physical sciences - would see an increase of nearly 9% (see 'Biden's budget requests for science in 2024'). "The public-health system has been so underfunded for so long that the truth of the matter is, it's going to take a fair amount of money to make that right, but it's a step in the right direction," he says. Furthermore, the budget would provide $24 billion to help US communities prepare for the rising impacts of climate change, and another $7 billion to help communities that depend on oil, gas and coal extraction to tran-sition to clean energy.

To what extent does renewable energy deployment reduce pollution indicators? the moderating role of research and development expenditure: Evidence from the top three ranked countries

Climate change, pollution, drought, and rising seas impede the achievement of the seventh sustainable development goal SDG#7 (i.e. affordable and clean energies).To counter these threats, the use of Renewable Energy (RE) as an alternative to conventional energy has an important role to play in sustainable development. In this context, the purpose of our paper is to investigate the effect of RE deployment on environmental protection in China, The United States of America (USA), and Germany: the top three ranked countries in terms of RE production, according to RENEWABLE 2021 GLOBAL STATUSREPORT. To achieve this objective, the paper adopts a Panel fully modified OLS (FMOLS) method. Results declare that renewable energy significantly reduce pollution indicators;furthermore, we find that Research and development fully moderate this relationship. The findings of this study emphasize the importance of increasing spending on Research and development activities in the RE sector. In addition, the countries studied and countries around the world should pay greater attention to investment in research and development to support the long-term plan for advancing sustainable energy sources for feasible energy and economic development.

Spatio-temporal Graph Learning for Epidemic Prediction

The COVID-19 pandemic has posed great challenges to public health services, government agencies, and policymakers, raising huge social conflicts between public health and economic resilience. Policies such as reopening or closure of business activities are formulated based on scientific projections of infection risks obtained from infection dynamics models. Though most parameters in epidemic prediction service models can be set with domain knowledge of COVID-19, a key parameter, namely, human mobility, is often challenging to estimate due to complex spatio-temporal correlations and social contexts under escalating COVID-19 facilities. Moreover, how to integrate the various implicit features to accurately predict infectious cases is still an open issue. To address this challenge, we formulate the problem as a spatio-temporal network representation problem and propose STEP, a Spatio-Temporal Epidemic Prediction framework, to estimate pandemic infection risk of a city by integrating various real-world conditions (e.g., City Risk Index, climate, and medical conditions) into graph-structured data. We also employ a multi-head attention mechanism in representation learning to extract implicit features for a given city. Extensive experiments have been conducted upon the real-world dataset for 51 states (50 states and Washington, D.C.) of the USA. Experimental results show that STEP can yield more accurate pandemic infection risk estimation than baseline methods. Moreover, STEP outperforms other methods in both short-term and long-term prediction. [ABSTRACT FROM AUTHOR] Copyright of ACM Transactions on Intelligent Systems & Technology is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Digital News Transformation on Education in the Most Affected Country by COVID-19 Using the Topic Modeling and Sentiment Analysis

This study focuses on examining US newspaper articles regarding education from the two major news channels the New York Times (NYT) (N=29.682) and Washington Post (WST) (N=44.308) in period 1 January, 2020 - 19 March, 2021, and splitting them into three stages. We employed Latent Dirichlet Allocation topic modeling and sentiment analysis to depict the overall picture of the data set. Our method flow chart included start, data preparing, data analysis, and result. We used Python to call Google API to calculate the sentiment analysis score. There is a difference in the frequency of the occurrences of the education theme in NYT and WST in the three stages, where NYT relatively dominates. Keywords related to education that appear on the NYT and WST include school, child, parent, student, child, family, feel, and home. Sentiment analysis scores on all themes in NYT and WST were generally in the neutral categories, while the direction from stage one to stage three tends to be more positive. This study could be useful to assist education policy makers in determining the right decisions in the implementation of quality education after the COVID-19 Pandemic era. © 2022 IEEE.

Developing a Community Standard of Care for Individuals Diagnosed with Breast Cancer Patients Across Oregon

Early in the pandemic, cancer centers across the nation and Oregon canceled their cancer support programs as non-essential medical care. Breast cancer patients were forced to look elsewhere for essential assistance and community support to move along their cancer journeys. Pink Lemonade Project (PLP), a Vancouver, WA based community based nonprofit, helped fill the gaps and expanded its local support for breast cancer patients. A virtual format allowed PLP to serve more individuals with our psychological, emotional and financial support programs. Next, PLP convened an informal coalition of all the local breast cancer support organizations including those that offer breast cancer support programs, community including dragon boating and rowing, and others that serve broader communities and more people of color. Then, as Komen National announced its restructuring, and closed the Oregon-Southwest Washington affiliate in Spring 2021, Pink Lemonade Project stepped up again to maintain two locally-grown Komen programs that met critical community need-the MBC Dinner Series and the Treatment Access Program (TAP), a transportation assistance program that served all of Oregon and reduced the geographic barrier to care. Through the coalition, PLP heard patients express concern that they were receiving outdated information and were struggling more to find needed support and resources from their providers. Understandably, nurse navigators and social workers could not maintain and/or update patient resources while they assisted COVID patients. The goal of the coalition was to increase communication across the organizations and to share more event schedules for the ease of patients to understand what support programs are available. This session, delivered by an all breast cancer patient panel, will give an overview of Pink Lemonade Project;its programs that helps with psychological, emotional, community and financial support for breast cancer patients, survivors and those living with metastatic breast cancer;and will highlight the results from the patient point of view of the systematic review of the contents of 6 regional health systems new patient binders and present recommendations for consistent, community-wide content for all future breast cancer patients. The project's main strength was that Pink Lemonade Project could draw upon on an existing coalition of local, community-based breast cancer organizations to help update and standardize breast cancer support information from the patient point of view. Then by acting as a neutral convener, PLP could request and receive the binders from all the region's healthcare providers to help standardize and update the community resources across all the region's cancer centers. The result is that any new breast cancer patient, regardless of where their access to care is, can receive consistent community-based information and resources. Another result of this project showed the importance of the partnership of healthcare and human service agencies, especially in a post-pandemic world. As the pandemic continues to strain healthcare, community-based nonprofits have a unique role to help coordinate community resources and improve the quality of life for those affected by breast cancer.

Genomic Characterization of Respiratory Syncytial Virus during 2022-23 Outbreak, Washington, USA.

We sequenced 54 respiratory syncytial virus (RSV) genomes collected during 2021-22 and 2022-23 outbreaks in Washington, USA, to determine the origin of increased RSV cases. Detected RSV strains have been spreading for >10 years, suggesting a role for diminished population immunity from low RSV exposure during the COVID-19 pandemic.

Association between any underlying health condition and COVID-19-associated hospitalization by age group, Washington State, 2020-2021: a retrospective cohort study.

BACKGROUND: Presence of at least one underlying health condition (UHC) is positively associated with severe COVID-19, but there is limited research examining this association by age group, particularly among young adults. METHODS: We examined age-stratified associations between any UHC and COVID-19-associated hospitalization using a retrospective cohort study of electronic health record data from the University of Washington Medicine healthcare system for adult patients with a positive SARS-CoV-2 test from February 29, 2020, to March 13, 2021. Any UHC was defined as documented diagnosis of at least one UHC identified by the CDC as a potential risk factor for severe COVID-19. Adjusting for sex, age, race and ethnicity, and health insurance, we estimated risk ratios (aRRs) and risk differences (aRDs), overall and by age group (18-39, 40-64, and 65 + years). RESULTS: Among patients aged 18-39 (N = 3,249), 40-64 (N = 2,840), 65 + years (N = 1,363), and overall (N = 7,452), 57.5%, 79.4%, 89.4%, and 71.7% had at least one UHC, respectively. Overall, 4.4% of patients experienced COVID-19-associated hospitalization. For all age groups, the risk of COVID-19-associated hospitalization was greater for patients with any UHC vs. those without (18-39: 2.2% vs. 0.4%; 40-64: 5.6% vs. 0.3%; 65 + : 12.2% vs. 2.8%; overall: 5.9% vs. 0.6%). The aRR comparing patients with vs. those without UHCs was notably higher for patients aged 40-64 years (aRR [95% CI] for 18-39: 4.3 [1.8, 10.0]; 40-64: 12.9 [3.2, 52.5]; 65 + : 3.1 [1.2, 8.2]; overall: 5.3 [3.0, 9.6]). The aRDs increased across age groups (aRD [95% CI] per 1,000 SARS-CoV-2-positive persons for 18-39: 10 [2, 18]; 40-64: 43 [33, 54]; 65 + : 84 [51, 116]; overall: 28 [21, 35]). CONCLUSIONS: Individuals with UHCs are at significantly increased risk of COVID-19-associated hospitalization regardless of age. Our findings support the prevention of severe COVID-19 in adults with UHCs in all age groups and in older adults aged 65 + years as ongoing local public health priorities.

Stigmatizing Monkeypox and COVID-19: A Comparative Framing Study of The Washington Post's Online News.

BACKGROUND: Stigma relating to health can result in a broad range of vulnerabilities and risks for patients and healthcare providers. The media play a role in people's understanding of health, and stigma is socially constructed through many communication channels, including media framing. Recent health issues affected by stigma include monkeypox and COVID-19. OBJECTIVES: This research aimed to examine how The Washington Post (WP) framed the stigma around monkeypox and COVID-19. Guided by framing theory and stigma theory, online news coverage of monkeypox and COVID-19 was analyzed to understand the construction of social stigma through media frames. METHODS: This research used qualitative content analysis to compare news framings in The Washington Post's online news coverage of monkeypox and COVID-19. RESULTS: Using endemic, reassurance, and sexual-transmission frames, The Washington Post predominantly defined Africa as the source of monkeypox outbreaks, indirectly labeled gays as a specific group more likely to be infected with monkeypox, and emphasized that there was no need to worry about the spread of the monkeypox virus. In its COVID-19 coverage, The Washington Post adopted endemic and panic frames to describe China as the source of the coronavirus and to construct an image of panic regarding the spread of the virus. CONCLUSIONS: These stigma discourses are essentially manifestations of racism, xenophobia, and sexism in public health issues. This research confirms that the media reinforces the stigma phenomenon in relation to health through framing and provides suggestions for the media to mitigate this issue from a framing perspective.