The Ongoing Impact of COVID-19 on Testing for and Diagnoses of HIV and Bacterial Sexually Transmitted Infections in Oregon.

BACKGROUND: The COVID-19 pandemic has disrupted HIV and sexually transmitted infection (STI) testing accessibility. We sought to assess the longer-term impacts of COVID-19 on HIV and STI testing and diagnosis in Oregon. METHODS: First, we examined HIV, Neisseria gonorrhoeae / Chlamydia trachomatis (CT), and syphilis tests conducted at the Oregon State Public Health Laboratory (public sector) and a large commercial laboratory (private sector) and HIV, N. gonorrhoeae , CT, and primary and secondary (P&S) syphilis diagnoses in Oregon from January 1, 2019, to December 31, 2021. We compared monthly testing and diagnosis rates in 5 prespecified periods: pre-COVID-19 (January 2019-February 2020), stay-at-home order (March 2020-May 2020), reopening (June 2020-December 2020), vaccine availability (January 2021-June 2021), and Delta/early Omicron spread (July 2021-December 2021). Second, we calculated the number of HIV and STI diagnoses per test in the public and private sectors. Finally, we used seasonal autoregressive integrated moving average models to predict expected HIV and STI diagnoses for comparison to those observed. RESULTS: Both public and private sector HIV and bacterial STI testing fell to nadirs in April 2020 with incomplete recovery to 2019 levels by the close of 2021. Compared with pre-COVID-19, public sector and private sector testing was significantly lower in all subsequent periods. Compared with pre-COVID-19, P&S syphilis cases were 52%, 75%, and 124% greater in the reopening, vaccine availability, and Delta/early Omicron periods, respectively. From March 2020 to December 2021, we observed an excess of P&S syphilis cases (+37.1%; 95% confidence interval, 22.2% to 52.1%) and a deficit in CT cases (-10.7%; 95% confidence interval, -15.4% to -6.0%). CONCLUSIONS: By December 2021, HIV/STI testing had not recovered to pre-COVID-19 levels, and HIV/STI continues to be underdiagnosed. Despite decreased testing, P&S syphilis cases have increased substantially.

Contraceptive services in Oregon's state-funded network during the COVID-19 pandemic.

OBJECTIVES: To understand how changes to in-person health care during the COVID pandemic impacted contraceptive use in Oregon's state-funded network. STUDY DESIGN: A retrospective cohort of 245,600 visits (virtual and in-person) among 70,295 women presenting to publicly funded family planning clinics in Oregon between January 2019 and June 2021. Data were abstracted from clinic records and restricted to visits of patients identifying as female, 12-51 years old, not using sterilization as a method. Contraception was grouped by effectiveness Tier (Tier 1: intrauterine device, implants; Tier 2: progestin injectable, pill/patch/ring). Multivariable logistic regression predicted the use of contraception by stage of the COVID pandemic which corresponded to service availability (prepandemic, acute: nonemergency services halted, subacute: restricted services), patient demographics, including insurance type, and clinic and geospatial characteristics. RESULTS: Overall during the acute stage, people with visits were more likely to leave with a method of contraception odds ratios (OR) 1.39 (95% confidence interval [CI] 1.24-1.57); however, it was significantly less likely to be a Tier 1 method (OR 0.82, 95% CI 0.74-0.91) as compared to prepandemic. This finding was particularly marked in rural areas (OR 0.69 [96% CI 0.58-0.83]) and among the publicly insured (OR 0.87 [95% CI 0.80-0.94]). CONCLUSIONS: Demand for contraception increased during the acute phase of the COVID pandemic, and shifts in method mix from Tier 1 to Tier 2 methods occurred. Disparities in contraceptive access persisted for those in rural locations or with public insurance. IMPLICATIONS: Lessons learned from the COVID-19 pandemic are critical to informing our future emergency response. The need for family planning services increased during the public health emergency.

Creating a Career Path for Shared Research Resources Personnel.

Shared research resources are essential to academic research. A rapidly evolving workforce within a highly competitive market is making recruitment and retention of knowledgeable and technically skilled core staff more difficult. The inability to recruit and retain staff diminishes the resource's overall ability to provide services, which in turn affects academic research quality. Research institutions need to recognize that the roles and skills of shared research resource staff are distinguishable from those of research staff in funded investigator laboratories, and in doing so, develop a career path for shared research resource staff that will help these facilities recruit, train, and retain them. This brief focuses on the creation of a standardized career track for shared research resource staff: a career path of at least 3 to 5 tiered positions with task outlines that can be tailored to positions needed in any shared research resource. Salaries will vary for individuals within each position classification based on experience, mastered competencies, and time within the shared research resource. Besides characterizing basic task differences between shared research resource staff and other research personnel, the most compelling reason for having a well-delineated career path for shared research resource staff is to establish fairness, equity, and true opportunity in a supportive working environment, where shared research resource staff are motivated by developing a marketable skill set, gaining professional self-confidence, and earning a meaningful salary. Presented here is a case study from Oregon Health & Science University of the creation of a career path for shared research resource staff.

Engaging Latino Families About COVID-19 Vaccines: A Qualitative Study Conducted in Oregon, USA.

OBJECTIVES: Latinos are disproportionately vulnerable to severe COVID-19 due to workplace exposure, multigenerational households, and existing health disparities. Rolling out COVID-19 vaccines among vulnerable Latinos is critical to address disparities. This study explores vaccine perceptions of Latino families to inform culturally centered strategies for vaccine dissemination. METHOD: Semistructured telephone interviews with Latino families (22 mothers and 24 youth, 13-18 years old) explored COVID-19 vaccine perceptions including (1) sources of information, (2) trust of vaccine effectiveness and willingness to get vaccinated, and (3) access to the vaccine distribution. We identified thematic patterns using immersion-crystallization. RESULTS: We found that (1) 41% expressed optimism and willingness to receive the vaccine coupled with concerns about side effects; (2) 45% expressed hesitancy or would refuse vaccination based on mistrust, myths, fear of being used as "guinea pigs," and the perceived role of politics in vaccine development; (3) families "digested" information gathered from social media, the news, and radio through intergenerational communication; and (4) participants called for community-led advocacy and "leading by example" to dispel fear and misinformation. Optimistic participants saw the vaccine as a way to protect their families, allowing youth to return to schools and providing safer conditions for frontline essential workers. CONCLUSIONS: Culturally centered vaccine promotion campaigns may consider the Latino family unit as their target audience by providing information that can be discussed among parents and youth, engaging a range of health providers and advocates that includes traditional practitioners and community health workers, and disseminating information at key venues, such as schools, churches, and supermarkets.

Interpersonal Firearm Injury and Death in Portland, Oregon: 2018 Through 2021.

The annual number of firearm injuries in Portland, Oregon has been higher in the years since 2020 than in any prior year in the city's history. This descriptive study analyzed data from Gun Violence Archives (GVA) from January 1, 2018, to December 31, 2021. All incidents in GVA of interpersonal firearm injury that occurred in Portland during this period were analyzed for location, number of people injured or killed, and demographic information for those injured or killed. Comparisons in firearm injury rates were made with Seattle and San Francisco. Interpersonal firearm injuries began to rise after the first COVID-19 case in Oregon; July 2020 had the most injuries in the four-year period. Black men suffered the highest rate of interpersonal fatalities, with more than 11-fold higher rate per 100,000 than White men in every year studied. Portland had a higher rate of total interpersonal firearm injuries and a higher rate of firearm fatalities from 2018 through 2021 compared to Seattle and San Francisco. Neighborhoods near Downtown and those on the Eastside of the city had the highest rates of interpersonal injuries and deaths from firearms, whereas those in the Southwest had the lowest. Defining the burden of disease from interpersonal firearm injuries is a fundamental step in designing future public health research and implementing interventions to curb the trauma brought by interpersonal firearm injury.

The impact of politics, religion, and rurality on COVID-19 vaccine hesitancy in Oregon: a cross-sectional study.

INTRODUCTION: Vaccine hesitancy has been a major barrier to mitigating the effects of COVID-19, especially in rural Oregon, USA. This study assessed the influence of political affiliation, religious identity, and rurality on vaccine hesitancy in counties across Oregon. METHODS: Cross-sectional association analysis was performed using public data on US President Trump votership in the 2020 election, White Christian identity, population density, and COVID-19 vaccination data for adults as of 29 August 2021. RESULTS: By 29 August 2021, 68.0% of adults had been fully vaccinated in Oregon. Trump votership was the strongest independent association with vaccination status in Oregon (r=0.90, p<0.01), followed by White Christian identity (r= -0.69, p<0.01), and population density (r=0.55, p<0.01). In multivariate analysis, White Christian identity and political affiliation with Trump in the 2020 election explained 84.1% of the variability in COVID-19 vaccination status in Oregon counties. CONCLUSION: White Christian identity, Trump affiliation, and rurality were identified as factors in vaccine hesitancy among counties in Oregon. Without addressing these factors in public health outreach, vaccine hesitancy is likely to continue unabated.

COVID-19 Vaccination Status and Concerns Among People Who Use Drugs in Oregon.

OBJECTIVES: The objective of this study was to examine COVID-19 vaccination acceptance and explore reasons for COVID-19 vaccine hesitancy among people who use drugs (PWUDs), a population with increased COVID-19 transmission and morbidity. METHODS: We conducted semi-structured in-depth interviews with PWUDs in 7 Oregon counties from May 11 to June 25, 2021. Participants (n = 34) were recruited in partnership with syringe service programs and local community organizations staff, participant-referrals, and flyer advertising. Research staff conducted interviews via telephone to assess participants' acceptance of the COVID-19 vaccine, find knowledge gaps where new educational information about vaccination would be helpful, and identify who would be perceived as a trustworthy source of information. Interviews were transcribed and coded using thematic analysis with a deductive approach. RESULTS: Most participants had not received the COVID-19 vaccine and were not planning on or were unsure about receiving it. Participants were mistrustful of the rapid COVID-19 vaccine development process, the agencies involved in the development, and vaccines in general. Participants shared varied and contrasting responses about who they would trust to provide information about the COVID-19 vaccine, including peer recovery support specialists, doctors, or other health care professionals, and specified federal agencies or media outlets. CONCLUSIONS: As addiction medicine and public health staff continue to respond to the evolving impacts of COVID-19, vaccination planning should be tailored to the unique needs of PWUD to increase COVID-19 vaccine acceptance in this high-risk population.

Development and design of a culturally tailored intervention to address COVID-19 disparities among Oregon's Latinx communities: A community case study.

Background: Latinx communities are disproportionately affected by COVID-19 compared with non-Latinx White communities in Oregon and much of the United States. The COVID-19 pandemic presents a critical and urgent need to reach Latinx communities with innovative, culturally tailored outreach and health promotion interventions to reduce viral transmission and address disparities. The aims of this case study are to (1) outline the collaborative development of a culturally and trauma-informed COVID-19 preventive intervention for Latinx communities; (2) describe essential intervention elements; and (3) summarize strengths and lessons learned for future applications. Methods: Between June 2020 and January 2021, a multidisciplinary team of researchers and Latinx-serving partners engaged in the following intervention development activities: a scientific literature review, a survey of 67 Latinx residents attending public testing events, interviews with 13 leaders of community-based organizations serving Latinx residents, and bi-weekly consultations with the project's Public Health and Community Services Team and a regional Community and Scientific Advisory Board. After launching the intervention in the field in February 2021, bi-weekly meetings with interventionists continuously informed minor iterative refinements through present day. Results: The resulting intervention, Promotores de Salud, includes outreach and brief health education. Bilingual, trauma-informed trainings and materials reflect the lived experiences, cultural values, needs, and concerns of Latinx communities. Interventionists (21 Promotores) were Latinx residents from nine Oregon counties where the intervention was delivered. Conclusions: Sharing development and intervention details with public health researchers and practitioners facilitates intervention uptake and replication to optimize the public health effect in Oregon's Latinx communities and beyond.

Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA.

SARS-CoV-2 variant proportions in a population can be estimated through genomic sequencing of clinical specimens or wastewater samples. We demonstrate strong pairwise correlation between statewide variant estimates in Oregon, USA, derived from both methods (correlation coefficient 0.97). Our results provide crucial evidence of the effectiveness of community-level genomic surveillance.

Evaluation of a Wastewater-Based Epidemiological Approach to Estimate the Prevalence of SARS-CoV-2 Infections and the Detection of Viral Variants in Disparate Oregon Communities at City and Neighborhood Scales.

BACKGROUND: Positive correlations have been reported between wastewater SARS-CoV-2 concentrations and a community's burden of infection, disease or both. However, previous studies mostly compared wastewater to clinical case counts or nonrepresentative convenience samples, limiting their quantitative potential. OBJECTIVES: This study examined whether wastewater SARS-CoV-2 concentrations could provide better estimations for SARS-CoV-2 community prevalence than reported cases of COVID-19. In addition, this study tested whether wastewater-based epidemiology methods could identify neighborhood-level COVID-19 hotspots and SARS-CoV-2 variants. METHODS: Community SARS-CoV-2 prevalence was estimated from eight randomized door-to-door nasal swab sampling events in six Oregon communities of disparate size, location, and demography over a 10-month period. Simultaneously, wastewater SARS-CoV-2 concentrations were quantified at each community's wastewater treatment plant and from 22 Newport, Oregon, neighborhoods. SARS-CoV-2 RNA was sequenced from all positive wastewater and nasal swab samples. Clinically reported case counts were obtained from the Oregon Health Authority. RESULTS: Estimated community SARS-CoV-2 prevalence ranged from 8 to 1,687/10,000 persons. Community wastewater SARS-CoV-2 concentrations ranged from 2.9 to 5.1 log10 gene copies per liter. Wastewater SARS-CoV-2 concentrations were more highly correlated (Pearson's r=0.96; R2=0.91) with community prevalence than were clinically reported cases of COVID-19 (Pearson's r=0.85; R2=0.73). Monte Carlo simulations indicated that wastewater SARS-CoV-2 concentrations were significantly better than clinically reported cases at estimating prevalence (p<0.05). In addition, wastewater analyses determined neighborhood-level COVID-19 hot spots and identified SARS-CoV-2 variants (B.1 and B.1.399) at the neighborhood and city scales. DISCUSSION: The greater reliability of wastewater SARS-CoV-2 concentrations over clinically reported case counts was likely due to systematic biases that affect reported case counts, including variations in access to testing and underreporting of asymptomatic cases. With these advantages, combined with scalability and low costs, wastewater-based epidemiology can be a key component in public health surveillance of COVID-19 and other communicable infections. https://doi.org/10.1289/EHP10289.

Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA.

Genomic surveillance has emerged as a critical monitoring tool during the SARS-CoV-2 pandemic. Wastewater surveillance has the potential to identify and track SARS-CoV-2 variants in the community, including emerging variants. We demonstrate the novel use of multilocus sequence typing to identify SARS-CoV-2 variants in wastewater. Using this technique, we observed the emergence of the B.1.351 (Beta) variant in Linn County, Oregon, USA, in wastewater 12 days before this variant was identified in individual clinical specimens. During the study period, we identified 42 B.1.351 clinical specimens that clustered into 3 phylogenetic clades. Eighteen of the 19 clinical specimens and all wastewater B.1.351 specimens from Linn County clustered into clade 1. Our results provide further evidence of the reliability of wastewater surveillance to report localized SARS-CoV-2 sequence information.

Can changes in social contact (frequency and mode) mitigate low mood before and during the COVID-19 pandemic? The I-CONECT project.

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) global outbreak allowed a natural experiment to observe how older adults changed social patterns and how it affected their emotional well-being. We studied the frequency and modes of social contact and their effects on older adults' mood before and during the COVID-19 pandemic. DESIGN: Phone-based surveys were administered weekly before and during the COVID-19 pandemic. SETTING: Participants were recruited from Portland, Oregon, and Detroit, Michigan. PARTICIPANTS: Older adults ≥75 years old (n = 155, age = 81.0 ± 4.5, 72.3% women) were included in a randomized controlled trial, the Internet-Based Conversational Engagement Clinical Trial (I-CONECT). MEASUREMENTS: Low mood was self-reported as feeling downhearted or blue for three or more days in the past week. Social contact was self-reported by the amount of time spent in interactions, with whom (family, friends, others), and via which modes (in-person, phone/video call, text/email/letter). RESULTS: A total of 5525 weeks of data were derived from 155 participants. Before the COVID-19 pandemic, average social interaction time spent in-person, on phone/video call, and via text/email/letter was 406, 141, and 68 min/week, respectively. During the COVID-19 pandemic, time spent in-person was reduced by 135 min/week, while time spent via phone/video call and writing increased by 33 and 26 mins/week, respectively. In-person family contact was associated with less low mood regardless of the pandemic (odds ratio = 0.92, p < 0.05). There was a COVID-19 × text/email/letter with friends interaction (odds ratio = 0.77, p = 0.03), suggesting that during the COVID-19 pandemic, an increase of 1 h of writing with friends per week was associated with a 23% decrease in the likelihood of experiencing low mood. CONCLUSION: The lost in-person time relating to COVID-19 restrictions tended to be partially compensated for with increased calls and writing time, although overall social interaction time decreased. During the COVID-19 pandemic, at least two types of social interactions (writing to friends and in-person family time) showed promise for mitigating low mood for older adults with limited social resources.

Incidence of SARS-CoV-2 Infection, Emergency Department Visits, and Hospitalizations Because of COVID-19 Among Persons Aged ≥12 Years, by COVID-19 Vaccination Status - Oregon and Washington, July 4-September 25, 2021.

Population-based rates of infection with SARS-CoV-2 (the virus that causes COVID-19) and related health care utilization help determine estimates of COVID-19 vaccine effectiveness and averted illnesses, especially since the SARS-CoV-2 B.1.617.2 (Delta) variant began circulating in June 2021. Among members aged ≥12 years of a large integrated health care delivery system in Oregon and Washington, incidence of laboratory-confirmed SARS-CoV-2 infection, emergency department (ED) visits, and hospitalizations were calculated by COVID-19 vaccination status, vaccine product, age, race, and ethnicity. Infection after full vaccination was defined as a positive SARS-CoV-2 molecular test result ≥14 days after completion of an authorized COVID-19 vaccination series.* During the July-September 2021 surveillance period, SARS-CoV-2 infection occurred among 4,146 of 137,616 unvaccinated persons (30.1 per 1,000 persons) and 3,009 of 344,848 fully vaccinated persons (8.7 per 1,000). Incidence was higher among unvaccinated persons than among vaccinated persons across all demographic strata. Unvaccinated persons with SARS-CoV-2 infection were more than twice as likely to receive ED care (18.5%) or to be hospitalized (9.0%) than were vaccinated persons with COVID-19 (8.1% and 3.9%, respectively). The crude mortality rate was also higher among unvaccinated patients (0.43 per 1,000) than in fully vaccinated patients (0.06 per 1,000). These data support CDC recommendations for COVID-19 vaccination, including additional and booster doses, to protect individual persons and communities against COVID-19, including illness and hospitalization caused by the Delta variant (1).

Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning.

The recent outbreak of the COVID-19 led to death of millions of people worldwide. To stave off the spread of the virus, the authorities in the US employed different strategies, including the mask mandate order issued by the states' governors. In the current work, we defined a parameter called average death ratio as the monthly average of the number of daily deaths to the monthly average number of daily cases. We utilized survey data to quantify people's abidance by the mask mandate order. Additionally, we implicitly addressed the extent to which people abide by the mask mandate order, which may depend on some parameters such as population, income, and education level. Using different machine learning classification algorithms, we investigated how the decrease or increase in death ratio for the counties in the US West Coast correlates with the input parameters. The results showed that for the majority of counties, the mask mandate order decreased the death ratio, reflecting the effectiveness of such a preventive measure on the West Coast. Additionally, the changes in the death ratio demonstrated a noticeable correlation with the socio-economic condition of each county. Moreover, the results showed a promising classification accuracy score as high as 90%.

Impact of COVID-19 Among Immigrant and Communities of Color Living with HIV in Oregon, 2020: Two Pandemics Rooted in Racism.

Over 8100 people living with HIV (PLWH) in Oregon are at risk of acquiring COVID-19, and communities of color are disproportionately impacted by both COVID-19 and HIV. This study identifies factors associated with a positive COVID-19 test among PLWH in Oregon, with the goal of promoting health equity. We probabilistically linked COVID-19 laboratory results with laboratory-confirmed HIV cases. Crude and adjusted risk ratios of having a COVID-19 diagnosis were calculated for each covariate. Almost 6% of the 2390 PLWH tested for COVID-19 had a positive COVID-19 result. PLWH with positive results tended to identify as American Indian/Alaska Native or Hispanic/Latinx. Younger (age < 50) immigrant PLWH were more than twice as likely to have a positive COVID-19 result than did older (age ≥ 50) US-born PLWH. The pandemic has magnified disparities among American Indian/Alaska Native, Latinx, and younger immigrant PLWH. Dismantling institutional racism and redistributing power are strategies that could be considered to help reduce health disparities.

Targeted pandemic containment through identifying local contact network bottlenecks.

Decision-making about pandemic mitigation often relies upon simulation modelling. Models of disease transmission through networks of contacts-between individuals or between population centres-are increasingly used for these purposes. Real-world contact networks are rich in structural features that influence infection transmission, such as tightly-knit local communities that are weakly connected to one another. In this paper, we propose a new flow-based edge-betweenness centrality method for detecting bottleneck edges that connect nodes in contact networks. In particular, we utilize convex optimization formulations based on the idea of diffusion with p-norm network flow. Using simulation models of COVID-19 transmission through real network data at both individual and county levels, we demonstrate that targeting bottleneck edges identified by the proposed method reduces the number of infected cases by up to 10% more than state-of-the-art edge-betweenness methods. Furthermore, the proposed method is orders of magnitude faster than existing methods.

Cannabis sales increases during COVID-19: Findings from Alaska, Colorado, Oregon, and Washington.

BACKGROUND AND AIMS: Following emergency declarations related to COVID-19 in the United States, many states issued stay-at-home orders and designated essential business categories. Most states allowed medical and/or non-medical adult-use cannabis retailers to remain open. This study assesses changes in cannabis sales across Alaska, Colorado, Oregon, and Washington before and during the pandemic. METHODS: Pre-tax sales data from cannabis marketplaces in four states were analyzed to identify trends from January 2018-December 2020. Mean monthly sales and relative percent change in mean monthly sales were compared by state from April-December (coinciding with the pandemic) in 2018, 2019, and 2020. Differences were assessed using the nonparametric Mann-Whitney-U test. RESULTS: Mean monthly cannabis sales in all four states were higher during the pandemic period in 2020 compared to the same period in 2019. Sales reached a three-year peak in Washington in May 2020 and in Alaska, Colorado, and Oregon in July 2020. From April-December, the percent change in mean monthly sales from 2019 to 2020 was significantly higher than 2018-2019 in all four states, though Alaska saw similar increases between 2018-2019 and 2019-2020. CONCLUSION: To date, cannabis sales in Alaska, Colorado, Oregon, and Washington have increased more during the COVID-19 pandemic than in the previous two years. In light of these increases, data monitoring by states and CDC is warranted to understand how patterns of use are changing, which populations are demonstrating changes in use, and how such changes may affect substance use and related public health outcomes.