Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study.

BACKGROUND: During the peak of the winter 2020-2021 surge, the number of weekly reported COVID-19 outbreaks in Washington State was 231; the majority occurred in high-priority settings such as workplaces, community settings, and schools. The Washington State Department of Health used automated address matching to identify clusters at health care facilities. No other systematic, statewide outbreak detection methods were in place. This was a gap given the high volume of cases, which delayed investigations and decreased data completeness, potentially leading to undetected outbreaks. We initiated statewide cluster detection using SaTScan, implementing a space-time permutation model to identify COVID-19 clusters for investigation. OBJECTIVE: To improve outbreak detection, the Washington State Department of Health initiated a systematic cluster detection model to identify timely and actionable COVID-19 clusters for local health jurisdiction (LHJ) investigation and resource prioritization. This report details the model's implementation and the assessment of the tool's effectiveness. METHODS: In total, 6 LHJs participated in a pilot to test model parameters including analysis type, geographic aggregation, cluster radius, and data lag. Parameters were determined through heuristic criteria to detect clusters early when they are smaller, making interventions more feasible. This study reviews all clusters detected after statewide implementation from July 17 to December 17, 2021. The clusters were analyzed by LHJ population and disease incidence. Clusters were compared with reported outbreaks. RESULTS: A weekly, LHJ-specific retrospective space-time permutation model identified 2874 new clusters during this period. While the weekly analysis included case data from the prior 3 weeks, 58.25% (n=1674) of all clusters identified were timely-having occurred within 1 week of the analysis and early enough for intervention to prevent further transmission. There were 2874 reported outbreaks during this same period. Of those, 363 (12.63%) matched to at least one SaTScan cluster. The most frequent settings among reported and matched outbreaks were schools and youth programs (n=825, 28.71% and n=108, 29.8%), workplaces (n=617, 21.46% and n=56, 15%), and long-term care facilities (n=541, 18.82% and n=99, 27.3%). Settings with the highest percentage of clusters that matched outbreaks were community settings (16/72, 22%) and congregate housing (44/212, 20.8%). The model identified approximately one-third (119/363, 32.8%) of matched outbreaks before cases were associated with the outbreak event in our surveillance system. CONCLUSIONS: Our goal was to routinely and systematically identify timely and actionable COVID-19 clusters statewide. Regardless of population or incidence, the model identified reasonably sized, timely clusters statewide, meeting the objective. Among some high-priority settings subject to public health interventions throughout the pandemic, such as schools and community settings, the model identified clusters that were matched to reported outbreaks. In workplaces, another high-priority setting, results suggest the model might be able to identify outbreaks sooner than existing outbreak detection methods.

Trends in Driving Under the Influence of Alcohol and Cannabis Among Young Adults in Washington State From Before to During the COVID-19 Pandemic.

Objectives. To examine trends in young adult self-reported driving under the influence of alcohol (DUI-A), cannabis (DUI-C), and simultaneous alcohol and cannabis use (DUI-AC) in a state with legalized nonmedical cannabis use from before to during the COVID-19 pandemic. Methods. We used logistic regression and annual statewide data from the Washington Young Adult Health Survey to assess DUI behaviors from 2016 to 2021. Results. Both prepandemic yearly changes in prevalence and deviations from those trends during the pandemic years were small and not statistically significant. However, prevalence estimates were alarming: 12.0% of participants reported DUI-A, 12.5% reported DUI-C, and 2.7% reported DUI-AC. Exploratory moderation analyses indicated a relative increase in DUI-A during 2020 among 4-year college students relative to young adults not attending 4-year colleges. Conclusions. Young adults in Washington State continued to engage in risky DUI behaviors during the pandemic. College students may have increased their likelihood of DUI-A during COVID-19. Public Health Implications. Young adults, for whom vehicle crashes remain a leading cause of death, showed little change in DUI behaviors during the COVID-19 pandemic. There is continued need for young adult DUI prevention efforts. (Am J Public Health. 2024;114(S8):S698-S701. https://doi.org/10.2105/AJPH.2024.307767).

Clinical and Genomic Epidemiology of Coxsackievirus A21 and Enterovirus D68 in Homeless Shelters, King County, Washington, USA, 2019-2021.

Congregate homeless shelters are disproportionately affected by infectious disease outbreaks. We describe enterovirus epidemiology across 23 adult and family shelters in King County, Washington, USA, during October 2019-May 2021, by using repeated cross-sectional respiratory illness and environmental surveillance and viral genome sequencing. Among 3,281 participants >3 months of age, we identified coxsackievirus A21 (CVA21) in 39 adult residents (3.0% [95% CI 1.9%-4.8%] detection) across 7 shelters during October 2019-February 2020. We identified enterovirus D68 (EV-D68) in 5 adult residents in 2 shelters during October-November 2019. Of 812 environmental samples, 1 was EV-D68-positive and 5 were CVA21-positive. Other enteroviruses detected among residents, but not in environmental samples, included coxsackievirus A6/A4 in 3 children. No enteroviruses were detected during April 2020-May 2021. Phylogenetically clustered CVA21 and EV-D68 cases occurred in some shelters. Some shelters also hosted multiple CVA21 lineages.

Incidence of Hospitalizations Involving Alcohol Withdrawal Syndrome in a Primary Care Population.

Importance: Alcohol withdrawal syndrome (AWS) is an important cause and complication of hospitalizations. Although common and preventable, the incidence of AWS during hospitalizations is poorly described. Objective: To evaluate the incidence and proportional incidence of hospitalizations involving AWS in an adult primary care population overall and across patient characteristics. Design, Setting, and Participants: This retrospective cohort study used electronic health records and insurance claims from Kaiser Permanente Washington (KPWA) between July 1, 2018, and June 30, 2022. The study included adults with 1 or more primary care visits during this period or the year prior, where primary care included annual standardized alcohol screening using the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C). Exposures: Age, sex, race, Hispanic ethnicity, AUDIT-C scores, and comorbid diagnoses. Main Outcome and Measures: Hospitalizations involving AWS were defined by diagnosis codes documented during hospitalizations (incidence numerator). Time enrolled in KPWA determined person-enrolled-years (incidence denominator). Proportional incidence was calculated as the incidence of hospitalizations involving AWS divided by the incidence of all-cause hospitalizations. Proportional incidence was also estimated for hospitalizations involving other common chronic conditions (chronic obstructive pulmonary disease, diabetes, heart failure, and hypertension), which were also defined using hospital diagnosis codes. Results: Among 544 825 adults engaged in primary care (mean [SD] age, 47.0 [17.9] years; 310 069 [56.9%] female; 3656 [0.7%] American Indian or Alaska Native, 55 206 [10.1%] Asian, 25 406 [4.7%] Black, 5204 [1.0%] Native Hawaiian or Other Pacific Islander, 365 780 [67.1%] White, 19 791 [3.6%] multiracial, 15 963 [2.9%] other races, and 53 819 [9.9%] unknown race; 33 987 [6.2%] Hispanic, 414 269 [76.0%] not Hispanic, and 96 569 [17.7%] unknown ethnicity), incidence of hospitalizations involving AWS was 169 (95% CI, 159-179) per 100 000 person-enrolled-years overall but as high as 15 347 (95% CI, 13 502-17 331) in patients with other alcohol-attributable diagnoses. The proportional incidence of hospitalizations involving AWS was 2.3% overall, with variation by age, sex, and AUDIT-C scores (eg, 9%-11% in male patients aged 30-49 years and 23%-44% in patients with high-risk AUDIT-C scores of 7-12 points). In most cases, among adults younger than 60 years, proportional incidence of hospitalizations involving AWS matched or surpassed that of other common chronic conditions (chronic obstructive pulmonary disease, diabetes, heart failure, and hypertension). Conclusions and Relevance: In this cohort study of a large primary care population served by an integrated health system, AWS hospitalizations were common, especially in male patients, younger age groups, and individuals with high-risk alcohol use. During hospitalizations, the burden of AWS was similar to or exceeded complications of other chronic diseases that receive greater medical attention.

Wastewater surveillance for antibiotic resistance genes during the late 2020 SARS-CoV-2 peak in two different populations.

The United States Centers for Disease Control and Prevention reported a rise in resistant infections after the coronavirus disease 2019 (COVID-19) pandemic started. How and if the pandemic contributed to antibiotic resistance in the larger population is not well understood. Wastewater treatment plants are good locations for environmental surveillance because they can sample entire populations. This study aimed to validate methods used for COVID-19 wastewater surveillance for bacterial targets and to understand how rising COVID-19 cases from October 2020 to February 2021 in Portugal (PT) and King County, Washington contributed to antibiotic resistance genes in wastewater. Primary influent wastewater was collected from two treatment plants in King County and five treatment plants in PT, and hospital effluent was collected from three hospitals in PT. Genomic extracts were tested with the quantitative polymerase chain reaction for antibiotic resistance genes conferring resistance against antibiotics under threat. Random-effect models were fit for log-transformed gene abundances to assess temporal trends. All samples collected tested positive for multiple resistance genes. During the sampling period, mecA statistically significantly increased in King County and PT. No statistical evidence exists of correlation between samples collected in the same Portuguese metro area.

Deaths Related to Domestic Violence in Washington State.

Importance: Domestic violence (DV; including intimate partner and family violence) is associated with heightened lethality risks, yet limited research has comprehensively assessed the connection between DV and fatal violence considering both homicides and suicides. Understanding the fatal consequences of DV can point to missed opportunities to support individuals and their families. Objective: To assess the proportion of violent deaths that were connected to DV and describe contacts with the legal system or social services prior to each DV-related fatality. Design, Setting, and Participants: This cross-sectional study used quantitative and qualitative data from the National Violent Death Reporting System (NVDRS) for all individuals who died by homicide or suicide in Washington from January 1, 2015, to December 31, 2020. Analyses were conducted from August 1, 2022, to September 30, 2023. Main Outcomes and Measures: A multipronged approach was used to assess DV history using existing NVDRS variables, leveraging data from prior review of NVDRS death narratives, applying a validated natural language processing tool, and linking related deaths. Domestic violence was recorded as yes or no, but the decedent's role in the abusive relationship (ie, experiencing or enacting DV) could not be differentiated. To describe system involvement prior to each death, keyword searching and hand review of NVDRS death narratives were used. Results: A total of 7352 intentional violent deaths (1192 homicides [16.2%]; 6160 suicides [83.8%]) with known circumstances were recorded in Washington during the study period. Of these, 948 deaths (12.9%) were connected to DV (624 [65.8%] among males; mean [SD] age at death, 45.3 [19.2] years), including 588 suicides (62.0%) and 360 homicides (38.0%). For 420 DV-related deaths (44.3%), there was evidence to suggest that the person who died or their intimate partner(s), family, or cohabitants had prior contacts with the legal system or social services. Specifically, 318 records (33.5%) mentioned prior contacts with law enforcement or the criminal legal system (eg, prior 9-1-1 calls, criminal convictions), and 225 (23.7%) described engagement with social services or the civil legal system (eg, civil protection order, divorce, or child custody problems). Conclusions and Relevance: In this cross-sectional study, 12.9% of violent deaths in Washington were connected to DV. The findings suggest that more resources are needed to support law enforcement, court professionals, and social services specialists to proactively identify and refer families to wraparound supports before the situation can escalate to a fatality.

Emergency department visits for heat-related illness among workers: Occupational health surveillance using Washington syndromic surveillance data.

BACKGROUND: Information on worker occupation and industry is critical to understanding the occupational risks of heat-related illness (HRI), yet few syndromic surveillance systems capture these key data elements. This study evaluates the work data reported through Washington syndromic surveillance for its utility in characterizing HRI ED visits by industry and occupation. METHODS: Standard industry and occupation codes were assigned to employer name and occupation descriptions reported in Washington ED visit records maintained within the state's syndromic surveillance system, for visits involving HRI in 2020-2022. HRI ED visits involving workplace heat exposure were identified based on discharge diagnoses or on keywords in the triage note or chief complaint fields. HRI ED visits were summarized by patient characteristics, and visit rates were calculated by industry and occupation. RESULTS: Employer name or occupation descriptions were reported in 21.5% of HRI ED records among patients age 16 and older, and in 41.2% of records with mention of heat exposure at work. Twice as many records were classified for industry as for occupation. Agriculture, forestry, fishing, and hunting and transportation and warehousing had the highest rates of HRI ED visits. Specific industries with the highest rates included support activities for agriculture and forestry, the postal service, and fruit and vegetable preserving and specialty food manufacturing. CONCLUSION: Syndromic surveillance data are a valuable source of occupational health surveillance information when work characteristics are reported, enhancing our understanding of the occupational risks of injuries and illnesses.

Opioid-related mortality after occupational injury in Washington State: accounting for preinjury opioid use.

OBJECTIVES: To estimate the impact of occupational injury and illness on opioid-related mortality while accounting for confounding by preinjury opioid use. METHODS: We employed a retrospective cohort study design using Washington State workers' compensation data for 1994-2000 injuries linked to US Social Security Administration earnings and mortality data and National Death Index (NDI) cause of death data from 1994 to 2018. We categorised injuries as lost-time versus medical-only, where the former involved more than 3 days off work or permanent disability. We determined death status and cause of death from NDI records. We modelled separate Fine and Gray subdistribution hazard ratios (sHRs) and 95% CIs for injured men and women for opioid-related and all drug-related mortality through 2018. We used quantitative bias analysis to account for unmeasured confounding by preinjury opioid use. RESULTS: The hazard of opioid-related mortality was elevated for workers with lost-time relative to medical-only injuries: sHR for men: 1.53, 95% CI 1.41 to 1.66; for women: 1.31, 95% CI 1.16 to 1.48. Accounting for preinjury opioid use, effect sizes were reduced but remained elevated: sHR for men was 1.43, 95% simulation interval (SI) 1.20 to 1.69; for women: 1.27, 95% SI 1.10 to 1.45. CONCLUSIONS: Occupational injuries and illnesses severe enough to require more than 3 days off work are associated with an increase in the hazard of opioid-related mortality. The estimated increase is reduced when we account for preinjury opioid use, but it remains substantial. Reducing work-related injuries and postinjury opioid prescribing and improving employment and income security may decrease opioid-related mortality.

Buprenorphine discontinuation in telehealth-only treatment for opioid use disorder: A longitudinal cohort analysis.

INTRODUCTION: At the beginning of the COVID-19 pandemic, federal agencies permitted telehealth initiation of buprenorphine treatment for opioid use disorder (OUD) without in-person assessment. It remains unclear how telehealth-only buprenorphine treatment impacts time to discontinuation and patient reported treatment outcomes. METHODS: A longitudinal observational cohort study conducted September 2021 through March, 2023 enrolled participants with OUD initiating buprenorphine (≤ 45 days) with internet and phone access in Oregon and Washington. The intervention was a fully telehealth-only (THO) app versus treatment as usual (TAU) in office-based settings with some telehealth. We assessed self-reported buprenorphine discontinuation at 4-,12-, and 24-weeks. Generalized estimating equations (GEE) calculated unadjusted and adjusted relative risk ratios (RR) for discontinuation averaged over the study period. Secondary outcomes included change in the Brief Addiction Monitor (BAM) and the visual analogue craving scale. Generalized linear models estimated average within-group and between-group differences over time. RESULTS: Participants (n = 103 THO; n = 56 TAU) had a mean age of 37 years (SD = 9.8 years) and included 52 % women, 83 % with Medicaid insurance, 80 % identified as White, 65 % unemployed/student, and 19 % unhoused. There were differences in gender (THO = 54 % women vs. TAU = 44 %, p = .04), unemployed status (60 % vs 75 %, p = .02), and stable housing (84 % vs 73 %, p = .02). Rates of buprenorphine discontinuation were low in the THO (4 %) and TAU (13 %) groups across 24 weeks. In the adjusted analysis, the risk of discontinuation was 61 % lower in the THO group (aRR = 0.39, 95 % CI [0.17, 0.89], p = .026). Decreases occurred over time on the harms subscale of the BAM (within-group difference - 0.85, p = .0004 [THO], and - 0.68, p = .04 [TAU]) and cravings (within-group difference - 13.47, p = .0001 [THO] vs -7.65, p = .01 [TAU]). CONCLUSIONS: A telehealth-only platform reduced the risk of buprenorphine discontinuation compared to office-based TAU. In-person evaluation to receive buprenorphine may not be necessary for treatment-seeking patients. CLINICAL TRIALS IDENTIFIER: NCT03224858.

"I probably shouldn't go in today": Inequitable access to paid sick leave and its impacts on health behaviors during the emergence of COVID-19 in the Seattle area.

This study examines inequities in access to paid sick leave (PSL) by race/ethnicity, income, and sex and the role of PSL access on leave-taking and care-seeking behaviors among Seattle-area workers in the months leading up to and during the emergence of COVID-19 in the region. Survey responses were collected online and in-person from individuals experiencing acute respiratory illness symptoms between November 2019 and March 2020 as part of a community-based respiratory viral surveillance study. Chi-square tests and log-binomial models were used to assess the association between PSL access and various socioeconomic indicators. A total of 66.6% (n = 2,276) respondents reported access to PSL. Proportionally, access to PSL was highest in respondents identifying as Asian (70.5%), followed by White (68.7%), Latine (58.4%), Multiracial (57.1%), Black (47.1%), and Other (43.1%). Access to PSL increased with household income. Eighty three percent of high-income respondents reported access compared to 52.9% of low-income households. Only 23.3% of the lowest-income households reported access to PSL. Fewer females (65.2%) than males (70.7%) reported access to PSL. Access to PSL is inequitably distributed across income, race/ethnicity, and sex. This study reinforces the vast body of knowledge on how socioeconomic inequalities increase individual and community-level vulnerability to the impacts of infectious disease outbreaks. It also supports the role of labor and economic policy in mitigating (or exacerbating) these impacts. Exemplified by the COVID-19 pandemic, universal access to PSL, especially for marginalized populations, benefits all.

Evaluation of the effectiveness of Washington State's digital COVID-19 exposure notification system over one pandemic year.

Introduction: Digital exposure notifications are a novel public health intervention used during the COVID-19 pandemic to alert users of possible COVID-19 exposure. We seek to quantify the effectiveness of Washington State's digital exposure notification system, WA Notify, as measured by the number of COVID-19 cases averted during a 1-year period. Methods: While maintaining individuals' privacy, WA Notify collected data that could be used to evaluate the system's effectiveness. This article uses these and other data and builds on a previous model to estimate the number of cases averted by WA Notify. Novel estimates of some model parameters are possible because of improvements in the quality and breadth of data reported by WA Notify. Results: We estimate that WA Notify averted 64,000 (sensitivity analysis: 35,000-92,000) COVID-19 cases in Washington State during the study period from 1 March 2021 to 28 February 2022. During this period, there were an estimated 1,089,000 exposure notifications generated and 155,000 cases reported to WA Notify. During the last 78 days of the study period, the median estimated number of daily active users was 1,740,000. Discussion: We believe WA Notify reduced the impact of the COVID-19 pandemic in Washington State and that similar systems could reduce the impact of future communicable disease outbreaks.

Antitrans Policy Environment and Depression and Anxiety Symptoms in Transgender and Nonbinary Adults.

Importance: With the increasing legislation restricting health care access for transgender and nonbinary (trans) populations in recent years, there has been limited research on how awareness of and concerns about legislative restrictions and protections influence mental health outcomes. Objective: To examine whether awareness of and concerns about the current policy environment regarding trans individuals are associated with depression and anxiety symptoms among trans adults. Design, Setting, and Participants: This study uses cross-sectional data collected between March and April 2023 from the Washington Priority Assessment in Trans Health (PATH) Project, an online study designed by, with, and for trans communities. All participants were trans adults, aged 18 years or older, living in Washington state. Exposure: Awareness and concerns about the antitrans policy environment. Main Outcomes and Measures: The primary outcomes were depression and anxiety symptoms, assessed via the Patient Health Questionnaire-4. A series of multivariable regression models was used to assess the association between awareness and concerns about the antitrans policy environment and depression and anxiety symptoms. Models were adjusted for covariates, including demographics, social marginalization, and health care experiences. Results: A total of 797 participants (653 women [81.93%]; 455 aged 18-29 years [57.09%]) were included. The majority screened positive for current depression (689 individuals [86.45%]) and anxiety (686 individuals [86.07%]) symptoms. Trans individuals who were concerned or worried about their rights being taken away (vs not) had significantly higher odds of current depression symptoms (adjusted odds ratio [aOR], 1.66; 95% CI, 1.08-2.54), as well as current anxiety symptoms (aOR, 2.67; 95% CI, 1.63-4.36). Those who knew (vs did not know) about state-level protective legislation had significantly lower odds of current depression symptoms (aOR, 0.44; 95% CI, 0.28-0.67), as well as current anxiety symptoms (aOR, 0.11; 95% CI, 0.04-0.25). When examining interaction effect estimates, trans individuals who correctly knew about the protective policies and were not worried about having their rights taken away reported the lowest odds of depression and anxiety. Conclusions and Relevance: The findings of this cross-sectional study are consistent with research elucidating the negative mental health consequences of policies limiting health care access and provide insights into informing policies and interventions that target trans populations' worsened mental health outcomes as a result of antitrans legislation.

Provider reported implementation barriers to hepatitis C elimination in Washington State.

BACKGROUND: Despite curative treatment options since 2014, only 12% of individuals in Washington State diagnosed with Hepatitis C (HCV) received treatment in 2018. Washington State agencies launched an elimination plan in 2019 to promote access to and delivery of HCV screening and treatment. The purpose of this study is to evaluate provider and health system barriers to successful implementation of HCV screening and treatment across Washington State. METHODS: This is a cross-sectional online survey of 547 physicians, nurse practitioners, physician assistants, and clinical pharmacists who provide care to adult patients in Washington State conducted in 2022. Providers were eligible if they worked in a primary care, infectious disease, gastroenterology, or community health settings. Questions assessed HCV screening and treating practices, implementation barriers, provider knowledge, observed stigma, and willingness to co-manage HCV and substance use disorder. Chi-squared or fishers exact tests compared characteristics of those who did and did not screen or treat. RESULTS: Provider adoption of screening for HCV was high across the state (96%), with minimal barriers identified. Fewer providers reported treating HCV themselves (28%); most (71%) referred their patients to another provider. Barriers identified by those not treating HCV included knowledge deficit (64%) and lack of organizational support (24%). The barrier most identified in those treating HCV was a lack of treating clinicians (18%). There were few (< 10%) reports of observed stigma in settings of HCV treatment. Most clinicians (95%) were willing to prescribe medication for substance use disorders to those that were using drugs including alcohol. CONCLUSION: Despite widespread screening efforts, there remain barriers to implementing HCV treatment in Washington State. Lack of treating clinicians and clinician knowledge deficit were the most frequently identified barriers to treating HCV. To achieve elimination of HCV by 2030, there is a need to grow and educate the clinician workforce treating HCV.

Impact of the COVID-19 Pandemic on the State Enteric Disease Public Health Workforce in the Western United States, March-April 2022.

OBJECTIVE: To assess the impact of the COVID-19 pandemic on the state-level enteric disease workforce and routine enteric disease surveillance and outbreak investigation activities in the western United States. DESIGN AND SETTING: Key informant interviews conducted using bidirectional video from March to April 2022. PARTICIPANTS: Enteric disease epidemiologists at state public health agencies in the western states served by the Colorado and Washington Integrated Food Safety Centers of Excellence. MAIN OUTCOMES: Key themes were identified using grounded theory. RESULTS: Nine themes were identified including excessive workload, shifts in local and state responsibilities, challenges with retention and hiring, importance of student teams, laboratory supplies shortages, changes to case and outbreak investigation priorities, transitioning back to enterics, adoption of new methods and technology, and current and future needs. CONCLUSIONS: The COVID-19 pandemic response had a substantial impact on state-level enteric disease activities in western states, with many staff members diverted from routine responsibilities and a de-prioritization of enteric disease work. There is a need for sustainable solutions to address staffing shortages, prioritize employee mental health, and effectively manage routine workloads when responding to emergencies.

Beyond the surface: Exploring the temporally stable factors influencing injury severities in large-truck crashes using mixed logit models.

An analysis of crash data spanning four years (January 1, 2015, to December 31, 2018) from the State of Washington is conducted to investigate factors influencing injury severity outcomes in large truck-involved crashes. The study utilizes a mixed logit model that accounts for unobserved heterogeneity to capture the variation influenced by other variables. Transferability and temporal stability across the years are assessed using the likelihood ratio test. A wide range of attributes, including driver characteristics, vehicle features, crash-related attributes, roadway conditions, environmental factors, and temporal elements, are considered. Despite a significant temporal instability warranted by the likelihood ratio test across the years, twenty-one parameters consistently exhibit stable effects on injury severity over the years of which thirteen are new. The identified stable parameters included over speeding, following too closely, falling asleep, missing/ faulty airbags, head-on collisions, crashes involving two or more than three vehicles, rear-end collisions, lane width, low-light conditions, sag curves, New Jersey barriers, snowy weather, and morning hours. The temporally stable factors affecting injury severities in large truck crashes are crucial in developing the needed to address these crashes. The findings of this study offer valuable insights for researchers, stakeholders in the trucking industry, and policymakers, empowering them to develop targeted policies that not only improve traffic safety but also alleviate associated economic losses.

Harnessing the power of infection prevention and public health data systems to support health care in Washington State during the COVID-19 pandemic.

BACKGROUND: State health departments' (SHD) role in infection prevention and control (IPC) includes robust educational and consultative services for various health care settings. During the COVID-19 pandemic, Washington-SHD (W-SHD) IPC staff conducted remote and on-site Infection Control Assessment and Response (ICAR) consultations for long-term care (LTC) and non-LTC health care facilities. METHODS: ICAR consultations were classified as "reactive" in response to a COVID-19 outbreak or "proactive" to help facilities improve IPC protocols. Facility addresses were geocoded to census tracks, classifying urban or rural areas. Facility types and characteristics were analyzed, assessing the impacts of repeat visits. All descriptive statistics, Pearson's χ2 tests, and odds ratios were calculated. RESULTS: Between March 2020 and December 2022, W-SHD conducted 3,093 ICARs at 1,703 health care facilities in 94.9% (37/39) of Washington counties. Of the total visits, most were in LTC (90.5%) and 48.9% were reactive. Facilities with initial on-site ICARs had 1.5 times the odds of having a repeat visit than facilities with initial remote visit (95% CI: 1.21, 1.87). DISCUSSION: Maintaining strong connections with health care facilities can help bolster infection prevention practices and minimize loss of information at the facility level. CONCLUSIONS: Evidence-based findings on the sustainability of the W-SHD's ICAR services during the COVID-19 pandemic illustrated the value of public health IPC programs.

Gardnerella Species and Their Association With Bacterial Vaginosis.

BACKGROUND: Bacterial vaginosis (BV) is a condition marked by high vaginal bacterial diversity. Gardnerella vaginalis has been implicated in BV but is also detected in healthy women. The Gardnerella genus has been expanded to encompass 6 validly named species and several genomospecies. We hypothesized that particular Gardnerella species may be more associated with BV. METHODS: Quantitative polymerase chain reaction (PCR) assays were developed targeting the cpn60 gene of species groups including G. vaginalis, G. piotii/pickettii, G. swidsinskii/greenwoodii, and G. leopoldii. These assays were applied to vaginal swabs from individuals with (n = 101) and without BV (n = 150) attending a sexual health clinic in Seattle, Washington. Weekly swabs were collected from 42 participants for up to 12 weeks. RESULTS: Concentrations and prevalence of each Gardnerella species group were significantly higher in participants with BV; 91.1% of BV-positive participants had 3 or more Gardnerella species groups detected compared to 32.0% of BV-negative participants (P < .0001). BV-negative participants with 3 or more species groups detected were more likely to develop BV within 100 days versus those with fewer (60.5% vs 3.7%, P < .0001). CONCLUSIONS: These results suggest that BV reflects a state of high Gardnerella species diversity. No Gardnerella species group was a specific marker for BV.

How Generalizable Are Findings from a Community-Based Prospective Cohort Study? Extending Estimates from the Adult Changes in Thought Study to Its Source Population.

Background: The Adult Changes in Thought (ACT) study is a cohort of Kaiser Permanente Washington members ages 65+ that began in 1994. Objective: We wanted to know how well ACT participants represented all older adults in the region, and how well ACT findings on eye disease and its relationship with Alzheimer's disease generalized to all older adults in the Seattle Metropolitan Region. Methods: We used participation weights derived from pooling ACT and Behavioral Risk Factor Surveillance System (BRFSS) data to estimate prevalences of common eye diseases and their associations with Alzheimer's disease incidence. Cox proportional hazards models accounted for age, education, smoking, sex, and APOE genotype. Confidence intervals for weighted analyses were bootstrapped to account for error in estimating the weights. Results: ACT participants were fairly similar to older adults in the region. The largest differences were more self-reported current cholesterol medication use in BRFSS and higher proportions with low education in ACT. Incorporating the weights had little impact on prevalence estimates for age-related macular degeneration or glaucoma. Weighted estimates were slightly higher for diabetic retinopathy (weighted 5.7% (95% Confidence Interval 4.3, 7.1); unweighted 4.1% (3.6, 4.6)) and cataract history (weighted 51.8% (49.6, 54.3); unweighted 48.6% (47.3, 49.9)). The weighted hazard ratio for recent diabetic retinopathy diagnosis and Alzheimer's disease was 1.84 (0.34, 4.29), versus 1.32 (0.87, 2.00) in unweighted ACT. Conclusions: Most, but not all, associations were similar after participation weighting. Even in community-based cohorts, extending inferences to broader populations may benefit from evaluation with participation weights.

Kidney Outcomes and Trajectories of Tubular Injury and Function in Critically Ill Patients With and Without COVID-19.

IMPORTANCE: COVID-19 may injure the kidney tubules via activation of inflammatory host responses and/or direct viral infiltration. Most studies of kidney injury in COVID-19 lacked contemporaneous controls or measured kidney biomarkers at a single time point. OBJECTIVES: To better understand mechanisms of acute kidney injury in COVID-19, we compared kidney outcomes and trajectories of tubular injury, viability, and function in prospectively enrolled critically ill adults with and without COVID-19. DESIGN, SETTING, AND PARTICIPANTS: The COVID-19 Host Response and Outcomes study prospectively enrolled patients admitted to ICUs in Washington State with symptoms of lower respiratory tract infection, determining COVID-19 status by nucleic acid amplification on arrival. MAIN OUTCOMES AND MEASURES: We evaluated major adverse kidney events (MAKE) defined as a doubling of serum creatinine, kidney replacement therapy, or death, in 330 patients after inverse probability weighting. In the 181 patients with available biosamples, we determined trajectories of urine kidney injury molecule-1 (KIM-1) and epithelial growth factor (EGF), and urine:plasma ratios of endogenous markers of tubular secretory clearance. RESULTS: At ICU admission, the mean age was 55 ± 16 years; 45% required mechanical ventilation; and the mean serum creatinine concentration was 1.1 mg/dL. COVID-19 was associated with a 70% greater occurrence of MAKE (relative risk 1.70; 95% CI, 1.05-2.74) and a 741% greater occurrence of KRT (relative risk 7.41; 95% CI, 1.69-32.41). The biomarker cohort had a median of three follow-up measurements. Urine EGF, secretory clearance ratios, and estimated glomerular filtration rate (eGFR) increased over time in the COVID-19 negative group but remained unchanged in the COVID-19 positive group. In contrast, urine KIM-1 concentrations did not significantly change over the course of the study in either group. CONCLUSIONS: Among critically ill adults, COVID-19 is associated with a more protracted course of proximal tubular dysfunction and reduced eGFR despite similar degrees of kidney injury.