Cytauxzoonosis in Indiana, USA: a case series of cats infected with Cytauxzoon felis (2018-2022).

CASE SERIES SUMMARY: This case series describes six cases involving seven cats naturally infected with Cytauxzoon felis in Indiana, USA. Medical records were retrospectively reviewed and all available information on signalment, history, clinical and diagnostic findings, treatment, outcome and pathology was reported. Cats infected with C felis were domestic shorthairs, were aged between 2 and 9 years and all but one of the cats were male. The seven infected cats originated from five counties in southwestern Indiana. Six of seven cats were found to have acute cytauxzoonosis based on clinical signs, gross pathologic lesions, observation of C felis in tissues and/or detection of C felis DNA. One cat was identified as a subclinical survivor cat with no known clinical history of cytauxzoonosis. RELEVANCE AND NOVEL INFORMATION: The reported cases are the first confirmed reports of acute and chronic cytauxzoonosis in cats from Indiana and document an expansion in the range of C felis. Veterinary practitioners in Indiana should consider infection with C felis as a differential diagnosis for cats that present with fever, inappetence, lethargy, depression, dehydration, dyspnea, hemolytic crisis, anorexia or icterus. Administration of approved acaricides to cats currently offers the best protection and control against C felis infection.

The influence of rurality on melanoma diagnosis in Indiana: A retrospective cohort study.

BACKGROUND: Research from across the United States has shown that rurality is associated with worse melanoma outcomes. In Indiana, nearly a quarter of all residents live in rural counties and an estimated 2180 cases of melanoma will be diagnosed in 2023. AIMS: This study examines how geographical location affects the stage of melanoma diagnosis in Indiana, aiming to identify and address rural health disparities to ultimately ensure equitable care. METHODS AND RESULTS: Demographics and disease characteristics of patients diagnosed with melanoma at Indiana University Health from January 2017 to September 2022 were compared using Students t-tests, Wilcoxon tests, chi-squared or Fisher's exact tests. Patients from rural areas presented with more pathological stage T3 melanomas (15.0% vs. 3.5%, p < 0.001) in contrast to their urban counterparts. Additionally, rural patients presented with fewer clinical stage I melanomas (80.8% vs. 89.3%) and more clinical stage II melanomas (19.2% vs. 8.1%), compared to urban patients, with no stage III (p = 0.028). Concerningly, a significantly higher percentage of the rural group (40.7%) had a personal history of BCC compared to the urban group (22.6%) (p = 0.005) and fewer rural patients (78.0%) compared to urban patients (89.4%) received surgical treatment (p = 0.016). CONCLUSION: Patients from rural counties in Indiana have higher pathological and clinical stage melanoma at diagnosis compared to patients from urban counties. Additionally fewer rural patients receive surgical treatment and may be at higher risk of developing subsequent melanomas.

Characterizing participants who respond to text, email, phone calls, or postcards in a SARS-CoV-2 prevalence study.

INTRODUCTION: Multiple modalities and frequencies of contact are needed to maximize recruitment in many public health surveys. The purpose of this analysis is to characterize respondents to a statewide SARS-CoV-2 testing study whose participation followed either postcard, phone outreach or electronic means of invitation. In addition, we examine how participant characteristics differ based upon the number of contacts needed to elicit participation. METHODS: This is a cross-sectional analysis of survey data collected from participants who were randomly selected to represent Indiana residents and were invited to be tested for Covid-19 in April 2020. Participants received invitations via postcard, text/emails, and/or robocalls/texts based upon available contact information. The modality, and frequency of contacts, that prompted participation was determined by when the notification was sent and when the participant responded and subsequently registered to participate in the study. Chi square analyses were used to determine differences between groups and significant findings were analyzed using multinomial logistic regression. RESULTS: Respondents included 3,658 individuals and were stratified by postcards (7.9%), text/emails (26.5%), and robocalls/text (65.7%) with 19.7% registering after 1 contact, 47.9% after 2 contacts, and 32.4% after 3 contacts encouraging participation. Females made up 54.6% of the sample and responded at a higher rate for postcards (8.2% vs. 7.5%) and text/emails (28.1 vs. 24.6%) as compared to males (χ2 = 7.43, p = 0.025). Compared to males, females responded at a higher percentage after 1 contact (21.4 vs. 17.9%, χ2 = 7.6, p = 0.023). Those over 60 years responded most often after 2 contacts (χ2 = 27.5, p < 0.001) when compared to others at younger age groups. In regression analysis, participant sex (p = 0.036) age (p = 0.005), educational attainment (p = < 0.0001), and being motivated by "free testing" (p = 0.036) were correlated with participation in the prevalence study. DISCUSSION: Researchers should be aware that the modality of contact as well as the number of prompts used could influence differential participation in public health studies. Our findings can inform researchers developing studies that rely on selective participation by study subjects. We explore how to increase participation within targeted demographic groups using specific modalities and examining frequency of contact.

Infectious Disease Preparedness for Homeless Populations: Recommendations from a Community-Academic Partnership.

BACKGROUND: People experiencing homelessness are at increased risk of infectious disease transmission due to congregate living conditions, barriers to healthcare, and excess burden of underlying chronic disease. OBJECTIVES: We are a multisectoral community-academic partnership working to address the intersecting crises of homelessness and health disparities in Tippecanoe County, Indiana. We offer key recommendations for infectious disease preparedness and risk mitigation for homeless populations based on our ongoing community-based participatory research and lessons learned through COVID-19 response and Monkeypox preparations. LESSONS LEARNED: Infectious disease preparedness and response in homeless populations requires strong local partnerships; ongoing training and support for staff and volunteers of homeless shelters and service agencies; tailored outreach, education, and communication with people experiencing homelessness; and standardized processes for creating, disseminating, enforcing, and evaluating public health policies in homeless shelters. Consistency and open communication are key to a successful community-academic partnership. CONCLUSIONS: Community-academic partnerships are critical to effective infectious disease preparedness in homeless populations. The lessons learned from community-based participatory research with homeless communities and multisectoral partners on the frontline can improve future outbreak and pandemic response for people experiencing homelessness and other vulnerable communities in the United States.

County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022.

Objectives. To assess COVID-19 and influenza vaccination rates across Indiana's 92 counties and identify county-level factors associated with vaccination. Methods. We analyzed county-level data on adult COVID-19 vaccination from the Indiana vaccine registry and 2021 adult influenza vaccination from the Centers for Disease Control and Prevention. We used multiple linear regression (MLR) to determine county-level predictors of vaccinations. Results. COVID-19 vaccination ranged from 31.2% to 87.6% (mean = 58.0%); influenza vaccination ranged from 33.7% to 53.1% (mean = 42.9%). In MLR, COVID-19 vaccination was significantly associated with primary care providers per capita (b = 0.04; 95% confidence interval [CI] = 0.02, 0.05), median household income (b = 0.23; 95% CI = 0.12, 0.34), percentage Medicare enrollees with a mammogram (b = 0.29; 95% CI = 0.08, 0.51), percentage uninsured (b = -1.22; 95% CI = -1.57, -0.87), percentage African American (b = 0.31; 95% CI = 0.19, 0.42), percentage female (b = -0.97; 95% CI = -1.79, ‒0.15), and percentage who smoke (b = -0.75; 95% CI = -1.26, -0.23). Influenza vaccination was significantly associated with percentage uninsured (b = 0.71; 95% CI = 0.22, 1.21), percentage African American (b = -0.07; 95% CI = -0.13, -0.01), percentage Hispanic (b = -0.28; 95% CI = -0.40, -0.17), percentage who smoke (b = -0.85; 95% CI = -1.06, -0.64), and percentage who completed high school (b = 0.54; 95% CI = 0.21, 0.87). The MLR models explained 86.7% (COVID-19) and 70.2% (influenza) of the variance. Conclusions. Factors associated with COVID-19 and influenza vaccinations varied. Variables reflecting access to care (e.g., insurance) and higher risk of severe disease (e.g., smoking) are notable. Programs to improve access and target high-risk populations may improve vaccination rates. (Am J Public Health. 2024;114(4):415-423. https://doi.org/10.2105/AJPH.2023.307553).

Identifying overlaps and disconnects between media reports and official records of nonfatal firearm injuries in Indianapolis, Indiana, 2021-2022.

OBJECTIVE: Open-source data systems, largely drawn from media sources, are commonly used by scholars due to the lack of a comprehensive national data system. It is unclear if these data provide an accurate and complete representation of firearm injuries and their context. The study objectives were to compare firearm injuries in official police records with media reports to better identify the characteristics associated with media reporting. METHODS: Firearm injuries were identified in open-source media reports and compared to nonfatal firearm injury (n = 1642) data from official police records between January 1, 2021 to December 31, 2022 in Indianapolis, Indiana. Events were matched on date, location, and event circumstances. Four multivariate, multi-level mixed effects logistic regression models were conducted to assess which survivor, event, and community characteristics were associated with media reporting. Data were analyzed 2023 - January 2024. RESULTS: Media reported 41% of nonfatal shootings in 2021 and 45% in 2022(p < 0.05), which is approximately two out of every five shootings. Shootings involving multiple survivors, children, and self-defense were more likely to be reported, whereas unintentional shootings and shootings that occurred in structurally disadvantaged communities were less likely to be reported. CONCLUSIONS: Findings suggest that relying on media reports of firearm injuries alone may misrepresent the numbers and contexts of shootings. Public health interventions that educate journalists about these important issues may be an impactful firearm violence prevention strategy. Also, it is critical to link data systems at the local level to ensure interventions are designed and evaluated using accurate data.

Prediction of Sjögren's disease diagnosis using matched electronic dental-health record data.

BACKGROUND: Sjögren's disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases. SD potentially presents through early oral manifestations prior to showing symptoms of clinically significant dry eyes or dry mouth. We examined the feasibility of utilizing a linked electronic dental record (EDR) and electronic health record (EHR) dataset to identify factors that could be used to improve early diagnosis prediction of SD in a matched case-control study population. METHODS: EHR data, including demographics, medical diagnoses, medication history, serological test history, and clinical notes, were retrieved from the Indiana Network for Patient Care database and dental procedure data were retrieved from the Indiana University School of Dentistry EDR. We examined EHR and EDR history in the three years prior to SD diagnosis for SD cases and the corresponding period in matched non-SD controls. Two conditional logistic regression (CLR) models were built using Least Absolute Shrinkage and Selection Operator regression. One used only EHR data and the other used both EHR and EDR data. The ability of these models to predict SD diagnosis was assessed using a concordance index designed for CLR. RESULTS: We identified a sample population of 129 cases and 371 controls with linked EDR-EHR data. EHR factors associated with an increased risk of SD diagnosis were the usage of lubricating throat drugs with an odds ratio (OR) of 14.97 (2.70-83.06), dry mouth (OR = 6.19, 2.14-17.89), pain in joints (OR = 2.54, 1.34-4.76), tear film insufficiency (OR = 27.04, 5.37-136.), and rheumatoid factor testing (OR = 6.97, 1.94-25.12). The addition of EDR data slightly improved model concordance compared to the EHR only model (0.834 versus 0.811). Surgical dental procedures (OR = 2.33, 1.14-4.78) were found to be associated with an increased risk of SD diagnosis while dental diagnostic procedures (OR = 0.45, 0.20-1.01) were associated with decreased risk. CONCLUSION: Utilizing EDR data alongside EHR data has the potential to improve prediction models for SD. This could improve the early diagnosis of SD, which is beneficial to slowing or preventing complications of SD.

Stigma as a local process: Stigma associated with opioid dependency in a rural-mixed Indiana county.

BACKGROUND: Because the nature and magnitude of stigmatizing views associated with opioid dependency vary by social, cultural, and structural factors, strategies to reduce public stigma towards opioid dependency should vary by context. We leverage a unique dataset with evidence of multiple stigmatizing views to understand how to target interventions to reduce stigma in a state disproportionately impacted by the opioid epidemic, with a specific focus on a rural-mixed county. METHODS: Data come from the representative Person-to-Person Health Study (2018-2020) of 2,050 Indiana residents, 224 from the rural-mixed Fayette County. Bivariate statistics and multivariate regression analyses were used to evaluate the association between Fayette County and measures of stigma (e.g., desire for social distance, prejudice, causal attributions) relative to the rest of Indiana. RESULTS: Fayette County statistically differed from the rest of Indiana on most demographic characteristics and measures of stigmatizing views. Multivariate regressions revealed that compared to the rest of Indiana, residence in Fayette County was associated with a higher desire for social distance, perceptions of unpredictability, and attributing opioid dependency to genetics and the way the person was raised. CONCLUSION: Our results contribute to growing evidence supporting the need for local approaches to address stigma. Stigma in Fayette County primarily reflects concerns about how people manage their opioid dependency. Strategies focusing on treatment and recovery potential, accompanied by extending the influence of supportive stakeholders and policies, will become important to address this stigma.

Sexual Behavior and Sexual Decision-Making Among Gay, Bisexual, and Other Men Who Have Sex with Men During the COVID-19 Pandemic: Observations from a Rapid Ethnographic Assessment in Marion County, Indiana, October-November 2021.

From 2020 to 2021, Marion County, Indiana, USA, saw an increase in early syphilis diagnoses, primarily among gay, bisexual, and other men who have sex with men (GBMSM). This rapid ethnographic assessment combines survey data from GBMSM with data from key informant interviews with multiple groups of stakeholders, including GBMSM, to describe how COVID-19 impacted sexual behaviors, sexual decision-making, and access to sexually transmitted disease (STD) services among GBMSM in Marion County, Indiana. A total of 62 virtual, semi-structured qualitative interviews with 72 key respondents including health department staff, medical providers, community-based organization staff, and GBMSM were conducted from October 14 to November 22, 2021. Modifications to partner-seeking and sexual behaviors attributable to the pandemic were associated with the way in which individuals reacted to the pandemic in general. Some GBMSM adopted mitigation strategies to avoid COVID-19 when meeting sex partners, such as creating a "sex pod." Effects on mental health included increased loneliness, heightened anxiety, and a sense of hopelessness regarding the perceived inevitability of acquiring COVID-19. For some, the latter prompted decreased engagement in preventive measures when engaging in sexual activity. The pandemic decreased access to STD services and significantly curtailed public health outreach efforts, which may have limited access to needed STD treatment and care. Efforts focusing on ongoing public health concerns during extreme health events like COVID-19 may want to consider the many ways these events affect ancillary behaviors, such sexual decision-making and sexual behaviors. The role of mental health is key; messaging and guidance may benefit from a trauma-informed approach.

Evidence on COVID-19 Mortality and Disparities Using a Novel Measure, COVID excess mortality percentage: Evidence from Indiana, Wisconsin, and Illinois.

COVID-19 mortality rates increase rapidly with age, are higher among men than women, and vary across racial/ethnic groups, but this is also true for other natural causes of death. Prior research on COVID-19 mortality rates and racial/ethnic disparities in those rates has not considered to what extent disparities reflect COVID-19-specific factors, versus preexisting health differences. This study examines both questions. We study the COVID-19-related increase in mortality risk and racial/ethnic disparities in COVID-19 mortality, and how both vary with age, gender, and time period. We use a novel measure validated in prior work, the COVID Excess Mortality Percentage (CEMP), defined as the COVID-19 mortality rate (Covid-MR), divided by the non-COVID natural mortality rate during the same time period (non-Covid NMR), converted to a percentage. The CEMP denominator uses Non-COVID NMR to adjust COVID-19 mortality risk for underlying population health. The CEMP measure generates insights which differ from those using two common measures-the COVID-MR and the all-cause excess mortality rate. By studying both CEMP and COVID-MRMR, we can separate the effects of background health from Covid-specific factors affecting COVID-19 mortality. We study how CEMP and COVID-MR vary by age, gender, race/ethnicity, and time period, using data on all adult decedents from natural causes in Indiana and Wisconsin over April 2020-June 2022 and Illinois over April 2020-December 2021. CEMP levels for racial and ethnic minority groups can be very high relative to White levels, especially for Hispanics in 2020 and the first-half of 2021. For example, during 2020, CEMP for Hispanics aged 18-59 was 68.9% versus 7.2% for non-Hispanic Whites; a ratio of 9.57:1. CEMP disparities are substantial but less extreme for other demographic groups. Disparities were generally lower after age 60 and declined over our sample period. Differences in socio-economic status and education explain only a small part of these disparities.

Increasing Visibility of Sickle Cell Disease in Indiana: Establishing Baseline Prevalence Using Integrated Data From Multiple Sources.

OBJECTIVE: The Indiana Sickle Cell Data Collection (IN-SCDC) program aims to provide timely, reliable, and locally relevant information on the sickle cell disease (SCD) population in Indiana to inform public health interventions, research, and policy development. We describe the development of the IN-SCDC program and report the prevalence and geographic distribution of people with SCD in Indiana using an integrated data collection approach. METHODS: Using multiple integrated data sources and case definitions established by the Centers for Disease Control and Prevention, we classified cases of SCD in Indiana during 2015-2019. We calculated the prevalence and incidence of SCD and described characteristics of people with SCD. RESULTS: We identified 1695 people living with SCD in Indiana during the study period. The median age of people living with SCD was 21 years, and 1474 (87.0%) were Black or African American. Most (n = 1596, 91%) resided in metropolitan counties. The age-adjusted prevalence of SCD was 24.7 cases per 100 000 people. The prevalence of SCD among Black or African American people was 209.3 per 100 000 people. The incidence was 1 in 2608 live births overall and 1 in 446 live births among Black or African American people. Eighty-six deaths were confirmed in this population during 2015-2019. CONCLUSIONS: Our results establish a baseline for the IN-SCDC program. Baseline and future surveillance program efforts will help accurately inform standards of care for treatments, identify gaps in coverage and access to care, and provide guidance for legislators and community-based organizations.

Use of Capture-Recapture Analysis to Estimate the Number of Agricultural Fatalities and Severe Agricultural Injuries in Indiana.

Conducting surveillance of agricultural injuries and fatalities in the United States has been an ongoing challenge, with many cases falling outside the criteria of national and local surveillance systems. In this research, capture-recapture analysis was used to estimate the number of fatal agricultural injuries in Indiana between 2016 and 2020. A limited analysis of non-fatal injuries is also provided. This analysis was possible because of two publicly available datasets containing incident descriptions with sufficient detail for case matching. The first dataset consisted of summary lists of fatal and nonfatal agricultural injuries in Indiana published in annual agricultural fatality reports produced by the Purdue Extension. The second data source was AgInjuryNews, which gathers reports of agricultural injuries and fatalities published in news media and other publicly available sources. Results of the capture-recapture analysis estimate that, every year in Indiana, the Purdue Extension misses 18% of fatal incidents and AgInjuryNews misses approximately 60%. AgInjuryNews identifies approximately 3 fatal incidents per year that are missed by Purdue Extension. Analysis of nonfatal incidents was limited by the fact that both data sources only included nonfatal injuries that were extremely severe and/or connected to a fatality. The Purdue Extension is estimated to miss 22% and AgInjuryNews is estimated to miss 25% of nonfatal agricultural injuries meeting that narrow definition. While capture-recapture analysis only provides estimates of true injury rates, the results provide evidence that Purdue Extension's surveillance captures most agricultural fatalities in the state. AgInjuryNews has been able to identify cases missed by Purdue, and this research takes an important step forward in quantifying how media reports found in this data source differ from extension surveillance. This research also highlights the continuing limitations in the surveillance non-fatal injuries and the ways in which publicly available data can aid researchers in filling gaps in surveillance.

Impact of the Dobbs v Jackson Women's Health Organization decision on retention of Indiana medical students for residency.

BACKGROUND: As medical students consider residency training programs, access to comprehensive training in abortion care and the legal climate influencing abortion care provision are likely to affect their decision process. OBJECTIVE: This study aimed to determine medical students' desire to stay in a state with an abortion ban for residency. STUDY DESIGN: A cross-sectional survey was distributed to all medical students at a large allopathic medical school. Anonymous survey questions investigated the likelihood of seeking residency training in states with abortion restrictions and the likelihood of considering obstetrics and gynecology as a specialty. Qualitative responses were also captured. RESULTS: The survey was distributed to 1424 students, and 473 responses yielded a 33.2% completion rate; 66.8% of students were less likely to pursue residency training in Indiana following a proposed abortion ban. Moreover, 70.0% of students were less likely to pursue residency in a state with abortion restrictions. Approximately half of respondents (52.2%) were less likely to pursue obstetrics and gynecology as a specialty after proposed abortion restrictions. Qualitative remarks encompassed 6 themes: comprehensive health care access, frustration with the political climate, impact on health care providers, relocation, advocacy, and personal beliefs and ethical considerations. CONCLUSION: Most medical students expressed decreased likelihood of remaining in Indiana or in states with abortion restrictions for residency training. The field of obstetrics and gynecology has been negatively affected, with medical students indicating lower likelihood to pursue obstetrics and gynecology. Regardless of specialty, the physician shortage may be exacerbated in states with abortion restrictions. The overturn of Roe v Wade has the potential for significant effects on medical student plans for residency training location, thereby shaping the future of the physician workforce.

Genomic characterization of Streptococcus equi subspecies zooepidemicus from a 2021 outbreak in Indiana with increased sow mortality.

IMPORTANCE: This study highlights a Streptococcus equi subspecies zooepidemicus (S. zooepidemicus) strain isolated from an outbreak in Indiana, which resulted in mortality events among a swine herd in 2021. The Indiana outbreak strain was found to be genetically and phylogenetically distant to a strain isolated from the 2019 outbreaks in Ohio and Tennessee, which caused high swine mortality. We also discovered multiple unique genetic features in the Indiana outbreak strain, including distinct S. zooepidemicus genomic islands, and notable S. zooepidemicus virulence genes-many of which could serve as biomarkers for the diagnosis of this strain. These findings provide significant insights into monitoring and potentially preventing severe outbreaks caused by the Indiana outbreak strain in the future.

Economic Burden Associated With Untreated Mental Illness in Indiana.

Importance: There is a paucity of systematically captured data on the costs incurred by society-individuals, families, and communities-from untreated mental illnesses in the US. However, these data are necessary for decision-making on actions and allocation of societal resources and should be considered by policymakers, clinicians, and employers. Objective: To estimate the economic burden associated with untreated mental illness at the societal level. Design, Setting, and Participants: This cross-sectional study used multiple data sources to tabulate the annual cost of untreated mental illness among residents (≥5 years old) in Indiana in 2019: the US National Survey on Drug Use and Health, the National Survey of Children's Health, Indiana government sources, and Indiana Medicaid enrollment and claims data. Data analyses were conducted from January to May 2022. Main Outcomes and Measures: Direct nonhealth care costs (eg, criminal justice system, homeless shelters), indirect costs (unemployment, workplace productivity losses due to absenteeism and presenteeism, all-cause mortality, suicide, caregiver direct health care, caregiver productivity losses, and missed primary education), and direct health care costs (disease-related health care expenditures). Results: The study population consisted of 6 179 105 individuals (median [SD] age, 38.0 [0.2] years; 3 132 806 [50.7%] were women) of whom an estimated 429 407 (95% CI, 349 526-528 171) had untreated mental illness in 2019. The economic burden of untreated mental illness in Indiana was estimated to be $4.2 billion annually (range of uncertainty [RoU], $2.1 billion-$7.0 billion). The cost of untreated mental illness included $3.3 billion (RoU, $1.7 billion-$5.4 billion) in indirect costs, $708.5 million (RoU, $335 million-$1.2 billion) in direct health care costs, and $185.4 million (RoU, $29.9 million-$471.5 million) in nonhealth care costs. Conclusion and Relevance: This cross-sectional study found that untreated mental illness may have significant financial consequences for society. These findings put into perspective the case for action and should be considered by policymakers, clinicians, and employers when allocating societal resources and funding. States can replicate this comprehensive framework as they prioritize key areas for action regarding mental health services and treatments.

A comparison between perceived rurality and established geographic rural status among Indiana residents.

The study assessed the association and concordance of the traditional geography-based Rural-Urban Commuting Area (RUCA) codes to individuals' self-reported rural status per a survey scale. The study included residents from rural and urban Indiana, seen at least once in a statewide health system in the past 12 months. Surveyed self-reported rural status of individuals obtained was measured using 6 items with a 7-point Likert scale. Cronbach's alpha was used to measure the internal consistency between the 6 survey response items, along with exploratory factor analysis to evaluate their construct validity. Perceived rurality was compared with RUCA categorization, which was mapped to residential zip codes. Association and concordance between the 2 measures were calculated using Spearman's rank correlation coefficient and Gwet's Agreement Coefficient (Gwet's AC), respectively. Primary self-reported data were obtained through a cross-sectional, statewide, mail-based survey, administered from January 2018 through February 2018, among a random sample of 7979 individuals aged 18 to 75, stratified by rural status and race. All 970 patients who completed the survey answered questions regarding their perceived rurality. Cronbach's alpha value of 0.907 was obtained indicating high internal consistency among the 6 self-perceived rurality items. Association of RUCA categorization and self-reported geographic status was moderate, ranging from 0.28 to 0.41. Gwet's AC ranged from -0.11 to 0.26, indicating poor to fair agreement between the 2 measures based on the benchmark scale of reliability. Geography-based and self-report methods are complementary in assessing rurality. Individuals living in areas of relatively high population density may still self-identify as rural, or individuals with long commutes may self-identify as urban.

Histopathologic survey of free-living populations of 2 species of freshwater mussels in Indiana.

Freshwater mussels are one of the most endangered groups of animals in Indiana, with nearly half of the native species either extirpated or listed as "state endangered" or of "special concern." Nationally, numerous freshwater mussel species are considered threatened. Freshwater mussel diseases are not well understood and few published accounts of freshwater mussel diseases with detailed histological descriptions exist. Mass mortality events within mussel populations are increasingly recognized, often with undetermined etiology. Our objective was to determine baseline histopathology in free-living populations of freshwater mussels. One-hundred twenty individual mussels representing 2 species-plain pocketbook (Lampsilis cardium) and fatmucket (Lampsilis siliquoidea)-were collected from 3 different locations within the Wildcat Creek watershed in central Indiana during June and July 2019. A cross-section through the visceral mass was obtained and immersed in 10% neutral-buffered formalin, with routine processing and hematoxylin and eosin staining. Branchial acariasis occurred in 43/60 fatmuckets and 22/60 plain pocketbooks. Infection with a bucephalid trematode was recognized in 18/60 fatmuckets, while infection of the gonadal duct with an unidentified trematode species was identified in 4/60 fatmuckets and 18/59 plain pocketbooks. Additional changes associated with unidentified trematodes, bacteria, fungi or oomycetes, and ciliates were observed. Other miscellaneous changes included mineralization, neuronal lipofuscinosis, and gonadal atrophy/atresia. A range of histological changes were observed. These changes likely represented background lesions: incidental findings, spontaneous infectious or endosymbiotic conditions, or normal physiological changes that routinely occur in free-living wild populations. Awareness of baseline lesions should inform future diagnostic investigations of mussel mortality events.

Spatiotemporal Analysis Exploring the Effect of Law Enforcement Drug Market Disruptions on Overdose, Indianapolis, Indiana, 2020-2021.

Objectives. To test the hypothesis that law enforcement efforts to disrupt local drug markets by seizing opioids or stimulants are associated with increased spatiotemporal clustering of overdose events in the surrounding geographic area. Methods. We performed a retrospective (January 1, 2020 to December 31, 2021), population-based cohort study using administrative data from Marion County, Indiana. We compared frequency and characteristics of drug (i.e., opioids and stimulants) seizures with changes in fatal overdose, emergency medical services nonfatal overdose calls for service, and naloxone administration in the geographic area and time following the seizures. Results. Within 7, 14, and 21 days, opioid-related law enforcement drug seizures were significantly associated with increased spatiotemporal clustering of overdoses within radii of 100, 250, and 500 meters. For example, the observed number of fatal overdoses was two-fold higher than expected under the null distribution within 7 days and 500 meters following opioid-related seizures. To a lesser extent, stimulant-related drug seizures were associated with increased spatiotemporal clustering overdose. Conclusions. Supply-side enforcement interventions and drug policies should be further explored to determine whether they exacerbate an ongoing overdose epidemic and negatively affect the nation's life expectancy. (Am J Public Health. 2023;113(7):750-758. https://doi.org/10.2105/AJPH.2023.307291).

Probable Transmission of SARS-CoV-2 from African Lion to Zoo Employees, Indiana, USA, 2021.

We describe animal-to-human transmission of SARS-CoV-2 in a zoo setting in Indiana, USA. A vaccinated African lion with physical limitations requiring hand feeding tested positive for SARS-CoV-2 after onset of respiratory signs. Zoo employees were screened, monitored prospectively for onset of symptoms, then rescreened as indicated; results were confirmed by using reverse transcription PCR and whole-genome virus sequencing when possible. Traceback investigation narrowed the source of infection to 1 of 6 persons. Three exposed employees subsequently had onset of symptoms, 2 with viral genomes identical to the lion's. Forward contact tracing investigation confirmed probable lion-to-human transmission. Close contact with large cats is a risk factor for bidirectional zoonotic SARS-CoV-2 transmission that should be considered when occupational health and biosecurity practices at zoos are designed and implemented. SARS-CoV-2 rapid testing and detection methods for big cats and other susceptible animals should be developed and validated to enable timely implementation of One Health investigations.

Antecedents of fatal overdose in an adult cohort identified through administrative record linkage in Indiana, 2015-2022.

BACKGROUND: The United States continues to experience unprecedented rates of overdose mortality and need to identify effective policies or practices that can be implemented. This study aims to measure the prevalence, frequency, timing, and rate of touchpoints that occurred prior to a fatal overdose where communities might intervene. METHODS: In collaboration with Indiana state government, we conducted record-linkage of statewide administrative datasets to vital records (January 1, 2015, through August 26, 2022) to identify touchpoints (jail booking, prison release, prescription medication dispensation, emergency department visits, and emergency medical services). We examined touchpoints within 12-months prior to a fatal overdose among an adult cohort and explored variation over time and by demographic characteristics. RESULTS: Over the 92-month study period there were 13,882 overdose deaths (89.3% accidental poisonings, X40-X44) in our adult cohort that were record-linked to multiple administrative datasets and revealed nearly two-thirds (64.7%; n=8980) experienced an emergency department visit, the most prevalent touchpoint followed by prescription medication dispensation, emergency medical services responses, jail booking, and prison release. However, with approximately 1 out of every 100 returning citizens dying from drug overdose within 12-months of release, prison release had the highest touchpoint rate followed by emergency medical services responses, jail booking, emergency department visits, and prescription medication dispensation. CONCLUSION: Record-linking administrative data from routine practice to vital records from overdose mortality is a viable means of identifying where resources should be situated to reduce fatal overdose, with potential to evaluate the effectiveness of overdose prevention efforts.