Machine learning methods have seen increased application to geospatial environmental problems, such as precipitation nowcasting, haze forecasting, and crop yield prediction. However, many of the machine learning methods applied to mosquito population and disease forecasting do not inherently take into account the underlying spatial structure of the given data. In our work, we apply a spatially aware graph neural network model consisting of GraphSAGE layers to forecast the presence of West Nile virus in Illinois, to aid mosquito surveillance and abatement efforts within the state. More generally, we show that graph neural networks applied to irregularly sampled geospatial data can exceed the performance of a range of baseline methods including logistic regression, XGBoost, and fully-connected neural networks.

Agricultural producers have worse mental health than the general population; however, recent research has not considered differences in stressors and mental health conditions by gender. A survey was mailed to a random sample of farmers in Illinois to screen for symptoms of anxiety and depression and identify sources of stress and social support. Men experienced more stress related to environmental and economic conditions than women, while women tended to have slightly higher levels of geographic isolation stress than men. Overall, there were no significant differences by gender in the proportion meeting the criteria for depression or anxiety; however, the results are higher than what is observed in the general population. Among those farmers who experience higher levels of stress about geographic isolation, the odds for women farmers to experience depressive symptoms are four times more than men farmers (OR 4.46 (0.91, 21.8); p = 0.06). Additional research should examine the relationship between social support and mental health. Interventions to reduce stress by gender should be considered.

UNASSIGNED: To conduct a randomized controlled trial to compare 3 implementation strategies and the impact of facilitated referrals on linkage of Federally Qualified Health Center patients to the Illinois Tobacco Quitline (ITQL).
UNASSIGNED: This study will be a hybrid type 3 implementation-effectiveness trial guided by 2 implementation science frameworks: reach, effectiveness, adoption, implementation, and maintenance and exploration preparation implementation sustainment. We will evaluate whether sending provider messages through the patient electronic health portal increases patient linkage to the ITQL. We will (1) randomly assign all eligible patients to receive 1 of 3 messages (information about quitting, advice to quit, and advice to quit or cut down), and (2) we will offer a facilitated linkage to the ITQL. For patients who opt into a facilitated referral, we will share their contact information with the ITQL, who will contact them. Four weeks after the initial message, patients who expressed interest in services but were not reached by the ITQL will be rerandomized to 1 of 2 arms, an offer to reconnect to the ITQL or an offer to engage a peer navigator who can help them reconnect to the ITQL. We will assess the implementation strategies\' reach, adoption, linkage, and sustainability with the ITQL.
UNASSIGNED: This study will provide a new cost-effective and efficient model to link low-income smokers to state tobacco quitlines. Message delivery via patient health portals has important implications for addressing other tobacco-related morbidities.

BACKGROUND: For many young children, early childcare and education (ECE) programs are the only source of nutritious meals and physical activity (PA); however, the COVID-19 pandemic led to program closures, restrictions, and changed practices.
OBJECTIVE: To examine changes in nutrition and PA-related best practices in ECE settings in Illinois from 2019, just prior to the pandemic, as compared to 2022. We also examined how changes over time varied by program type (ie, centers vs homes), Child and Adult Care Food Program (CACFP) status, and/or Head Start/Early Head Start status.
METHODS: The study design is a repeated cross-sectional survey administered in December 2019 and October 2022.
METHODS: State of Illinois.
METHODS: A total of 888 and 1162 ECE providers completed initial and follow-up surveys, respectively.
METHODS: NA.
METHODS: Provider report of meeting 14 nutrition and 9 PA-related best practices.
RESULTS: Overall, 9 nutrition-related best practices were maintained and 5 declined over time. Centers, CACFP, and Head Start providers reported significant declines in meeting nutrition-related practices over time. A total of 8 PA-related best practices were maintained and 1 declined over time. Centers reported a significant decline in 5 of the PA-related best practices over time, and these declines were significantly different than in homes over time. Similarly, Head Start programs reported a decline in 4 PA-related best practices over time, and the change was significantly different from non-Head Start programs in 3 of the 4 practices.
CONCLUSIONS: The findings of this study should be considered a new baseline for ECE nutrition and PA-related best practices in Illinois and should serve as a wake-up call for advocates nationwide with regard to the provision of nutrition and PA-related best practices in centers and by CACFP and Head Start providers postpandemic.

This study explores the association between health system changes over the last decade and women\'s preventive care utilization in Illinois. A cross-sectional analysis using Illinois Behavioral Risk Factor Surveillance System (BRFSS) data from 2012-2020 among women aged 21-75 (n=21,258) examined well-woman visit (WWV) receipt and breast and cervical cancer screening overall and over several time periods. There was an increase in the prevalence of receiving a WWV for Illinois women overall from 2012-2020. However, the overall adjusted prevalence difference was only significant for the 2020 versus 2015-2019 comparison and not for 2015-2019 versus 2012-2014. The COVID-19 pandemic was not associated with a decrease in the prevalence of mammogram use but was manifest for cervical cancer screening, particularly for Black women. Finally, those reporting having a WWV in the past year had a significantly higher prevalence of being up to date with screening compared with those not reporting a WWV.

Civilian injuries caused during contact with law enforcement personnel erode community trust in policing, impact individual well-being, and exacerbate existing health inequities. We assessed the relationship between ZIP code-level rates of civilian injuries caused during legal interventions and community-level sociodemographic characteristics using Illinois hospital data from 2016 to 2022. We developed multivariable Poisson regression models to examine whether legal intervention injury rates differed by race-ethnicity and community economic disadvantage across three geographic regions of Illinois representing different levels of urbanization. Over the study period, 4976 civilian injuries were treated in Illinois hospitals (rate of 5.6 per 100,000 residents). Compared to non-Hispanic white residents, non-Hispanic Black residents demonstrated 5.5-10.5 times higher injury rates across the three geographic regions, and Hispanic-Latino residents demonstrated higher rates in Chicago and suburban Cook County, but lower rates in the rest of the state. In most regions, models showed that as the percent of minority residents in a ZIP code increased, injury rates among non-Hispanic Black and Hispanic-Latino residents decreased. As community economic disadvantage increased at the ZIP code level, civilian injury rates increased. Communities with the highest injury rates involving non-Hispanic white residents were significantly more economically unequal and disadvantaged. While the injury rates were consistently and substantially higher among non-Hispanic Black residents throughout the state, the findings illustrate that the association between overall civilian injuries caused during contact with law enforcement and community sociodemographic characteristics varied across regions. Data on local law enforcement agency policies and procedures are needed to better identify appropriate interventions.

With anthropogenic changes altering the environment and the subsequent decline of natural habitats, it can be challenging to predict essential habitats for elusive and difficult to study taxa. Primary burrowing crayfish are one such group due to the complexity in sampling their semi-terrestrial, subterranean habitat. Sampling burrows usually requires a labor-intensive, time-consuming excavation or trapping process. However, limited information on burrowing crayfish suggests that fine-scale habitat variation may drive burrowing crayfish habitat choice. This project aimed to evaluate the fine-scale habitat characteristics that influence burrowing crayfish presence and abundance at a large, restored-remnant grassland preserve in north-central Illinois. We documented burrow abundance and quadrat-specific habitat variables such as root biomass, canopy cover, apparent seasonal high-water table (water table) depth and dominant vegetation at sites with and without burrowing crayfish populations. Data was recorded at every quadrat and analyzed using generalized linear mixed models. A total of 21 models were created to determine what habitat variables affected burrow presence and abundance. We found that the water table depth was a significant driver of burrow presence and abundance. Root biomass and vegetation cover were not significant drivers, although they did show up in the final models, explaining the data. These findings demonstrate empirical support for previous observations from other burrowing crayfish research and demonstrate the influence of fine-scale habitat when modeling elusive taxa requirements.

Veterinarians play an essential role in safeguarding and promoting animal and human health by timely reporting of notifiable diseases to animal and public health agencies and by educating animal owners on effective disease prevention measures. Moreover, clinical veterinarians can prevent the transmission and spread of zoonotic diseases by adopting effective biosecurity practices in their clinics. An online questionnaire was administered between October and November 2021 to veterinarians registered with the Illinois State Veterinary Medical Association. Veterinarians were surveyed on their disease risk perception, biosecurity practices, and disease reporting knowledge. In total, 104 veterinarians (64 % females and 46 % males) completed the questionnaire, of whom 88 % were veterinarians working in clinical practice (88 % companion animals and 12 % bovine or swine), while 12 % were employed in non-clinical settings. The disease-reporting knowledge score was higher for veterinarians with biosecurity training (IRR: 1.35; 95 % CI: 1.47-1.75). Compared to large animal veterinarians, companion animal veterinarians had lower odds of having biosecurity training (OR=0.68; 95 % CI=0.02-0.28) and were less familiar with current biosecurity guidelines (OR=0.12; 95 % CI = 0.03-0.51). Veterinarians familiar with biosecurity guidelines had a higher probability (OR=4.4; 95 % CI: 1.21-16.28) of perceiving biosecurity practices as practical while working with animals. Conversely, veterinarians who perceived that they could transmit diseases to animals had lower odds (OR: 0.42; 95 % CI: 0.20-0.91) of wearing protective clothing while dealing with confirmed cases of zoonotic diseases. Based on our study results, a gap in disease-reporting knowledge was identified among companion animal veterinarians. Biosecurity training improved the disease-reporting knowledge of veterinarians, suggesting that providing continuing education for veterinarians would be beneficial to disease reporting. A disconnect between disease risk perception and biosecurity practices was identified and further studies are needed to understand this discrepancy to design effective education programs.

BACKGROUND: Little attention has been placed on language proficiency as a potential variable affecting ACS symptom knowledge, attitudes, and beliefs.
OBJECTIVE: To compare the ACS symptom knowledge, attitudes, and beliefs of Hispanic and Latina/o/x/e individuals proficient in English and in those only proficient in Spanish. Secondary aims were to determine if there were differences in ACS symptom knowledge, attitudes, or beliefs based on participants\' previous exposure to ACS symptom information and to evaluate instrument characteristics of the new Spanish version of the ACS Response Index.
METHODS: This cross-sectional, comparative study included participants (N = 99) from a community-based clinic in Illinois. Knowledge, attitudes, and beliefs related to ACS symptoms were measured using the ACS Response Index.
RESULTS: The average participant was 39.8 (SD 15.6) years of age, female (n = 56, 56.6 %), and had a high school education or less (n = 61, 61.6 %). Participants correctly classified a mean 57.5 % (SD 12.8) of symptoms and had mean attitude and belief scores of 12.1 (SD 3.3) and 17.5 (SD 2.9), respectively. There were no significant differences in knowledge, attitudes, and beliefs based on language proficiency. However, there were some statistically significant differences for knowledge and attitude scores based on exposure to ACS symptom information. The ACS Response Index (Spanish Version) also demonstrated favorable internal consistency.
CONCLUSIONS: Overall knowledge, attitude, and belief scores were modest in this sample. Higher knowledge and attitude scores were observed for some types of ACS information exposure, supporting the importance of future educational efforts in this population.

This study aimed to evaluate the seroprevalence and spatial and temporal clustering of SARS-CoV-2 antibodies in household cats within 63 counties in Illinois from October 2021 to May 2023. The analysis followed a stepwise approach. First, in a choropleth point map, we illustrated the distribution of county-level seroprevalence of SARS-CoV-2 antibodies. Next, spatial interpolation was used to predict the seroprevalence in counties without recorded data. Global and local clustering methods were used to identify the extent of clustering and the counties with high or low seroprevalence, respectively. Next, temporal, spatial, and space-time scan statistic was used to identify periods and counties with higher-than-expected seroprevalence. In the last step, to identify more distinct areas in counties with high seroprevalence, city-level analysis was conducted to identify temporal and space-time clusters. Among 1,715 samples tested by serological assays, 244 samples (14%) tested positive. Young cats had higher seropositivity than older cats, and the third quarter of the year had the highest odds of seropositivity. Three county-level space-time clusters with higher-than-expected seroprevalence were identified in the northeastern, central-east, and southwest regions of Illinois, occurring between June and October 2022. In the city-level analysis, 2 space-time clusters were identified in Chicago\'s downtown and the southwestern suburbs of Chicago between June and September 2022. Our results suggest that the high density of humans and cats in large cities such as Chicago, might play a role in the transmission and clustering of SARS-CoV-2. Our study provides an in-depth analysis of SARS-CoV-2 epidemiology in Illinois household cats, which will aid in COVID-19 control and prevention.