Creating and Implementing a Community Engagement Strategy for the 2022-2027 Illinois Comprehensive Cancer Control Plan Through an Academic-State Public Health Department Partnership

INTRODUCTION

Comprehensive cancer control (CCC) plans are state-level blueprints that identify regional cancer priorities and health equity strategies. Coalitions are encouraged to engage with community members, advocacy groups, people representing multiple sectors, and working partners throughout the development process. We describe the community and legislative engagement strategy developed and implemented during 2020-2022 for the 2022-2027 Illinois CCC plan.

METHODS

The engagement strategies were grounded in theory and evidence-based tools and resources. It was developed and implemented by coalition members representing the state health department and an academic partner, with feedback from the larger coalition. The strategy included a statewide town hall, 8 focus groups, and raising awareness of the plan among state policy makers.

RESULTS

A total of 112 people participated in the town hall and focus groups, including 40 (36%) cancer survivors, 31 (28%) cancer caregivers, and 18 (16%) Latino and 26 (23%) African American residents. Fourteen of 53 (26%) focus group participants identified as rural. Participants identified drivers of cancer disparities (eg, lack of a comprehensive health insurance system, discrimination, transportation access) and funding and policy priorities. Illinois House Resolution 0675, the Illinois Cancer Control Plan, was passed in March 2022.

CONCLUSION

The expertise and voices of community members affected by cancer can be documented and reflected in CCC plans. CCC plans can be brought to the attention of policy makers. Other coalitions working on state plans may consider replicating our strategy. Ultimately, CCC plans should reflect health equity principles and prioritize eliminating cancer disparities.

Understanding disruptions in cancer care to reduce increased cancer burden

Background

This study seeks to understand how and for whom COVID-19 disrupted cancer care to understand the potential for cancer health disparities across the cancer prevention and control continuum.

Methods

In this cross-sectional study, participants age 30+residing in an 82-county region in Missouri and Illinois completed an online survey from June-August 2020. Descriptive statistics were calculated for all variables separately and by care disruption status. Logistic regression modeling was conducted to determine the correlates of care disruption.

Results

Participants (N=680) reported 21% to 57% of cancer screening or treatment appointments were canceled/postponed from March 2020 through the end of 2020. Approximately 34% of residents stated they would need to know if their doctor's office is taking the appropriate COVID-related safety precautions to return to care. Higher education (OR = 1.26, 95% CI:1.11-1.43), identifying as female (OR = 1.60, 95% CI:1.12-2.30), experiencing more discrimination in healthcare settings (OR = 1.40, 95% CI:1.13-1.72), and having scheduled a telehealth appointment (OR = 1.51, 95% CI:1.07-2.15) were associated with higher odds of care disruption. Factors associated with care disruption were not consistent across races. Higher odds of care disruption for White residents were associated with higher education, female identity, older age, and having scheduled a telehealth appointment, while higher odds of care disruption for Black residents were associated only with higher education.

Conclusions

This study provides an understanding of the factors associated with cancer care disruption and what patients need to return to care. Results may inform outreach and engagement strategies to reduce delayed cancer screenings and encourage returning to cancer care.

Funding

This study was supported by the National Cancer Institute's Administrative Supplements for P30 Cancer Center Support Grants (P30CA091842-18S2 and P30CA091842-19S4). Kia L. Davis, Lisa Klesges, Sarah Humble, and Bettina Drake were supported by the National Cancer Institute's P50CA244431 and Kia L. Davis was also supported by the Breast Cancer Research Foundation. Callie Walsh-Bailey was supported by NIMHD T37 MD014218. The content does not necessarily represent the official view of these funding agencies and is solely the responsibility of the authors.

Predictors of Food and Water Stockpiling During the COVID-19 Pandemic Among Latinos and Non-Latino Black People

OBJECTIVE

The study examined factors associated with food and water stockpiling (FWS) during the COVID-19 pandemic.

METHODS

A secondary analysis of online survey data collected in two waves: April 2020 (wave 1) and June/July 2020 (wave 2), was conducted through REDCap web application. A total of 2,271 Non-Latino Black and Latino adults (mean age: 36.8 years (SD = 16.0); 64.3% female) living in Illinois were recruited. Participants self-reported if they stockpiled food and/or water (FWS) seven days prior to survey completion because of the pandemic. Logistic regression was used to determine if each variable was associated with the odds of reporting FWS.

RESULTS

Nearly a quarter (23.3%) of participants reported FWS. The adjusted model revealed that odds of FWS increase as the number of household members increased (OR: 1.21; 95% CI: 1.05-1.41). Odds of FWS were lower among participants who were not self-quarantining compared to those self-quarantining all the time (OR: 0.32; 95% CI: 0.17 - 0.62). Furthermore, individuals with lower levels of concern about COVID-19 had lower odds of FWS than those extremely concerned.

CONCLUSIONS

Household size, self-quarantine status, and concern about COVID-19 were significantly associated with FWS. These findings highlight the need to address the concerns of marginalized individuals to promote healthy behaviors.

Distribution of fresh foods in food pantries: challenges and opportunities in Illinois during the COVID-19 pandemic

BACKGROUND

The charitable food system distributes free food to clients across the U.S., but many nutrition and health-focused efforts encounter barriers to success, which were exacerbated during the COVID-19 pandemic. The objective of the current study was to understand barriers and facilitators to distributing nutritious, fresh foods in food pantries across Illinois during the COVID-19 pandemic.

METHODS

Forty-nine pantry representatives participated in focus groups in October 2021. A codebook was created based on relevant literature, stakeholder interests, and an initial review of the recordings. Transcripts of each group were coded and analyzed using a basic interpretive approach.

RESULTS

Pantries distribution of fresh foods was impacted by community partners, food bank policies and practices, and the quality of the donated fresh foods. Physical constraints of pantries limit fresh food storage capacity. The COVID-19 pandemic magnified stressors in the charitable food system which highlighted how community partners might improve fresh food distribution.

CONCLUSION

Focus groups with food pantry representatives across Illinois provided key insights that can inform future efforts to facilitate fresh food distribution in the charitable food system. Future studies should evaluate the effects of the suggested initiatives and changes at the food pantry, food bank, and policy levels.

Changes in Surgical Outcomes in a Statewide Quality Improvement Collaborative with Introduction of Simultaneous, Comprehensive Interventions

BACKGROUND

Surgical quality improvement collaboratives (QICs) aim to improve patient outcomes through coaching, benchmarked data reporting, and other activities. Although other regional QICs have formed organically over time, it is unknown whether a comprehensive quality improvement program implemented simultaneously across hospitals at the formation of a QIC would improve patient outcomes.

STUDY DESIGN

Patients undergoing surgery at 48 hospitals in the Illinois Surgical Quality Improvement Collaborative (ISQIC) were included. Risk-adjusted rates of postoperative morbidity and mortality were compared from baseline to year 3. Difference-in-differences analyses compared ISQIC hospitals with hospitals in the NSQIP Participant Use File (PUF), which served as a control.

RESULTS

There were 180,582 patients who underwent surgery at ISQIC-participating hospitals. Inpatient procedures comprised 100,219 (55.5%) cases. By year 3, risk-adjusted rates of death or serious morbidity decreased in both ISQIC (relative reduction 25.0%, p < 0.001) and PUF hospitals (7.8%, p < 0.001). Adjusted difference-in-differences analysis revealed that ISQIC participation was associated with a significantly greater reduction in death or serious morbidity (odds ratio 0.94, 95% CI 0.90 to 0.99, p = 0.01) compared with PUF hospitals. Relative reductions in risk-adjusted rates of other outcomes were also seen in both ISQIC and PUF hospitals (morbidity 22.4% vs 6.4%; venous thromboembolism 20.0% vs 5.0%; superficial surgical site infection 27.3% vs 7.7%, all p < 0.05), although these difference-in-differences did not reach statistical significance.

CONCLUSIONS

Although complication rates decreased at both ISQIC and PUF hospitals, participation in ISQIC was associated with a significantly greater improvement in death or serious morbidity. These results underscore the potential of QICs to improve patient outcomes.

Comparing State-Level and Facility-Based Review to Assess Quality of Severe Maternal Morbidity Reviews

OBJECTIVE

To compare results from facility-level and state-level severe maternal morbidity (SMM) reviews in Illinois.

DESIGN

We report descriptive characteristics about SMM cases and compare the results of both review processes, including the primary cause, assessment of preventability, and factors that contributed to the severity of the SMM cases.

SETTING

All birthing hospitals in Illinois.

PARTICIPANTS

A total of 81 SMM cases were reviewed by a facility-level committee and the state-level review committee. SMM was defined as any intensive care or critical care unit admission and/or transfusion of 4 or more units of packed red blood cells from conception to 42 days postpartum.

RESULTS

Among the cases reviewed by both committees, hemorrhage was the primary cause of morbidity, with 26 (32.1%) and 38 (46.9%) hemorrhage cases identified by the facility-level and state-level committees, respectively. Both committees identified infection/sepsis (n = 12) and preeclampsia/eclampsia (n = 12) as the next most common causes of SMM. State-level review found more cases potentially preventable (n = 29, 35.8% vs n = 18, 22.2%) and more cases not preventable but improvement in care needed (n = 31, 38.3% vs n = 27, 33.3%). State-level review found more provider and system opportunities to alter the SMM outcome and fewer patient opportunities than facility-level review.

CONCLUSION

State-level review found more SMM cases potentially preventable and identified more opportunities to improve care than facility-level review. State-level review has the potential to strengthen facility-level reviews by identifying opportunities to improve the review process and develop recommendations and tools to aid facility-level reviews.

Mpox among Public Festival Attendees, Chicago, Illinois, USA, July-August 2022

We investigated an mpox outbreak after a 2022 LGBTQ event in Chicago, Illinois, USA. Among case-patients, 38% had received 1 dose of mpox vaccine, none 2 doses; most reported sexual activity during the probable exposure period. Among other preventive measures, persons at risk should complete mpox vaccination 14 days before an event.

COVID-19 Clusters and Outbreaks Among Non-Health Care, Noncongregate Workers in Chicago, Illinois: Surveillance Through the First Omicron Wave

OBJECTIVE

To describe COVID-19 investigations by a large urban health department among non-health care, noncongregate workplaces and the utility of surveillance methods over time.

METHODS

Frequencies of workplace-associated clusters and outbreaks are described by workplace type, workforce size, and method of identification over time.

RESULTS

From April 2020 through January 2022, 496 COVID-19 investigations identified 442 clusters (89%) and 54 outbreaks (11%). Frontline essential workplaces comprised 36% of investigations before versus 15% after vaccine eligibility. Pre-Omicron, most investigations (84%) were identified through case interviews. During Omicron predominance, case interviews decreased dramatically and identified 10% of investigations. Offices (41%) and bars and restaurants (36%) were overrepresented, and only one outbreak was identified, given decreases in confirmatory testing.

CONCLUSIONS

Findings suggest that vaccine prioritization reduced COVID-19 burden among highest-risk workplaces, but surveillance methods likely became less representative over time.

How the rural risk environment underpins hepatitis C risk: Qualitative findings from rural southern Illinois, United States

BACKGROUND

Hepatitis C virus (HCV) infection has increased among persons who inject drugs (PWID) in the United States with disproportionate burden in rural areas. We use the Risk Environment framework to explore potential economic, physical, social, and political determinants of hepatitis C in rural southern Illinois.

METHODS

Nineteen in-depth semi-structured interviews were conducted with PWID from August 2019 through February 2020 (i.e., pre-COVID-19 pandemic) and four with key informants who professionally worked with PWID. Interviews were recorded, professionally transcribed, and coded using qualitative software. We followed a grounded theory approach for coding and analyses.

RESULTS

We identify economic, physical, policy, and social factors that may influence HCV transmission risk and serve as barriers to HCV care. Economic instability and lack of economic opportunities, a lack of physically available HCV prevention and treatment services, structural stigma such as policies that criminalize drug use, and social stigma emerged in interviews as potential risks for transmission and barriers to care.

CONCLUSION

The rural risk environment framework acknowledges the importance of community and structural factors that influence HCV infection and other disease transmission and care. We find that larger structural factors produce vulnerabilities and reduce access to resources, which negatively impact hepatitis C disease outcomes.

Effect of the COVID-19 Global Pandemic on Illinois Children Tested for Blood Lead Level and Exposure

Objectives. To determine whether the number of children tested for lead exposure and the number of case rates increased (rate ratio [RR] > 1), decreased (RR < 1), or remained stable (RR = 1) during COVID-19 pandemic year 2020 compared with prepandemic year 2019. Methods. We analyzed more than 415 000 children's records reported to the Illinois Department of Public Health in 2019 and 2020 by demographic characteristics. The testing rate was the number of children tested yearly per population. The case rate was the proportion of children whose yearly tests showed a blood lead level of 5 or more micrograms per deciliter. RR was the 2020 case rate divided by the 2019 case rate. Results. In 2020, 19.6% of children were tested for lead compared with 25.5% in 2019. Testing decreased in 97% of counties. The 24% decreased testing in 2020 was notably in African Americans (36.4% decrease), high-risk zip codes (29.8% decrease), and rural counties (26.9% decrease). Case rates increased in rural counties, high-risk zip codes, Whites, and Hispanics. Conclusions. During pandemic year 2020, the number of children tested for lead decreased by 24%, and case rates increased in 51% of counties. Public Health Implications. Redesignation of high-risk zip codes is recommended to increase the testing of at-risk populations. (Am J Public Health. 2023;113(1):89-95. https://doi.org/10.2105/AJPH.2022.307109).

Community home visiting services and child maltreatment report rates, Illinois zip codes, 2011-2018

BACKGROUND

Research is sparse on the community-level impacts of home visiting programs on child maltreatment.

OBJECTIVE

To examine community-level associations between state-funded home visiting programs (i.e., IDHS-HV), federal-funded home visiting programs (i.e., MIECHV), and child maltreatment report (CMR) rates, overall and within subgroups of age, sex, and maltreatment type.

PARTICIPANTS AND SETTING

3824 zip code-years during 2011-2018 in Illinois for IDHS-HV/CMR associations and 1896 zip code-years during 2015-2018 for MIECHV/CMR associations.

METHODS

We measured county-level IDHS-HV rates (per 1000 children aged 0-5) since data were only available at that level. MIECHV rates (per 1000 children aged 0-5), CMR rates (per 1000 children), and all controls were measured at the zip code level. We used spatial linear models to handle spatial autocorrelation.

RESULTS

Adjusted for controls, longitudinal increases of IDHS-HV rates were significantly associated with decreased overall CMR rates (coefficient: -0.28; 95 % CI: -0.45, -0.11), age 0-5 CMR rates (-0.52; -0.82, -0.22), age 6-11 CMR rates (-0.31; -0.55, -0.06), male CMR rates (-0.25; -0.45, -0.05), female CMR rates (-0.29; -0.49, -0.08), and neglect report rates (-0.13; -0.24, -0.02). In contrast, longitudinal increases of MIECHV rates were significantly associated with increased CMR rates within several subgroups.

CONCLUSIONS

Our findings suggest that increasing state-funded home visiting services in communities may have benefits in lowering their CMR rates. Given the very low MIECHV service rates and the federal policy that requires MIECHV to target at-risk communities, the significant positive MIECHV/CMR associations we found might indicate MIECHV programs are typically in higher risk communities.

Perception of Local COVID-19 Transmission and Use of Preventive Behaviors Among Adults with Recent SARS-CoV-2 Infection - Illinois and Michigan, June 1-July 31, 2022

During the early stages of the COVID-19 pandemic, use of preventive behaviors was associated with perceived risk for contracting SARS-CoV-2 infection (1,2). Over time, perceived risk has declined along with waning COVID-19-related media coverage (3,4). The extent to which communities continue to be aware of local COVID-19 transmission levels and are implementing recommended preventive behaviors is unknown. During June 1-July 31, 2022, health departments in DuPage County, Illinois and metropolitan Detroit, Michigan surveyed a combined total of 4,934 adults who had received a positive test result for SARS-CoV-2 during the preceding 3 weeks. The association between awareness of local COVID-19 transmission and use of preventive behaviors and practices was assessed, both in response to perceived local COVID-19 transmission levels and specifically during the 2 weeks preceding SARS-CoV-2 testing. Both areas had experienced sustained high COVID-19 transmission during the study interval as categorized by CDC COVID-19 transmission levels.* Overall, 702 (14%) respondents perceived local COVID-19 transmission levels as high, 987 (20%) as substantial, 1,902 (39%) as moderate, and 581 (12%) as low; 789 (16%) reported they did not know. Adjusting for geographic area, age, gender identity, and combined race and ethnicity, respondents who perceived local COVID-19 transmission levels as high were more likely to report having made behavioral changes because of the level of COVID-19 transmission in their area, including wearing a mask in public, limiting travel, and avoiding crowded places or events. Continued monitoring of public perceptions of local COVID-19 levels and developing a better understanding of their influence on the use of preventive behaviors can guide COVID-19 communication strategies and policy making during and beyond the pandemic.

The incidence burden of unreported pedestrian crashes in Illinois

OBJECTIVE

Communities with high rates of pedestrians struck by motor vehicles may miss out on mitigation resources and suffer worse medical outcomes if crashes there go unreported to police. This study investigates the places, people, and communities in Illinois where struck pedestrians are most likely to go unreported. A better understanding of the true burden and distribution of struck pedestrians will help guide policy and direct investments and interventions where they are most needed.

METHODS

Hospital records of pedestrians treated for injuries sustained by a motor vehicle that were not able to be linked with a corresponding crash report across three consecutive years are investigated. Discordance rates of struck pedestrians are calculated and disaggregated by region. A presentation of summary statistics is accompanied by an ordinary least squares predictive model to estimate the relationship between discordant struck pedestrians and sociodemographic factors.

RESULTS

The incidence of unreported struck pedestrians was not randomly distributed. Blacks struck by a motor vehicle were disproportionately likely to go unreported to police. Zip codes with the most unreported crashes per capita on average had double the poverty rate and 2.6 times the carless household rate as the rest of Illinois. Struck pedestrians diagnosed at the hospital with an intoxicating substance went unreported to police nearly 70% of the time. Generally, more severe head and thorax injuries were more likely to be reported. Struck pedestrians outside of Cook County averaged a 60% discordance rate, those within Cook County averaged a discordance rate of about 50%. Struck pedestrian cases reported to police averaged emergency department charges of about $2,500 more than unreported cases.

CONCLUSIONS

Underlying and contributing factors influential of a struck pedestrian's decision of whether to report to police is complex and layered by social constructs mixed with difficult economic decisions, often further complicated by the fog of impairment. Recommendations are made for community outreach to stress the importance of reporting incidents to police, along with adjusting case count numbers in police records using hospital data and discordance rates.

Community food insecurity predicts child maltreatment report rates across Illinois zip codes, 2011-2018

PURPOSE

We examined how longitudinal changes and inter-community differences of food insecurity rates were associated with child maltreatment report (CMR) rates at the zip code level. We assessed these associations overall, by urbanicity, and within subgroups of age, sex, and maltreatment type.

METHODS

We used Illinois statewide zip code-level data from 2011 to 2018. We measured CMR rates based on Illinois child protective services records and food insecurity rates from Feeding America's Map the Meal Gap. We conducted spatial linear modeling to account for spatial dependence with controls for various socioeconomic, demographic, care burden, and instability conditions of communities.

RESULTS

Both longitudinal changes and inter-community differences of food insecurity rates were significantly associated with increased CMR rates overall and within all subgroups. These associations were significant among all large urban, small urban, and rural areas, while longitudinal changes of food insecurity rates had significantly stronger associations among small urban areas compared with other areas.

CONCLUSIONS

Communities experiencing higher food insecurity had higher CMR rates. Increases in food insecurity over time were associated with increases in CMR rates. These associations were reproduced within subgroups of child age, sex, maltreatment type, and urbanicity. Attention and collaborative efforts are warranted for high food insecure communities.

Multistate Outbreak of Infection with SARS-CoV-2 Omicron Variant after Event in Chicago, Illinois, USA, 2021

Bars and restaurants are high-risk settings for SARS-CoV-2 transmission. A multistate outbreak after a bar gathering in Chicago, Illinois, USA, highlights Omicron variant transmissibility, the value of local genomic surveillance and interstate coordination, vaccination value, and the potential for rapid transmission of a novel variant across multiple states after 1 event.

Health disparities and COVID-19: A retrospective study examining individual and community factors causing disproportionate COVID-19 outcomes in Cook County, Illinois

Early data from the COVID-19 pandemic suggests that the disease has had a disproportionate impact on communities of color with higher infection and mortality rates within those communities. This study used demographic data from the 2018 US census estimates, mortality data from the Cook County Medical Examiner’s office, and testing results from the Illinois Department of Public Health to perform bivariate and multivariate regression analyses to explore the role race plays in COVID-19 outcomes at the individual and community levels. We used the ZCTA Social Deprivation Index (SDI), a measure of ZCTA area level deprivation based on seven demographic characteristics to quantify the socio-economic variation in health outcomes and levels of disadvantage across ZCTAs. Principal findings showed that: 1) while Black individuals make up 22% of Cook County’s population, they account for 28% of the county’s COVID-19 related deaths; 2) the average age of death from COVID-19 is seven years younger for Non-White compared with White decedents; 3) residents of Minority ZCTA areas were 1.02 times as likely to test positive for COVID-19, (Incidence Rate Ratio (IRR) 1.02, [95% CI 0.95, 1.10]); 1.77 times as likely to die (IRR 1.77, [95% CI 1.17, 2.66]); and were 1.15 times as likely to be tested (IRR 1.15, [95% CI 0.99, 1.33]). There are notable differences in COVID-19 related outcomes between racial and ethnic groups at individual and community levels. This study illustrates the health disparities and underlying systemic inequalities experienced by communities of color.

Association of Zip Code Vaccination Rate With COVID-19 Mortality in Chicago, Illinois

Importance

There has been large geographic inequity in vaccination coverage across Chicago, Illinois, with higher vaccination rates in zip codes with residents who predominantly have high incomes and are White.

Objective

To determine the association between inequitable zip code-level vaccination coverage and COVID-19 mortality in Chicago.

Design, Setting, and Participants

This retrospective cohort study used Chicago Department of Public Health vaccination and mortality data and Cook County Medical Examiner mortality data from March 1, 2020, through November 6, 2021, to assess the association of COVID-19 mortality with zip code-level vaccination rates. Data were analyzed from June 1, 2021, to April 13, 2022.

Exposures

Zip code-level first-dose vaccination rates before the Alpha and Delta waves of COVID-19.

Main Outcomes and Measures

The primary outcome was deaths from COVID-19 during the Alpha and Delta waves. The association of a marginal increase in zip code-level vaccination rate with weekly mortality rates was estimated with a mixed-effects Poisson regression model, and the total number of preventable deaths in the least vaccinated quartile of zip codes was estimated with a linear difference-in-difference design.

Results

The study population was 2 686 355 Chicago residents in 52 zip codes (median [IQR] age 34 [32-38] years; 1 378 658 [51%] women; 773 938 Hispanic residents [29%]; 783 916 non-Hispanic Black residents [29%]; 894 555 non-Hispanic White residents [33%]). Among residents in the least vaccinated quartile, 80% were non-Hispanic Black, compared with 8% of residents identifying as non-Hispanic Black in the most vaccinated quartile (P < .001). After controlling for age distribution and recovery from COVID-19, a 10-percentage point increase in zip code-level vaccination 6 weeks before the peak of the Alpha wave was associated with a 39% lower relative risk of death from COVID-19 (incidence rate ratio [IRR], 0.61 [95% CI, 0.52-0.72]). A 10-percentage point increase in zip code vaccination rate 6 weeks before the peak of the Delta wave was associated with a 24% lower relative risk of death (IRR, 0.76 [95% CI, 0.66-0.87]). The difference-in-difference estimate was that 119 Alpha wave deaths (72% [95% CI, 63%-81%]) and 108 Delta wave deaths (75% [95% CI, 66%-84%]) might have been prevented in the least vaccinated quartile of zip codes if it had had the vaccination coverage of the most vaccinated quartile.

Conclusions and Relevance

These findings suggest that low zip code-level vaccination rates in Chicago were associated with more deaths during the Alpha and Delta waves of COVID-19 and that inequitable vaccination coverage exacerbated existing racial and ethnic disparities in COVID-19 deaths.

Trends in Hospital Care for Intentional Assault Gunshot Wounds Among Residents of Cook County, Illinois, 2018-2020

Objectives. To examine gun violence with respect to hospital visits for treatment of intentional assault gunshot wounds (IGWs). Methods. IGW-coded visits among residents of Cook County, Illinois, were matched to census zip code tabulation areas (ZCTAs) to map changes in IGW visit frequencies between 2018 and 2020. Patient characteristics were compared across years, and Poisson regression models for the likelihood of an inpatient admission or in-hospital death were estimated. Results. Over the study period, Cook County residents made 7122 IGW-coded hospital visits to 89 Illinois hospitals, resulting in $342 million in charges and 24 894 hospital days. The number of visits almost doubled between 2018 and 2020, from 1553 to 3031; 6 ZCTAs had increases of more than 60 visits. Approximately one third of patients with a visit were admitted, and 6.5% died. Conclusions. Hospital statistics do not include the full toll of nonfatal gun injuries or the costs of related community-level trauma. The health care system remains crucial in implementing epidemiological approaches to violence prevention. Addressing the national spike in shootings will require large investments in community economic development and a professional public safety workforce. (Am J Public Health. 2022;112(5):795-802. https://doi.org/10.2105/AJPH.2022.306747).

Incidence of COVID-19 reinfection among Midwestern healthcare employees

Given the overwhelming worldwide rate of infection and the disappointing pace of vaccination, addressing reinfection is critical. Understanding reinfection, including longevity after natural infection, will allow us to better know the prospect of herd immunity, which hinges on the assumption that natural infection generates sufficient, protective immunity. The primary objective of this observational cohort study is to establish the incidence of reinfection of COVID-19 among healthcare employees who experienced a prior COVID-19 infection over a 10-month period. Of 2,625 participants who experienced at least one COVID-19 infection during the 10-month study period, 156 (5.94%) experienced reinfection and 540 (20.57%) experienced recurrence after prior infection. Median days were 126.50 (105.50–171.00) to reinfection and 31.50 (10.00–72.00) to recurrence. Incidence rate of COVID-19 reinfection was 0.35 cases per 1,000 person-days, with participants working in COVID-clinical and clinical units experiencing 3.77 and 3.57 times, respectively, greater risk of reinfection relative to those working in non-clinical units. Incidence rate of COVID-19 recurrence was 1.47 cases per 1,000 person-days. This study supports the consensus that COVID-19 reinfection, defined as subsequent infection ≥ 90 days after prior infection, is rare, even among a sample of healthcare workers with frequent exposure.

Forecasting HIV-1 Genetic Cluster Growth in Illinois,United States

BACKGROUND

HIV intervention activities directed toward both those most likely to transmit and their HIV-negative partners have the potential to substantially disrupt HIV transmission. Using HIV sequence data to construct molecular transmission clusters can reveal individuals whose viruses are connected. The utility of various cluster prioritization schemes measuring cluster growth have been demonstrated using surveillance data in New York City and across the United States, by the Centers for Disease Control and Prevention (CDC).

METHODS

We examined clustering and cluster growth prioritization schemes using Illinois HIV sequence data that include cases from Chicago, a large urban center with high HIV prevalence, to compare their ability to predict future cluster growth.

RESULTS

We found that past cluster growth was a far better predictor of future cluster growth than cluster membership alone but found no substantive difference between the schemes used by CDC and the relative cluster growth scheme previously used in New York City (NYC). Focusing on individuals selected simultaneously by both the CDC and the NYC schemes did not provide additional improvements.

CONCLUSION

Growth-based prioritization schemes can easily be automated in HIV surveillance tools and can be used by health departments to identify and respond to clusters where HIV transmission may be actively occurring.