Estimated public health impact of concurrent mask mandate and vaccinate-or-test requirement in Illinois, October to December 2021.

BACKGROUND: Facing a surge of COVID-19 cases in late August 2021, the U.S. state of Illinois re-enacted its COVID-19 mask mandate for the general public and issued a requirement for workers in certain professions to be vaccinated against COVID-19 or undergo weekly testing. The mask mandate required any individual, regardless of their vaccination status, to wear a well-fitting mask in an indoor setting. METHODS: We used Illinois Department of Public Health's COVID-19 confirmed case and vaccination data and investigated scenarios where masking and vaccination would have been reduced to mimic what would have happened had the mask mandate or vaccine requirement not been put in place. The study examined a range of potential reductions in masking and vaccination mimicking potential scenarios had the mask mandate or vaccine requirement not been enacted. We estimated COVID-19 cases and hospitalizations averted by changes in masking and vaccination during the period covering October 20 to December 20, 2021. RESULTS: We find that the announcement and implementation of a mask mandate are likely to correlate with a strong protective effect at reducing COVID-19 burden and the announcement of a vaccinate-or-test requirement among frontline professionals is likely to correlate with a more modest protective effect at reducing COVID-19 burden. In our most conservative scenario, we estimated that from the period of October 20 to December 20, 2021, the mask mandate likely prevented approximately 58,000 cases and 1,175 hospitalizations, while the vaccinate-or-test requirement may have prevented at most approximately 24,000 cases and 475 hospitalizations. CONCLUSION: Our results indicate that mask mandates and vaccine-or-test requirements are vital in mitigating the burden of COVID-19 during surges of the virus.

Adapting COVID-19 Contact Tracing Protocols to Accommodate Resource Constraints, Philadelphia, Pennsylvania, USA, 2021.

Because of constrained personnel time, the Philadelphia Department of Public Health (Philadelphia, PA, USA) adjusted its COVID-19 contact tracing protocol in summer 2021 by prioritizing recent cases and limiting staff time per case. This action reduced required staff hours to prevent each case from 21-30 to 8-11 hours, while maintaining program effectiveness.

Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19.

Introduction: During the COVID-19 pandemic, the U.S. Centers for Disease Control and Prevention developed a simple spreadsheet-based tool to help state and local public health officials assess the performance and impact of COVID-19 case investigation and contact tracing in their jurisdiction. The applicability and feasibility of building such a tool for sexually transmitted diseases were assessed. Methods: The key epidemiologic differences between sexually transmitted diseases and respiratory diseases (e.g., mixing patterns, incubation period, duration of infection, and the availability of treatment) were identified, and their implications for modeling case investigation and contact tracing impact with a simple spreadsheet tool were remarked on. Existing features of the COVID-19 tool that are applicable for evaluating the impact of case investigation and contact tracing for sexually transmitted diseases were also identified. Results: Our findings offer recommendations for the future development of a spreadsheet-based modeling tool for evaluating the impact of sexually transmitted disease case investigation and contact tracing efforts. Generally, we advocate for simplifying sexually transmitted disease-specific complexities and performing sensitivity analyses to assess uncertainty. The authors also acknowledge that more complex modeling approaches might be required but note that it is possible that a sexually transmitted disease case investigation and contact tracing tool could incorporate features from more complex models while maintaining a user-friendly interface. Conclusions: A sexually transmitted disease case investigation and contact tracing tool could benefit from the incorporation of key features of the COVID-19 model, namely its user-friendly interface. The inherent differences between sexually transmitted diseases and respiratory viruses should not be seen as a limitation to the development of such tool.

Costs of seasonal influenza vaccine delivery in a pediatric demonstration project for children aged 6-23 months - Nakuru and Mombasa Counties, Kenya, 2019-2021.

BACKGROUND: During November 2019-October 2021, a pediatric influenza vaccination demonstration project was conducted in four sub-counties in Kenya. The demonstration piloted two different delivery strategies: year-round vaccination and a four-month vaccination campaign. Our objective was to compare the costs of both delivery strategies. METHODS: Cost data were collected using standardized questionnaires and extracted from government and project accounting records. We reported total costs and costs per vaccine dose administered by delivery strategy from the Kenyan government perspective in 2021 US$. Costs were separated into financial costs (monetary expenditures) and economic costs (financial costs plus the value of existing resources). We also separated costs by administrative level (national, regional, county, sub-county, and health facility) and program activity (advocacy and social mobilization; training; distribution, storage, and waste management; service delivery; monitoring; and supervision). RESULTS: The total estimated cost of the pediatric influenza demonstration project was US$ 225,269 (financial) and US$ 326,691 (economic) for the year-round delivery strategy (30,397 vaccine doses administered), compared with US$ 214,753 (financial) and US$ 242,385 (economic) for the campaign strategy (25,404 doses administered). Vaccine purchase represented the largest proportion of costs for both strategies. Excluding vaccine purchase, the cost per dose administered was US$ 1.58 (financial) and US$ 5.84 (economic) for the year-round strategy and US$ 2.89 (financial) and US$ 4.56 (economic) for the campaign strategy. CONCLUSIONS: The financial cost per dose was 83% higher for the campaign strategy than the year-round strategy due to larger expenditures for advocacy and social mobilization, training, and hiring of surge staff for service delivery. However, the economic cost per dose was more comparable for both strategies (year-round 22% higher than campaign), balanced by higher costs of operating equipment and monitoring activities for the year-round strategy. These delivery cost data provide real-world evidence to inform pediatric influenza vaccine introduction in Kenya.

Association Between State-Issued COVID-19 Vaccine Mandates and Vaccine Administration Rates in 12 US States and the District of Columbia.

Importance: Some US states have issued COVID-19 vaccine mandates; however, the association of these mandates with vaccination rates remains unknown. Objective: To examine the association between announcing state-issued COVID-19 vaccine mandates that did not provide a test-out option for workers and the vaccine administration rates in terms of state-level first-dose vaccine administration and series completion coverage. Design, Setting, and Participants: This cross-sectional study used publicly available, state-level aggregated panel data to fit linear regression models with 2-way fixed effects (state and time) estimating vaccine coverage changes 8 weeks before and 8 weeks after a state-issued COVID-19 vaccine mandate was announced. Mandates were announced on or after July 26, 2021, and were included only if they went into effect before December 31, 2021. Data were included from 13 state-level jurisdictions with a vaccine mandate in effect as of December 31, 2021, that did not allow recurring testing in lieu of vaccination (mandate group), and 14 state-level jurisdictions that allowed a test-out option and/or did not restrict vaccine requirements (comparison group). Interventions/Exposures: The event of interest was the announcement of a state-issued COVID-19 vaccine mandate applicable to specific groups of workers. Main Outcomes and Measures: The outcome measures were state-level daily COVID-19 vaccine first-dose administration and series completion coverage, reported as mean percentage point changes. Results: Of 5 508 539 first-dose administrations in the 8-week postannouncement period, an estimated 634 831 (11.5%) were associated with the mandate announcement. First-dose administration coverage among 13 jurisdictions increased starting at 3 weeks after the mandate announcement, with statistically significant differences of 0.20, 0.33, 0.39, 0.45, 0.49, and 0.59 percentage points higher than the referent category coverage of 62.9%. Increases in vaccine series completion coverage were observed from 5 to 8 weeks after the announcement, but statistically significant differences from the referent category coverage of 56.3% were observed only during weeks 7 and 8 after the announcement (both differed by 0.2 percentage points; P = .05 and P = .02, respectively). Conclusions and Relevance: The findings of this cross-sectional event study suggest that the announcement of state-issued vaccine mandates may be associated with short-term increases in vaccine uptake. This observed association may be a product of both a direct outcome experienced by groups governed by the mandate as well as the spillover outcome due to a government signaling the importance of vaccination to the general population of the state.

Estimated COVID-19 Cases and Hospitalizations Averted by Case Investigation and Contact Tracing in the US.

Importance: Evidence of the impact of COVID-19 case investigation and contact tracing (CICT) programs is lacking, but policy makers need this evidence to assess the value of such programs. Objective: To estimate COVID-19 cases and hospitalizations averted nationwide by US states' CICT programs. Design, Setting, and Participants: This decision analytical model study used combined data from US CICT programs (eg, proportion of cases interviewed, contacts notified or monitored, and days to case and contact notification) with incidence data to model outcomes of CICT over a 60-day period (November 25, 2020, to January 23, 2021). The study estimated a range of outcomes by varying assumed compliance with isolation and quarantine recommendations. Fifty-nine state and territorial health departments that received federal funding supporting COVID-19 pandemic response activities were eligible for inclusion. Data analysis was performed from July to September 2021. Exposure: Public health case investigation and contact tracing. Main Outcomes and Measures: The primary outcomes were numbers of cases and hospitalizations averted and the percentage of cases averted among cases not prevented by vaccination and other nonpharmaceutical interventions. Results: In total, 22 states and 1 territory reported all measures necessary for the analysis. These 23 jurisdictions covered 42.5% of the US population (approximately 140 million persons), spanned all 4 US Census regions, and reported data that reflected all 59 federally funded CICT programs. This study estimated that 1.11 million cases and 27 231 hospitalizations were averted by CICT programs under a scenario where 80% of interviewed cases and monitored contacts and 30% of notified contacts fully complied with isolation and quarantine guidance, eliminating their contributions to future transmission. As many as 1.36 million cases and 33 527 hospitalizations could have been prevented if all interviewed cases and monitored contacts had entered into and fully complied with isolation and quarantine guidelines upon being interviewed or notified. Across both scenarios and all jurisdictions, CICT averted an estimated median of 21.2% (range, 1.3%-65.8%) of the cases not prevented by vaccination and other nonpharmaceutical interventions. Conclusions and Relevance: These findings suggest that CICT programs likely had a substantial role in curtailing the pandemic in most jurisdictions during the 2020 to 2021 winter peak. Differences in outcomes across jurisdictions indicate an opportunity to further improve CICT effectiveness. These estimates demonstrate the potential benefits from sustaining and improving these programs.

Addressing Disease-Related Stigma During Infectious Disease Outbreaks.

Outbreaks of emerging infectious disease are a constant threat. In the last 10 years, there have been outbreaks of 2009 influenza A (H1N1), Ebola virus disease, and Zika virus. Stigma associated with infectious disease can be a barrier to adopting healthy behaviors, leading to more severe health problems, ongoing disease transmission, and difficulty controlling infectious disease outbreaks. Much has been learned about infectious disease and stigma in the context of nearly 4 decades of the human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome pandemic. In this paper, we define stigma, discuss its relevance to infectious disease outbreaks, including how individuals and communities can be affected. Adapting lessons learned from the rich literature on HIV-related stigma, we propose a strategy for reducing stigma during infectious disease outbreaks such as Ebola virus disease and Zika virus. The implementation of brief, practical strategies such as the ones proposed here might help reduce stigma and facilitate more effective control of emerging infectious diseases.

Infectious Diseases Physicians' Perspectives Regarding Injection Drug Use and Related Infections, United States, 2017.

BACKGROUND: In the context of the opioid epidemic, injection drug use (IDU)-related infections are an escalating health issue for infectious diseases (ID) physicians in the United States. METHODS: We conducted a mixed methods survey of the Infectious Diseases Society of America's Emerging Infections Network between February and April 2017 to evaluate perspectives relating to care of persons who inject drugs (PWID). Topics included the frequency of and management strategies for IDU-related infection, the availability of addiction services, and the evolving role of ID physicians in substance use disorder (SUD) management. RESULTS: More than half (53%, n = 672) of 1273 network members participated. Of these, 78% (n = 526) reported treating PWID. Infections frequently encountered included skin and soft tissue (62%, n = 324), bacteremia/fungemia (54%, n = 281), and endocarditis (50%, n = 263). In the past year, 79% (n = 416) reported that most IDU-related infections required ≥2 weeks of parenteral antibiotics; strategies frequently employed for prolonged treatment included completion of the entire course in the inpatient unit (41%, n = 218) or at another supervised facility (35%, n = 182). Only 35% (n = 184) of respondents agreed/strongly agreed that their health system offered comprehensive SUD management; 46% (n = 242) felt that ID providers should actively manage SUD. CONCLUSIONS: The majority of physicians surveyed treated PWID and reported myriad obstacles to providing care. Public health and health care systems should consider ways to support ID physicians caring for PWID, including (1) guidelines for providing complex care, including safe provision of multiweek parenteral antibiotics; (2) improved access to SUD management; and (3) strategies to assist those interested in roles in SUD management.

How Is CDC Funded to Respond to Public Health Emergencies? Federal Appropriations and Budget Execution Process for Non-Financial Experts.

The federal budgeting process affects a wide range of people who work in public health, including those who work for government at local, state, and federal levels; those who work with government; those who operate government-funded programs; and those who receive program services. However, many people who are affected by the federal budget are not aware of or do not understand how it is appropriated or executed. This commentary is intended to give non-financial experts an overview of the federal budget process to address public health emergencies. Using CDC as an example, we provide: (1) a brief overview of the annual budget formulation and appropriation process; (2) a description of execution and implementation of the federal budget; and (3) an overview of emergency supplemental appropriations, using as examples the 2009 H1N1 influenza pandemic, the 2014-15 Ebola outbreak, and the 2016 Zika epidemic. Public health emergencies require rapid coordinated responses among Congress, government agencies, partners, and sometimes foreign, state, and local governments. It is important to have an understanding of the appropriation process, including supplemental appropriations that might come into play during public health emergencies, as well as the constraints under which Congress and federal agencies operate throughout the federal budget formulation process and execution.

CDC's "Flexible" Epidemiologist: A Strategy for Enhancing Health Department Infectious Disease Epidemiology Capacity.

CONTEXT: CDC's Epidemiology and Laboratory Capacity for Infectious Diseases (ELC) Cooperative Agreement aims to help health departments strengthen core epidemiology capacity needed to respond to a variety of emerging infectious diseases. In fiscal year 2014, $6 million was awarded to 41 health departments for flexible epidemiologists (FEs). FEs were intended to help meet health departments' unique needs and support unanticipated events that could require the diversion of resources to specific emerging or reemerging diseases. OBJECTIVE: Explore multiple perspectives to characterize how FEs are utilized and to understand the perceived value of this strategy from the health department perspective. DESIGN, SETTING, AND PARTICIPANTS: We conducted 14 in-depth interviews using a semistructured questionnaire with a heterogeneous sample of 8 state health departments; 2 different instruments were administered to ELC principal investigators (PIs) or supervisors, and FEs. The team produced a codebook consisting of both structural and data-driven codes to prepare for a thematic analysis of the data. RESULTS: Three major patterns emerged to describe how FEs are being used in health departments; most commonly, FEs were used to support priorities and gaps across a range of infectious diseases, with an emphasis on enteric diseases. Almost all of the health departments utilized FEs to assist in investigating and responding to outbreaks, maintaining and upgrading surveillance systems, and coordinating and collaborating with partners. Both PIs and supervisors highly valued the flexibility it offered to their programs because FEs were cross-trained and could be used to help with situations where additional staff members were needed. CONCLUSION: ELC enhances epidemiology capacity in health departments by providing flexible personnel that help sustain areas with losses in capacity, addressing programmatic gaps, and supporting unanticipated events. Our findings support the notion that flexible personnel could be an effective model for strengthening epidemiology capacity among health departments. IMPLICATIONS FOR POLICY & PRACTICE: Our findings have practical implications for addressing the overall decline in the public health workforce, as well as the current context and environment of public health funding at both state and federal levels.

EMERGEncy ID NET: Review of a 20-Year Multisite Emergency Department Emerging Infections Research Network.

As providers of frontline clinical care for patients with acute and potentially life-threatening infections, emergency departments (EDs) have the priorities of saving lives and providing care quickly and efficiently. Although these facilities see a diversity of patients 24 hours per day and can collect prospective data in real time, their ability to conduct timely research on infectious syndromes is not well recognized. EMERGEncy ID NET is a national network that demonstrates that EDs can also collect data and conduct research in real time. This network collaborates with the Centers for Disease Control and Prevention (CDC) and other partners to study and address a wide range of infectious diseases and clinical syndromes. In this paper, we review selected highlights of EMERGEncy ID NET's history from 1995 to 2017. We focus on the establishment of this multisite research network and the network's collaborative research on a wide range of ED clinical topics.

CDC Grand Rounds: Modeling and Public Health Decision-Making.

Mathematical models incorporate various data sources and advanced computational techniques to portray real-world disease transmission and translate the basic science of infectious diseases into decision-support tools for public health. Unlike standard epidemiologic methods that rely on complete data, modeling is needed when there are gaps in data. By combining diverse data sources, models can fill gaps when critical decisions must be made using incomplete or limited information. They can be used to assess the effect and feasibility of different scenarios and provide insight into the emergence, spread, and control of disease. During the past decade, models have been used to predict the likelihood and magnitude of infectious disease outbreaks, inform emergency response activities in real time (1), and develop plans and preparedness strategies for future events, the latter of which proved invaluable during outbreaks such as severe acute respiratory syndrome and pandemic influenza (2-6). Ideally, modeling is a multistep process that involves communication between modelers and decision-makers, allowing them to gain a mutual understanding of the problem to be addressed, the type of estimates that can be reliably generated, and the limitations of the data. As models become more detailed and relevant to real-time threats, the importance of modeling in public health decision-making continues to grow.

The Medical Home Experience of Low-income Children with Non-Urgent Encounters in Acute Care Settings.

PURPOSE: Assess relationships between having a medical home and health care-seeking behavior attitudes among parents of low-income children with non-urgent encounters in acute settings (emergency, urgent care centers). METHODS: We analyzed data from 1,743 publicly insured children within non-urgent encounters. Parents completed surveys assessing medical home access and attitudes regarding health care-seeking behavior. Multivariate logistic regression analyses were conducted to investigate relationships between medical home access and attitudes. RESULTS: Forty percent of children with non-urgent acute care encounters had medical homes. Having a medical home was positively associated with always calling the doctor before going to acute care settings and preference to take a child to their doctor if the doctor's office was open evenings and weekends. CONCLUSIONS: Although having a medical home is associated with positive attitudes regarding health care-seeking behavior, it may not suffice to overcome other barriers that precipitate non-urgentencounters.

Modeling in Real Time During the Ebola Response.

To aid decision-making during CDC's response to the 2014-2016 Ebola virus disease (Ebola) epidemic in West Africa, CDC activated a Modeling Task Force to generate estimates on various topics related to the response in West Africa and the risk for importation of cases into the United States. Analysis of eight Ebola response modeling projects conducted during August 2014-July 2015 provided insight into the types of questions addressed by modeling, the impact of the estimates generated, and the difficulties encountered during the modeling. This time frame was selected to cover the three phases of the West African epidemic curve. Questions posed to the Modeling Task Force changed as the epidemic progressed. Initially, the task force was asked to estimate the number of cases that might occur if no interventions were implemented compared with cases that might occur if interventions were implemented; however, at the peak of the epidemic, the focus shifted to estimating resource needs for Ebola treatment units. Then, as the epidemic decelerated, requests for modeling changed to generating estimates of the potential number of sexually transmitted Ebola cases. Modeling to provide information for decision-making during the CDC Ebola response involved limited data, a short turnaround time, and difficulty communicating the modeling process, including assumptions and interpretation of results. Despite these challenges, modeling yielded estimates and projections that public health officials used to make key decisions regarding response strategy and resources required. The impact of modeling during the Ebola response demonstrates the usefulness of modeling in future responses, particularly in the early stages and when data are scarce. Future modeling can be enhanced by planning ahead for data needs and data sharing, and by open communication among modelers, scientists, and others to ensure that modeling and its limitations are more clearly understood. The activities summarized in this report would not have been possible without collaboration with many U.S. and international partners (http://www.cdc.gov/vhf/ebola/outbreaks/2014-west-africa/partners.html).

The Healthy Weight Disparity Index: Why We Need It to Solve the Obesity Crisis.

OBJECTIVE: This study assessed the usefulness of the Healthy Weight Disparity Index (HWDI) to evaluate income disparities related to obesity. We compared state based body mass index (BMI) rankings with HWDI rankings. METHODS: National data from the 2010 Behavioral Risk Factor Surveillance System were used to estimate mean BMI levels in each of the 50 states (plus Washington, D.C.) by income level. Income-related disparities were described with the HWDI. Kappa statistics analyzed the concordance between the two rankings. RESULTS: State-based BMI and the HWDI rankings were not concordant. For example, Washington, D.C. was ninth for lowest mean BMI yet ranked 49th on the HWDI. West Virginia ranked 42nd and 5th, and Mississippi ranked 51st on both the BMI and HWDI, respectively. DISCUSSION: State-based BMI and HWDI rankings present divergent perspectives on the obesity crisis. We recommend adding HWDI rankings to BMI rankings to reflect fully patterns of obesity and subgroup differences.