The Knowledge, Attitudes, and Practices Regarding Monkey Pox (Mpox) Among Undergraduate and Postgraduate Students in Gujarat, India.

BACKGROUND: The global spread of monkeypox (mpox) has raised concerns about public health preparedness, particularly among young adults. This study aimed to assess and compare the knowledge, attitudes, and practices (KAP) regarding mpox among undergraduate (UG) and postgraduate (PG) students in Gujarat, India. METHODS: A cross-sectional study was conducted among 605 students (402 UG, 203 PG) from one of the tertiary hospitals (PG) and a medical colleges (UG) in Gujarat. A structured questionnaire assessed knowledge, attitudes, and practices regarding mpox. Data were analyzed using descriptive statistics, chi-square tests, and independent t-tests. RESULTS: PG students demonstrated significantly higher knowledge scores than UG students (mean score 8.4 vs 6.5 out of 10, p<0.001). They showed greater awareness of mpox (187/203, 92.1% vs 314/402, 78.1%, p<0.001) and a better understanding of transmission routes, symptoms, and preventive measures. PG students also exhibited more positive attitudes, with a higher perception of mpox as a serious threat (152/203, 74.9% vs 241/402, 60.0%, p<0.001) and a greater willingness to get vaccinated (172/203, 84.7% vs 281/402, 69.9%, p<0.001). In terms of practices, PG students reported better adherence to preventive measures, including regular hand hygiene (127/203, 62.6% vs 201/402, 50.0% always practicing, p=0.002) and wearing face masks in crowded places (168/203, 82.8% vs 298/402, 74.1%, p=0.017). CONCLUSION: Significant differences in KAP regarding mpox exist between UG and PG students, with PG students consistently demonstrating higher levels of awareness, more positive attitudes, and better preventive practices. These findings highlight the need for targeted educational interventions to enhance mpox preparedness among university students, with particular attention to undergraduate populations.

Challenges in the case-based surveillance of infectious diseases.

To effectively inform infectious disease control strategies, accurate knowledge of the pathogen's transmission dynamics is required. Since the timings of infections are rarely known, estimates of the infection incidence, which is crucial for understanding the transmission dynamics, often rely on measurements of other quantities amenable to surveillance. Case-based surveillance, in which infected individuals are identified by a positive test, is the predominant form of surveillance for many pathogens, and was used extensively during the COVID-19 pandemic. However, there can be many biases present in case-based surveillance indicators due to, for example test sensitivity, changing testing behaviours and the co-circulation of pathogens with similar symptom profiles. Here, we develop a mathematical description of case-based surveillance of infectious diseases. By considering realistic epidemiological parameters and situations, we demonstrate many of the potential biases in common surveillance indicators based on case-based surveillance data. Crucially, we find that many of these common surveillance indicators (e.g. case numbers, test-positive proportion) are heavily biased by circulating pathogens with similar symptom profiles. Future surveillance strategies could be designed to minimize these sources of bias and uncertainty, providing more accurate estimates of a pathogen's transmission dynamics and, ultimately, more targeted application of public health measures.

A Review of COVID-19 Hotels in New York City During the Early 2020 Outbreak: An Alternative Care Model.

New York City (NYC) was the epicenter of the early US COVID-19 pandemic. From March to May 2020, overburdened healthcare centers precipitated an emergent need for non-traditional facilities to meet patient care demands. Given travel restrictions and NYC's underutilized tourist infrastructure, hotels were available to support emergency response needs. This article describes the process by which NYC's non-medical COVID-19 hotel programs were selected, mobilized, and operated, including lessons learned. NYC agencies and organizations collaborated, creating an interagency initiative that activated hotels to provide safe isolation and quarantine spaces for those diagnosed with or exposed to COVID-19, aiming to reduce community spread, increase capacity for NYC's strained healthcare system, and mitigate interagency redundancy. Interagency groups addressed hotel challenges, including infection prevention and control; behavioral health, intellectual, and developmental disorders; social determinants of health; and coordination, operations, and planning. NYC's COVID-19 hotel program successfully supported overburdened hospitals by providing alternate locations for non-inpatient COVID-19 individuals. Community engagement required a methodical approach, balancing quality assurance with efficient access. An interagency coordinating body developed and shared clinical criteria for hotel admissions, infection prevention and control (IPC) procedures, and discharge plans, enhancing the program's ability to scale and address complex needs. Lessons learned from this program can be applied for smoother implementation of similar programs in the future.

African swine fever in wild boar: investigating model assumptions and structure.

African swine fever (ASF) is a highly virulent viral disease that affects domestic pigs and wild boar. Current ASF transmission in Europe is in part driven by wild boar populations, which act as a disease reservoir. Wild boar are abundant throughout Europe and are highly social animals with complex social organization. Despite the known importance of wild boar in ASF spread and persistence, knowledge gaps remain surrounding wild boar transmission. We developed a wild boar modelling framework to investigate the influence of contact-density functions and wild boar social structure on disease dynamics. The framework included an ordinary differential equation model, a homogeneous stochastic model and various network-based stochastic models that explicitly included wild boar social grouping. We found that power-law functions (transmission ∝ density0.5) and frequency-based contact-density functions were best able to reproduce recent Baltic outbreaks; however, power-law function models predicted considerable carcass transmission, while frequency-based models had negligible carcass transmission. Furthermore, increased model heterogeneity caused a decrease in the relative importance of carcass-based transmission. The transmission pathways predicted by each model type affected the efficacy of idealized interventions, which highlights the importance of evaluating model type and structure when modelling systems with significant uncertainties.

Decisions and Influential Factors Regarding Class-Specific School Closures Against Seasonal Influenza Outbreak.

Background One of the characteristics of school closure in Japan is class-specific school closure, which involves a reactive, short-term closure in the event of an infectious disease outbreak. These closures are implemented at each school in reaction to the annual seasonal influenza outbreaks. Very little research has addressed the formation of class-specific school closures to combat infectious diseases in elementary schools. We carried out a survey on factors involved in the decision to close classes and the determination of the timing and duration of class closures in elementary schools in Japan. Methods A mail-based questionnaire survey of elementary schools from four prefectures in western Japan was conducted between August and September 2021. The questions addressed the criteria for school closures (the timing and duration of class closure), various considerations, and confusion regarding class closures, with answers analyzed using descriptive statistical methods. Results In total, 714 elementary schools responded to the survey (37.9%). Furthermore, 398 (55.7%) schools established criteria for class closures during seasonal influenza. Class closure was most frequently initiated in schools with criteria when either 20% or 30% of class pupils were absent; the most common duration was three days. The duration of class closures was decided upon depending on the outbreak in some schools (69.8%), depending on the circumstances of the outbreak. Regarding class closure decisions, schools viewed school physicians' opinions as a priority, followed by school events, adjustments for Saturdays and Sundays, and Yogo teachers' opinions. Schools answering "no criteria for class closure" or "adjustments for Saturdays and Sundays" had difficulty determining class closure duration. Conclusion To guarantee the continuation of children's education and improve the effectiveness of preventive efforts against seasonal influenza, the following were considered important and helpful in class closure decision-making in elementary schools: scientific evidence, the school physician's opinion, and Yogo teachers' analysis of children's health information.

The public's considerations about implementing non-pharmaceutical interventions to manage a novel COVID-19 epidemic.

In the future, new variants of the SARS-CoV-2 virus might emerge and cause outbreaks. If this occurs, the implementation of non-pharmaceutical interventions (NPIs) can be reconsidered. Consideration of the potential benefits and harms of implementing NPIs, and ultimately deciding about implementing NPIs, is currently mainly executed by experts and governments. However, general literature on public engagement suggests that integrating public perspectives into decision-making can enhance the quality of decisions and foster greater public understanding of them. In this study, a deliberative mini-public was conducted to integrate this public perspective. The aim was to elicit public considerations regarding non-pharmaceutical interventions by asking a diverse group of citizens to participate as decision-makers and convene, learn and deliberate about implementing non-pharmaceutical interventions during a hypothetical outbreak of a new SARS-CoV-2 variant. Participants emphasized the importance of early implementation during the outbreak, to prevent exceeding healthcare capacity, long-term mental health issues, educational deficits, and bankruptcies. Additionally, participants stressed taking public support into account, and shared ideas on maintaining support. Furthermore, participants wanted to give citizens personal responsibility and freedom in making their own assessment regarding adherence to interventions and how much risk of infection they would be willing to accept. Participants also expressed the need for the government to adopt a learning attitude towards improvements in pandemic response, and to generate more focus on long-term strategies. The deliberative mini-public, revealed public considerations that reflected public values and needs. These considerations might be helpful in better aligning epidemic management policies with public perspectives. Regarding the deliberative mini-public, uncertainties remain about the design and impact on a bigger scale.

Real-time evaluation of a multi-agency TB-screening event for persons experiencing homelessness in a town with a low incidence of TB in England.

Real-time evaluation (RTE) supports populations (e.g., persons experiencing homelessness (PEH) to engage in evaluation of health interventions who may otherwise be overlooked. The aim of this RTE was to explore the understanding of TB amongst PEH, identify barriers/facilitators to attending screening for PEH alongside suggestions for improving TB-screening events targeting PEH, who have high and complex health needs. This RTE composed of free-text structured one-to-one interviews performed immediately after screening at a single tuberculosis (TB) screening event. Handwritten forms were transcribed for thematic analysis, with codes ascribed to answers that were developed into core themes. All RTE participants (n=15) learned about the screening event on the day it was held. Key concerns amongst screening attendees included: stigma around drug use, not understanding the purpose of TB screening, lack of trusted individuals/services present, too many partner organizations involved, and language barriers. Facilitators to screening included a positive welcome to the event, a satisfactory explanation of screening tests, and sharing of results. A need for improved event promotion alongside communication of the purpose of TB screening amongst PEH was also identified. A lack of trust identified by some participants suggests the range of services present should be reconsidered for future screening events.

Building pyramids against the evolutionary emergence of pathogens.

Mutations allowing pathogens to escape host immunity promote the spread of infectious diseases in heterogeneous host populations and can lead to major epidemics. Understanding the conditions that slow down this evolution is key for the development of durable control strategies against pathogens. Here, we use theory and experiments to compare the efficacy of three strategies for the deployment of resistance: (i) a mixing strategy where the host population contains two single-resistant genotypes, (ii) a pyramiding strategy where the host carries a double-resistant genotype, (iii) a combining strategy where the host population is a mix of a single-resistant genotype and a double-resistant genotype. First, we use evolutionary epidemiology theory to clarify the interplay between demographic stochasticity and evolutionary dynamics to show that the pyramiding strategy always yields lower probability of evolutionary emergence. Second, we test experimentally these predictions with the introduction of bacteriophages into bacterial populations where we manipulated the diversity and the depth of immunity using a Clustered Regularly Interspaced Short Palindromic Repeats-CRISPR associated (CRISPR-Cas) system. These biological assays confirm that pyramiding multiple defences into the same host genotype and avoiding combination with single-defence genotypes is a robust way to reduce pathogen evolutionary emergence. The experimental validation of these theoretical recommendations has practical implications in various areas, including for the optimal deployment of resistance varieties in agriculture and for the design of durable vaccination strategies.

Uncovering the secrets of resistance: An introduction to computational methods in infectious disease research.

Antimicrobial resistance (AMR) is a growing global concern with significant implications for infectious disease control and therapeutics development. This chapter presents a comprehensive overview of computational methods in the study of AMR. We explore the prevalence and statistics of AMR, underscoring its alarming impact on public health. The role of AMR in infectious disease outbreaks and its impact on therapeutics development are discussed, emphasizing the need for novel strategies. Resistance mutations are pivotal in AMR, enabling pathogens to evade antimicrobial treatments. We delve into their importance and contribution to the spread of AMR. Experimental methods for quantitatively evaluating resistance mutations are described, along with their limitations. To address these challenges, computational methods provide promising solutions. We highlight the advantages of computational approaches, including rapid analysis of large datasets and prediction of resistance profiles. A comprehensive overview of computational methods for studying AMR is presented, encompassing genomics, proteomics, structural bioinformatics, network analysis, and machine learning algorithms. The strengths and limitations of each method are briefly outlined. Additionally, we introduce ResScan-design, our own computational method, which employs a protein (re)design protocol to identify potential resistance mutations and adaptation signatures in pathogens. Case studies are discussed to showcase the application of ResScan in elucidating hotspot residues, understanding underlying mechanisms, and guiding the design of effective therapies. In conclusion, we emphasize the value of computational methods in understanding and combating AMR. Integration of experimental and computational approaches can expedite the discovery of innovative antimicrobial treatments and mitigate the threat posed by AMR.

Antimicrobial resistance in the United States: Origins and future directions.

Antimicrobial resistance (AMR) remains a critical public health problem that pervades hospitals and health systems worldwide. The ongoing AMR crisis is not only concerning for patient care but also healthcare delivery and quality. This article outlines key components of the origins of AMR in the United States and how it presents across the American healthcare system. Numerous factors contributed to the crisis, including agricultural antibiotic use, wasteful prescribing practices in health care, conflicting behaviours among patients and clinicians, patient demand and satisfaction, and payment and reimbursement models that incentivize inappropriate antibiotic use. To combat AMR, clinicians, healthcare professionals, and legislators must continue to promote and implement innovative solutions, including antibiotic stewardship programmes (ASPs), hand hygiene protocols, ample supply of personal protective equipment (PPE), standardized treatment guidelines for antibiotic prescribing, clinician and patient educational programmes, and health policy initiatives. With the rising prevalence of multi-drug resistant bacterial infections, AMR must become a greater priority to policymakers and healthcare stakeholders.

Navigating Japan's COVID-19 Vaccination Challenges: A Shift in Legal Classification and the Opt-out System.

On January 20, 2023, the Japanese government announced easing the legal handling of the novel coronavirus disease 2019 (COVID-19) under its Infectious Diseases Control Act, effective May 8, 2023. While free vaccines will continue in fiscal year 2023, the future of mass vaccinations remains uncertain. The opt-out system, wherein local governments schedule vaccinations on behalf of the residents, may potentially alleviate issues associated with the currently adopted opt-in approach, such as procedural intricacies and scheduling difficulties, thereby facilitating the recovery of vaccination rates and simultaneously addressing vaccine wastage concerns. Given that COVID-19 still presents a substantial risk to specific groups, such as the elderly, recognizing the benefits of the opt-out system and the ethical and geographical challenges it poses is essential. With the collaboration of local governments and healthcare institutions, ongoing surveillance and scientific assessment are indispensable.

Spatial and temporal trends of dengue infections in Curaçao: A 21-year analysis.

Dengue viruses are a significant global health concern, causing millions of infections annually and putting approximately half of the world's population at risk, as reported by the World Health Organization (WHO). Understanding the spatial and temporal patterns of dengue virus spread is crucial for effective prevention of future outbreaks. By investigating these patterns, targeted dengue surveillance and control measures can be improved, aiding in the management of outbreaks in dengue-affected regions. Curaçao, where dengue is endemic, has experienced frequent outbreaks over the past 25 years. To examine the spatial and temporal trends of dengue outbreaks in Curaçao, this study employs an interdisciplinary and multi-method approach. Data on >6500 cases of dengue infections in Curaçao between the years 1995 and 2016 were used. Temporal and spatial statistics were applied. The Moran's I index identified the presence of spatial autocorrelation for incident locations, allowing us to reject the null hypothesis of spatial randomness. The majority of cases were recorded in highly populated areas and a relationship was observed between population density and dengue cases. Temporal analysis demonstrated that cases mostly occurred from October to January, during the rainy season. Lower average temperatures, higher precipitation and a lower sea surface temperature appear to be related to an increase in dengue cases. This effect has a direct link to La Niña episodes, which is the cooling phase of El Niño Southern Oscillation. The spatial and temporal analyses conducted in this study are fundamental to understanding the timing and locations of outbreaks, and ultimately improving dengue outbreak management.

Association between face mask use and risk of SARS-CoV-2 infection: Cross-sectional study.

We examined the association between face masks and risk of infection with SARS-CoV-2 using cross-sectional data from 3,209 participants in a randomized trial exploring the effectiveness of glasses in reducing the risk of SARS-CoV-2 infection. Face mask use was based on participants' response to the end-of-follow-up survey. We found that the incidence of self-reported COVID-19 was 33% (aRR 1.33; 95% CI 1.03-1.72) higher in those wearing face masks often or sometimes, and 40% (aRR 1.40; 95% CI 1.08-1.82) higher in those wearing face masks almost always or always, compared to participants who reported wearing face masks never or almost never. We believe the observed increase in the incidence of infection associated with wearing a face mask is likely due to unobservable and hence nonadjustable differences between those wearing and not wearing a mask. Observational studies reporting on the relationship between face mask use and risk of respiratory infections should be interpreted cautiously, and more randomized trials are needed.

The value of manual backward contact tracing to control COVID-19 in practice, the Netherlands, February to March 2021: a pilot study.

BackgroundContact tracing has been a key component of COVID-19 outbreak control. Backward contact tracing (BCT) aims to trace the source that infected the index case and, thereafter, the cases infected by the source. Modelling studies have suggested BCT will substantially reduce SARS-CoV-2 transmission in addition to forward contact tracing.AimTo assess the feasibility and impact of adding BCT in practice.MethodsWe identified COVID-19 cases who were already registered in the electronic database between 19 February and 10 March 2021 for routine contact tracing at the Public Health Service (PHS) of Rotterdam-Rijnmond, the Netherlands (pop. 1.3 million). We investigated if, through a structured questionnaire by dedicated contact tracers, we could trace additional sources and cases infected by these sources. Potential sources identified by the index were approached to trace the source's contacts. We evaluated the number of source contacts that could be additionally quarantined.ResultsOf 7,448 COVID-19 cases interviewed in the study period, 47% (n = 3,497) indicated a source that was already registered as a case in the PHS electronic database. A potential, not yet registered source was traced in 13% (n = 979). Backward contact tracing was possible in 62 of 979 cases, from whom an additional 133 potential sources were traced, and four were eligible for tracing of source contacts. Two additional contacts traced had to stay in quarantine for 1 day. No new COVID-19 cases were confirmed.ConclusionsThe addition of manual BCT to control the COVID-19 pandemic did not provide added value in our study setting.

Infectious disease control: from health security strengthening to health systems improvement at global level.

Since the twenty first century, the outbreaks of global infectious diseases have caused several public health emergencies of international concern, imposing an enormous impact on population health, the economy, and social development. The COVID-19 pandemic has once again exposed deficiencies in existing global health systems, emergency management, and disease surveillance, and highlighted the importance of developing effective evaluation tools. This article outlines current challenges emerging from infectious disease control from the perspective of global health, elucidated through influenza, malaria, tuberculosis, and neglected tropical diseases. The discordance among government actors and absent data sharing platforms or tools has led to unfulfilled targets in health system resilience and a capacity gap in infectious disease response. The current situation calls for urgent action to tackle these threats of global infectious diseases with joined forces through more in-depth international cooperation and breaking governance barriers from the purview of global health. Overall, a systematic redesign should be considered to enhance the resilience of health systems, which warrants a great need to sustain capacity-building efforts in emergency preparedness and response and raises an emerging concern of data integration in the concept of One Health that aims to address shared health threats at the human-animal-environment interface.

Professional ethics for infectious disease control: moral conflict management in modern public health practice.

OBJECTIVES: Despite scientific evidence that confirms their effectiveness, use of vaccines and microbiological mass testing during the COVID-19 pandemic has been associated with social and moral controversies. In this commentary, it is suggested how such conflicts originating from moral/normative imperatives can be managed in infectious disease control. STUDY DESIGN: This was a commentary analysis. METHODS: A case example of scientific and public debate regarding infectious disease control and policy-making during the early pandemic response is first presented. The case is used to characterize how conflicts arising from moral constraints occurred during the COVID-19 pandemic. These features are thereafter used as a basis for outlining a strategy for moral conflict prevention and management. RESULTS: A challenge for infectious disease control throughout the pandemic was how to manage persuasive initiatives originating from social forces competing with science for influence. Purposively maneuvered information distributed through social media and internet websites could predispose population factions to contest legitimate (evidence and legally based) pandemic response measures. During the pandemic, fact-based criticism of professionals responsible for infectious disease control was mixed with a critique of their moral standards and intentions so as to diminish effectiveness and credibility. Such blending could be curtailed if infectious disease control professionals are made accountable for public health decisions made in the light of prevalent scientific evidence and legislation. CONCLUSIONS: If the infectious disease control community would embrace the international code of medical professional ethics, this would help to deal with moral conflicts, especially ones arising from external threats, in modern public health.

Concordance between COVID-19 mortality statistics derived from clinical audit and death certificates in Östergötland county, Sweden.

OBJECTIVES: Despite early notions that correct attribution of deaths caused by SARS-CoV-2 infection is critical to the understanding of the COVID-19 pandemic, three years later, the accuracy of COVID-19 death counts is still contested. We aimed to compare official death statistics with cause-of-death assessments made in a clinical audit routine by experienced physicians having access to the full medical record. STUDY DESIGN: Health service quality evaluation. METHODS: In Östergötland county (pop. 465,000), Sweden, a clinical audit team assessed from the start of the pandemic the cause of death in individuals having deceased after testing positive for SARS-CoV-2. We estimated the concordance between official data on COVID-19 deaths and data from the clinical audit using correlations (r) between the cause-of-death categories and discrepancies between the absolute numbers of categorised deaths. RESULTS: The concordance between the data sources was poor regarding whether COVID-19 was the underlying or a contributing cause of death. Grouping of the causes increased the correlations to acceptable strength. Also including deaths implicated by a positive SARS-CoV-2 test in the clinical categorisation of COVID-19 deaths reduced the difference in absolute number of deaths; with these modifications, the concordance was acceptable before the COVID-19 vaccination program was initiated (r = 0.97; symmetric mean absolute percentage error (SMAPE) = 19%), while a difference in the absolute numbers of deaths remained in the vaccination period (r = 0.94; SMAPE = 35%). CONCLUSIONS: This study highlights that carefulness is warranted when COVID-19 death statistics are used in health service planning and resonates a need for further research on cause-of-death recording methodologies.

Impact of health systems reform on COVID-19 control in Sierra Leone: a case study.

BACKGROUND: There are various impacts of COVID-19 on health systems of the world. The health systems of low- and middle-income countries are less developed. Therefore, they have greater tendencies to experience challenges and vulnerabilities in COVID-19 control compared to high-income countries. It is important to contain the spread of the virus, and likewise strengthen the capacity of health systems in order for the response to be effective and swift. The experience from 2014 to 2016 Ebola outbreak in Sierra Leone served as preparation for COVID-19 outbreak. The aim of this study is to determine how control of COVID-19 outbreak in Sierra Leone was enhanced by the lessons learned from 2014 to 2016 Ebola outbreak, and health systems reform. METHODS: We used data from a qualitative case study conducted in four districts in Sierra Leone through key informant interviews, focus group discussions, document, and archive record reviews. A total of 32 key informant interviews and 14 focus group discussions were conducted. A thematic analysis was used to analyze the data, and all transcripts were coded and analyzed with the aid of ATLAS.ti 9 software program. RESULTS: The six themes obtained were composed of categories that connect with each other and with codes to form networks. The analysis of the responses demonstrated that "Multisectoral Leadership and Cooperation", "Government Collaboration among International Partners", and "Awareness in the Community" were among the key interventions used during the control of 2014-2016 Ebola virus disease outbreak, which were applied in the control of COVID-19. An infectious disease outbreak control model was proposed based on the results obtained from the analysis of the lessons learned during the Ebola virus disease outbreak, and health systems reform. CONCLUSIONS: "Multisectoral Leadership and Cooperation", "Government Collaboration among International Partners" and "Awareness in the Community" are key strategies that enhanced the control of the COVID-19 outbreak in Sierra Leone. It is recommended that they are implemented in controlling COVID-19 pandemic or any other infectious disease outbreak. The proposed model can be used in controlling infectious disease outbreaks, especially in low- and middle-income countries. Further research is needed to validate the usefulness of these interventions in overcoming an infectious disease outbreak.

Risk-adjusted policies to minimise perioperative staffing shortages during a pandemic: An agent-based simulation study.

Healthcare workers' (HCWs) safety and availability to care for patients are critical during a pandemic such as the one caused by severe acute respiratory syndrome coronavirus 2. Among providers of different specialities, it is critical to protect those working in hospital settings with a high risk of infection. Using an agent-based simulation model, various staffing policies were developed and simulated for 90 days using data from the largest health systems in South Carolina. The model considers staffing policies that include geographic segregation, interpersonal contact limits, and a combination of factors, including the patient census, transmission rates, vaccination status of providers, hospital capacity, incubation time, quarantine period, and interactions between patients and providers. Comparing the existing practices to various risk-adjusted staffing policies, model predictions show that restricted teaming and rotating schedules significantly (p-value <0.01) reduced weekly HCW unavailability and the number of infected HCWs by 22% and 38%, respectively, when the vaccination rates among HCWs were lower (<75%). However, as the vaccination rate increases, the benefits of risk-adjusted policies diminish; and when 90% of HCWs were vaccinated, there were no significant (p-value = 0.09) benefits. Although these simulated outcomes are specific to one health system, our findings can be generalised to other health systems with multiple locations.