Trust-building in temporary public health partnerships: a qualitative study of the partnership formation process of a Covid-19 test, trace and protect service.

BACKGROUND: Public health initiatives require coordinated efforts from healthcare, social services and other service providers. Organisational theory tells us that trust is essential for reaching collaborative effectiveness. This paper explores the drivers for initiating and sustaining trust in a temporary public health partnership, in response to a sudden health threat. METHODS: This qualitative study analysed the formation process of a multisector partnership for a Covid-19 contact tracing service. Data was collected through 12 interviews, two focus groups, one feedback workshop, and an online survey with workforce members from all seven partner organisations. Purposive maximum variation sampling was used to capture the reflections and experiences of workforce members from all seven partner organisations. A deductive code scheme was used to identify drivers for building and sustaining trust in inter-organisational collaboration. RESULTS: Relational mechanisms emanating from the commitment to the common aim, shared norms and values, and partnership structures affected trust-building. Shared values and the commitment to the common aim appeared to channel partners' behaviour when interacting, resulting in being perceived as a fair, reliable and supportive partner. Shared values were congruent with the design of the partnership in terms of governance structure and communication lines reflecting flat hierarchies and shared decision-making power. Tensions between partner organisations arose when shared values were infringed. CONCLUSIONS: When managing trust in a collaboration, partners should consider structural components like governance structure, organisational hierarchy, and communication channels to ensure equal power distribution. Job rotation, recruitment of candidates with the desired personality traits and attitudes, as well as training and development, encourage inter-organisational networking among employees, which is essential for building and strengthening relationships with partner organisations. Partners should also be aware of managing relational dynamics, channelling behaviours through shared values, objectives and priorities and fostering mutual support and equality among partner organisations.

Suicide prevention in Hong Kong: pushing boundaries while building bridges.

Hong Kong is a natural laboratory for studying suicides-small geographic footprint, bustling economic activity, rapidly changing socio-demographic transitions, and cultural crossroads. Its qualities also intensify the challenges posed when seeking to prevent them. In this viewpoint, we showed the research and practices of suicide prevention efforts made by the Hong Kong Jockey Club Centre for Suicide Research and Prevention (CSRP), which provide the theoretical underpinning of suicide prevention and empirical evidence. CSRP adopted a multi-level public health approach (universal, selective and indicated), and has collaboratively designed, implemented, and evaluated numerous programs that have demonstrated effectiveness in suicide prevention and mental well-being promotion. The center serves as a hub and a catalyst for creating, identifying, deploying, and evaluating suicide prevention initiatives, which have the potential to reduce regional suicides rates when taken to scale and sustained.

Deaths in Immigration and Customs Enforcement (ICE) detention: A Fiscal Year (FY) 2021-2023 update.

Background: This study describes the deaths of individuals in Immigration and Customs Enforcement (ICE) detention between FY2021-2023, updating a report from FY2018-2020, which identified an increased death rate amidst the COVID-19 pandemic. Methods: Data was extracted from death reports published online by ICE. Causes of deaths were recorded, and death rates per 100,000 admissions were calculated using population statistics reported by ICE. Reports of individuals released from ICE custody just prior to death were also identified and described. Results: There were 12 deaths reported from FY2021-2023, compared to 38 deaths from FY2018-2020. The death rate per 100,000 admissions in ICE detention was 3.251 in FY2021, 0.939 in FY2022, and 1.457 in FY2023, compared with a pandemic-era high of 10.833 in FY2020. Suicide caused 1 of 12 (8.3%) deaths in FY2021-2023 compared with 9 of 38 (23.7%) deaths in FY2018-2020. COVID-19 was contributory in 3 of 11 (25%) medical deaths in FY2021-2023, compared with 8 of 11 (72.7%) in the COVID-era months of FY2020 (p = 0.030). Overall, 4 of 11 (36.3%) medical deaths in FY2021-2023 resulted from cardiac arrest in detention facilities, compared with 6 of 29 (20.3%) in FY2018-2020. Three deaths of hospitalized individuals released from ICE custody with grave prognoses were identified. Conclusions: The death rate among individuals in ICE custody decreased in FY2021-2023, which may be explained in part by the release of vulnerable individuals following recent federal legal determinations (e.g., Fraihat v. ICE). Identification of medically complex individuals released from ICE custody just prior to death and not reported by ICE indicates that reported deaths underestimate total deaths associated with ICE detention. Attentive monitoring of mortality outcomes following release from ICE custody is warranted.

Health in Persons Deprived of Their Liberty in South America: A Painful Reflection of Our Public Health.

Objectives: To describe sociodemographic characteristics and health-related data in persons deprived of liberty (PDL) from South America in the last five years. Methods: Documentary descriptive study. Results: There are 1.5 million PDL in Latin America and the Caribbean; the average overcrowding is 64%; 58% do not sleep in beds, 20% do not have access to clean water and 29% do not receive medical care. In Peru, during 2021, there were 87,245 PDL and 69 penal institutions. The national average overcrowding is 120%, the second-highest in South America. In South America, the prevalence of tuberculosis is 2.0% SD = 0.64 and the median of illegal substances prevalence is 34.6 (IQR = 7.5-41.4). In Peru, the prevalence of tuberculosis has decreased since 2016 (4.3%), 2018(3.5%), and 2021(2.5%). Among the health problems by country, there were more data on substance use: 8/10, and tuberculosis, 7/10 countries. Cardiovascular diseases had the least available data. Regarding COVID-19, during the first wave in Peru, 54% of the total PPL were infected, and by the end of the wave, 446 PDL and 46 members of the prison staff had died. In Colombia, between April and October 2020, there were 16,804 cases (80 in ICU) and 136 deaths. In Brazil, up to March 2021, 340 people had died, and there were over 67,000 infections. Conclusions: Overcrowding is an unresolved problem; tuberculosis and substance use are the most frequent issues. Data are limited in quality, homogeneity and availability. Greater effort is needed from health authorities to improve health management and information systematization. Source: MesH.

Possible Risk Factors and Their Potential Associations with Combined Heavy Metal Exposures in Pregnant Women in the Republic of Suriname.

Background: The exposure of pregnant women to multiple environmental pollutants may be more disadvantageous to birth outcomes when compared to single-compound contaminations. Objective: This study investigated the mixed exposures to mercury, manganese, or lead in 380 pregnant Surinamese women. The factors that might be associated with the heavy metal exposures and the relative risk of the potential factors to cause the mixed exposures were explored. The influencing factors of exposures to mixed contaminants assessed were living in Suriname's rural regions, several parts of which are contaminated with heavy metals emitted from artisanal and small-scale gold mining and agricultural activities; the consumption of potentially contaminated foods; advanced maternal age; as well as a relatively low formal educational level and monthly household income. Methods: Descriptive statistics were used to calculate frequency distributions and χ2-contingency analyses to calculate associations and relative risks (RR) with 95% confidence intervals (CI). Findings: Blood levels of two or three of the heavy metals above public health limits were observed in 36% of the women. These women were more often residing in the rural regions, primarily consumed potentially contaminated food items, were 35 years or older, were lower educated, and more often had a lower household income. However, only living in the rural regions (RR = 1.48; 95% CI 1.23-1.77) and a low household income (RR = 1.38; 95% CI 1.15-1.66) significantly increased the risk of exposure exceeding levels of concern to two or three of the heavy metals (by 48% and 38%, respectively). Conclusion: More comprehensive pharmacological, ecological, and epidemiological studies about exposures to mixed heavy metal contaminations in pregnant women are warranted.

Knowledge of and Attitudes Toward Hearing Loss Among Primary Care Physicians in the Public Health Sector of Mauritius.

Introduction Primary care physicians are essential first points of contact for patients with hearing loss. Thus, knowledge of hearing loss and related aspects is essential to ensure the optimal management of individuals with suspected hearing loss. Objective This study aimed to determine the knowledge of and attitudes toward hearing loss among primary care physicians in the public health sector in Mauritius. Methods In this cross-sectional descriptive cohort study, 320 primary care physicians completed an online questionnaire adapted from previous questionnaires on knowledge of and attitudes toward hearing loss. Responses were analyzed using descriptive statistics and cross-sectional analyses. Results Primary care physicians showed limited knowledge of hearing loss in areas such as early identification and intervention, professionals responsible for hearing assessments, and hearing tests used for assessing hearing sensitivity. However, the responses also showed positive attitudes toward hearing loss. Significant associations between knowledge of and attitudes toward hearing loss were obtained regarding the type of physician, length of practice, and department posted in. Ear, nose, and throat specialists, as well as pediatricians, demonstrated significantly higher scores for both knowledge of and positive attitudes toward hearing loss. Conclusions The findings highlight a strong need for ongoing medical education to spread awareness about hearing loss among primary care physicians in the public health sector of Mauritius.

Cardiovascular mortality attributable to dietary risk factors in 54 countries in the WHO European Region from 1990 to 2019: an updated systematic analysis of the Global Burden of Disease Study.

This study aimed to estimate the association between single dietary risk factors and cardiovascular diseases (CVDs) in the WHO European Region (WHO ER) by age and sex using the data of the Global Burden of Diseases Study (GBD) from 1990 to 2019. For this purpose, 13 dietary risks and 13 forms of CVDs were included in the study, and the comparative risk assessment framework of the GBD was used to estimate the deaths attributable to them. The study included four regions, with a total of 54 countries. In 2019, 1.55 million (95% UI, 1.2-1.9 million) people in the WHO ER died from CVDs attributable to suboptimal diet. Diet-related CVD deaths (DRCDs) accounted for 16.4% of total deaths and 36.7% of CVD deaths in 2019. Between 1990 and 2019, there was a DRCDs reduction of 8.1% and the age-standardised death rate decreased. The deaths were almost equally distributed between women (777,714 deaths) and men (772,519 deaths). The distribution of death numbers between the sexes has changed only slightly over the study period. The largest percentage across the age groups were found in the group 85+ years (32.1%). Most DRCDs in the WHO ER were caused by a diet low in whole grains (326,755 deaths), followed by a diet low in legumes (232,918 deaths) and a diet high in sodium (193,713 deaths). Overall, 80.3% of deaths were due to ischaemic heart disease, which was the most common cause of death in all countries.

This study aimed to estimate the association between single dietary risk factors and cardiovascular diseases (CVD) in the WHO European Region (WHO ER) by age and sex using the data of the Global Burden of Diseases Study from 1990 to 2019. Key findings:In 2019, 1.55 million people in the WHO ER died from diet-related CVD deaths (DRCDs), which accounted for 16.4% of total deaths and was a DRCDs reduction of 8.1% since 1990.Most DRCDs in the WHO ER were caused by a diet low in whole grains, followed by a diet low in legumes and a diet high in sodium.

Educational needs of community visiting nurses for infection prevention and control: Application of the Borich needs assessment and the Locus for Focus models.

OBJECTIVES: This study aimed to assess the educational needs and analyze the priorities of infection prevention and control (IPC) for community-visiting nurses. DESIGN: This is a cross-sectional descriptive study. SAMPLE: This study was conducted with 144 visiting nurses working in public health centers and long-term care facilities in South Korea. METHOD: A total of 23 questions in five subcategories were used to measure the current knowledge and perceived importance of IPC in community-visiting nursing. Data were collected from June 23 to October 30, 2021, during the COVID-19 pandemic. Data were analyzed paired t-test, the Borich needs assessment, and the Locus for Focus models. RESULTS: Top-priority content was defined as content belonging to two models, the first 10 contents of Borich needs assessment and the contents located in the Quadrant I of the Locus for Focus models. "Reporting in case of infection-related accidents," "Mandatory vaccination for visiting nurses," "Standard precaution," "Airborne precaution," "Contact precautions," "Respiratory infection control," and "Post-visit management." CONCLUSIONS: This study suggests that it is necessary to provide visiting nurses with more opportunities for IPC education and to develop standardized IPC programs that consider educational priorities.

A Contemporary Framework Update for Today's School Nursing Landscape: Introducing the School Nursing Practice Framework™.

School nursing is a unique nursing specialty that benefits from a practice framework that aids school nurses in explaining and accomplishing their role. In 2016, the NASN debuted its Framework for 21st Century School Nursing Practice™, which has shaped school nursing practice as well as education, leadership, research, and collaboration with stakeholders. However, practice frameworks are not meant to remain the same indefinitely. Therefore, NASN evaluated and updated the Framework to ensure its continued alignment with the education and healthcare landscape. The purpose of this article is to share the history of the Framework for 21st Century School Nursing Practice™ development, provide the rationale for the update, and discuss the strategic process NASN used to update its Framework now entitled the School Nursing Practice Framework™.

Knowledge and Public Perception of Palliative Care in Germany.

Background: Literature reviews reveal poor knowledge and awareness of palliative care in the public. Health literacy deficits impact access to palliative care. Objectives: The aim of this manuscript is to explore the public perception of palliative care in Germany. Design: Triangulated qualitative research design: a snowball-spread online survey and a random pedestrian survey. Setting/Subjects: Citizens in Germany. Results: The pedestrian survey (n = 100) revealed 34% of the participants being not familiar with palliative care. The online survey (n = 994) 5.7% of participants reported to not know what palliative care was. The public's perception of palliative care is mainly medicine oriented, referring to inpatient care for the immediately dying; however, further significant misperceptions were scarce. Conclusions: The public perception shows an indistinct picture of palliative care, and some misconceptions about the objectives and areas of responsibility of the subject, meanwhile, palliative care is known to a majority of people. Understanding partly incomplete pictures of patients and relatives may help to react appropriately in staff-patient interactions and improve public relations.

Advocating for population health: The role of public health practitioners in the age of artificial intelligence.

Over the past decade, artificial intelligence (AI) has begun to transform Canadian organizations, driven by the promise of improved efficiency, better decision-making, and enhanced client experience. While AI holds great opportunities, there are also near-term impacts on the determinants of health and population health equity that are already emerging. If adoption is unregulated, there is a substantial risk that health inequities could be exacerbated through intended or unintended biases embedded in AI systems. New economic opportunities could be disproportionately leveraged by already privileged workers and owners of AI systems, reinforcing prevailing power dynamics. AI could also detrimentally affect population well-being by replacing human interactions rather than fostering social connectedness. Furthermore, AI-powered health misinformation could undermine effective public health communication. To respond to these challenges, public health must assess and report on the health equity impacts of AI, inform implementation to reduce health inequities, and facilitate intersectoral partnerships to foster development of policies and regulatory frameworks to mitigate risks. This commentary highlights AI's near-term risks for population health to inform a public health response.

RéSUMé: Au cours de la dernière décennie, l'intelligence artificielle (IA) a commencé à transformer les organismes canadiens en leur promettant une plus grande efficience, de meilleurs processus décisionnels et une expérience client enrichie. Bien qu'elle recèle d'immenses possibilités, l'IA aura des effets à court terme ­ qui se font d'ailleurs déjà sentir ­ sur les déterminants de la santé et sur l'équité en santé des populations. Si son adoption n'est pas réglementée, il se peut très bien que les iniquités en santé continuent d'être exacerbées par les préjugés, intentionnels ou non, ancrés dans les systèmes d'IA. Les nouvelles possibilités économiques pourraient être démesurément exploitées par les travailleurs et les travailleuses déjà privilégiés et par les propriétaires des systèmes d'IA, renforçant ainsi la dynamique de pouvoir existante. L'IA pourrait aussi nuire au bien-être des populations en remplaçant les interactions humaines au lieu de favoriser la connexité sociale. De plus, la mésinformation sur la santé alimentée par l'IA pourrait réduire l'efficacité des messages de santé publique. Pour relever ces défis, la santé publique devra évaluer et communiquer les effets de l'IA sur l'équité en santé, en modérer la mise en œuvre pour réduire les iniquités en santé, et faciliter des partenariats intersectoriels pour éclairer l'élaboration de politiques et de cadres réglementaires d'atténuation des risques. Le présent commentaire fait ressortir les risques à court terme de l'IA pour la santé des populations afin d'éclairer la riposte de la santé publique.

Associations of U.S. state-level COVID-19 policies intensity with cannabis sharing behaviors in 2020.

BACKGROUND: Cannabis use before the COVID-19 pandemic for many involved sharing prepared cannabis for inhalation, practices that were less prevalent during the pandemic. State-level COVID-19 containment policies may have influenced this decrease. This study examined the extent to which the intensity of state-level COVID-19 policies were associated with individual-level cannabis sharing. Findings have the potential to guide harm reduction policies for future respiratory pandemics and seasonal respiratory virus waves. METHODS: This study used cross-sectional individual-level data from the COVID-19 Cannabis Study, an anonymous U.S.-based web survey on cannabis use disseminated during the early phase of the pandemic (Full sample N = 1,883). We combined individual-level data with state-level policy data from Kaiser Family Foundation's State COVID-19 Data and Policy Actions for three time-points from June to August 2020 that overlapped with the survey period. Cannabis sharing was dichotomized as any versus no sharing. We adapted a previously published coding framework to score the intensity of COVID-19 policies implemented in each U.S. state and averaged the policy score across the time period. We then used Poisson regression models to quantify the associations of the average state-level COVID-19 policy score with cannabis sharing during the pandemic. RESULTS: Participants (n = 925) reporting using inhalation as a mode for cannabis use were included in this analysis. Most respondents were male (64.1%), non-Hispanic White (54.3%), with a mean age of 33.7 years (SD 8.8). A large proportion (74.9%) reported sharing cannabis during the pandemic. Those who shared cannabis more commonly lived in states with a lower average policy score (16.7, IQR 12.3-21.5) compared to those who did not share (18.6, IQR 15.3-25.3). In adjusted models, the prevalence ratio of any cannabis sharing per every 5-unit increase in the average COVID-19 policy score was 0.97 (95% CI 0.93, 1.01). CONCLUSIONS: Fewer individuals shared cannabis in states with more intense COVID-19 containment policies compared to those in states with less intense policies. Individuals who use cannabis may be willing to make changes to their behavior and may further benefit from specific and directed public health messaging to avoid sharing during respiratory infection outbreaks.

Effects of a single session low-threshold digital intervention for procrastination behaviors among university students (Focus): Findings from a randomized controlled trial.

Introduction: Procrastination behaviors are common among university students, and have been found to be associated with stress, symptoms of depression, anxiety, and poorer academic performance. There is a need for interventions that can reach students at scale, and therefore this study aimed to estimate the effects of a single session low-threshold digital intervention (Focus) for procrastination behaviors among university students in Sweden. Methods and analysis: A two-arm, parallel groups (1:1), single blind randomized controlled trial was conducted between February 8 to April 26, 2023. The study used email to invite university students across Sweden to participate in the trial. Both the intervention and the control group were invited to assess their current procrastination behaviors using the Pure Procrastination Scale (PPS). The intervention group immediately received feedback and behavior change advice by means of an interactive website, while the control group was shown their total PPS score without any further feedback. Students were included in the study if they scored 20 points or more on the PPS. Our primary outcome was procrastination behavior measured at 2 months post-randomization. Analyses were conducted using multilevel regression models estimated with Bayesian inference. Results: A total of 2209 participants (intervention: 1109, control: 1100) were randomized. The average age of participants was 26.4 years (SD = 7.8) and 65 % were women (n = 1442). The mean PPS score at baseline was 35.6 points (of a maximum of 60). Primary outcome data were available for 45 % (n = 498) of the intervention group and 55 % (n = 601) of the control group. The evidence suggested no marked difference between groups regarding any of the outcomes, although there was weak evidence of lower physical activity in the intervention group. Qualitative findings from open-ended responses uncovered a variety of views on procrastination and perceived problems that may follow. Those not feeling supported by Focus explained having troubles adopting the advice given and converting their intentions into action without more continuous support. Conclusions: Access to a single session of feedback and behavior change advice by means of an interactive website did not produce differential self-reported procrastination among university students who took the opportunity to self-assess their behaviors. The findings are limited by assessment reactivity due to screening at baseline and attrition to follow-up.

Addressing the Challenge: A Review of Effective Prevention Strategies for Childhood Obesity in India.

Childhood obesity is a growing public health concern in India, with rising prevalence rates and associated health risks. This review examines effective prevention strategies for addressing this issue. Through a comprehensive analysis of research findings, policy initiatives, and community-based interventions, the review identifies critical components of successful prevention efforts. These include multi-sectoral collaborations, tailored interventions addressing socioeconomic and cultural factors, and the involvement of families and healthcare professionals. The importance of addressing childhood obesity in India is underscored, given its significant impact on health outcomes, healthcare costs, and quality of life. The review concludes with a call to action for stakeholders and policymakers to prioritise prevention efforts, allocate resources, and implement evidence-based interventions to combat childhood obesity effectively. By working together, India can mitigate the adverse effects of childhood obesity and promote a healthier future for its children.

Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health research.

This research project explored into the intricacies of road traffic accidents severity in the UK, employing a potent combination of machine learning algorithms, econometric techniques, and traditional statistical methods to analyse longitudinal historical data. Our robust analysis framework includes descriptive, inferential, bivariate, multivariate methodologies, correlation analysis: Pearson's and Spearman's Rank Correlation Coefficient, multiple logistic regression models, Multicollinearity Assessment, and Model Validation. In addressing heteroscedasticity or autocorrelation in error terms, we've advanced the precision and reliability of our regression analyses using the Generalized Method of Moments (GMM). Additionally, our application of the Vector Autoregressive (VAR) model and the Autoregressive Integrated Moving Average (ARIMA) models have enabled accurate time series forecasting. With this approach, we've achieved superior predictive accuracy and marked by a Mean Absolute Scaled Error (MASE) of 0.800 and a Mean Error (ME) of -73.80 compared to a naive forecast. The project further extends its machine learning application by creating a random forest classifier model with a precision of 73%, a recall of 78%, and an F1-score of 73%. Building on this, we employed the H2O AutoML process to optimize our model selection, resulting in an XGBoost model that exhibits exceptional predictive power as evidenced by an RMSE of 0.1761205782994506 and MAE of 0.0874235576229789. Factor Analysis was leveraged to identify underlying variables or factors that explain the pattern of correlations within a set of observed variables. Scoring history, a tool to observe the model's performance throughout the training process was incorporated to ensure the highest possible performance of our machine learning models. We also incorporated Explainable AI (XAI) techniques, utilizing the SHAP (Shapley Additive Explanations) model to comprehend the contributing factors to accident severity. Features such as Driver_Home_Area_Type, Longitude, Driver_IMD_Decile, Road_Type, Casualty_Home_Area_Type, and Casualty_IMD_Decile were identified as significant influencers. Our research contributes to the nuanced understanding of traffic accident severity and demonstrates the potential of advanced statistical, econometric, machine learning techniques in informing evidence based interventions and policies for enhancing road safety.

Differences of nutritional intake habits and Dietary Inflammatory Index score between occupational classifications in the Korean working population.

Background: Human nutrient intake is closely related to the conditions of their workplace. Methods: This study used data from the Korean National Health and Nutritional Examination Survey (KNHANES) conducted between 2016 and 2020. The study population comprised individuals aged 19 to 65 years who were engaged in paid work, excluding soldiers (total = 12,201, male = 5,872, female = 6,329). The primary outcome of interest was the Dietary Inflammatory Index (DII) score, which was calculated using dietary intake data. Generalized linear models were used for statistical analyses. Results: Pink-collar workers had higher DII scores, indicating a potentially higher inflammatory diet than white-collar workers (mean: 2.18 vs. 1.89, p < 0.001). Green and blue-collar workers displayed lower levels of dietary inflammation (green: 1.64 vs. 1.89, p = 0.019, blue: 1.79 vs. 1.89, p = 0.022). After adjusting for sex, age, income, education, and energy intake, the sole trend that persisted was the comparison between white-collar and pink-collar workers. Conclusions: DII scores and dietary patterns differed among occupational groups and genders.

The burden and management competency of cardiomyopathies in China: a nationwide survey study.

Background: The public health burden of cardiomyopathies and competency in their management by health agencies in China are not well understood. Methods: This study adopted a multi-stage sampling method for hospital selection. In the first stage, nationwide tertiary hospital recruitment was performed. As a result, 88 hospitals with the consent of the director of cardiology and access to an established electronic medical records system, were recruited. In the second stage, we sampled 66 hospitals within each geographic-economic stratification through a random sampling process. Data on (1) the outpatient and inpatient visits for cardiomyopathies between 2017 and 2021 and (2) the competency in the management of patients with cardiomyopathies, were collected. The competency of a hospital to provide cardiomyopathy care was evaluated using a specifically devised scale. Findings: The outpatient and inpatient visits for cardiomyopathies increased between 2017 and 2021 by 38.6% and 33.0%, respectively. Most hospitals had basic facilities for cardiomyopathy assessment. However, access to more complex procedures was limited, and the integrated management pathway needs improvement. Only 4 (6.1%) of the 66 participating hospitals met the criteria for being designated as a comprehensive cardiomyopathy center, and only 29 (43.9%) could be classified as a primary cardiomyopathy center. There were significant variations in competency between hospitals with different administrative and economic levels. Interpretation: The health burden of cardiomyopathies has increased significantly between 2017 and 2021 in China. Although most tertiary hospitals in China can offer basic cardiomyopathy care, more advanced facilities are not yet universally available. Moreover, inconsistencies in the management of cardiomyopathies across hospitals due to differing administrative and economic levels warrants a review of the nation allocation of medical resources. Funding: This work was supported by the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2023-I2M-1-001) and the National High Level Hospital Clinical Research Funding (2022-GSP-GG-17).

Predominance of the Blastocystis subtype ST5 among free-living sympatric rodents within pig farms in China suggests a novel transmission route from farms.

Blastocystis is a parasitic protist that can infect humans and various domestic and wild animals. However, there is limited research on the prevalence of this parasite among rodents, particularly those living in pig farm settings. Therefore, to investigate the occurrence, molecular characterization, and zoonotic potential of Blastocystis among rodents within pig farm environments, we conducted an investigation of 227 rodents and shrews from 34 pig farms located in Henan, Shaanxi, and Shanxi provinces of China using nested PCR of the SSU rRNA gene of Blastocystis. The potential transmission and public health implications were also assessed from a One Health perspective. Blastocystis was detected in 86 (37.9%) fecal samples. The highest infection rate was observed among Ruttus norvegicus (73.7%, 42/58), followed by Ruttus tanezumi (30.1%, 41/136), and Mus musculus (12.0%, 3/25). However, it was not detected among individuals with Apodemus agrarius (n = 1) and Crocidura shantungensis (n = 7). Five known zoonotic Blastocystis subtypes (ST1-ST5) were identified, with ST4 (51.2%, 44/86) and ST5 (40.7%, 35/86) being the predominant ones, followed by ST1 (3.5%, 3/86), ST3 (3.5%, 3/86), and ST2 (1.2%, 1/86). ST4 was prevalent among R. norvegicus (83.3%, 35/42), while ST5 dominated R. tanezumi (70.7%, 29/41). Furthermore, ST5 exhibited the widest distribution at pig farm level, accounting for 65.0% (13/20) of Blastocystis-positive pig farms. This investigation presents the first documented Blastocystis infection in R. tanezumi and M. musculus, highlighting the predominant presence of the zoonotic ST5 subtype in rodents for the first time. The results demonstrate that sympatric rodents can serve as natural reservoirs for Blastocystis and play a role in its transmission. These findings provide information on the dynamics of rodent transmission and emphasize the potential public health threat posed by zoonotic Blastocystis subtypes spillover from pig farms.

Pima County COVID-19 vaccine solutions dashboard project: lessons learned.

Recent improvements in the accessibility of mapping tools and an increased recognition of the importance of leveraging data to inform public health operations has led to enthusiasm among public health departments to rapidly evolve their ability to analyze and apply data to programs. As the COVID-19 pandemic made evident, many health department data systems have been neglected for decades and data literacy among staff low. Significant federal dollars have been allocated to local health departments to modernize health systems. This case study recounts the effort to equip the Pima County Health Department with a highly sophisticated "COVID-19 Vaccines Solutions Dashboard" in 2021-2022, quantifying community vulnerability in the midst of the COVID-19 pandemic and shares key successes and challenges in process and outcomes that can guide other such dashboard initiatives. The experience informed the development of Pima' County Health Department's Data & Informatics Team as well as efforts to cultivate a more robust data culture throughout the department. Many health departments around the United States are in a similar position, and these lessons learned are widely applicable.