Health Metrics Research Articles

Racial, Ethnic, and Geographic Disparities in Digestive Diseases Mortality in the United States, 2000–2019

Background and aimThe global burden of digestive diseases mortality has been increasing over the last three decades. However, little is known about disparities in digestive diseases-specific mortality in the United States. This study aimed to examine racial, ethnic, state- and county-level disparities in digestive diseases mortality rate in the United States between 2000-2019. MethodsWe used the Institute of Health Metrics and Evaluation, Global Health Data Exchange to gather digestive diseases age-standardized mortality rates for five racial and ethnic groups (White, Black, Latino, American-Indian/Alaska Native [AIAN], and Asian-Pacific Islanders [API]) by sex, state, and county between 2000-2019. We used joinpoint regression analysis to evaluate the overall temporal trends by demography. ResultsThe overall cause-specific mortality rate decreased from 36.0 to 34.5 deaths per 100,000 population across all groups (2000-2019). In 2019, AIAN individuals had the highest mortality rate (86.2), followed by White (35.5), Latino and Black (both at 33.6), and API individuals (15.6). Significant increases occurred across some of the racial and ethnic groups, with an increased average annual percentage change (AAPC2000-2019) among AIAN (0.87%, 95% CI: 0.77-0.97) and White individuals (0.12%, 0.02-0.22) particularly among females, while Latino, Black, and API individuals showed reduced AAPC2000-2019. AIAN constitutes the main race affected in the top ten counties. Substantial state-level variation emerged, with the highest mortality rates in 2019 seen in West Virginia. ConclusionsDespite an overall decrease in digestive diseases mortality, significant disparities persist across racial and ethnic groups. AIAN and White individuals experienced increased mortality rates, particularly among females. Targeted interventions and further research are needed to address these disparities and improve digestive health equity.

Taking a health economic perspective in monitoring health inequalities: A focus on excess weight

BackgroundTraditional approaches to monitoring health inequalities predominantly rely on headcount methods. However, these methods fail to reflect the non-linear health economic implications of changes in disease severity. Alternative, distribution-sensitive metrics are available which could more adequately inform financial planning and policy decision making. MethodsWe describe the design of the Foster-Greer-Thorbecke (FGT) index, and discuss its relative merits as a summary monitoring metric of health inequalities in the population, compared to the Erreygers concentration index. We illustrate the FGT index by conducting a comparative longitudinal analysis of adult excess inequalities in England using Health Survey for England data from 2009 to 2019. FindingsExcess weight inequalities have steadily increased in the English adult population, especially over the last five years. Going beyond headcount, the FGT index analyses revealed that, unlike the rest of the population, the average overweight adult from the most socio-economically deprived group is either obese (30.3 BMI for females) or at the brink of obesity (29.1 BMI for males). These results underscore a deepening divide in obesity severity between communities, with the most socioeconomically deprived groups being increasingly and disproportionally affected. Conclusions: The FGT index can address some shortcomings of traditional approaches to inequality measurement and local governments should consider adopting it as an alternative population health metric. Future research should apply and develop more refined distribution-sensitive measures of health inequality.

STUDY OF THE DEGREE OF CORRELATION BETWEEN CLINICAL, NEUROLOGICAL, NEUROPHYSIOLOGICAL SYMPTOMS OF HEADACHE IN WOMEN OF THE KASHKADARYA REGION AND ASSESSMENT OF THE PROGNOSIS OF DISEASE COMPLICATIONS

Background. Headache is one of the most common symptoms occurring in various diseases for which one should seek medical attention from a neurologist. Bo is the most common form of pain in the world. According to the Washington State Institute for Health Metrics and Evaluation, there were 1.89 billion cases of tension-type headache worldwide in 2016. According to the International Classification of Headache Revision 3 (ISGB-3, 2018), primary pain, in which no organic cause is identified, and secondary pain are due to organic damage to the central nervous system (CNS) or somatic diseases. Craniocerebral tension (CCN) includes a group of other primary cephalgias associated with migraines, autonomic trigeminal cephalgias, and various conditions.

Considerations for US coverage and reimbursement: Which digital health products to evaluate? Findings from a modified Delphi study.

The rapid growth of digital health tools, including digital applications, wearables, sensors, diagnostics, digital therapeutics (DTx), and prescription DTx, offers new ways to treat patients and close gaps in care. Payers need transparent, credible, and efficient processes to differentiate products for potential reimbursement from the larger universe of digital health products. To identify areas of agreement, disagreement, and rationale for payers to determine which digital health products should be evaluated for formulary consideration and to develop generalizable criteria for health care decision-makers developing policies and approaches for digital health products. Experts from the Academy of Managed Care Pharmacy DTx Advisory Group Payer Evaluation subcommittee rated whether a pharmacy and therapeutics committee, health technology assessment group, or an innovation center within a health plan or pharmacy benefit manager should consider 14 hypothetical products for potential formulary coverage. Using a 4-step modified Delphi approach, experts rated whether it was appropriate for a payer to evaluate each product on a scale of 1 (strongly disagree) to 9 (strongly agree). Quantitative agreement was assessed using terciles of responses, medians, and the distribution of appropriateness scores. The corresponding discussions are summarized to identify generalizable criteria for payers to consider as they develop approaches to determine which digital health products to evaluate. Among the 14 hypothetical products, 4 achieved quantitative agreement that payers should evaluate the product. 5 products had quantitative disagreement, and the remaining were indeterminant. Payers were most likely to review a product if it (1) was reviewed by the US Food and Drug Administration, (2) required a prescription, (3) was intended to be paid for using premium dollars, (4) treated rather than diagnosed or monitored a clinical condition, (5) had a low clinical opportunity cost, and (6) could address population health metrics. The rapid availability of digital health and DTx options can be daunting for health care decision-makers when determining which products to evaluate. These generalizable criteria can help payers develop a more efficient process.

BIOPHILIC DESIGN ELEMENTS AND NATURAL MATERIALS IN HEALTHCARE ENVIRONMENTS

ABSTRACT Biophilic design elements in healthcare environments increase the connection between the built environment and its local natural environment and have been shown to improve the psychological and physiological well-being of patients and medical staff. Similarly, natural materials, which are part of the biophilic paradigm, have been shown to enhance the indoor qualities of habitable spaces. Despite these advantages, existing research on biophilia and natural materials in healthcare design has been mostly focused on specific case studies and thus requires further synthesis into practical design guidelines. To address this need, this paper uses case studies and evidence from the literature to enumerate predictable outcomes and develop visual guidelines related to biophilic design—daylight, views, gardens—with a final focus on materials. The implications of key design parameters are analyzed to their potential impact on patients and medical staff, including recovery rates, hospitalization days, pain medication intake, stress levels, active behavior, and task performance. The provided guidelines include biophilic light design specifications that can reduce hospital stays by 3.67 days and biophilic views that may reduce pain medication intake by up to 61%. Natural materials, including living garden vegetation, were shown to be most impactful on stress and behavioral well-being. An additional focus on natural materials for biophilic design is defined by developing a toolkit for analyzing effective locations for views of materials within a patient's room. The guidelines developed in this further support the transition into simulation and computational analysis tools that assess the health outcomes of various biophilic design strategies from a range of design characteristics and interventions to produce correlations to health and productivity metrics.

Predicted Heart Age and Life's Essential 8 Among U.S. Adults: NHANES 2015–March 2020

IntroductionThis study examined the association between American Heart Association's (AHA) cardiovascular health (CVH) metrics –Life's Essential 8 (LE8)– and predicted heart age among U.S. adults. MethodsThe sample comprised 7,075 participants aged 30-74 years without CVD and/or stroke from the National Health and Nutrition Examination Survey (NHANES) 2015-March 2020. LE8 was measured according to AHA's metrics (overall score ranging from 0 to 100 points), and nonlaboratory-based Framingham Risk Score was used to estimate predicted heart age. Analyses were completed in June 2024. ResultsMedian LE8 scores were 62.8 for men and 66.0 for women. Over 80% of participants had less than optimal CVH scores, affecting 141.5 million people and 1-in-6 participants had a low CVH score, impacting 30.0 million people. Mean predicted heart age and excess heart age (EHA, difference between actual and predicted heart age) were 56.6 (95% CI 56.1-57.1) and 8.6 (8.1-9.1) years for men and 54.0 (53.4-54.7) and 5.9 (5.2-6.5) years for women. Participants in the low CVH group (scores<50), had an EHA that was 20.7 years higher than those in the high CVH group (score 80-100). Compared to the high CVH group, participants in low CVH group had 15 times (for men) and 44 times (for women) higher risk of having EHA ≥10 years. The pattern of differences in predicted heart age, EHA, and prevalence of EHA ≥10 years by LE8 groups remained largely consistent across subpopulations. ConclusionsThese findings highlight the importance of maintaining a healthy lifestyle to improve cardiovascular health and reduce excess heart age.

Influence of virtual reality and task complexity on digital health metrics assessing upper limb function

BackgroundTechnology-based assessments using 2D virtual reality (VR) environments and goal-directed instrumented tasks can deliver digital health metrics describing upper limb sensorimotor function that are expected to provide sensitive endpoints for clinical studies. Open questions remain about the influence of the VR environment and task complexity on such metrics and their clinimetric properties.MethodsWe aim to investigate the influence of VR and task complexity on the clinimetric properties of digital health metrics describing upper limb function. We relied on the Virtual Peg Insertion Test (VPIT), a haptic VR-based assessment with a virtual manipulation task. To evaluate the influence of VR and task complexity, we designed two novel tasks derived from the VPIT, the VPIT-2H (VR environment with reduced task complexity) and the PPIT (physical task with reduced task complexity). These were administered in an observational longitudinal study with 27 able-bodied participants and 31 participants with multiple sclerosis (pwMS, VPIT and PPIT only) and the value of kinematic and kinetic metrics, their clinimetric properties, and the usability of the assessment tasks were compared.ResultsIntra-participant variability strongly increased with increasing task complexity (coefficient of variation + 56%) and was higher in the VR compared to the physical environment (+ 27%). Surprisingly, this did not translate into significant differences in the metrics’ measurement error and test–retest reliability across task conditions (p > 0.05). Responsiveness to longitudinal changes in pwMS was even significantly higher (effect size + 0.35, p < 0.05) for the VR task with high task complexity compared to the physical instrumented task with low task complexity. Increased inter-participant variability might have compensated for the increased intra-participant variability to maintain good clinimetric properties. No significant influence of task condition on concurrent validity was present in pwMS. Lastly, pwMS rated the PPIT with higher usability than the VPIT (System Usability Scale + 7.5, p < 0.05).ConclusionThe metrics of both the VR haptic- and physical task-based instrumented assessments showed adequate clinimetric properties. The VR haptic-based assessment may be superior when longitudinally assessing pwMS due to its increased responsiveness. The physical instrumented task may be advantageous for regular clinical use due to its higher usability. These findings highlight that both assessments should be further validated for their ideal use-cases.

Best practices to evaluate the impact of biomedical research software-metric collection beyond citations.

Software is vital for the advancement of biology and medicine. Impact evaluations of scientific software have primarily emphasized traditional citation metrics of associated papers, despite these metrics inadequately capturing the dynamic picture of impact and despite challenges with improper citation. To understand how software developers evaluate their tools, we conducted a survey of participants in the Informatics Technology for Cancer Research (ITCR) program funded by the National Cancer Institute (NCI). We found that although developers realize the value of more extensive metric collection, they find a lack of funding and time hindering. We also investigated software among this community for how often infrastructure that supports more nontraditional metrics were implemented and how this impacted rates of papers describing usage of the software. We found that infrastructure such as social media presence, more in-depth documentation, the presence of software health metrics, and clear information on how to contact developers seemed to be associated with increased mention rates. Analysing more diverse metrics can enable developers to better understand user engagement, justify continued funding, identify novel use cases, pinpoint improvement areas, and ultimately amplify their software's impact. Challenges are associated, including distorted or misleading metrics, as well as ethical and security concerns. More attention to nuances involved in capturing impact across the spectrum of biomedical software is needed. For funders and developers, we outline guidance based on experience from our community. By considering how we evaluate software, we can empower developers to create tools that more effectively accelerate biological and medical research progress. More information about the analysis, as well as access to data and code is available at https://github.com/fhdsl/ITCR_Metrics_manuscript_website.

The Inter-Phase Gap Offset Effect as a Measure of Neural Health in Cochlear Implant Users With Residual Acoustic Hearing.

The inter-phase gap (IPG) offset effect is defined as the dB offset between the linear parts of electrically evoked compound action potential (ECAP) amplitude growth functions for two stimuli differing only in IPG. The method was recently suggested to represent neural health in cochlear implant (CI) users while being unaffected by CI electrode impedances. Hereby, a larger IPG offset effect should reflect better neural health. The aims of the present study were to (1) examine whether the IPG offset effect negatively correlates with the ECAP threshold and the preoperative pure-tone average (PTA) in CI recipients with residual acoustic hearing and (2) investigate the dependency of the IPG offset effect on hair cell survival and intracochlear electrode impedances. Seventeen adult study participants with residual acoustic hearing at 500 Hz undergoing CI surgery at the University Hospital of Zurich were prospectively enrolled. ECAP thresholds, IPG offset effects, electrocochleography (ECochG) responses to 500 Hz tone bursts, and monopolar electrical impedances were obtained at an apical, middle, and basal electrode set during and between 4 and 12 weeks after CI surgery. Pure-tone audiometry was conducted within 3 weeks before surgery and approximately 6 weeks after surgery. Linear mixed regression analyses and t tests were performed to assess relationships between (changes in) ECAP threshold, IPG offset, impedance, PTA, and ECochG amplitude. The IPG offset effect positively correlated with the ECAP threshold in intraoperative recordings (p < 0.001) and did not significantly correlate with the preoperative PTA (p = 0.999). The IPG offset showed a postoperative decrease for electrode sets that showed an ECochG amplitude drop. This IPG offset decrease was significantly larger than for electrode sets that showed no ECochG amplitude decrease, t(17) = 2.76, p = 0.014. Linear mixed regression analysis showed no systematic effect of electrode impedance changes on the IPG offset effect (p = 0.263) but suggested a participant-dependent effect of electrode impedance on IPG offset. The present study results did not reveal the expected relationships between the IPG offset effect and ECAP threshold values or between the IPG offset effect and preoperative acoustic hearing. Changes in electrode impedance did not exhibit a direct impact on the IPG offset effect, although this impact might be individualized among CI recipients. Overall, our findings suggest that the interpretation and application of the IPG offset effect in clinical settings should be approached with caution considering its complex relationships with other cochlear and neural health metrics.

High-resolution MR vessel wall imaging and cardiovascular health for evaluating the occurrence of ischemic stroke

ObjectivesTo explore the value of high-resolution MR vessel wall imaging (HR-VWI) based plaque characteristics combined with cardiovascular health (CVH) metrics in the risk evaluation of ischemic stroke attributed to middle cerebral artery (MCA) atherosclerotic stenosis. MethodsRetrospective analysis of 209 participants with middle cerebral atherosclerosis, 146 patients with high signal in the MCA area on DWI were included in the symptomatic group, and 63 patients were included in the asymptomatic group. The degree of stenosis, enhancement ratio, plaque burden, remodeling index, and intraplaque hemorrhage were measured and compared between groups. Seven CVH metrics and other clinical data were obtained. The association between these factors and ischemic stroke was investigated by univariate and multivariate analysis. ResultsThe degree of stenosis [OR, 1.036 (95 % CI, 1.014–1.058); P = 0.001], plaque burden [OR, 0.958 (95 % CI, 0.928–0.989); P = 0.009], intraplaque hemorrhage [OR, 3.530 (95 % CI, 1.233–10.110); P = 0.019], physical activity [OR, 4.321 (95 % CI, 1.526–12.231); P = 0.006], and diet [OR, 8.986 (95 % CI, 2.747–29.401); P < 0.001] were the independent characteristics associated with the occurrence of ischemic stroke. ROC curve showed that the combination of plaque characteristics, diet, and physical activity achieved the highest AUC of 0.828 (95 % CI 0.770–0.877; P < 0.001), with sensitivity and specificity being 86.30 % and 66.67 %, respectively. ConclusionPlaque characteristics combined with CVH metrics may identify high-risk populations for ischemic stroke and offer novel insights into risk evaluation and stratification.

Increased winter‐killed cover crop seeding rate may not increase soil health outcomes

AbstractImplementing soil conservation practices can begin to restore degraded soils, improve soil health, and increase overall ecosystem services. Cover cropping is an effective strategy to rebuild soil quality through decreased erosion and increased residue inputs, which can help build soil organic matter. Cover crop seeding rate may have a positive relationship with ecosystem services; however, it is unknown whether this is realized at or below the recommended cover crop seeding rate. The goal of this study was to identify the relationship between cover crop seeding rate and soil health biogeochemical measures across the growing season using five oat (Avena sativa L.)–pea (Pisum sativum L.) cover crop treatments of 0%, 25%, 50%, 75%, and 100% the industry standard seeding rate at the University of Massachusetts Amherst Research Farm. Soils were tested for soil carbon (C), nitrogen (N), and microbial measures at winter kill, spring thaw, post‐planting, and succeeding cash crop harvest. Soil measures did not vary among seeding rates, but total ground cover was consistent among treatments due to weed growth. Soil health measures vary seasonally reflecting soil microbial activity. Our study provides initial evidence that soil biogeochemical responses do not respond to increased seeding rate within one growing season when the resulting groundcover—cover crop biomass plus weeds—is consistent across seeding rates, but sampling date can influence the magnitude of soil biological and chemical soil health metrics.

Interaction Between Physical Performance and Health Metrics in Patients with Obstructive Sleep Apnea Syndrome

Purpose: The study aimed to explore the potential correlation between physical performance and health metrics in patients with obstructive sleep apnea (OSA). Furthermore, it sought to compare the variations in health metrics and physical performance across different severities of OSA. Material and Methods: Eighty-four participants undergoing polysomnography with the suspected presence of OSAS were included. Participants completed the 36-Item Short Form (SF-36), Hospital Anxiety-Depression Scale (HADS), and Epworth Sleepiness Scale (ESS) questionnaires. Physical performance was assessed using the 30-second Sit-To-Stand Test (30CST). Participants were categorized into two groups to compare health metrics based on the severity of OSA. Results: Body mass index, neck circumference, ESS scores, hypoxia levels, emotional well-being, and energy levels of quality of life (QoL), differed statistically according to the severity of OSA. While there was no correlation between 30CST scores and social functioning (r=.125, p=.290), all other QoL subheadings and 30CST were significantly correlated (p

The impact of probiotic supplementation on dental and general health metrics in pediatric populations

Relevance. Acute respiratory infections account for over 90% of infectious diseases in children. These children are classified as frequently ill, representing a significant concern in contemporary pediatrics. The presence of odontogenic infections further depletes their immunity and acts as a persistent source of sensitisation for the child's body.Materials and methods. A clinical-laboratory longitudinal prospective study was conducted on 477 children aged 12 and 15 years. The children were categorised into groups based on their risk of developing caries (minimal, moderate, high). Oral health status was assessed using the DMF index, oral hygiene was evaluated using the OHI-S index, and periodontal tissue condition was assessed using the PMA index. The activity of cariogenic flora aggression enzymes was measured by the level of salivary sialidase. The child's health status was evaluated using the infection index and the recurrence index. The schoolchildren were recommended a course of a preparation consisting of a combination of the probiotic Streptococcus salivarius M18 (at least 5 x 10^8 CFU) and vitamin D3 (320 IU or 8 µg of vitamin D3) at a dosage of one tablet per day, taken sublingually, for two months twice a year.Results. The study identified moderate correlations between salivary sialidase levels and several indicators, including the gingivitis index, the quantity of dental plaque, and the increase in sialidase activity in saliva. The level of salivary sialidase is regarded as a marker for plaque formation and the extent of periodontal tissue inflammation. Comprehensive oral sanitation, coupled with the strategic use of immunoprophylactic agents, resulted in significant improvements in oral health indicators (OHI-S, PMA, caries reduction) and specific child health metrics (infection index, recurrence index). Additionally, there was a notable reduction in salivary sialidase levels. The method demonstrated the highest efficacy in 12-year-old children who were at high risk of developing caries.Conclusion. The obtained data should be considered when planning individual therapeutic and preventive measures for schoolchildren with varying risks of developing caries and differing overall health statuses. Probiotic-based preparations should be incorporated into these measures.

MHQ: constructing an aggregate metric of population mental wellbeing

BackgroundAccording to the World Health Organization (WHO), mental health is ‘a state of wellbeing in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community’. Any population metric of mental health and wellbeing should therefore not only reflect the presence or absence of mental challenges but also a person’s broad mental capacity and functioning across a range of cognitive, social, emotional and physical dimensions. However, while existing metrics of mental health typically emphasize ill health, existing metrics of wellbeing typically focus on happiness or life satisfaction, indirectly infer wellbeing from a selection of social and economic factors, or do not reflect a read out of the full spectrum of mental functioning that impacts people’s everyday life and that spans the continuum from distress and the inability to function, through to the ability to function to one’s full potential.MethodsWe present the Mental Health Quotient, or MHQ, a population metric of mental wellbeing that comprehensively captures mental functioning, and examine how it relates to functional productivity. We describe the 47-item assessment and the life impact rating scale on which the MHQ metric is based, as well as the rationale behind each step of the nonlinear algorithm used to construct the MHQ metric.ResultsWe demonstrate a linear relationship between the MHQ metric and productive life function where movement on the scale from any point or in any direction relates to an equivalent shift in productive ability at the population level, a relationship that is not borne out using simple sum scores. We further show that this relationship is the same across all age groups. Finally, we demonstrate the potential for the types of insights arising from the MHQ metric, offering examples from the Global Mind Project, an initiative that aims to track and understand our evolving mental wellbeing, and since 2020 has collected responses from over 1 million individuals across 140 + countries.ConclusionThe MHQ is a metric of mental wellbeing that aligns with the WHO definition and is amenable to large scale population monitoring.

From Waste to Resource: How Standardized Health Metrics Can Accelerate the Circular Economy in Storage Media

From Waste to Resource: How Standardized Health Metrics Can Accelerate the Circular Economy in Storage Media

Plastic ingestion, accumulated heavy metals, and health metrics of four Larus gull species feeding at a coastal landfill in eastern Canada

The objectives of this research were to assess ingested plastics and accumulated heavy metals in four urban gull species. Additionally, the relationships between ingested plastics and selected demographic and health metrics were assessed. Between 2020–2021 during the non-breeding seasons, 105 gulls (46 American herring gulls (HERG, Larus argentatus smithsonianus), 39 great black-backed gulls (GBBG, Larus marinus), 16 Iceland gulls (Larus glaucoides), 4 glaucous gulls (Larus hyperboreus)) were killed at a landfill in coastal Newfoundland and Labrador, Canada, as part of separate, permitted kill-to-scare operations related to aircraft safety. Birds were necropsied, the upper gastrointestinal tract contents were processed using standard techniques, and livers were analyzed for accumulated As, Cd, Hg, and Pb. The relationships between ingested plastics, demographics, and health metrics were assessed in HERG and GBBG. Across all four species, 85 % of birds had ingested at least one piece of anthropogenic debris, with 79 % ingesting at least one piece of plastic. We detected interspecific differences in plastic ingestion and hepatic trace metals, with increased ingested plastics detected in GBBG compared with HERG. For GBBG, levels of ingested plastic were relatively greater for birds with higher scaled mass index, while HERG with more ingested plastic had higher liver lead concentrations.

Effects of air pollution on global health: evidence from the global burden of disease study in the BRICS countries.

Considering the dynamic influence of environmental, social, economic, and political factors in the emergence and growth of the BRICS countries (Brazil, Russia, India, China, and South Africa) over the years and pre-existing differences, the adverse effects of air pollution on the health and well-being of the people have remained major areas of academic inquiry and policy interventions. The present study examines the global trend of deaths and Disability Adjusted Life Years (DALYs) attributable to air pollution with particular reference to the BRICS countries for the period 1990 to 2019. This study has used the global burden of disease estimates by using different rounds of the Global Burden of Disease (GBD) study report published by the Institute of Health Metrics Evaluation. This study has calculated the cause of death and DALYs due to environmental risk factors (i.e. Air pollution). Data analysis has been done by using the standard formula for the calculation of death (mortality) rate and DALYs rate. Similarly, we calculated the age and gender-wise death and DALYs rate by using the appropriate numerator and denominator. The study discovered a significant shift in disease patterns over this period, as communicable diseases like respiratory infections and tuberculosis were replaced by non-communicable diseases such as ischemic heart disease (17.2 million), chronic obstructive pulmonary disease (14.59 million), and stroke (17.02 million) as the primary causes of air pollution-related deaths in 2019 at the global level. Additionally, the study identified a worrying increase in deaths linked to neonatal disorders and respiratory infections caused by ambient particulate matter pollution in South Africa, India, and Brazil. The impact of air pollution on public health is evident across different age groups and genders, with people aged 50-69 years, those aged 70 and above, and children under 5 years being more vulnerable. Furthermore, the male population is disproportionately affected by communicable and noncommunicable diseases caused by air pollution. The study highlights the need for policymakers to implement evidence-based interventions to tackle this global health problem. The interventions should aim to reduce the emerging crisis of non-communicable diseases related to air pollution, particularly among vulnerable age groups and the male population, ultimately improving public health outcomes.

How feasible or useful are timeliness metrics as a tool to optimise One Health outbreak responses?

IntroductionAs timeliness metrics gain traction to assess and optimise outbreak detection and response performance, implementation and scale-up require insight into the perspectives of stakeholders adopting these tools. This study sought...

Security Risk Assessment of IoT for Remote Patient Monitoring System

Remote Patient Monitoring (RPM), an essential component of telehealth, is among the biggest changes marked in healthcare. It facilitates patients’ treatment, remotely at home or in some distant location, without traditional clinical settings. The RPM plays a key role in data acquisition, data analysis and insights, and improved healthcare management. It collects real-time data using wearable sensors and mobile apps, and furnish crucial health metrics. Advanced algorithms and prognostic modelling than process the data, pattern and likely health risks to predict any disease more precisely and accurately for early action. RPM provides real-time watch and remote consultation that help in improved disease control and better patients’ care. Improved accuracy, reduced cost, real time interaction, and refined patient well-being are the significant healthcare benefits of RPM. Prognosis Health &amp; Management (PHM) system is used for predicting the remaining useful life (RUL) of healthcare assets such as sensors, pacemakers, defibrillators and other medical equipment. The PHM leads to pre-emptive maintenance, lowers downtime, and tracks the life span of such healthcare equipment. The IoT enables PHM to monitor remote assets and gather instant data to foresee the RUL of such equipment. Providing the facilitations, PHM also creates potential vulnerabilities of exposure of device, network and data, and poses data security and privacy challenges. Therefore, strong security controls are required to keep patients’ data confidential and safe from uneven approaches to technology and data breaches. This paper evaluates risk associated with RPM using OCTAVE ALLGERO, a risk assessment framework, to mitigate the data security concerns.

Correlates of Co-Infection with Coccidiosis and Avian Malaria in House Finches (Haemorhous mexicanus).

Pathogens have traditionally been studied in isolation within host systems; yet in natural settings they frequently coexist. This raises questions about the dynamics of co-infections and how host life-history traits might predict co-infection versus single infection. To address these questions, we investigated the presence of two parasites, a gut parasite (Isospora coccidians) and a blood parasite (Plasmodium spp.), in House Finches (Haemorhous mexicanus), a common passerine bird in North America. We then correlated these parasitic infections with various health and condition metrics, including hematological parameters, plasma carotenoids, lipid-soluble vitamins, blood glucose concentration, body condition, and prior disease history. Our study, based on 48 birds captured in Tempe, Arizona, US, in October 2021, revealed that co-infected birds exhibited elevated circulating lutein levels and a higher heterophil:lymphocyte ratio (H/L ratio) compared to those solely infected with coccidia Isospora spp. This suggests that co-infected birds experience heightened stress and may use lutein to bolster immunity against both pathogens, and that there are potentially toxic effects of lutein in co-infected birds compared to those infected solely with coccidia Isospora sp. Our findings underscore the synergistic impact of coparasitism, emphasizing the need for more co-infection studies to enhance our understanding of disease dynamics in nature, as well as its implications for wildlife health and conservation efforts.