Primate focused conservation education in Paraguay: Doing something Para La Tierra.

Over 91% of the Paraguayan Upper Paraná Atlantic Forest has been cleared and the Gran Chaco is the fastest disappearing habitat on the continent. One of the compounding issues for conservation in Paraguay is the lack of knowledge of the importance of nature amongst the population. Fundación Para La Tierra (PLT) began the country's first Eco-Club program, "Voces de la Naturaleza" (Voices of Nature), in 2016. Three of the curriculums participatory lessons focus on primate conservation. These lessons formed the basis of PLT's Atlantic Forest education programme in 2018 when the team began visiting 22 schools around San Rafael (Tekoha Guasu). To date 26 schools (1,500+ children) across two political departments and four districts have participated in this programme which is now entering its 6th year. The biggest challenges have included the COVID-19 pandemic and the logistics and costs involved in reaching rural and remote schools. Though it is too soon to record observable behavioural change ongoing monitoring over the six year period indicates that children remember the information gained through the participatory methods for several years. We believe that the main reasons for the success of this programme are the collaborations that we have built with the teachers of the schools based on open communication and mutual respect. Though costs can be an issue when beginning, or running, a long-term project we recommend that potential educators not be put off trying and that a lot of good can be achieved with a small amount of funding.

A weather-driven mathematical model of Culex population abundance and the impact of vector control interventions.

Even as the incidence of mosquito-borne diseases like West Nile Virus (WNV) in North America has risen over the past decade, effectively modelling mosquito population density or, the abundance has proven to be a persistent challenge. It is critical to capture the fluctuations in mosquito abundance across seasons in order to forecast the varying risk of disease transmission from one year to the next. We develop a process-based mechanistic weather-driven Ordinary Differential Equation (ODE) model to study the population biology of both aqueous and terrestrial stages of mosquito population. The progression of mosquito lifecycle through these stages is influenced by different factors, including temperature, daylight hours, intra-species competition and the availability of aquatic habitats. Weather-driven parameters are utilised in our work, are a combination of laboratory research and literature data. In our model, we include precipitation data as a substitute for evaluating additional mortality in the mosquito population. We compute the Basic offspring number of the associated model and perform sensitivity analysis. Finally, we employ our model to assess the effectiveness of various adulticides strategies to predict the reduction in mosquito population. This enhancement in modelling of mosquito abundance can be instrumental in guiding interventions aimed at reducing mosquito populations and mitigating mosquito-borne diseases such as the WNV.

Emergency Department Management of Maxillofacial Trauma.

Patients with maxillofacial trauma require careful evaluation due to the anatomical proximity of the maxillofacial region to the head and neck. Facial trauma can lead to life-threatening airway compromise or hemorrhage, or permanent facial deformity. Although the Advanced Trauma Life Support guidelines provide a framework for the management of trauma patients, they do not provide a detailed reference for many subtle or complex facial injuries. In addition to an overview of maxillofacial trauma pathophysiology, associated injuries, and physical examination, this review will also discuss relevant imaging, treatment, and disposition plans.

Travel burden and bypassing closest site for surgical cancer treatment for urban and rural oncology patients.

PURPOSE: We examined the relationship between travel burden for surgical cancer care and rurality, geographic bypass of the nearest surgical facility, cancer type, and mortality outcomes. METHODS: Using Medicare claims and enrollment data (2016-2018) from beneficiaries with cancer of the colon, rectum, lung, or pancreas, we measured travel times to: the nearest surgical facility and facility used. For those who bypassed the nearest, we examined travel time and rurality in relation to surgical rates. Using multivariable regression modeling, we estimated associations of bypass with 90-day postoperative- and one-year mortality; rurality was examined as an effect modifier. FINDINGS: Among 211,025 beneficiaries with cancer, 25.5% resided in non-metropolitan areas. About 66% of metropolitan/micropolitan, and 78% of small town/rural patients bypassed their closest facility. Increasing rurality was significantly associated with increased likelihood of bypass (Referent = metropolitan, OR; 95%CI: micropolitan 1.10; 1.04-1.16, small town/rural 2.08; 1.96-2.20. Bypassing the nearest facility was associated with decreased likelihood of both 90-day postoperative mortality (OR = 0.79; 95%CI 0.74-0.85) and 1-year mortality (OR = 0.81; 95%CI 0.77-0.86). The greatest decrement in 1-year mortality was for pancreatic cancer across all rural-urban categories (OR; 95%CI: metropolitan 0.63; 0.53-0.76; micropolitan 0.53; 0.29-0.97); small town/rural 0.46; 0.25-0.86). CONCLUSIONS: Most Medicare beneficiaries with lung, colon, rectal, or pancreatic cancer bypassed the closest facility providing surgical cancer care, especially rural patients. Bypassing was associated with a lower likelihood of 90-day postoperative, and 1-year mortality. Understanding determinants of bypassing, particularly among rural patients, may reveal potential mechanisms to improve cancer outcomes and reduce rural cancer disparities.

Inclusive Soundscapes: How Race, Socioeconomic Status and Maternal Age Influence the Pediatric Cochlear Implant Journey.

OBJECTIVE: This study aimed to assess how race, social vulnerability, and maternal age influence pediatric cochlear implant access and usage. STUDY DESIGN: Retrospective cohort. SETTING: Tertiary Pediatric University Hospital. METHODS: This study included individuals aged 0 to 18 who received a cochlear implant at our center between the years 2000 and 2022. Social vulnerability data from 2020 was obtained from the Centers for Disease Control and Prevention. RESULTS: Of the 302 patients included in our study, 43% were black and 50% were white. Patients from the highest to lowest social vulnerability quintiles comprised 31%, 25%, 18%, 10%, and 14% of our sample, respectively. Race was associated with social vulnerability index (SVI) (P < .001), with a mean score of 0.70 (±0.26) and 0.49 (±0.27) for black and white patients, respectively. Later age at hearing loss (HL) diagnosis and cochlear implantation (CI) were associated with more and most vulnerable SVI (P < .05). Delayed diagnosis was also associated with black and other racial groups (P = .041), and adolescent maternal age (P = .03). Greater SVI was associated with less daily cochlear implant usage (P = .004). The most vulnerable patients were more likely to be lost to follow-up (P = .03) despite no difference based on maternal age (P = .59) and insurance status (P = .47). CONCLUSION: This study underscores the significance of mitigating disparities in timely diagnosis of HL, consistent CI usage, and appropriate follow-up care. This is a first step toward the formulation of novel strategies aimed at overcoming barriers and developing appropriate intervention programs.

Patient Perceptions on the Follow-Up of Abnormal Cancer Screening Test Results.

BACKGROUND: Timely follow-up after an abnormal cancer screening test result is needed to maximize the benefits of screening, but is frequently not achieved. Little is known about patient experiences with the process of following up abnormal screening results. OBJECTIVE: Assess patient experiences and perceptions regarding the process of a diagnostic workup following abnormal breast, cervical, or colorectal cancer screening results. DESIGN: Survey of participating patients between April 2021 and June 2022 after reaching the primary outcome time point in a randomized controlled trial to improve follow-up of overdue abnormal screening results. PARTICIPANTS: Patients from 44 participating practices in three primary care practice networks. MAIN MEASURES: Self-reported ease of scheduling follow-up, perceived barriers or concerns, provider trust, and satisfaction with communication and care received for the follow-up of abnormal screening results. RESULTS: Overall, 241 (25.0%) patients completed the survey including 66 (32.8%) with breast, 79 (25.3%) with cervical, and 96 (21.3%) with colorectal screening test; median age 55 years, 79.7% women, 80.5% non-Hispanic white, and 51.0% did not complete recommended follow-up. Most patients were worried that the test would find cancer (63.1%), but fewer worried about discomfort or side effects (34.4%), and neither were associated with completing follow-up. However, 17% of patients did not think they needed follow-up tests or appointments and were less likely to complete follow-up (10.5% vs. 24.0%, respectively, p-value 0.009). Most patients were very satisfied with their overall care (71.0%), but only 50.2% strongly agreed that they trusted their provider to put their medical needs above all else when making recommendations. CONCLUSIONS: Patients with overdue abnormal breast, cervical, and colorectal cancer screening test results reported important deficiencies in the management of recommended follow-up. Addressing patient concerns about fear of cancer and effectively communicating the need for follow-up procedures may improve timely follow-up after an abnormal cancer screening result. TRIAL REGISTRATION: ClinicalTrials.gov NCT03979495.

Closing Gaps or Holding Steady? The Affordable Care Act, Medicaid Expansion, & Racial Disparities in Coverage, 2010-2021.

CONTEXT: The Affordable Care Act's (ACA) Medicaid expansion produced major gains in coverage. However, findings on racial and ethnic disparities are mixed and may depend on how disparities are measured. This study examines both absolute and relative changes in uninsurance from 2010-2021 by race and ethnicity, stratified by Medicaid expansion status. METHODS: The sample contained all respondents under age 65 (N = 30,339,104) from the American Community Survey, 2010-2021. Absolute and relative differences in uninsurance, compared to White Non-Hispanic individuals, were calculated for Hispanic; Black; Asian-American, Pacific Islander and Native Hawaiian (AANHPI); American Indian and Alaska Native (AIAN); and multiracial individuals. States were stratified into ever-expanded vs. non-expansion status. FINDINGS: After the ACA, three patterns of coverage disparities emerge. For Hispanic and Black individuals, relative to White individuals, absolute disparities in uninsurance declined but relative disparities were largely unchanged, in both expansion and non-expansion states. For AANHPI individuals, disparities were eliminated entirely in both expansion and non-expansion states. For AIAN individuals, disparities declined in absolute terms but grew in relative terms, particularly in expansion states. CONCLUSIONS: All groups experienced coverage gains post-ACA, but with heterogeneity in changes in disparities. Focused interventions are needed to improve coverage rates for Black, Hispanic, and AIAN individuals.

Experiences with home monitoring technology in older adults with traumatic brain injury: a qualitative study.

BACKGROUND: Home monitoring systems utilising artificial intelligence hold promise for digitally enhanced healthcare in older adults. Their real-world use will depend on acceptability to the end user i.e. older adults and caregivers. We explored the experiences of adults over the age of 60 and their social and care networks with a home monitoring system installed on hospital discharge after sustaining a moderate/severe Traumatic Brain Injury (TBI), a growing public health concern. METHODS: A qualitative descriptive approach was taken to explore experiential data from older adults and their caregivers as part of a feasibility study. Semi-structured interviews were conducted with 6 patients and 6 caregivers (N = 12) at 6-month study exit. Data were analysed using Framework analysis. Potential factors affecting acceptability and barriers and facilitators to the use of home monitoring in clinical care and research were examined. RESULTS: Home monitoring was acceptable to older adults with TBI and their caregivers. Facilitators to the use of home monitoring were perceived need for greater support after hospital discharge, the absence of sound and video recording, and the peace of mind provided to care providers. Potential barriers to adoption were reliability, lack of confidence in technology and uncertainty at how data would be acted upon to improve safety at home. CONCLUSIONS: Remote monitoring approaches are likely to be acceptable, especially if patients and caregivers see direct benefit to their care. We identified key barriers and facilitators to the use of home monitoring in older adults who had sustained TBI, which can inform the development of home monitoring for research and clinical use. For sustained use in this demographic the technology should be developed in conjunction with older adults and their social and care networks.

Association between dizziness and future falls and fall-related injuries in older adults: a systematic review and meta-analysis.

BACKGROUND: Dizziness is common in older adults, especially in those attending falls services. Yet, the extent to which dizziness is associated with future falls has not been reviewed. This systematic review and meta-analysis assessed the association between dizziness and future falls and related injuries in older adults. METHODS: EMBASE, CINAHL Plus, SCOPUS and PsycINFO databases were searched from inception to 5 February 2024. The review was registered on PROSPERO (registration ID: CRD42022371839). Meta-analyses were conducted for the associations of dizziness with future falls (including recurrent and injurious falls). Three meta-analyses were performed on different outcomes: any-type falls (≥1 falls), recurrent falls (≥2 falls) and injurious falls. RESULTS: Twenty-nine articles were included in the systematic review (N = 103 306 participants). In a meta-analysis of 14 articles (N = 46 795 participants), dizziness was associated with significantly higher odds of any-type future falls (OR = 1.63, 95% CI = 1.44-1.84). In another meta-analysis involving seven articles (N = 5630 participants), individuals with dizziness also had significantly higher odds of future recurrent falls (OR = 1.98, 95% CI = 1.62-2.42). For both meta-analyses, significant overall associations were observed even when adjusted for important confounding variables. In contrast, a meta-analysis (three articles, N = 46 631 participants) revealed a lack of significant association between dizziness and future injurious falls (OR = 1.12, 95% CI = 0.87-1.45). CONCLUSIONS: Dizziness is an independent predictor of future falls in older adults. These findings emphasise the importance of recognising dizziness as a risk factor for falls and implementing appropriate interventions.

Impact of COVID-19 on recorded blood pressure screening and hypertension management in England: an analysis of monthly changes in the quality and outcomes framework indicators in OpenSAFELY.

BACKGROUND: The COVID-19 pandemic disrupted cardiovascular disease management in primary care in England. OBJECTIVE: To describe the impact of the pandemic on blood pressure screening and hypertension management based on a national quality of care scheme (Quality and Outcomes Framework, QOF) across key demographic, regional and clinical subgroups. METHODS: With NHS England approval, a population-based cohort study was conducted using OpenSAFELY-TPP on 25.2 million NHS patients registered at general practices (March 2019 to March 2023). We examined monthly changes in recorded blood pressure screening in the preceding 5 years in patients aged ≥45 years and recorded the hypertension prevalence and the percentage of patients treated to target (≤140/90 mmHg for patients aged ≤79 years and ≤150/90 mmHg for patients aged ≥80 years) in the preceding 12 months. RESULTS: The percentage of patients aged ≥45 years who had blood pressure screening recorded in the preceding 5 years decreased from 90% (March 2019) to 85% (March 2023). Recorded hypertension prevalence was relatively stable at 15% throughout the study period. The percentage of patients with a record of hypertension treated to target in the preceding 12 months reduced from a maximum of 71% (March 2020) to a minimum of 47% (February 2021) in patients aged ≤79 years and from 85% (March 2020) to a minimum of 58% (February 2021) in patients aged ≥80 years before recovery. Blood pressure screening rates in the preceding 5 years remained stable in older people, patients with recorded learning disability or care home status. CONCLUSIONS: The pandemic substantially disrupted hypertension management QOF indicators, which is likely attributable to general reductions of blood pressure measurement including screening. OpenSAFELY can be used to continuously monitor changes in national quality-of-care schemes to identify changes in key clinical subgroups early and support prioritisation of recovery from care disrupted by COVID-19.

Host-feeding preferences and temperature shape the dynamics of West Nile virus: A mathematical model to predict the impacts of vector-host interactions and vector management on R0.

West Nile virus (WNV) is prevalent across the United States, but its transmission patterns and spatio-temporal intensity vary significantly, particularly in the Eastern United States. For instance, Chicago has long been a hotspot for WNV cases due to its high cumulative incidence of infection, with the number of cases varying considerably from year to year. The abilities of host species to maintain and disseminate WNV, along with eco-epidemiological factors that influence vector-host contact rates underlie WNV transmission potential. There is growing evidence that several vectors exhibit strong feeding preferences towards different host communities. In our research study, we construct a process based weather driven ordinary differential equation (ODE) model to understand the impact of one vector species (Culex pipiens), its preferred avian and non-preferred human hosts on the basic reproduction number (R0). In developing this WNV transmission model, we account for the feeding index, which is defined as the relative preference of the vectors for taking blood meals from a competent avian host versus a non-competent mammalian host. We also include continuous introduction of infected agents into the model during the simulations as the introduction of WNV is not a single event phenomenon. We derive an analytic form of R0 to predict the conditions under which there will be an outbreak of WNV and the relationship between the feeding index and the efficacy of adulticide is highly nonlinear. In our mechanistic model, we also demonstrate that adulticide treatments produced significant reductions in the Culex pipiens population. Sensitivity analysis demonstrates that feeding index and rate of introduction of infected agents are two important factors beside the efficacy of adulticide. We validate our model by comparing simulations to surveillance data collected for the Culex pipiens complex in Cook County, Illinois, USA. Our results reveal that the interaction between the feeding index and mosquito abatement strategy is intricate, especially considering the fluctuating temperature conditions. This induces heterogeneous transmission patterns that need to be incorporated when modelling multi-host, multi-vector transmission models.

Do Publicly Funded Neighborhood Investments Impact Individual-Level Health-Related Outcomes? A Longitudinal Study of Two Neighborhoods in Pittsburgh, PA from 2011 to 2018.

Research examining the relationship between a neighborhood's built-environment and resident health or health-related outcomes has largely either focused on static characteristics using a cross-sectional research design or focuses on the neighborhood in its entirety. Such an approach makes it difficult to understand how specific dynamic neighborhood characteristics are associated with individual well-being. In this analysis, we use longitudinal data from the Pittsburgh Research on Neighborhood Change and Health (PHRESH) studies to assess the relationship between publicly funded neighborhood investments occurring across seven years (2011-2018) on five health-related outcomes: food insecurity, stress, perceived neighborhood safety, neighborhood satisfaction, and dietary quality. We additionally utilize this dataset to determine whether the distance between an individual's place of residence and the investment, as measured at the neighborhood, 1 mile, and ½ mile level, effects the magnitude of associations. Using individual and year fixed effects models, we find that when measured at the neighborhood level, a one standard deviation increase in investments (about $130 million dollars) is associated with decreased food insecurity (-0.294 sd), increased safety (0.231 sd), and increased neighborhood satisfaction (0.201 sd) among adults who remain in the study for at least two waves of data collection. We also analyze specific investment types and find that commercial investments are largely driving the changes in food insecurity, safety, and neighborhood satisfaction, while business investments are correlated with the decrease in stress. We find no relationship between investments and dietary quality.

Geographical epidemiology of Hyalomma anatolicum and Rhipicephalus microplus in Pakistan: A systematic review.

The livestock sector contributes almost 11% of Pakistan's GDP and is crucial to 35 million people's livelihoods. Ticks are a major economic threat, as over 80% of livestock, such as bovines, are tick-infested with Hyalomma and Rhipicephalus tick species. Hyalomma anatolicum and Rhipicephalus microplus are the most common tick species collected from livestock, transmitting primarily anaplasmosis, babesiosis, and theileriosis. We aimed to identify the geographical distribution of these two tick species and hot spot areas where the risk of these diseases being transmitted by these ticks is high. Following the PRISMA guideline, two authors conducted an independent review of literature sourced from various databases. We screened 326 research articles published between January 1, 1990, and December 31, 2023, focused on identifying the tick species at the district level. Thirty studies from 75 districts, representing 49.3% of the country's total area, detected at least one tick species through collection from animals. R. microplus was present in 81% (n = 61) and H. anatolicum in 82% (n = 62) of these sampled districts. We employed spatial and conventional statistical methods with Geographic Information Systems (GIS) after mapping the weighted distribution of both ticks (the number of ticks per standard unit of sampling effort). We identified northwestern and northcentral regions of the country as hotspots with the highest tick distribution, which aligned with the documented high prevalence of anaplasmosis, babesiosis, Crimean-Congo hemorrhagic fever (CCHF), and theileriosis in these regions. This underscores the urgent need for robust tick control measures in these districts to safeguard animal health and boost the livestock economy.

An Experiential Approach to Training Medical Faculty to Coach: "The Total Experience was Much More Than the Sum of Its Parts".

Coaching in academic medicine may be used for performance improvement as well as personal and professional growth and development. Medical faculty used to advising and mentoring learners may find it challenging to transition to coaching. Limited information is available about educating physicians to take on the role of coaching. We investigated a faculty coach training program at an academic medical center, using qualitative methods to explore how participants' perceptions of the training aligned with the elements of Self-Determination Theory (SDT) and Intentional Change Theory (ICT) that were taught using the principles of Experiential Learning Theory (ELT). Based on findings that illuminated understanding and practice of coaching, it may be summarized that the application of experiential learning may be an effective approach in helping faculty embrace the principles of SDT and ICT and make the shift to transformational coaching.

Blood-based multivariate methylation risk score for cognitive impairment and dementia.

INTRODUCTION: The established link between DNA methylation and pathophysiology of dementia, along with its potential role as a molecular mediator of lifestyle and environmental influences, positions blood-derived DNA methylation as a promising tool for early dementia risk detection. METHODS: In conjunction with an extensive array of machine learning techniques, we employed whole blood genome-wide DNA methylation data as a surrogate for 14 modifiable and non-modifiable factors in the assessment of dementia risk in independent dementia cohorts. RESULTS: We established a multivariate methylation risk score (MMRS) for identifying mild cognitive impairment cross-sectionally, independent of age and sex (P = 2.0 × 10-3). This score significantly predicted the prospective development of cognitive impairments in independent studies of Alzheimer's disease (hazard ratio for Rey's Auditory Verbal Learning Test (RAVLT)-Learning = 2.47) and Parkinson's disease (hazard ratio for MCI/dementia = 2.59). DISCUSSION: Our work shows the potential of employing blood-derived DNA methylation data in the assessment of dementia risk. HIGHLIGHTS: We used whole blood DNA methylation as a surrogate for 14 dementia risk factors. Created a multivariate methylation risk score for predicting cognitive impairment. Emphasized the role of machine learning and omics data in predicting dementia. The score predicts cognitive impairment development at the population level.

Blood DNA methylomic signatures associated with CSF biomarkers of Alzheimer's disease in the EMIF-AD study.

INTRODUCTION: We investigated blood DNA methylation patterns associated with 15 well-established cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) pathophysiology, neuroinflammation, and neurodegeneration. METHODS: We assessed DNA methylation in 885 blood samples from the European Medical Information Framework for Alzheimer's Disease (EMIF-AD) study using the EPIC array. RESULTS: We identified Bonferroni-significant differential methylation associated with CSF YKL-40 (five loci) and neurofilament light chain (NfL; seven loci) levels, with two of the loci associated with CSF YKL-40 levels correlating with plasma YKL-40 levels. A co-localization analysis showed shared genetic variants underlying YKL-40 DNA methylation and CSF protein levels, with evidence that DNA methylation mediates the association between genotype and protein levels. Weighted gene correlation network analysis identified two modules of co-methylated loci correlated with several amyloid measures and enriched in pathways associated with lipoproteins and development. DISCUSSION: We conducted the most comprehensive epigenome-wide association study (EWAS) of AD-relevant CSF biomarkers to date. Future work should explore the relationship between YKL-40 genotype, DNA methylation, and protein levels in the brain. HIGHLIGHTS: Blood DNA methylation was assessed in the EMIF-AD MBD study. Epigenome-wide association studies (EWASs) were performed for 15 Alzheimer's disease (AD)-relevant cerebrospinal fluid (CSF) biomarker measures. Five Bonferroni-significant loci were associated with YKL-40 levels and seven with neurofilament light chain (NfL). DNA methylation in YKL-40 co-localized with previously reported genetic variation. DNA methylation potentially mediates the effect of single-nucleotide polymorphisms (SNPs) in YKL-40 on CSF protein levels.

Forecasting West Nile Virus With Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data.

Machine learning methods have seen increased application to geospatial environmental problems, such as precipitation nowcasting, haze forecasting, and crop yield prediction. However, many of the machine learning methods applied to mosquito population and disease forecasting do not inherently take into account the underlying spatial structure of the given data. In our work, we apply a spatially aware graph neural network model consisting of GraphSAGE layers to forecast the presence of West Nile virus in Illinois, to aid mosquito surveillance and abatement efforts within the state. More generally, we show that graph neural networks applied to irregularly sampled geospatial data can exceed the performance of a range of baseline methods including logistic regression, XGBoost, and fully-connected neural networks.