International Development Enterprises

Climate change-induced disasters, such as droughts and floods, are increasingly contributing to the vulnerability of rural agricultural communities, especially in sub-Saharan African countries like Ghana. Rural communities characterised by low resilience capacities experience devastating economic, social, and ecological impacts from climate-induced disasters, which are becoming more frequent and intense. Using a case study approach, this paper investigated the effects of droughts and floods on the vulnerability and resilience of four rural agricultural communities in two districts in northern and southern Ghana. A mixed-methods research design approach was employed to collect qualitative and quantitative data from secondary and primary sources on the impacts of climate change on purposively selected communities, as well as to assess their vulnerability and resilience. Purposive and random sampling techniques were used to collect information from relevant stakeholder groups in the four communities, and the data were analysed with the SPSS version 21 package. A key finding of the paper is that the resilience capacity of local communities in the two districts to manage natural disasters and reduce vulnerability effectively is woefully inadequate. The challenges of the vulnerability-resilience dilemma faced by communities are identified, and appropriate solutions are recommended for strengthening their adaptation and coping capacities.

In today's healthcare system, data overload presents challenges and opportunities. This effort uses Blockchain and Machine Learning to recommend new healthcare data management methods. Machine learning rapidly extracts meaningful data from enormous datasets. Blockchain technology also employs consensus mechanisms to protect healthcare data, making data exchange more reliable. Blockchain, deep learning, and IoT improve healthcare. Technology's rapid expansion allows this integration to provide real-time monitoring, secure data management, and accurate disease prediction. IoT-connected medical devices record patient health data for early diagnosis and treatment. However, handling and preserving such large amounts of sensitive medical data remains a challenge. Blockchain technology secures, privates, and interoperates healthcare providers' data by offering a distributed, immutable, and tamper-proof ledger. Time-series health data is evaluated using recurrent neural networks (RNNs), notably LSTM networks, to improve predictive analytics. LSTM can detect long-term dependencies in sequential data, making it good at forecasting diabetic problems. Through these technologies, we can develop a trustworthy, effective, and smart healthcare environment that allows for earlier diagnosis, more targeted treatment regimens, and improved patient outcomes. This platform automates data processing and prediction, relieving clinicians of some of their workload while improving healthcare security and efficiency. These benefits won't guarantee widespread adoption unless computing costs, scalability, and integration with healthcare infrastructures are addressed. Future research should improve these technologies to make healthcare safer, easier, and patient-centered.

PURPOSE:The purpose of this study was to examine the prevalence of urinary (UI), fecal (FI), and dual incontinence (DI) in older adults and their association with urinary tract infections, dermatitis, slips and falls, and behavioral disturbances based on Medicare fee-for-service (FFS) claims data.DESIGN:Retrospective analysis.SUBJECTS AND SETTINGS:Data from administrative claims from the CMS Medicare Limited Data Set (5% sample) for all months in 2018 were reviewed. The analysis was limited to FFS Medicare beneficiaries, with minimum of 3-month enrollment in Parts A and B who were at least 65 years old. This cohort included 1.2 million beneficiaries in the United States.METHODS:We used diagnosis codes to identify members with incontinence and grouped these members into 3 categories (UI only, FI only, and DI). We also divided claims based on 4 sites of care (nursing home, skilled nursing facility, home health, and self- or family care). We then determined the prevalence of (1) urinary tract infections (UTIs), (2) dermatitis, (3) slips and falls, and (4) behavioral disturbances for each type of incontinence.RESULTS:We found that 11.2% of Medicare members had a claims-based diagnosis of incontinence in 2018. On average, those diagnosed with incontinence experienced 5 times more UTIs, 2 times as many dermatitis events, more than twice as many slips and falls, and 2.8 times more behavior disturbances compared to those without an incontinence diagnosis. For those with DI, the prevalence of the 4 outcomes was significantly higher (between 22% and 185%) compared to those with UI only.CONCLUSIONS:Findings show that Medicare beneficiaries diagnosed as incontinent experience a much higher prevalence of UTIs, dermatitis, slips and falls, and behavioral disturbances compared to those without a diagnosis of incontinence. Our results suggest that incontinence may be an important indicator diagnosis for multiple other conditions and, if not well-managed, may challenge the desire for those who are incontinent to age at home.

Abstract Access to safe sanitation is a basic requirement for human well-being and is critical for protecting public health and preventing environmental contamination at the community level. The increasing global risk of climate-related disasters exacerbates the likelihood of traditional sanitation solutions failing and exposing communities to harmful pathogens. This risk is ubiquitous in Cambodia's flood-prone Tonle Sap Lake region, which has some of the lowest rates of sanitation coverage in the country. This study sought to design and test a targeted mechanism in the region to deliver sanitation subsidies to households in a vulnerable position due to climate and socioeconomic characteristics. Subsidy eligibility was evaluated using the poverty probability index for Cambodia, with thresholds set according to households' individual and community-level climate vulnerability. In a randomized controlled trial, offering subsidies increased the likelihood of successful sales conversions for climate-resilient latrine products among targeted households by 32 percentage points, indicating effectiveness for increasing market-based sanitation uptake. The research did not find evidence of widespread or sustained market distortion due to the subsidy program.

Abstract available with the full text.

Objectives To assess the diagnostic utility of metagenomic sequencing in pediatric aerodigestive clinic patients being evaluated for chronic aspiration. Clinical metagenomics allows for evaluation of both the respiratory microbiota and the transcriptome of the host immune response. Study Design and Methods Twenty-four children referred to an aerodigestive clinic were enrolled in a prospective, single-site, cross-sectional cohort study. At the time of clinical evaluation under anesthesia, two additional samples were obtained: an upper airway sample and a sample from bronchoalveolar lavage (BAL). Samples were sent for routine culture and analyzed using Explify® Respiratory, a CLIA Laboratory Developed Test (LDT) which identifies respiratory commensals and pathogens through RNA and DNA sequencing. Incidentally obtained host transcriptomics were analyzed to evaluate the host immune response. The results of these studies were correlated with the clinical presentation of the research subjects. Results In ten patients, organisms primarily associated with oral flora were identified in the BAL. Standard culture was negative in three patients where clinical metagenomics led to a result with potential clinical significance. Transcriptomic data correlated with the presence or absence of dysphagia as identified on prior videofluoroscopic evaluation of swallowing. Differentially expressed genes included upregulation of genes involved in the immune response, such as CXCL8 (interleukin 8) and ITGB2 (CD18). Conclusions Clinical metagenomics allows for simultaneous analysis of the microbiota and the host immune response from BAL samples. As the technologies in this field continue to advance, such testing may improve the diagnostic evaluation of patients with suspected chronic aspiration.

Strickland Produce Inc., Nashville, TN, packages fresh cut salads in bags for the ready-to-eat market. Produce is sorted, cut, washed, packed in plastic bags and distributed under refrigeration. Flume water washes and transports products through the plant, and is recycled in a closed loop. Ozone was installed full-scale in 2000 for flume water treatment (200 gpm) and has provided significant improvement in plant product qualities plus savings in water, labor, and plant effluent costs for the past six years. With chlorine treatment alone, the flume water quickly became discolored, laden with organic residues, and needed to be replaced every 2–3 hours. With the ozone treatment, flume water is replaced once daily, allowing for at least a 60% flume water savings. Of even more significance are the labor savings resulting from less frequent changing of spent flume water. Costs for ozonation equipment were recovered in less than two years.