We aim to develop, field-test, and promote improved ways to measure and assess the public health hazards associated with sanitation systems and practices in sub-Saharan Africa, with the overall goal of informing sanitation planning and implementation at community levels. This will involve learning more about the range and distribution of sanitation technologies encountered in two cities of Africa (i.e., Kampala and Lusaka). Learning more about the levels of microbiological hazard in onsite sanitation systems especially septic tanks and other technology-specific lessons can be usefully incorporated in citywide sanitation improvement tools.

The purpose of this research study is to follow new parents with cystic fibrosis for 5 years to learn more about how their health changes when they become parents. The information we gather in this study will be used to inform future interventions to help people with CF successfully prepare for and transition into parenthood

This is a multicenter, open-label study to study the safety and characteristics of DNL310, an investigational drug designed to treat both the body and brain manifestations of Mucopolysaccharidosis type II (MPS II; Hunter syndrome). The plan is for each participant to start at a low dose and increase over time until a final dose is achieved. Blood, urine and CSF samples will be taken, and tests and assessments will be done to see how your child is doing in the study.

To develop an artificial intelligence (AI) and machine learning (ML) process focused on physicians' variability during the pre-treatment peer review processes and assess the impact of the process in the RT work system on patient safety.

Predictive modeling has recently attracted a lot of attention from organizations trying to leverage AI and big data to improve their work processes such as decision-making. However, real-world problems are rarely well-formulated machine learning problems. Practitioners have to supply a well-defined predictive target to operationalize a predictive model. In such cases, they often resort to using observed variables to approximate the actual construct of interest. For example, people have used high sales numbers as a proxy for a good employee. Proxy label selection is a recurring challenge when predictive ML is applied to real-world problems. The purpose of this interview study is to understand how ML practitioners select proxy labels, evaluate proxy labels, and iterate through the different tasks involved.

To assess three different metrics of healthcare access as surrogate measures of immunization coverage.

The purpose of this study is to create a registry that will collect clinical data from participants attending UNC Hospitals who may present with metastatic cancer and are evaluated to receive radiation therapy. We hope to create a registry that future studies can pull from to study the impacts of radiation therapy on patient cancer outcomes.

To assess how the Medical Staff of UNC view interventions to prevent COVID acquisition

The purpose of the study is to investigate nurses' perceptions of pain management and opioid use in patients who have received nerve blocks. This research aims to explore various aspects related to the utilization of nerve blocks in pain management protocols and the potential implications for opioid prescribing practices. Specifically, the study seeks to: Assess the adequacy of pain management in patients who receive nerve blocks, as perceived by frontline healthcare providers. Evaluate nurses' perceptions of the effectiveness of nerve blocks in providing targeted pain relief compared to traditional opioid-based analgesia. Investigate nurses' attitudes towards opioid sparing strategies and whether they believe patients who have received nerve blocks require fewer opioids for pain management. Examine nurses' experiences with and attitudes towards training in pain management, particularly in the context of nerve blocks, to identify potential areas for improvement in professional development. Explore the integration of evidence-based practices into clinical care and the extent to which nerve

We are surveying engineering doctoral students in the US to learn more about what factors lead them to continue or leave their training. We are especially interested in their perceptions of the climate of their programs.