A5085284996- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Bayesian Methods and Mixture Models
- Statistical Methods and Inference
- Adolescent Sexual and Reproductive Health
- Optimal Experimental Design Methods
- HIV, Drug Use, Sexual Risk
- COVID-19 epidemiological studies
- HIV/AIDS Research and Interventions
- Census and Population Estimation
- Mosquito-borne diseases and control
- Health disparities and outcomes
- Advanced Causal Inference Techniques
- Sepsis Diagnosis and Treatment
- Viral Infections and Vectors
- Health Systems, Economic Evaluations, Quality of Life
- Suicide and Self-Harm Studies
- Sports Analytics and Performance
- Neuroendocrine regulation and behavior
- Ferroptosis and cancer prognosis
- Urban, Neighborhood, and Segregation Studies
- School Health and Nursing Education
- Health, psychology, and well-being
- Autoimmune Bullous Skin Diseases
- Mental Health Treatment and Access
San Diego State University
2013-2024
University of Connecticut
2022-2023
University of California, Davis
2013
Fogarty International Center
2013
Office of Disease Prevention
2013
National Institutes of Health
2013
Using a novel analytical approach, weather dynamics and seasonal dengue virus transmission cycles were profiled for each Thailand province, 1983–2001, using monthly assessments of cases, temperature, humidity, rainfall. We observed systematic differences in the structure different magnitude, role regulating cycles, necessary versus optimal “weather-space,” basis large epidemics, predictive indicators that estimate risk. Larger epidemics begin earlier, develop faster, are predicted at Onset...
Background Dengue is one of the most aggressively expanding mosquito-transmitted viruses. The human burden approaches 400 million infections annually. Complex transmission dynamics pose challenges for predicting location, timing, and magnitude risk; thus, models are needed to guide prevention strategies policy development locally globally. Weather regulates transmission-potential via its effects on vector dynamics. An important gap in understanding risk roadblock model an empirical...
To determine if the selective vasopressin type 1a receptor agonist selepressin (FE 202158) is as effective mixed receptor/vasopressin V2 vasopressor hormone arginine when used a titrated first-line therapy in an ovine model of Pseudomonas aeruginosa pneumonia-induced severe sepsis.Prospective, randomized, controlled laboratory experiment.University animal research facility.Forty-five chronically instrumented sheep.Sheep were anesthetized, insufflated with cooled cotton smoke via...
Objective: To describe the perceptions of training and deployment preparation combat experiences exposures U.S. Army medics. Methods: Data were from first year a 3-year longitudinal study designed to assess impact on behavioral health resilience 347 medics surveyed 3 6 months after returning 12-month Operation Enduring Freedom/Operation Iraqi Freedom theatre assigned brigade teams. Results: Analyses indicated that may benefit better in types shifts required during deployment, type intensity...
This study explored the interplay between quality facilities and school climate, charting effects of facility conditions on student teacher attitudes, behaviors, performance within schools slated for renovations in a large metropolitan district. The research applied leadership–building design model to explore how six characteristics quality—movement, aesthetics, play light, flexible responsive classrooms, elbow room, security—interact with four aspects climate: academic press, community...
The COVID-19 pandemic is not only a medical disease outbreak but also social inequality and health disparity problem. This study analyzed dynamic temporal spatial associations between confirmed cases socioeconomic status (SES) variables at the neighborhood level with three case studies to (1) analyze five stages in County of San Diego, California; (2) compare six U.S. metropolitan areas; (3) SES across two scales (counties zip code units). We identified eleven as potential contributors...
Background: Factors associated with initial methicillin-resistant Staphylococcus aureus (MRSA) skin and soft-tissue infections (SSTIs) their recurrence have not been fully elucidated among HIV-infected persons. Methods: We retrospectively evaluated a large cohort of patients from 1993 to 2010 for culture-proven MRSA SSTIs. Separate logistic regression models factors recurrent infections. Results: Of the 794 patients, 63 (8%) developed an infection (19.8 infections/1000 person years [PY]);...
Though home-based human immunodeficiency virus (HIV) counseling and testing (HBHCT) is implemented in many sub-Saharan African countries as part of their HIV programs, linkage to care remains a challenge. The purpose this study test an intervention enhance improve viral suppression among individuals positive during HBHCT rural Uganda.The PATH (Providing Access To Care)/Ekkubo Study cluster-randomized controlled trial which compares the efficacy enhanced vs. standard-of-care (paper-based...
Abstract It is well known that Cornfield 's confidence interval of the odds ratio with continuity correction can mimic performance exact method. Furthermore, because calculation procedure using former much simpler than latter, highly recommended by many publications. However, all these papers draw this conclusion are on basis examining coverage probability exclusively. The efficiency resulting intervals completely ignored. This paper calculates and compares average length for Woolf s logit...
Objectives The present study aimed to identify the prevalence and correlates of depressive symptoms potential intervention points among women men from a population-based sample in rural central Uganda. Design A cross-sectional study. Setting Four districts Participants Women aged 15–59 residing four Uganda accepting home-based HIV testing who completed baseline survey at time testing. Primary outcome measures Depressive measured by 10-item Center for Epidemiological Studies Depression Scale...
OBJECTIVES Equitable access to coronavirus 2019 (COVID-19) screening is important reduce transmission and maintain in-person learning for middle school communities, particularly in disadvantaged schools. Rapid antigen testing, at-home testing particular, could offer substantial advantages over onsite from a district’s perspective, but it unknown if engagement can be initiated sustained. We hypothesized that an COVID-19 program would noninferior with regard participation rates adherence...
Standard statistical analyses often exclude incomplete observations, which can be particularly problematic when predicting rare outcomes, such as HIV positivity. In the linkage to care dataset, there were initially 553 complete positive cases, with an additional 554 cases added through imputation. Imputation methods amelia, hmisc, mice and missForest evaluated. Simulations conducted across various scenarios using data guide imputation for full dataset. A random forest model was used predict...
The crossover design can be of use to save the number patients or improve power a parallel groups in studying treatments noncurable chronic diseases. We propose using generalized odds ratio for paired sample data measure relative effects ordinal between and periods. show that one apply commonly used asymptotic exact test procedures stratified analysis epidemiology non-equality data, as well obtain interval estimators under three-period design. further testing homogeneity sampling examine...
Abstract This study analyzed spatiotemporal spread patterns of COVID-19 confirmed cases at the zip code level in County San Diego and compared them to neighborhood social economic factors. We used correlation analysis, regression models, geographic weighted identify important factors spatial patterns. broke down temporal case into four stages from 1 April 2020 31 December 2020. The outbreak hotspots are South Bay, El Cajon, Escondido, rural areas. among different may represent fundamental...
Auxiliary covariate data are often collected in biomedical studies when the primary exposure variable is only assessed on a subset of study subjects. In this study, we investigate semiparametric-estimated likelihood estimation for generalized linear mixed models (GLMM) presence continuous auxiliary variable. We use kernel smoother to handle data. The method can be used deal with missing or mismeasured problems variety applications an available and cluster sizes not too small. Simulation...
Abstract When a new diagnostic procedure is developed, it important to assess whether the accuracy of different from that standard procedure. For paired‐sample ordinal data, this paper develops two test statistics for testing equality between procedures without assuming any parametric models. One derived on basis probability correctly identifying case randomly selected pair and non‐case over all possible cutoff points, other sensitivity specificity directly. To illustrate practical use...