Publications by authors named "Jungang Zou"
Probability surveys are challenged by increasing nonresponse rates, resulting in biased statistical inference. Auxiliary information about populations can be used to reduce bias in estimation. Often continuous auxiliary variables in administrative records are first discretized before releasing to the public to avoid confidentiality breaches.
View Article and Find Full Text PDFObjectives: This study aims to (1) review machine learning (ML)-based models for early infection diagnostic and prognosis prediction in post-acute care (PAC) settings, (2) identify key risk predictors influencing infection-related outcomes, and (3) examine the quality and limitations of these models.
Materials And Methods: PubMed, Web of Science, Scopus, IEEE Xplore, CINAHL, and ACM digital library were searched in February 2024. Eligible studies leveraged PAC data to develop and evaluate ML models for infection-related risks.
Article Synopsis
- Participatory surveillance in Lesotho, called "LeCellPHIA," involved at-risk populations reporting influenza-like illness (ILI) symptoms via phone calls from interviewers during the COVID-19 pandemic.
- The study analyzed ILI trends and demographic factors from July 2020 to July 2021, revealing a 75% response rate with 122,985 reports, indicating higher ILI risk in older age groups, particularly those 60 and above.
- Findings were shared in real-time with health authorities to help monitor ILI trends and inform public health policies aimed at reducing COVID-19 transmission.
Article Synopsis
- Rhinitis is a common chronic nasal condition in children that is linked to asthma, although its development over time is not well understood.
- * The study tracked 688 children from infancy to age 11, identifying five types of rhinitis trajectories and their relationship to asthma symptoms through various questionnaires and assessments.
- * Results indicated that persistent and late-onset frequent rhinitis types were strongly associated with higher asthma diagnosis rates and more frequent asthma symptoms.
Importance: Historical redlining was a discriminatory housing policy that placed financial services beyond the reach of residents in inner-city communities. The extent of the impact of this discriminatory policy on contemporary health outcomes remains to be elucidated.
Objective: To evaluate the associations among historical redlining, social determinants of health (SDOH), and contemporary community-level stroke prevalence in New York City.
Article Synopsis
- The article discusses the importance of the ignorability assumption in causal inference related to treatment effects, noting that violating this assumption can lead to biased results.
- It highlights the lack of sensitivity analysis methods specifically for cases involving multiple treatments and binary outcomes, and introduces a new Monte Carlo sensitivity analysis approach designed for these scenarios.
- The proposed methods incorporate techniques like nested multiple imputation and Bayesian Additive Regression Trees, and are validated through simulations and a practical example using SEER-Medicare data for lung cancer treatments, with the tools available in the R package SAMTx.