Publications by authors named "S Hay"
Inter-city movement pattern of notifiable infectious diseases in China: a social network analysis.
Lancet Reg Health West Pac
January 2025
Background: Co-existence of efficient transportation networks and geographic imbalance of medical resources greatly facilitated inter-city migration of patients of infectious diseases in China.
Methods: To characterize the migration patterns of major notifiable infectious diseases (NIDs) during 2016-2020 in China, we collected migratory cases, who had illness onset in one city but were diagnosed and reported in another, from the National Notifiable Infectious Disease Reporting System, and conducted a nationwide network analysis of migratory cases of major NIDs at the city (prefecture) level.
Findings: In total, 2,674,892 migratory cases of NIDs were reported in China during 2016-2020.
Background: Wild birds are significant vectors in global pathogen transmission, but the diversity and spatial distribution of the pathogens detected in them remain unclear. Understanding the transmission dynamics and hotspots of wild-bird-associated pathogens (WBAPs) is crucial for early disease prevention.
Methods: We compiled an up-to-date dataset encompassing all WBAPs by conducting an extensive search of publications from 1959 to 2022, mapped their diversity and global distribution, and utilized three machine learning algorithms to predict geospatial hotspots where zoonotic and emerging WBAPs were prevalent.
Article Synopsis
- The audit aimed to assess and improve the completeness and accuracy of the National Joint Registry (NJR) dataset specifically for elbow arthroplasty surgeries.
- In a two-phase approach, Phase 1 compared NJR data with NHS England Hospital Episode Statistics (HES), identifying thousands of unmatched and inaccurate records, particularly for radial head arthroplasties (RHAs).
- Phase 2 involved collaboration among 142 NHS hospitals to correct and update records, resulting in an improved completeness of the NJR dataset from 63% to 93% and accuracy from 94% to 98%.
Background: The Human Development Index (HDI)-a composite metric encompassing a population's life expectancy, education, and income-is used widely for assessing and comparing human development and wellbeing at the country level, but does not account for within-country inequality. In this study of the USA, we aimed to adapt the HDI framework to measure the HDI at an individual level to examine disparities in the distribution of wellbeing by race and ethnicity, sex, age, and geographical location.
Methods: We used individual-level data on adults aged 25 years and older from the 2008-21 American Community Survey (ACS) Public Use Microdata Sample.