Výsledky vyhledávání

Akademický článek

The epidemiology and risk factors of delayed diagnosis in newly reported HIV/AIDS cases in Xuhui District， Shanghai， 2018‒2022

Autor: ZHANG Boshu, ZHU Kaijin, ZHANG Jing, XU Ning, HUANG Wenyuan, CAI Xiaofeng, YANG Meixia

Publikováno v: Shanghai yufang yixue, Vol 36, Iss 5, Pp 429-434 (2024)

ObjectiveTo investigate the trends and significant determinants of delayed HIV diagnosis （DHD） among newly reported HIV/AIDS cases in Xuhui District， Shanghai between 2018 and 2022.MethodsIn the newly reported HIV/AIDS cases， patients died wi

Externí odkaz: https://doaj.org/article/52d32cb626d646d0b650528899c8e256

Zobrazit plný text záznamu

Akademický článek

Latent tuberculosis infection and screening method among close contacts in schools in Xuhui District，Shanghai from 2020 to 2022

Autor: ZHANG Sainan, YANG Meixia, CAI Xiaofeng, XU Xiang, ZHANG Yi

Publikováno v: Shanghai yufang yixue, Vol 35, Iss 12, Pp 1223-1226 (2023)

ObjectiveTo investigate the latent tuberculosis infection （LTBI） of close contacts in schools of Xuhui District， and to explore the tuberculin skin test （TST）- interferon-γ release assay （IGRA） two-step method in order to discover the

Externí odkaz: https://doaj.org/article/eb6524b45c9046b08a0010e033b63f8f

Zobrazit plný text záznamu

Akademický článek

Sexually transmitted infections （STIs） and related factors among pregnant women with non-local household registration in Xuhui District， Shanghai

Autor: YIN Jiangfan, FANG Fang, LIU Yang, LIN Ming, YANG Meixia, ZHOU Yibiao

Publikováno v: Shanghai yufang yixue, Vol 35, Iss 2, Pp 110-115 (2023)

ObjectiveTo study the sexually transmitted infections （STIs） in pregnant women with non-local household registration in Xuhui District and analyze the risk factors for STIs.MethodsFrom April 2020 to March 2022， pregnant women with non-local hou

Externí odkaz: https://doaj.org/article/fd09f60744a148668918bab263f255b9

Zobrazit plný text záznamu

Report

Semismooth Newton Augmented Lagrangian Algorithm for Adaptive Lasso Penalized Least Squares in Semiparametric Regression

Autor: Yang, Meixia, Xiao, Yunhai, Li, Peili, Zhu, Hanbing

This paper is concerned with a partially linear semiparametric regression model containing an unknown regression coefficient, an unknown nonparametric function, and an unobservable Gaussian distributed random error. We focus on the case of simultaneo

Externí odkaz: http://arxiv.org/abs/2111.10766