Analysis on migration of HIV/AIDS cases and related factors in Liangshan Yi Autonomous Prefecture in Sichuan province, 2020.
10.3760/cma.j.cn112338-20210827-00686
- VernacularTitle:2020年四川省凉山彝族自治州HIV/AIDS流动情况及相关因素分析
- Author:
Budu SHAMA
1
;
Bin YU
2
;
Shu Juan YANG
3
;
Moluo WUNIUMO
1
;
A Rong LUO
1
;
Xiu Xia SUN
1
;
Zhuan Teng FENG
4
;
Zi Hang WANG
3
;
Aji NENGGE
1
;
Tian Lu LI
1
;
Zhong Hong WANG
1
;
Ju WANG
1
;
Xiao Ying FENG
1
;
Gang YU
1
;
Chunnong JIKE
1
Author Information
1. Department of HIV/AIDS Control and Prevention, Liangshan Yi Autonomous Prefecture Center for Disease Control and Prevention, Xichang 615000, China.
2. West China Second University Hospital/Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, Sichuan University , Chengdu 610041, China.
3. West China School of Public Health /West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
4. West China School of Public Health /West China Fourth Hospital, Sichuan University, Chengdu 610041, China Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610207, China.
- Publication Type:Journal Article
- MeSH:
Acquired Immunodeficiency Syndrome/epidemiology*;
Adolescent;
Adult;
Child;
Child, Preschool;
China/epidemiology*;
Ethnicity;
HIV Infections/epidemiology*;
Humans;
Infant;
Infant, Newborn;
Logistic Models;
Marriage;
Young Adult
- From:
Chinese Journal of Epidemiology
2022;43(1):44-49
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To analyze the migration of the HIV/AIDS cases and related factors in Liangshan Yi autonomous prefecture (Liangshan). Methods: According to HIV/AIDS Comprehensive Response Information Management System of China Information System for Disease Control and Prevention, a total of 28 772 HIV/AIDS cases who had follow-up records in Liangshan in 2020 were included in the survey. The migration of the HIV/AIDS cases was described and the related factors were analyzed using multiple logistic regression models, and the migration destinations of the HIV/AIDS cases were mapped. Results: Among the 28 772 HIV/AIDS cases, 20.89% (6 010/28 772) had migration in 2020. Multivariate logistic regression analysis showed that among the HIV/AIDS cases, the migration related factors included being aged 15-24 years (compared with being aged 0-14 years, OR=2.74, 95%CI:2.04-3.69) and ethnic group (compared with Han ethnic group, OR=2.44, 95%CI:2.19-2.72), having education level of junior high school (compared with having education level of primary school or below, OR=1.25, 95%CI:1.14-1.38), being unmarried (compared with being married, OR=1.29, 95%CI:1.20-1.39), being engaged in business services (compared with being engaged in farming, OR=1.96, 95%CI:1.31-2.92), receiving antiviral treatment <1 year (compared with receiving antiviral treatment >3 years, OR=1.42, 95%CI:1.26-1.61), having recent CD4+T lymphocytes (CD4) counts >500 cells/μl (compared with having recent CD4 counts <200 cells/μl, OR=1.15, 95%CI:1.03-1.29). The geographical distribution maps showed that among all cities in Sichuan, Xichang (13.26%, 797/6 010) and Chengdu (10.12%,608/6 010) were the main migration destinations of the HIV/AIDS cases, and the provinces outside Sichuan where the HIV/AIDS cases would like to migrate to were mainly Guangdong (18.19%, 1 093/6 010) and Zhejiang provinces (7.67%, 461/6 010) in 2020. The HIV/AIDS cases who migrated where Liangshan, within Sichuan province, and to other provinces accounted for 27.67% (1 663/6 010), 15.34% (922/6 010) and 56.99% (3 425/6 010), respectively. Conclusions: More attention should be paid to the mobility characteristics and the classification management of HIV/AIDS cases according to their characteristics in Liangshan. Timely access to information on changes in the place of work and residence of HIV/AIDS cases should be warranted when they have migration. Good referrals and management for mobility of HIV/AIDS cases in different places should be made to reduce loss to follow-up and improving interventions.
