Progress in research on HIV cluster detection and response.
10.3760/cma.j.cn112338-20221114-00969
- Author:
Huan Chang YAN
1
;
Yu LIU
1
;
Shi Xing TANG
2
;
Jing GU
1
;
Yuan Tao HAO
3
Author Information
1. Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
2. Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
3. Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.
- Publication Type:Journal Article
- MeSH:
Humans;
HIV Infections/prevention & control*;
Acquired Immunodeficiency Syndrome/epidemiology*;
Public Health;
Epidemics/prevention & control*;
China/epidemiology*
- From:
Chinese Journal of Epidemiology
2023;44(4):677-682
- CountryChina
- Language:Chinese
-
Abstract:
HIV cluster detection and response (CDR) is a critical strategy to end the HIV epidemic by offering information to identify prevention and care services gaps. The risk metrics for HIV clusters can be classified into three groups: growth-based metrics, characteristic-based metrics, and phylogeny-based metrics. When identifying HIV risk clusters, the public health response can reach people in the affected networks, including people with undiagnosed HIV, people with diagnosed HIV who might not be accessing HIV care or other services, and people without HIV who would benefit from prevention services. To provide references for HIV precise prevention in China, we summarized the risk metrics and the intervention measures for CDR.
