Objectives The purpose of this study is to describe the current situation and forecast the trends of co-infection between the human immunodeficiency virus (HIV) and drug-susceptible tuberculosis (DS-TB) in different countries, across various age groups and genders. Methods We obtained data on the number of cases, age-standardized incidence rate, age-standardized prevalence rate, age-standardized rate of disability-adjusted life years (DALYs), and age-standardized death rate from the Global Burden of Disease (GBD) 2019 database. These data were used to describe the distribution and burden of co-infection between the human immunodeficiency virus (HIV) and DS-TB in different regions, genders, and age groups. We employed joinpoint regression analysis to analyze the temporal trends from 1990 to 2019. Additionally, an age-period-cohort model was established to forecast the future trends of co-infection up to 2040. Results The prevalence and burden of co-infection varied across different age groups and genders. The territories with the higher disease burden were distributed in some Asian and African countries. In terms of temporal trends, the age-standardized incidence rate and age-standardized prevalence rate of HIV and DS-TB co-infection exhibited an overall increasing trend from 1990 to 2019, and the prediction indicated a slow downward trend from 2019 to 2040. Conclusions The co-infection of HIV and DS-TB posed a grave threat to public health and economic development. What’s more, there existed a significant disparity between the actual state of co-infection and the desired goals for prevention and control.
Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040
Longhao Wang,Hengliang Lv,Xueli Zhang,Wenyi Zhang,Xin Zhang,Junzhu Bai,S. You,Xuan Li,Yong Wang,Jingli Du,Yue Su,Weilin Huang,Yingzhong Dai,Yuanyong Xu
Published 2023 in Heliyon
ABSTRACT
PUBLICATION RECORD
- Publication year
2023
- Venue
Heliyon
- Publication date
2023-12-01
- Fields of study
Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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