Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040
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...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023106876 |
| _version_ | 1797337065512239104 |
|---|---|
| author | Longhao Wang Hengliang Lv Xueli Zhang Xin Zhang Junzhu Bai Shumeng You Xuan Li Yong Wang Jingli Du Yue Su Weilin Huang Yingzhong Dai Wenyi Zhang Yuanyong Xu |
| author_facet | Longhao Wang Hengliang Lv Xueli Zhang Xin Zhang Junzhu Bai Shumeng You Xuan Li Yong Wang Jingli Du Yue Su Weilin Huang Yingzhong Dai Wenyi Zhang Yuanyong Xu |
| author_sort | Longhao Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T09:04:01Z |
| format | Article |
| id | doaj.art-f5b479d2418f409dbe7d8834d6d17aaf |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-08T09:04:01Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-f5b479d2418f409dbe7d8834d6d17aaf2024-02-01T06:32:04ZengElsevierHeliyon2405-84402024-01-01101e23479Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040Longhao Wang0Hengliang Lv1Xueli Zhang2Xin Zhang3Junzhu Bai4Shumeng You5Xuan Li6Yong Wang7Jingli Du8Yue Su9Weilin Huang10Yingzhong Dai11Wenyi Zhang12Yuanyong Xu13Department of Health Statistics, Faculty of Military Preventive Medicine, Army Medical University, Chongqing, China; Chinese PLA Center for Disease Control and Prevention, Beijing, ChinaChinese PLA Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, ChinaChangchun University of Chinese Medicine, Changchun, ChinaChinese PLA Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, ChinaChinese PLA Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, ChinaChinese PLA Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, ChinaChinese PLA Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaChinese PLA Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaTuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The 8th Medical Center of PLA General Hospital, Beijing, ChinaTuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The 8th Medical Center of PLA General Hospital, Beijing, ChinaCollege of Basic Medicine, Army Medical University, Chongqing, ChinaCollege of Basic Medicine, Army Medical University, Chongqing, ChinaChinese PLA Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaChinese PLA Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China; Corresponding author. 20, East Street, Fengtai District, Beijing, 100071, China.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.http://www.sciencedirect.com/science/article/pii/S2405844023106876HIVAcquired immunodeficiency syndromeDrug-susceptible tuberculosisPrevalenceBurdenJoinpoint regression |
| spellingShingle | Longhao Wang Hengliang Lv Xueli Zhang Xin Zhang Junzhu Bai Shumeng You Xuan Li Yong Wang Jingli Du Yue Su Weilin Huang Yingzhong Dai Wenyi Zhang Yuanyong Xu Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040 Heliyon HIV Acquired immunodeficiency syndrome Drug-susceptible tuberculosis Prevalence Burden Joinpoint regression |
| title | Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040 |
| title_full | Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040 |
| title_fullStr | Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040 |
| title_full_unstemmed | Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040 |
| title_short | Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040 |
| title_sort | global prevalence burden and trend in hiv and drug susceptible tuberculosis co infection from 1990 to 2019 and prediction to 2040 |
| topic | HIV Acquired immunodeficiency syndrome Drug-susceptible tuberculosis Prevalence Burden Joinpoint regression |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023106876 |
| work_keys_str_mv | AT longhaowang globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT henglianglv globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT xuelizhang globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT xinzhang globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT junzhubai globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT shumengyou globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT xuanli globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT yongwang globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT jinglidu globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT yuesu globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT weilinhuang globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT yingzhongdai globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT wenyizhang globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 AT yuanyongxu globalprevalenceburdenandtrendinhivanddrugsusceptibletuberculosiscoinfectionfrom1990to2019andpredictionto2040 |