TY  - JOUR
AU  - Liu, Kui
AU  - Xie, Zhenhua
AU  - Xie, Bo
AU  - Chen, Songhua
AU  - Zhang, Yu
AU  - Wang, Wei
AU  - Wu, Qian
AU  - Cai, Gaofeng
AU  - Chen, Bin
PY  - 2022
DA  - 2022/7/29
TI  - Bridging the Gap in End Tuberculosis Targets in the Elderly Population in Eastern China: Observational Study From 2015 to 2020
JO  - JMIR Public Health Surveill
SP  - e39142
VL  - 8
IS  - 7
KW  - pulmonary tuberculosis
KW  - elderly population
KW  - prediction
AB  - Background: With a progressive increase in the aging process, the challenges posed by pulmonary tuberculosis (PTB) are also increasing for the elderly population. Objective: This study aimed to identify the epidemiological distribution of PTB among the elderly, forecast the achievement of the World Health Organization’s 2025 goal in this specific group, and predict further advancement of PTB in the eastern area of China. Methods: All notified active PTB cases aged ≥65 years from Zhejiang Province were screened and analyzed. The general epidemiological characteristics were depicted and presented using the ArcGIS software. Further prediction of PTB was performed using R and SPSS software programs. Results: Altogether 41,431 cases aged ≥65 years were identified by the surveillance system from 2015 to 2020. After excluding extrapulmonary TB cases, we identified 39,832 PTB cases, including laboratory-confirmed (23,664, 59.41%) and clinically diagnosed (16,168, 40.59%) PTB. The notified PTB incidence indicated an evident downward trend with a reduction of 30%; however, the incidence of bacteriologically positive cases was steady at approximately 60/100,000. Based on the geographical distribution, Quzhou and Jinhua Cities had a higher PTB incidence among the elderly. The delay in PTB diagnosis was identified, and a significantly prolonged treatment course was observed in the elderly. Moreover, a 50% reduction of PTB incidence by the middle of 2024 was predicted using a linear regression model. It was found that using the exponential smoothing model would be better to predict the PTB trend in the elderly than a seasonal autoregressive integrated moving average model. Conclusions: More comprehensive and effective interventions such as active PTB screening combined with physical checkup and succinct health education should be implemented and strengthened in the elderly. A more systematic assessment of the PTB epidemic trend in the elderly population should be considered to incorporate more predictive factors. 
SN  - 2369-2960
UR  - https://publichealth.jmir.org/2022/7/e39142
UR  - https://doi.org/10.2196/39142
UR  - http://www.ncbi.nlm.nih.gov/pubmed/35904857
DO  - 10.2196/39142
ID  - info:doi/10.2196/39142
ER  -