Temporal disruption in tuberculosis incidence patterns during COVID-19: a time series analysis in China
The COVID-19 pandemic has had a temporary but significant impact on PTB incidence in China, leading to a reduction in reported cases during the pandemic. However, as pandemic control measures relax and the healthcare system stabilizes, PTB incidence patterns are expected to return to pre-COVID-19 levels. The Prophet model demonstrated the best predictive performance and proves to be a valuable tool for analyzing PTB trends and guiding public health planning in the post-pandemic era.
Authors
- Yongwu Yu
- Karuppiah Thilakavathy (ORCID: https://orcid.org/0000-0001-5027-6791)
- Luo Juan
- Zhong Sun (ORCID: https://orcid.org/0000-0002-3100-5053)
- Narcisse Joseph (ORCID: https://orcid.org/0000-0002-8848-2256)
- Guozhong He (ORCID: https://orcid.org/0000-0001-8022-5012)
- Jiarui Zhang (ORCID: https://orcid.org/0009-0002-7294-541X)
- Qi Deng (ORCID: https://orcid.org/0000-0003-3154-6711)
- Xingyue Dian
Institutions
- Universiti Putra Malaysia (MY)
- Kunming Medical University (CN)
- Second People's Hospital of Yunnan Province (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2024-12-13
- DOI
- https://doi.org/10.7717/peerj.18573
- Citations
- 5
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 1.98
Funders
- National Natural Science Foundation of China