Bayesian hierarchical time-varying distributed lag nonlinear model: applications in the short-term association between ambient temperature and daily confirmed cases of COVID-19.

Han D, Lee K, Chung Y, Kobayashi G, Choi T

Open source

DOI
10.1080/02664763.2025.2577659
Published
2026
Container
Journal of applied statistics
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1080/02664763.2025.2577659,
  title = {Bayesian hierarchical time-varying distributed lag nonlinear model: applications in the short-term association between ambient temperature and daily confirmed cases of COVID-19.},
  author = {Han D and Lee K and Chung Y and Kobayashi G and Choi T},
  year = {2026},
  journal = {Journal of applied statistics},
  doi = {10.1080/02664763.2025.2577659},
  url = {https://doi.org/10.1080/02664763.2025.2577659}
}

RIS

TY  - JOUR
TI  - Bayesian hierarchical time-varying distributed lag nonlinear model: applications in the short-term association between ambient temperature and daily confirmed cases of COVID-19.
AU  - Han D
AU  - Lee K
AU  - Chung Y
AU  - Kobayashi G
AU  - Choi T
PY  - 2026
JO  - Journal of applied statistics
DO  - 10.1080/02664763.2025.2577659
UR  - https://doi.org/10.1080/02664763.2025.2577659
ER  - 

APA

D, H., K, L., Y, C., G, K., & T, C. (2026). Bayesian hierarchical time-varying distributed lag nonlinear model: applications in the short-term association between ambient temperature and daily confirmed cases of COVID-19.. Journal of applied statistics. https://doi.org/10.1080/02664763.2025.2577659

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