Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review.

Wang P, Zheng X, Liu H

Open source

DOI
10.3389/fpubh.2022.1033432
Published
2022
Container
Frontiers in public health
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fpubh.2022.1033432,
  title = {Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review.},
  author = {Wang P and Zheng X and Liu H},
  year = {2022},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2022.1033432},
  url = {https://doi.org/10.3389/fpubh.2022.1033432}
}

RIS

TY  - JOUR
TI  - Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review.
AU  - Wang P
AU  - Zheng X
AU  - Liu H
PY  - 2022
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2022.1033432
UR  - https://doi.org/10.3389/fpubh.2022.1033432
ER  - 

APA

P, W., X, Z., & H, L. (2022). Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review.. Frontiers in public health. https://doi.org/10.3389/fpubh.2022.1033432

Source records