Cargando…
COVID-19 pandemic spread against countries’ non-pharmaceutical interventions responses: a data-mining driven comparative study
BACKGROUND: The first half of 2020 has been marked as the era of COVID-19 pandemic which affected the world globally in almost every aspect of the daily life from societal to economical. To prevent the spread of COVID-19, countries have implemented diverse policies regarding Non-Pharmaceutical Inter...
Autores principales: | Xylogiannopoulos, Konstantinos F., Karampelas, Panagiotis, Alhajj, Reda |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409702/ https://www.ncbi.nlm.nih.gov/pubmed/34470630 http://dx.doi.org/10.1186/s12889-021-11251-4 |
Ejemplares similares
-
Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends
por: Jurca, Gabriela, et al.
Publicado: (2016) -
Multiple genome analytics framework: The case of all SARS-CoV-2 complete variants
por: Xylogiannopoulos, Konstantinos F.
Publicado: (2022) -
Prediction of novel drug indications using network driven biological data prioritization and integration
por: Qabaja, Ala, et al.
Publicado: (2014) -
Data-driven multiscale dynamical framework to control a pandemic evolution with non-pharmaceutical interventions
por: Reingruber, Jürgen, et al.
Publicado: (2023) -
Advanced data mining and applications: third international conference, ADMA 2007, Harbin, China, August 6-8, 2007 proceedings
por: Alhajj, Reda, et al.
Publicado: (2007)