Cargando…
Systematic review of predictive mathematical models of COVID-19 epidemic
BACKGROUND: Various mathematical models were published to predict the epidemiological consequences of the COVID-19 pandemic. This systematic review has studied the initial epidemiological models. METHODS: Articles published from January to June 2020 were extracted from databases using search strings...
Autores principales: | Shankar, Subramanian, Mohakuda, Sourya Sourabh, Kumar, Ankit, Nazneen, P.S., Yadav, Arun Kumar, Chatterjee, Kaushik, Chatterjee, Kaustuv |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313025/ https://www.ncbi.nlm.nih.gov/pubmed/34334908 http://dx.doi.org/10.1016/j.mjafi.2021.05.005 |
Ejemplares similares
-
Healthcare impact of COVID-19 epidemic in India: A stochastic mathematical model
por: Chatterjee, Kaustuv, et al.
Publicado: (2020) -
Reply to ‘Coronavirus disease 2019 prevention, control and modelling metrics’
por: Chatterjee, Kaushik, et al.
Publicado: (2020) -
Coronavirus disease 2019 in India: Post-lockdown scenarios and provisioning for health care
por: Chatterjee, Kaushik, et al.
Publicado: (2020) -
Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio and Their Role as Predictors of Disease Severity of Coronavirus Disease 2019 (COVID-19)
por: Jain, Rohit, et al.
Publicado: (2021) -
COVISHIELD (AZD1222) VaccINe effectiveness among healthcare and frontline Workers of INdian Armed Forces: Interim results of VIN-WIN cohort study
por: Ghosh, Subhadeep, et al.
Publicado: (2021)