Systematic review of predictive mathematical models of COVID-19 epidemic.

ABSTRACT:

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 and those peer-reviewed with full text in English were included in the study. They were analysed as to whether they made definite predictions in terms of time and numbers, or contained only mathematical assumptions and open-ended predictions. Factors such as early vs. late prediction models, long-term vs. curve-fitting models and comparisons based on modelling techniques were analysed in detail.

Results

Among 56,922 hits in 05 databases, screening yielded 434 abstracts, of w

SUBMITTER: Shankar S 

PROVIDER: S-EPMC8313025 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature