Comparing Time-Series Analysis Approaches Utilized in Research Papers to
  Forecast COVID-19 Cases in Africa: A Literature Review
Ali Ebadi Ebrahim Sahafizadeh
This literature review aimed to compare various time-series analysis
approaches utilized in forecasting COVID-19 cases in Africa. The study involved
a methodical search for English-language research papers published between
January 2020 and July 2023, focusing specifically on papers that utilized
time-series analysis approaches on COVID-19 datasets in Africa. A variety of
databases including PubMed, Google Scholar, Scopus, and Web of Science were
utilized for this process. The research papers underwent an evaluation process
to extract relevant information regarding the implementation and performance of
the time-series analysis models. The study highlighted the different
methodologies employed, evaluating their effectiveness and limitations in
forecasting the spread of the virus. The result of this review could contribute
deeper insights into the field, and future research should consider these
insights to improve time series analysis models and explore the integration of
different approaches for enhanced public health decision-making.