Machine learning insights on the effectiveness of non-pharmaceutical interventions against COVID-19 in Nigeria.

ABSTRACT:

Background

The lack of effective pharmacological measures during the early phase of the COVID-19 pandemic prompted the implementation of non-pharmaceutical interventions (NPIs) as initial mitigation strategies. The impact of these NPIs on COVID-19 in Nigeria is not well-documented. This study sought to assess the effectiveness of NPIs to support future epidemic responses.

Methods

Daily COVID-19 cases and deaths were analysed using smoothed variables to identify transmission trends. Regression analysis and clustering algorithms were applied to evaluate the impact of each NPI.

Results

Multiple transmission peaks were reported, with the highest smoothed daily new cases (approximately 1790) observed around 29 December 2021 and smoothed daily new deaths (approximately 23)

SUBMITTER: Oyebola KM 

PROVIDER: S-EPMC12406770 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature