Coronavirus Prevention

Overview

Coronavirus prevention encompasses the strategies, interventions, and public health measures designed to reduce transmission of coronaviruses, particularly SARS-CoV-2, and mitigate the impact of COVID-19 on populations. Research published in the International Journal of Coronaviruses addresses multiple dimensions of this topic, including mathematical modeling to predict outbreak risk and inform epidemic control measures, assessments of knowledge and preventive practices among specific populations such as pregnant women, and analyses of how socio-demographic factors influence COVID-19 risk exposure. The journal has examined the pandemic's broader implications for prevention efforts, including its socio-economic impact in Africa, effects on education and workforce training systems, and consequences for mental health. Additional research has explored the role of animals in disease transmission and potential therapeutic applications, as well as the geopolitical dimensions of infectious disease emergence and gain-of-function research. This body of work reflects the multifaceted nature of coronavirus prevention, which extends beyond individual protective behaviors to encompass epidemiological surveillance, resource allocation, community education, and the social determinants that shape vulnerability and response capacity across different populations and regions.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 12 articles above have been cited 96 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

• Homeomorphisms operating in a one-dimensional simplex
  2024 · AIP conference proceedings
• Determine the Best Models for Time Series by using a New Suggested Technique
  2024 · General Letters in Mathematics
• Vaccination on SIR model of Covid-19 using backstepping control
  2023 · AIP conference proceedings
• Novel Approach for Identification of Basic and Effective Reproduction Numbers Illustrated with COVID-19
  2023 · Viruses
• Modified Predictor–Corrector Method for the Numerical Solution of a Fractional-Order SIR Model with 2019-nCoV
  2022 · Fractal and Fractional
• Forecasting COVID-19 Case Trends Using SARIMA Models during the Third Wave of COVID-19 in Malaysia
  2022 · International Journal of Environmental Research and Public Health
• The basic reproduction number of COVID-19 across Africa
  2022 · PLoS ONE
• Mathematical Modeling and Numerical Simulation for the Outbreak of COVID-19 Involving Loss of Immunity and Quarantined Class
  2022 · Computational and Mathematical Methods in Medicine

A sample of recent works citing this journal's research on Coronavirus Prevention, linking to each citing work.

This page summarises published research for orientation; it is not medical or professional advice.

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