Overview
Epidemic control is the set of strategies and measures used to limit the spread of an infectious disease once it is propagating within a population and to reduce its associated morbidity and mortality. For coronaviruses, including SARS-CoV-2, control combines surveillance, case detection, and intervention with the quantitative analysis needed to anticipate the epidemic's course. Mathematical modeling and epidemic prediction are central, providing forecasts of transmission and outbreak risk that guide the timing and intensity of measures and inform prevention and control planning. Visual and analytical tools that display the progression of outbreaks across regions support situational awareness and decision-making. Control measures span non-pharmaceutical interventions, vaccination strategy, and the management of transmission at the community level, and they must account for the role of animals as potential sources and for the determinants that shape exposure and risk of death in specific settings. The field also draws lessons from established programs in disease prevention and from adaptations such as tele-pharmacy that sustain services during emergencies, and it contends with the information environment, including the detection of misinformation. Sub-areas include epidemiological modeling and forecasting, surveillance and case detection, non-pharmaceutical and vaccination interventions, and the operational delivery of control in varied settings. Effective epidemic control integrates prediction, monitoring, and intervention to interrupt transmission and protect populations.
Research published in this journal
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The Novel Coronavirus 2019 (COVID-19): A Narrative Review
A New Graph to Display the Epidemic Outbreaks of Covid-19 in the World
SARS-Corona Virus-2 Origin and Treatment, From Coffee to Coffee: A Double-Edged Sword
Perspectives of Health Care Providers Working with HIV Positive Clients on Nutritional Challenges Among People Living with HIV/AIDS in Kigali, Rwanda
Mathematical Modeling and Epidemic Prediction of COVID-19 and its Significance to Epidemic Prevention and Control Measures
Analysis of Risk of Death due to COVID-19 in Cameroon
Building on Success in Tobacco Control: A Roadmap Towards Tobacco-Free Oman (Perspective Review)
Dynamics of Infections and Number of Vaccines Needed to Avoid Covid-19 in Europe
Animals in the COVID-19 Era: Between Being a source, Victims, or Maybe our Hope to Overcome it!
Tele-Pharmacists’ Prospects in Pandemic Situations: A Bangladesh Scenario
A Data Mining Methodology for Detecting Conspiracy Theories from Scientific Articles: The Covid-19 Case
How this research is being cited
The 12 articles above have been cited 112 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2026 · BMJ Open Quality
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2025 · Tobacco Prevention & Cessation
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2025 · Tobacco Prevention & Cessation
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2025 · Frontiers
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Thamra Al Ghafri et al. · 2025 · Sultan Qaboos University Medical Journal
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2024 · AIP conference proceedings
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2024 · General Letters in Mathematics
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Ebisindor Victoria et al. · 2024 · World Journal of Advanced Research and Reviews
A sample of recent works citing this journal's research on Epidemic Control, linking to each citing work.