Home ›
Entities
› academia
› Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning
Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning
Research article (Transboundary and Emerging Diseases, 2020) · cited 44× · AI/ML
Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning
Summary
Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning is a scholarly article[1].
Key Facts
Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploring-the-growth-of-covid19-cases-using-exponential-modelling-across-42-countries-and-predicting-signs-of-early-cont
MLA“Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploring-the-growth-of-covid19-cases-using-exponential-modelling-across-42-countries-and-predicting-signs-of-early-cont.
BibTeX@misc{4ortxyz_exploring-the-growth-of-covid19-cases-using-exponential-modelling-across-42-countries-and-predicting-signs-of-early-cont_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/exploring-the-growth-of-covid19-cases-using-exponential-modelling-across-42-countries-and-predicting-signs-of-early-cont}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning — https://4ort.xyz/entity/exploring-the-growth-of-covid19-cases-using-exponential-modelling-across-42-countries-and-predicting-signs-of-early-cont (retrieved 2026-05-24)