An Overview of the World Current and Future Assessment of Novel COVID-19 Trajectory, Impact, and Potential Preventive Strategies at Healthcare Settings
- PMID: 32992809
- PMCID: PMC7579180
- DOI: 10.3390/ijerph17197016
An Overview of the World Current and Future Assessment of Novel COVID-19 Trajectory, Impact, and Potential Preventive Strategies at Healthcare Settings
Abstract
This study is an overview of the current and future trajectory, as well as the impact of the novel Coronavirus (COVID-19) in the world and selected countries including the state of Kuwait. The selected countries were divided into two groups: Group A (China, Switzerland, and Ireland) and Group B (USA, Brazil, and India) based on their outbreak containment of this virus. Then, the actual data for each country were fitted to a regression model utilizing the excel solver software to assess the current and future trajectory of novel COVID-19 and its impact. In addition, the data were fitted using the Susceptible-Infected-Recovered (SIR) Model. The Group A trajectory showed an "S" shape trend that suited a logistic function with r2 > 0.97, which is an indication of the outbreak control. The SIR models for the countries in this group showed that they passed the expected 99% end of pandemic dates. Group B, however, exhibited a continuous increase of the total COVID-19 new cases, that best suited an exponential growth model with r2 > 0.97, which meant that the outbreak is still uncontrolled. The SIR models for the countries in this group showed that they are still relatively far away from reaching the expected 97% end of pandemic dates. The maximum death percentage varied from 3.3% (India) to 7.2% with USA recording the highest death percentage, which is virtually equal to the maximum death percentage of the world (7.3%). The power of the exponential model determines the severity of the country's trajectory that ranged from 11 to 19 with the USA and Brazil having the highest values. The maximum impact of this COVID-19 pandemic occurred during the uncontrolled stage (2), which mainly depended on the deceptive stage (1). Further, some novel potential containment strategies are discussed. Results from both models showed that the Group A countries contained the outbreak, whereas the Group B countries still have not reached this stage yet. Early measures and containment strategies are imperative in suppressing the spread of COVID-19.
Keywords: COVID-19; containment strategies; death percentage; exponential model; polynomial model; trajectory.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
























Similar articles
-
Data-driven modelling and prediction of COVID-19 infection in India and correlation analysis of the virus transmission with socio-economic factors.Diabetes Metab Syndr. 2020 Sep-Oct;14(5):1231-1240. doi: 10.1016/j.dsx.2020.07.008. Epub 2020 Jul 9. Diabetes Metab Syndr. 2020. PMID: 32683321 Free PMC article.
-
COVID-19 pandemic outbreak: the Brazilian reality from the first case to the collapse of health services.An Acad Bras Cienc. 2020;92(4):e20200709. doi: 10.1590/0001-3765202020200709. Epub 2020 Aug 24. An Acad Bras Cienc. 2020. PMID: 32844985 Review.
-
Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model.JMIR Public Health Surveill. 2020 May 13;6(2):e19115. doi: 10.2196/19115. JMIR Public Health Surveill. 2020. PMID: 32391801 Free PMC article.
-
Phenomenological Modelling of COVID-19 Epidemics in Sri Lanka, Italy, the United States, and Hebei Province of China.Comput Math Methods Med. 2020 Oct 18;2020:6397063. doi: 10.1155/2020/6397063. eCollection 2020. Comput Math Methods Med. 2020. PMID: 33101454 Free PMC article.
-
The Coronavirus Disease 2019 (COVID-19) Pandemic.Tohoku J Exp Med. 2020 Apr;250(4):271-278. doi: 10.1620/tjem.250.271. Tohoku J Exp Med. 2020. PMID: 32321874 Review.
Cited by
-
Modelling Voluntary General Population Vaccination Strategies during COVID-19 Outbreak: Influence of Disease Prevalence.Int J Environ Res Public Health. 2021 Jun 8;18(12):6217. doi: 10.3390/ijerph18126217. Int J Environ Res Public Health. 2021. PMID: 34201285 Free PMC article.
-
Covid-19 Impact on Macular Neovascularization and Retinal Vein Occlusion Treatment: Single-Center Experience.Biomed Hub. 2021 Dec 8;6(3):145-152. doi: 10.1159/000519565. eCollection 2021 Sep-Dec. Biomed Hub. 2021. PMID: 35083227 Free PMC article.
-
Impact of COVID-19 infection on the cardiovascular system: An evidence-based analysis of risk factors and outcomes.Best Pract Res Clin Anaesthesiol. 2021 Oct;35(3):437-448. doi: 10.1016/j.bpa.2021.02.003. Epub 2021 Mar 1. Best Pract Res Clin Anaesthesiol. 2021. PMID: 34511231 Free PMC article. Review.
-
Can Socioeconomic, Health, and Safety Data Explain the Spread of COVID-19 Outbreak on Brazilian Federative Units?Int J Environ Res Public Health. 2020 Nov 30;17(23):8921. doi: 10.3390/ijerph17238921. Int J Environ Res Public Health. 2020. PMID: 33266276 Free PMC article.
-
Modelling the SARS-CoV-2 outbreak: Assessing the usefulness of protective measures to reduce the pandemic at population level.Sci Total Environ. 2021 Oct 1;789:147816. doi: 10.1016/j.scitotenv.2021.147816. Epub 2021 May 21. Sci Total Environ. 2021. PMID: 34052482 Free PMC article.
References
-
- Visualizing the History of Pandemics, Visual Capitalist. [(accessed on 30 March 2020)]; Available online: https://www.visualcapitalist.com/history-of-pandemics-deadliest/
-
- Edwards P., Hannover R.E. Epidemics: Past, Present and Future—What are the Risks? 2017. [(accessed on 30 March 2020)]; Available online: https://www.hannover-rueck.de/1085858/recent-medical-news-epidemics-2017....
-
- Benfield E., Treat J. As Ebola Death Toll Rises, Remembering History’s Worst Epidemics. National Geographic. [(accessed on 30 March 2020)]; Available online: https://www.nationalgeographic.com/news/2014/10/141025-ebola-epidemic-pe...
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical