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. 2021 Jan:64:102568.
doi: 10.1016/j.scs.2020.102568. Epub 2020 Oct 22.

Coronavirus disease (COVID-19) prevention and treatment methods and effective parameters: A systematic literature review

Amir Masoud Rahmani  1   2   3 , Seyedeh Yasaman Hosseini Mirmahaleh  4
Affiliations

Coronavirus disease (COVID-19) prevention and treatment methods and effective parameters: A systematic literature review

Amir Masoud Rahmani et al. Sustain Cities Soc. 2021 Jan.

Abstract

Background and objective: The coronavirus disease 2019 (COVID-19) outbreak was first identified in Wuhan in December 2019, which was declared a pandemic virus by the world health organization on March 11 in 2020. COVID-19 is an infectious disease and almost leads to acute respiratory distress syndrome. Therefore, the virus epidemic is a big problem for humanity healthy and can lead die in special people with background diseases such as chronic obstructive pulmonary diseases, chronic heart failure, diabetes mellitus, and kidney failure. Different medical, social, and engineering methods have been proposed to face the disease include treatment, detection, prevention, and prediction approaches.

Methods: We propose a taxonomy tree to investigate the disease confronting methods and their negative and positive effects. Our work consists of a case study and systematic literature review (SLR) to evaluate the proposed methods against the virus outbreak and disease epidemic.

Results: Our experimental results and observations demonstrate the impact of the proposed medical, prevention, detection, prediction, and social methods for facing the spread of COVID-19 from December 2019 to July 2020.

Conclusion: Our case study can help people have more information about the disease and its impact on humanity healthy and illustrate effective self-caring methods and therapies.

Keywords: COVID-19; Detection; Prevention; Systematic literature review (SLR); Treatment.

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Conflict of interest statement

The authors report no declarations of interest.

Figures

Fig. 1
Fig. 1
The stages of our research method.
Fig. 2
Fig. 2
The number of referred papers depending on digital library.
Fig. 3
Fig. 3
A taxonomy tree for classifying the case studies.
Fig. 4
Fig. 4
COVID-19 new cases mapping in all the world (Anonymous, 2020a) (a) Displaying the severity of the disease based on color (b) The statistic of COVID-19 new cases on the world map.
Fig. 5
Fig. 5
Effective parameters in the spread of COVID-19 (%).
Fig. 6
Fig. 6
The impact of the categorized prevention methods against COVID-19 outbreak (%).
Fig. 7
Fig. 7
The impact of the categorized methods against COVID-19 outbreak (%).
Fig. 8
Fig. 8
The Statistics of the detected new cases of patients with COVID-19 in all the world (Anonymous, 2020a).
Fig. 9
Fig. 9
The Statistics of the dead people with COVID-19 in all the world (Anonymous, 2020a).
See this image and copyright information in PMC

References

    1. Abel T., McQueen D. The COVID-19 pandemic calls for spatial distancing and social closeness: Not for social distancing. International Journal of Public Health. 2020;65:231. Apr 1. - PMC - PubMed
    1. Aguilar J.B., Faust J.S., Westafer L.M., Gutierrez J.B. medRxiv; 2020. A model describing COVID-19 community transmission taking into account asymptomatic carriers and risk mitigation. Jan 1.
    1. Anonymous https://www.nytimes.com/interactive/2020/world/coronavirus-maps.html#map.
    1. Anonymous https://www.worldometers.info/coronavirus/?utm_campaign=homeAdvegas1?.
    1. Anonymous https://www.who.int/docs/default-source/coronaviruse/situation-reports/2... (Accessed on 24 July 2020).

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