Covid-19 Resilience: A Review

Clicks: 223
ID: 275917
2022
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #3 of 6 articles by views in World of Science: Journal on Modern Research Methodologies

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The world-wide occurrence of Covid-19 has made prevention and mitigation of the pandemic an issue of serious concern universally. This paper reviews literature on Covid-19 resilience with a view to exploring the varied aspects been put in place to curtail or mitigate the disastrous tendencies associated with the prevalence of this contemporary disease. The sources of data for this paper were purely secondary with particular reference to covid-19 resilience. From the review it was inferred that aspect of Covid-19 resilience in relation to physical planning, tourism and community resilience have been undertaken significantly but aspect that relates to health resilience more especially which concerns people with terminal diseases needs adequate attention for further exploration as well as researches on Artificial Intelligence (AI) in Covid-19 resilience in relation to the environment also needs to be conducted the more.  
Reference Key
Danladi2022worldCovid-19 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Amos Danladi;Haruna Ahmadu;Maimuna Aboki;Zainab Mohammed Zakari;Haleema Ja’afar;Kevin Bako Koza;Nuhu Abdullahi;Kauthar Abubakar Mikail;Micheal Silas Dadai;Zainab Muhammed Dalhatu;Solomon Dembo;Yahaya Abdullahi;Gabriel Ling Hoh Teck;Modi Sule Zango;Abdullahi Sadauki;Solomon Zakka Dyachia;Isa Abdullahi;Hassan Muhammad;
Journal World of Science: Journal on Modern Research Methodologies
Year 2022
DOI
16
URL
https://univerpubl.com/index.php/woscience/article/view/16
Keywords
Tourism resilience health community ai physical covid-19

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.