Data

Covid-19 datasets for research

Charles Sturt University
Wong, Hui Shan ; Hasan, Md Zobaer ; Sharif, Omar ; Rahman, Azizur
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.1371/journal.pone.0284157.s001-3&rft.title=Covid-19 datasets for research&rft.identifier=10.1371/journal.pone.0284157.s001-3&rft.publisher=Public Library of Science (PLoS)&rft.description=These datasets were used for our paper on COVID-19 Research.&rft.creator=Wong, Hui Shan &rft.creator=Hasan, Md Zobaer &rft.creator=Sharif, Omar &rft.creator=Rahman, Azizur &rft.date=2023&rft.relation=http://researchoutput.csu.edu.au/en/publications/1815a4bb-0df9-4570-b987-0c1e4d51f990&rft.coverage=Malaysia&rft_rights=Licences for items within this collection vary. See individual items for the licences that apply to them.&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Other view details
Unknown

Licences for items within this collection vary. See individual items for the licences that apply to them.

Access:

Open

Full description

These datasets were used for our paper on COVID-19 Research.

Notes

External Organisations
University of Texas Rio Grande Valley; Monash University Malaysia
Associated Persons
Hui Shan Wong (Creator); Md Zobaer Hasan (Creator); Omar Sharif (Creator)

Created: 2020-03-15 to 2021-03-31

Issued: 2023-04-28

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related Publications

Related Organisations

Related People

Related Websites

  • Associated with Since November 2019, most countries across the globe have suffered from the disastrous consequences of the Covid-19 pandemic which redefined every aspect of human life. Given the inevitable spread and transmission of the virus, it is critical to acknowledge the factors that catalyse transmission of the disease. This research investigates the relation of the external demographic parameters such as total population, population density and weighted population density on the spread of Covid-19 in Malaysia. Pearson correlation and simple linear regression were utilized to identify the relation between the population-related variables and the spread of Covid-19 in Malaysia using data from 15th March 2020 to 31st March 2021. As a result, a strong positive significant correlation between the total population and Covid-19 cases was found. However, a weak positive relationship was found between the density variable (population density and weighted population density) and the spread of Covid-19. Our findings suggest that the transmission of Covid-19 during lockdown (Movement Control Order, MCO) in Malaysia was more readily explained by the demographic variable population size, than population density or weighted population density. Thus, this study could be helpful in intervention planning and managing future virus outbreaks in Malaysia.
    figshare.com/articles/dataset/S1_File_-/22711952
  • Associated with journals.plos.org/plosone/article?id=10.1371/journal.pone.0284157
    journals.plos.org/plosone/article?id=10.1371/journal.pone.0284157

Spatial Coverage And Location

text: Malaysia

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers