| dc.contributor.author |
Chaliyeduth, Sreekanth et al. |
|
| dc.coverage.spatial |
United Kingdom |
|
| dc.date.accessioned |
2021-02-17T05:10:05Z |
|
| dc.date.available |
2021-02-17T05:10:05Z |
|
| dc.date.issued |
2020-12 |
|
| dc.identifier.citation |
Chaliyeduth, Sreekanth et al., "A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India", Journal of the American Medical Informatics Association, DOI: 10.1093/jamia/ocaa203, vol. 27, no. 12, pp. 1913-1920, Dec. 2020. |
en_US |
| dc.identifier.issn |
1067-5027 |
|
| dc.identifier.issn |
1527-974X |
|
| dc.identifier.uri |
https://academic.oup.com/jamia/article/27/12/1913/5882022 |
|
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/6274 |
|
| dc.description.abstract |
India reported its first coronavirus disease 2019 (COVID-19) case in the state of Kerala and an outbreak initiated subsequently. The Department of Health Services, Government of Kerala, initially released daily updates through daily textual bulletins for public awareness to control the spread of the disease. However, these unstructured data limit upstream applications, such as visualization, and analysis, thus demanding refinement to generate open and reusable datasets. |
|
| dc.description.statementofresponsibility |
by Sreekanth Chaliyeduth et al. |
|
| dc.format.extent |
vol. 27, no. 12, pp. 1913-1920 |
|
| dc.language.iso |
en_US |
en_US |
| dc.publisher |
Oxford University Press |
en_US |
| dc.subject |
Kerala |
en_US |
| dc.subject |
India |
en_US |
| dc.subject |
COVID-19 |
en_US |
| dc.subject |
Open data |
en_US |
| dc.subject |
Visualization |
en_US |
| dc.title |
A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India |
en_US |
| dc.type |
Article |
en_US |
| dc.relation.journal |
Journal of the American Medical Informatics Association (JAMIA) |
|