A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India

Author:

Ulahannan Jijo Pulickiyil1,Narayanan Nikhil2ORCID,Thalhath Nishad3ORCID,Prabhakaran Prem4,Chaliyeduth Sreekanth5ORCID,Suresh Sooraj P6,Mohammed Musfir7ORCID,Rajeevan E8,Joseph Sindhu9ORCID,Balakrishnan Akhil10,Uthaman Jeevan11ORCID,Karingamadathil Manoj12ORCID,Thomas Sunil Thonikkuzhiyil13,Sureshkumar Unnikrishnan14,Balan Shabeesh15ORCID,Vellichirammal Neetha Nanoth16,

Affiliation:

1. Department of Physics, Government College Kasaragod, Kannur University, Kannur, India

2. Open Data Researcher, Bengaluru, India

3. School of Library, Information and Media Studies, University of Tsukuba, Tsukuba, Japan

4. Department of Advanced Materials and Chemical Engineering, Hannam University, Daejeon, South Korea

5. Centre for Cognitive and Brain Sciences, Indian Institute of Technology Gandhinagar, Gandhinagar, India

6. Department of Humanities and Social Sciences, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India

7. Embedded Analytics, ML and Data Sciences, Experion Technologies, Thiruvananthapuram, India

8. Department of Philosophy, Government Brennen College, Kannur University, Kannur, India

9. Department of Travel and Tourism Management, Govinda Pai Memorial Government College, Kannur University, Kannur, India

10. Software Research and Development Team, Crowcon, Bengaluru, India

11. Department of Marine Geophysics, Cochin University of Science and Technology, Kochi, India

12. Swathanthra Malayalam Computing, Thrissur, India

13. Department of Electronics, College of Engineering Attingal, APJ Abdul Kalam Technical University, Thiruvananthapuram, India

14. Astronomical Observatory of the Jagiellonian University, Faculty of Physics, Astronomy and Applied Science, Jagiellonian University, Kraków, Poland

15. Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Japan

16. Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, Nebraska, USA

Abstract

Abstract Objective 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. Materials and Methods Through a citizen science initiative, we leveraged publicly available and crowd-verified data on COVID-19 outbreak in Kerala from the government bulletins and media outlets to generate reusable datasets. This was further visualized as a dashboard through a front-end Web application and a JSON (JavaScript Object Notation) repository, which serves as an application programming interface for the front end. Results From the sourced data, we provided real-time analysis, and daily updates of COVID-19 cases in Kerala, through a user-friendly bilingual dashboard (https://covid19kerala.info/) for nonspecialists. To ensure longevity and reusability, the dataset was deposited in an open-access public repository for future analysis. Finally, we provide outbreak trends and demographic characteristics of the individuals affected with COVID-19 in Kerala during the first 138 days of the outbreak. Discussion We anticipate that our dataset can form the basis for future studies, supplemented with clinical and epidemiological data from the individuals affected with COVID-19 in Kerala. Conclusions We reported a citizen science initiative on the COVID-19 outbreak in Kerala to collect and deposit data in a structured format, which was utilized for visualizing the outbreak trend and describing demographic characteristics of affected individuals.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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