Short Communication
Volume 3 Issue 2 - 2021
Need for Transparent Open Data in Planning Public Health Emergencies
Sindhu Joseph*
GPM Government College, Kannur University, Kerala, India
*Corresponding Author: Sindhu Joseph, GPM Government College, Kannur University, Kerala, India.
Received: September 02, 2020; Published: January 23, 2021




The trigger of Covid-19 pandemic brought an unprecedented pandemonium throughout the world. It is for the first time in human history when the disease spread virulently regardless of its size, population and development. Some countries successfully contained the infection in a dexterous way by adopting the mitigating epidemic strategies of anticipation, early detection, containment, control, mitigation and elimination or eradication suggested by the World Health Organization [1]. At the same time, many other nations are still astounded at the phase of this global infection. The fretfulness created by the ‘number of deaths in 24 hours’ from different countries accelerated mitigation policies across the globe.

References

  1. World Health Organization. “Managing epidemics: key facts about major deadly diseases” (2020).
  2. Lathika A., et al. “Epidemic Landscape and Forecasting of SARS-CoV-2 in India” (2020).
  3. Sun K., et al. “Undefined. Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study” (2020).
  4. Dong E., et al. “An interactive web-based dashboard to track COVID-19 in real time” (2020).
  5. World Health Organization. “Protocol to investigate non-seasonal influenza and other emerging acute respiratory diseases” (2018).
  6. Alamo T., et al. “Open Data Resources for Fighting COVID-19” (2020).
  7. Vasudevan V., et al. “Disparity in the quality of COVID-19 data reporting across India”. Medrxiv (2020).
  8. Modjarrad K., et al. “Developing Global Norms for Sharing Data and Results during Public Health Emergencies”. PLOS Medicine 1 (2016): e1001935.
  9. Whitty C., et al. “Providing incentives to share data early in health emergencies: the role of journal editors (2015).
  10. WHO Statement on Data Sharing - Ebolavirus - Virological (2015).
  11. Angelova B and Zekiri J. “Measuring Customer Satisfaction with Service Quality Using American Customer Satisfaction Model (ACSI Model)”. International Journal of Academic Research in Business and Social Sciences 3 (2011).
  12. Moorthy V., et al. “Data sharing for novel coronavirus (COVID-19) Bulletin of the World Health Organization”. World Health Organization98 (2020): 150.
  13. Ulahannan JP., 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 (2020).
  14. Xu B., et al. “Open access epidemiological data from the COVID-19 outbreak”. The Lancet Infectious Diseases 5 (2020): 534.
  15. David L Heymanna. “Data sharing and outbreaks: best practice exemplified”. Lancet10223 (2020): 469-470.
  16. Organization WH. “Coronavirus disease (COVID-19) Weekly Epidemiological Update 1 Global epidemiological situation” (2020).
  17. Yozwiak N., et al. “Data sharing: Make outbreak research open access”. Nature 518.7540 (2020): 477-479.
  18. Global Consortium for Chemosensory Research (GCCR) – chemical senses (2011).
Citation: Sindhu Joseph. “Need for Transparent Open Data in Planning Public Health Emergencies”. EC Nursing and Healthcare 3.2 (2021): 142-144.

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