Challenges and Perspectives of Open Data in Modelling Infectious Diseases.

Autor: Branda, Francesco, Lodi, Giorgia
Předmět:
Zdroj: Data (2306-5729); Feb2023, Vol. 8 Issue 2, p27, 3p
Abstrakt: Without clear, supportive, transparent and open data that can show the effectiveness of face masks in preventing airborne disease transmission, the result can be non-acceptance, as we witnessed at the beginning of the pandemic, and which still persists in some geographical areas and within some groups of people. The term open data refers to any non-personal data (e.g., categorical data, numerical data, etc.) that can be freely used, re-used, re-distributed, made accessible, and available in an open, standardized format that can be processed by machines to facilitate data consultation and incentivize data reuse, according to the rights and obligations defined in specific open licenses [[3]]. The pandemic challenged the scientific community and governments around the world, who were looking for real-time answers but lacked the data or evidence to guide decision-making. [Extracted from the article]
Databáze: Complementary Index