Toward Efficient Analysis of Open Data and Social Phenomenon -a Case Study on Weather Influence on Spreading of SARS-CoV-2

The most pernicious ongoing phenomenon severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the disease is known as Covid-19 that has spread worldwide, has set the world in a state of torpid. In the interim, to understand every possible potential related to the virus and its transmission is getting studied by the researchers with every possible effort. Although finding causal relations among openly accessible data and the target phenomenon in a scientific manner is important, it would be helpful when we find potentially strongly related parameters to be scientifically further investigated. To contribute towards, in this paper we have presented our case study on collecting and measuring openly available data, the local tem-perature in the area and its prediction performance to virus spreading.