Worldwide Coronavirus Correlation Analysis

Analysis of Seasonal Temperature to Spread Correlation

When analyzed, the relationship between seasonal temperature rise and COVID-19 cases reveals a slight, but statistically insignificant correlation.

This analysis is based on a dataset comprised of the average temperature of ten (10) countries (United States, Spain, Italy, China, United Kingdom, Iran, France, Switzerland, Germany and India) and the number of confirmed COVID-19 cases in each country.

Analytical Technique

Analysis was performed using the Karl Pearson Correlation algorithm

While this analysis establishes a very slight correlation between temperature increase and COVID-19 case decrease, the correlation is so slight as to be negligible and therefore cannot be substantiated.

Model Summary

* Disclaimer: Results are derived using Smarten Predictive Modeling Analytics and are based on available, reported data. Rapid changes in research, spread and circumstances surrounding the COVID-19 global pandemic may significantly change the nature and interpretation of these models.

Get the Facts and the Most Current Information Here

Public Service Announcement

Governmental and Health Agency Information Resources

Health Organization (WHO)
Indian Council of Medical Research (ICMR)

Visit This Site Often to Get the Facts

Courtesy of Smarten Augmented Analytics

For Questions About These Analytics and This Site,
Please Contact the Smarten Support Team

Share With Others