Correlation Between Diabetes and COVID-19 Indices: A Global Level Ecological Study

Area of Science:

• Epidemiology
• Public Health
• Infectious Diseases

Background:

• Coronavirus disease (COVID-19) poses a significant global public health threat.
• Individuals with underlying health conditions, particularly diabetes, are recognized as a vulnerable demographic for severe COVID-19 outcomes.

Purpose of the Study:

• To investigate the correlation between diabetes prevalence and key epidemiological indicators of COVID-19 across multiple countries.
• To analyze the relationship between diabetes and COVID-19 incidence, mortality, testing rates, and recovery.

Main Methods:

• An ecological study design was employed, analyzing data from 144 countries.
• Data included cumulative incidence rates of COVID-19 cases and deaths, recovery rates, case fatality rates, and testing volumes, alongside diabetes metrics.
• Spearman correlation coefficients and scatter plots were utilized to assess the associations.

Main Results:

• A weak positive correlation was observed between diabetes and the cumulative incidence rate of COVID-19 cases.
• A weak positive correlation was also found between diabetes and the cumulative incidence rate of COVID-19 deaths.
• The correlation between diabetes and the number of COVID-19 tests performed was very weak.

Conclusions:

• The study indicates a weak positive association between diabetes and higher COVID-19 case and death rates.
• These findings underscore the importance of developing region-specific public health policies and guidelines to manage COVID-19 risks in diabetic patients.
• Effective management strategies are crucial for protecting this high-risk group during the ongoing pandemic.