The majority of the variation in COVID-19 rates between nations is explained by median age, obesity rate, and island status

Abstract

Since the World Health Organization declared SARS-CoV-2 to be a global pandemic on March 11, 2020, nearly every nation on earth has reported infections. Incidence and prevalence of COVID-19 case rates have demonstrated extreme geospatial and temporal variability across the globe. The outbreaks in some countries are extreme and devastating, while other countries face outbreaks that are relatively minor. The causes of these differences between nations remain poorly understood, and identifying the factors that underlie this variation is critical to understand the dynamics of this disease in order to better respond to this and future pandemics. Here, we examine four factors that we anticipated would explain much of the variation in COVID-19 rates between nations: median age, obesity rate, island status, and strength of border closure measures. Clinical evidence suggests that age and obesity increase both the likelihood of infection and transmission in individual patients, which make them plausible demographic factors. The third factor, whether or not each country is an island nation, was selected because the geographical isolation of islands is expected to influence COVID-19 transmission. The fourth factor of border closure was selected because of its anticipated interaction with island nation status. Together, these four variables are able to explain a majority of the international variance in COVID-19 case rates. Using a dataset of 190 countries, simple modeling based on these four factors and their interactions explains more than 70% of the total variance between countries. With additional covariates, more complex modeling and higher-order interactions explains more than 80% of the variance. These novel findings offer a solution to explain the unusual global variation of COVID-19 that has remained largely elusive throughout the pandemic.

Islands, remoteness and effective policy making: Aotearoa New Zealand during the COVID‐19 pandemic

“…A question that is particularly relevant for the case of Aotearoa New Zealand is: did island nations obtain better outcomes during the pandemic? Island status is not a factor that is often taken into account in COVID‐19 regression analyses, but Fraiman et al (2021) find – using cross‐country data as at March 2021 – that much of the variation in COVID‐19 rates between nations can be explained by median age, obesity rate and island status. Here we revisit this question with another 18 months of data and a wider range of data sources.…”