While predicting the course of an epidemic is difficult, predicting the course of a pandemic from an emerging virus is even more so. The validity of most predictive models relies on numerous parameters, involving biological and social characteristics often unknown or highly uncertain. Data of the COVID-19 epidemics in China, Japan, South Korea and Italy were used to build up deterministic models without strong assumptions. These models were then applied to other countries to identify the closest scenarios in order to foresee their coming behaviour. The models enabled to predict situations that were confirmed little by little, proving that these tools can be efficient and useful for decision making in a quickly evolving operational context.
Tracking America’s vaccine rollout
Bloomberg has been tracking America’s Covid-19 vaccine rollout, stating that an average of 1.7 million doses are being recorded every day. As of March 1st, the number of doses was in the region of 2.4 million. So far, 75 million doses have been administered across the country, 22.7 for every 100 people.
Demographics affect healthcare outcomes
Demographic shifts and societal changes are intensifying pressures on health systems and demanding new directions in the delivery of healthcare. We are getting older. Ageing populations in both emerging and developed nations are driving up the demand for healthcare. According to the United Nations, the world’s population is expected to increase by one billion people […]