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Why it's good for COVID-19 models to be wrong
As we react to the predictions that epidemiological models make, changing the ways we act and go about our lives, those estimates can appear totally off. But if a model’s predictions end up being ...
A recent breakthrough study has introduced a novel methodology that significantly enhances the accuracy of epidemiological estimates for infectious diseases like COVID-19. A recent breakthrough study ...
Ambient temperatures are associated with over 5 million premature deaths worldwide every year, more than 300,000 of which in Western Europe alone. In a context of rapidly warming temperatures that ...
The present study deals with the dynamical response of an eco-epidemiological model consisting of prey and predator species having infection in prey population. The inclusion of prey refugia is taken ...
Inspired by tensions between health and financial well-being during the COVID-19 pandemic, a new model could significantly improve predictions of how disease will spread by acknowledging the tradeoffs ...
Researchers trained a model to identify women at risk of endometrial cancer from the general population using the largest, most heterogeneous international study population to date; findings suggest ...
Advances in AI-driven modeling improve outbreak predictions, but success hinges on data accessibility. Study: Artificial intelligence for modelling infectious disease epidemics. Image Credit: ...
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