Though we do not specialize in epidemic research, we systematically search scientific literature on a given topic and visualize the connections between publications. In these networks, called science maps, we distinguish clusters that represent meaningful research fields, and describe them in the reviews. Here we explain the details of our procedure.
To the lockdown consequences and drug trials
A closed space with poor ventilation, a large crowd. And one person feels unwell – or doesn’t yet, but will in a few days. How many people will they infect?
Discovering how the weather, seasonal, and long-term climate change affects virus transmission
Tracing the evolution of epidemiological modeling from its origins to the present
Explaining demographic, spatial and probabilistic models of epidemics and vaccination
From disease symptoms to asymptomatic transmission modeling based on mobile data
Here we review why cutting down tropical forests results in new epidemics, where they are predicted to start, and how to reduce the likelihood of virus transmission from bats to humans
How does human intervention in wild habitat affect the emergence of new pandemics? We explain this on the example of epidemics that have spread from bats. In the first part of the review, we discuss whether bats are “special” as hosts of the viruses, and how the environment affects the likelihood of infection spillover
We open a series of posts on modeling epidemics. Read the review of papers that use the most popular model
Get to know how local animal viruses cause diseases and spread to humans