We know that the coronavirus pandemic is affecting men and women differently and may exacerbate gender inequalities, and we also know that gender roles will help shape adaptive responses to the pandemic. But do we have the granular information that is needed (on regions, sectors, coverage, and severity) to design effective, gender-informed mitigation and recovery policies?
CGD Policy Blogs
One month ago, we launched a survey asking education service providers about their biggest concerns and challenges in light of the COVID-19 crisis. Thanks to their responses, we now have a better understanding of how COVID-19 is affecting education service operations—and what providers are doing in response.
As the COVID-19 pandemic is evolving, a growing number of countries are making use of information derived from epidemiological mathematical models in policy and public communication.
Before COVID-19, the 2014-2015 West African Ebola epidemic (EVD epidemic), was one of the most heavily modelled outbreaks in history. Within the first two months of the COVID-19 pandemic, 31 mathematical models were developed. Despite the clear differences in the two outbreaks, the EVD epidemic can help us draw lessons to improve COVID-19 modelling and its reach in policymaking. We discuss some of those learnings in this piece