Epidemiologists highlighted the dangers of Covid-19 in its early stages, but their warnings went largely ignored until rising infection rates forced policymakers to take action.
The ongoing Covid-19 pandemic is exposing and exacerbating health disparities in America, with Black and brown communities hit especially hard.
World leaders have been tested in their ability to protect their citizens against Covid-19, which has upended nearly every facet of society. Stable leadership is needed now more than ever.
In grappling with the Covid-19 pandemic, many scientists and government officials are looking to the 1918 pandemic as a reference point for lessons learned.
A statewide council of leaders will guide New Jersey’s restart and recovery from shutdowns implemented in response to the Covid-19 pandemic, Governor Phil Murphy announced last week.
Covid-19 has had a disproportionate impact on at-risk populations, shining the spotlight on economic inequality and instability. Issues such as limited access to health care, unemployment, and financial vulnerability are now driving much of the government’s response.
As the rest of the world struggles to combat Covid-19, China, where the virus originated in late 2019, appears to have made significant strides to quell the virus. As a result, researchers, health care professionals, and policymakers around the world are looking for the lessons learned from China’s experience.
Health care is deeply intertwined with public policy, especially now as the world grapples with containing Covid-19. This battle is not only being fought on the government level, but also in hospitals and laboratories as scientists search for a cure.
As the number of COVID-19 cases around the nation continues to climb, Americans are racing to respond. Entire cities have ground to a halt. Doctors have appealed for more masks, gowns, and eye gear. And many states have closed nonessential businesses and issued shelter-in-place orders.
Many case studies suggest that low income and racial minority groups face disproportionately high exposures to environmental pollution. But the existing evidence is piecemeal and indirect due to the patchy nature of the available environmental data.