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In this month’s episode, Abt experts Jill Berkowitz and Sung-Woo Cho discuss how machine learning can amplify our work combatting malaria—25 million people protected to date—by applying what we’ve learned to other infectious diseases.

The changing face of governance discourse due to impacts of COVID-19.

Abt’s developed a playbook that illustrates six different types of program theories to help program developers and evaluators visualize program theories.

Midori de Habich is technical director of the Abt-led Local Health System Sustainability Project (LHSS), USAID’s global flagship activity in health systems strengthening.

Abt’s evaluation of Medicare’s AIM found $381.5 million in savings, and raised questions about how those savings—and risks—are shared.

Abt Global conducts annual online surveys among pregnant women and health care personnel on vaccination use and attitudes toward vaccines.

Be it outbreak, epidemic, or pandemic—human or zoonotic—the goal is to get reliable information on infectious diseases, quickly. Abt experts Laura Edwards and Sung-Woo Cho discuss strategies for harnessing machine learning and data visualization to provide actionable information—at scale—that can help stem a health crisis.

CMS’s Oncology Care Model did not deliver enough savings to offset costs, but the cost reductions it achieved may point the way for future models.