Background: The 2019 coronavirus disease (COVID-19) is a global public health emergency resulting in lockdowns, associated diet and lifestyle changes and constraint public health delivery.
Objective: To investigate the impacts of the COVID-19 induced lockdown in Zimbabwe on nutrition, physical activity, alcohol consumption and smoking among Zimbabwean population aged ≥18years.
OBJECTIVE: This paper provides a formal evaluation of the predictive performance of a model (and updates) developed by the Institute for Health Metrics and Evaluation (IHME) for predicting daily deaths attributed to COVID-19 for the United States.
STUDY DESIGN: To assess the accuracy of the IHME models, we examine both forecast accuracy, as well as the predictive performance of the 95% prediction intervals (PI).
A country level exploratory analysis was conducted to assess the impact of timing and type of national health policy/actions undertaken towards COVID-19 mortality and related health outcomes.
Slides of Xihong Lin ACEMS talk on "Learning from the COVID-19 Data in Wuhan, US and World." The talk discussed the Wuhan transmission rate estimates, intervention effects, Rt results, and HowWeFeel findings on the risk factors for positive tests.