Academic Paper

Was school closure effective in mitigating coronavirus disease 2019 (COVID-19)? Time series analysis using Bayesian inference

July, 2020

Highlights

  • The effectiveness of school closure remains unknown to mitigate the epidemic of COVID-19.
  • Time series analyses were conducted using the Bayesian method to evaluate the effectiveness of school closure in Japan.
  • The intervention of school closure did not appear to decrease the incidence of coronavirus infection.

Objectives

Effect of COVID19 Induced Lockdown on Nutrition, Health and Lifestyle in Zimbabwe

August, 2020

Abstract

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.

Examination of Statistical Accuracy of COVID-19 Daily Death Count Predictions

May, 2020

Abstract

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).

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