Infectious diseases pose a persistent challenge to public health worldwide. Recent global
health crises, such as the COVID-19 pandemic and Ebola outbreaks, have underscored the …

Nonnegative tensor completion for dynamic counterfactual prediction on COVID-19
pandemic Page 1 The Annals of Applied Statistics 2024, Vol. 18, No. 1, 224–245 https://doi.org/10.1214/23-AOAS1787 …

In this perspective, I first share some key lessons learned from the experience of modeling
the transmission dynamics of SARS-CoV-2 in India since the beginning of the COVID-19 …

This paper addresses pandemic statistics from a management perspective. Both input and
output are easy to understand. Focus is on operations and cross border communication. To …

Uncertainty Quantification in Medicine Science: The Next Big Step Uncertainty
Quantification in Medicine Science: The Next Big Step Arch Bronconeumol. 2023 Nov;59(11):760-761 …

We appreciate the opportunity to discuss the thought-provoking paper by Quick, Dey and Lin
(2021), which we shall refer to as QDL in the following for convenience. There is a lot of …

Mathematical models have been widely used during the ongoing SARS-CoV-2 pandemic for
data interpretation, forecasting, and policy making. However, most models are based on …

In the early days of development of a pandemic there is no time for complicated data
collection. One needs a simple cross-country benchmark approach based on robust data …

During infectious disease outbreaks, estimates for the instantaneous reproduction number,
R (t), are essential for understanding transmission dynamics. This study develops and …

In this article, I will discuss my experience as a statistician involved in COVID-19 research in
multiple capacities in the last two years, especially in the early phase of the pandemic. I will …