Background: Public health surveillance plays a vital role in informing public health decision-
making. The onset of the COVID-19 pandemic in early 2020 caused a widespread shift in …

Background: The ongoing COVID-19 pandemic has emphasized the necessity of a well-
functioning surveillance system to detect and mitigate disease outbreaks. Traditional …

Background Long-COVID (LC) refers to post-acute COVID-19 symptoms that can last for
months or longer after the initial infection, affecting the physical health of infected patients …

We present a novel approach to estimate the time-varying ascertainment rate in almost real-
time, based on the surveillance of positively tested infectious and hospital admission data …

This study examines the relationship between citizens' satisfaction with government COVID‐
19 communication and management (SWCCM) and institutional trust. By employing a …

Purpose Grounded in dynamic capability view, this research develops a decision support
model, which enables determining consistent and sufficient configurations of resilience …

It has been very difficult to predict the development of the COVID-19 pandemic based on
mathematical models for the spread of infectious diseases, and due to major non …

Background The COVID-19 pandemic posed significant challenges to global health
systems. Efficient public health responses required a rapid and secure collection of health …

Background The burden of influenza-like illness (ILI) is typically estimated via
hospitalizations and deaths. However, ILI-associated morbidity that does not require …

In an effort to provide regional decision support for the public healthcare, we design a data-
driven compartment-based model of COVID-19 in Sweden. From national hospital statistics …