… COVID-19 data sources over the specific time periods and particular locations they have
chosen to analyze, … potential issues inherent to the data itself, which is the focus of this analysis. …

… Rigorous analysis of the Kermack-McKendrick-type compartmental epidemic model we
developed, which takes the form of a deterministic system of nonlinear differential equations, …

… In these cases, and where our predicted excess mortality is lower than the reported
COVID-19 fatalities, we will use the latter for our estimate of COVID-19 deaths. It only makes a …

… a global pandemic, coronavirus disease-2019 (COVID-19), … to answer during the COVID-19
pandemic has been … about the true impact of COVID-19 in any given susceptible population, …

… Three complementary methods were adopted to analyse the timing of events and responses
to COVID-19. First, we conducted a systematic review to identify peer-reviewed articles and …

… To better structure the review and the subsequent analysis, theoretical frameworks such as
… COVID-19 and beyond. Rather than serving as a definitive answer to problematic COVID-19 …

… , as well as the barriers to perform rigorous research in health care settings … The adequately
powered, comparative, rigorous … pooled analysis/meta-analysis; needed for COVID-19 but …

… Here, we present the results of the analysis of time series of epidemiological data available
… dynamics of the emerged coronavirus epidemic in the epicenter in mainland China. …

… coronavirus disease 2019 (COVID‐19) outbreak and impact of different control measures,
conducted the sensitivity analysis … More rigorous government control policies were associated …

… We aimed to find risk factors for the progression of COVID-19 to help reducing the risk of …
The quality of the literature included in this study is high, the analysis is rigorous, and the …