4.5 Article

A linear mixed model to estimate COVID-19-induced excess mortality

Related references

Note: Only part of the references are listed.
Letter Medicine, General & Internal

All-Cause Excess Mortality and COVID-19-Related Mortality Among US Adults Aged 25-44 Years, March-July 2020

Jeremy Samuel Faust et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2021)

Letter Medicine, General & Internal

Excess Mortality in California During the Coronavirus Disease 2019 Pandemic, March to August 2020

Yea-Hung Chen et al.

Summary: This study focuses on the excess number of deaths among population subgroups in California during the COVID-19 pandemic, using time-series analysis.

JAMA INTERNAL MEDICINE (2021)

Article Infectious Diseases

Estimates of mortality attributable to COVID-19: a statistical model for monitoring COVID-19 and seasonal influenza, Denmark, spring 2020

Jens Nielsen et al.

Summary: The study introduces a new statistical model, AttMOMO, which estimates mortality attributable to multiple pathogens simultaneously, such as SARS-CoV-2 and seasonal influenza viruses, while adjusting for seasonality and excess temperatures. Using Danish data, the model accurately estimates mortality attributable to COVID-19 and influenza, respectively. The study suggests using standardized indicators for pathogen circulation in the population to make estimates comparable between countries and applicable for timely monitoring.

EUROSURVEILLANCE (2021)

Article Biology

Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset

Ariel Karlinsky et al.

Summary: The study highlights the importance of using excess mortality as a more objective indicator of the impact of the COVID-19 pandemic and reveals the varying levels of excess mortality in different countries during the pandemic. The authors stress the need for open and rapid reporting of all-cause mortality data for effective pandemic monitoring.

ELIFE (2021)

Article Public, Environmental & Occupational Health

Excess mortality from COVID-19: weekly excess death rates by age and sex for Sweden and its most affected region

Karin Modig et al.

Summary: In Sweden, COVID-19 has led to significantly increased excess mortality in the age group above 60, with those above 80 being the most affected. Men had higher death rates compared to women in the age group up to 75. In older age groups, the excess mortality was similar for men and women, with rates reaching up to 1.5 times higher in Sweden and up to 3 times higher in Stockholm. Life expectancy at age 50 decreased by less than 1 year for Sweden and 1.5 years for Stockholm compared to 2019.

EUROPEAN JOURNAL OF PUBLIC HEALTH (2021)

Article Public, Environmental & Occupational Health

Temporal dynamics in total excess mortality and COVID-19 deaths in Italian cities

Paola Michelozzi et al.

BMC PUBLIC HEALTH (2020)

Article Infectious Diseases

Excess mortality due to COVID-19 in Germany

Andreas Stang et al.

JOURNAL OF INFECTION (2020)

Editorial Material Medicine, General & Internal

Excess mortality: the gold standard in measuring the impact of COVID-19 worldwide?

Thomas Beaney et al.

JOURNAL OF THE ROYAL SOCIETY OF MEDICINE (2020)

Article Public, Environmental & Occupational Health

All-cause mortality supports the COVID-19 mortality in Belgium and comparison with major fatal events of the last century

Natalia Bustos Sierra et al.

ARCHIVES OF PUBLIC HEALTH (2020)

Article Infectious Diseases

Influenza-associated mortality determined from all-cause mortality, Denmark 2010/11-2016/17: The FluMOMO model

Jens Nielsen et al.

INFLUENZA AND OTHER RESPIRATORY VIRUSES (2018)

Article Mathematical & Computational Biology

Residual analysis for linear mixed models

Juvencio Santos Nobre et al.

BIOMETRICAL JOURNAL (2007)