Evidence map›Paper›PMID 39298083›Full record

ArticleInfectious diseases and therapy2024

Influenza-Associated Excess Mortality and Hospitalization in Germany from 1996 to 2018.

Christian J A Schindler, Ian Wittenberg, Oliver Damm, Rolf Kramer, Rafael Mikolajczyk, Tonio Schönfelder

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Article in Infectious diseases and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Christian J A SchindlerWIG2 GmbH, Markt 8, 04109, Leipzig, Germany.ORCID http://orcid.org/0000-0002-6173-9875
Ian WittenbergInstitute of Medical Epidemiology, Biometry and Informatics, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, 06108, Halle (Saale), Germany.
Oliver DammSanofi-Aventis Deutschland GmbH, Lützowstr. 107, 10785, Berlin, Germany.ORCID http://orcid.org/0000-0003-0261-3655
Rolf KramerSanofi-Aventis Deutschland GmbH, Lützowstr. 107, 10785, Berlin, Germany.
Rafael MikolajczykInstitute of Medical Epidemiology, Biometry and Informatics, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, 06108, Halle (Saale), Germany.ORCID http://orcid.org/0000-0003-1271-7204
Tonio SchönfelderWIG2 GmbH, Markt 8, 04109, Leipzig, Germany. tonio.schoenfelder@wig2.de.ORCID http://orcid.org/0000-0001-6158-4191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInfluenza-associated excess mortality and morbidity is commonly estimated using statistical methods. In Germany, the Robert Koch Institute (RKI) uses the relative mortality distribution method (RMDM) to estimate influenza-associated excess mortality without reporting age-specific values. In order to better differentiate the distribution of the disease burden, a distinction by age is of high relevance. Therefore, we aimed to revise the existing excess mortality model and provide age-specific excess mortality estimates over multiple seasons. We also used the model to determine influenza-associated excess hospitalizations, since the RKI excess hospitalization model is currently based on another approach (i.e., combination of excess physician visits and hospitalized proportion).

methodsThis study was a retrospective data analysis based on secondary data of the German population from 1996-2018. We adapted the RKI's method of estimating influenza-associated excess mortality with the RMDM and also applied this approach to excess hospitalizations. We calculated the number of excess deaths/hospitalizations using weekly and age-specific data.

resultsData available in Germany are suitable for addressing the restrictions of the RKI's mortality model. In total, we estimated 175,858 (176,482 with age stratification) influenza-associated excess all cause deaths between 1995-1996 and 2017-2018 ranging from 0 (17 with age stratification) in 2005-2006 to 25,599 (25,527 with age stratification) in 2017-2018. Total influenza-associated excess deaths were comparable to RKI's estimates in most seasons. Most excess deaths/hospitalizations occurred in patients aged ≥ 60 years (95.42%/57.49%) followed by those aged 35-59 years (3,80%/24,98%). Compared with our model, the RKI hospitalization model implies a substantial underestimation of excess hospitalizations (828,090 vs. 374,200 over all seasons).

conclusionThis is the first study that provides age-specific estimates of influenza-associated excess mortality in Germany. The results clearly show that the main burden of influenza is in the elderly, for whom prevention and control measures should be prioritized.

Indexed as

Excess mortalityGermanyHospitalizationHumanInfluenzaPatient admission

Identifiers

PMID39298083
PMCPMC11499578

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