In the WHO European Region, COVID-19 surveillance was implemented 27 January 2020. We detail the first European cases. As at 21 February, nine European countries reported 47 cases. Among 38 cases studied, 21 were linked to two clusters in Germany and France, 14 were infected in China. Median case age was 42 years; 25 were male. Late detection of the clusters’ index cases delayed isolation of further local cases. As at 5 March, there were 4,250 cases.

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Background The COVID-19 pandemic and associated non-pharmaceutical interventions (NPIs) affect healthcare seeking behaviour, access to healthcare, test strategies, disease notification and workload at public health authorities, but may also lead to a true change in transmission dynamics. We aimed to assess the impact of the pandemic and NPIs on other notifiable infectious diseases under surveillance in Germany. Methods We included 32 nationally notifiable disease categories with case numbers >100/year in 2016–2019. We used quasi-Poisson regression analysis on a weekly aggregated time-series incorporating trend and seasonality, to compute the relative change in case numbers during week 2020–10 to 2020–32 (pandemic/NPIs), in comparison to week 2016–01 to 2020–09. Findings During week 2020–10 to 2020–32, 216,825 COVID-19 cases, and 162,942 (-35%) cases of other diseases, were notified. Case numbers decreased across all ages and notification categories (all p <0•05), except for tick-borne encephalitis, which increased (+58%). The number of cases decreased most for respiratory diseases (from -86% for measles, to -12% for tuberculosis), gastro-intestinal diseases (from -83% for rotavirus gastroenteritis, to -7% for yersiniosis) and imported vector-borne diseases (-75% dengue fever, -73% malaria). The less affected infections were healthcare associated pathogens (from -43% infection/colonisation with carbapenem-non-susceptible Acinetobacter , to -28% for Methicillin-resistant Staphylococcus aureus invasive infection) and sexually transmitted and blood-borne diseases (from -28% for hepatitis B, to -12% for syphilis). Interpretation During the COVID-19 pandemic a drastic decrease of notifications for most infectious diseases and pathogens was observed. Our findings suggest effects of NPIs on overall disease transmission that require further investigation. Funding The Robert Koch Institute is the National Public Health Institute of Germany, and is an institute within the portfolio of the Federal Ministry of Health.

ZusammenfassungAm 27.01.2020 wurde in Deutschland der erste Fall mit einer SARS-CoV-2-Infektion diagnostiziert. Für die Beschreibung des Pandemieverlaufs im Jahr 2020 wurden 4 epidemiologisch verschiedene Phasen betrachtet und Daten aus dem Meldesystem gemäß Infektionsschutzgesetz (IfSG) sowie hospitalisierte COVID-19-Fälle mit schwerer akuter respiratorischer Infektion aus der Krankenhaus-Surveillance eingeschlossen.Phase 0 umfasst den Zeitraum von Kalenderwoche (KW) 5/2020 bis 9/2020, in dem vor allem sporadische Fälle <60 Jahre und regional begrenzte Ausbrüche beobachtet wurden. Insgesamt wurden 167 Fälle übermittelt, die vorwiegend mild verliefen. Dem schloss sich in Phase 1 (KW 10/2020 bis 20/2020) die erste COVID-19-Welle mit 175.013 Fällen im gesamten Bundesgebiet an. Hier wurden vermehrt Ausbrüche in Krankenhäusern, Alten- und Pflegeheimen sowie ein zunehmender Anteil an älteren und schwer erkrankten Personen verzeichnet. In Phase 2, dem „Sommerplateau“ mit eher milden Verläufen (KW 21/2020 bis 39/2020), wurden viele reiseassoziierte COVID-19-Fälle im Alter von 15–59 Jahren und einzelne größere, überregionale Ausbrüche in Betrieben beobachtet. Unter den 111.790 Fällen wurden schwere Verläufe seltener beobachtet als in Phase 1. Phase 3 (KW 40/2020 bis 8/2021) war gekennzeichnet durch die zweite COVID-19-Welle in Deutschland, die sich zum Jahresende 2020 auf dem Höhepunkt befand. Mit 2.158.013 übermittelten COVID-19-Fällen und insgesamt deutlich mehr schweren Fällen in allen Altersgruppen verlief die zweite Welle schwerer als die erste Welle. Unabhängig von den 4 Phasen waren v. a. Ältere und auch Männer stärker von einem schweren Krankheitsverlauf betroffen.

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German national surveillance data analysis shows that hospitalisation odds associated with Omicron lineage BA.1 or BA.2 infections are up to 80% lower than with Delta infection, primarily in ≥ 35-year-olds. Hospitalised vaccinated Omicron cases’ proportions (2.3% for both lineages) seemed lower than those of the unvaccinated (4.4% for both lineages). Independent of vaccination status, the hospitalisation frequency among cases with Delta seemed nearly threefold higher (8.3%) than with Omicron (3.0% for both lineages), suggesting that Omicron inherently causes less severe disease.

Social epidemiological research describes correlations between socioeconomic status and the population’s risk to become diseased or die. Little research of such correlations for SARS-CoV-2 and COVID-19 has so far been conducted. This scoping review provides an overview of the international research literature. Out of the 138 publications found, 46 were later included in the analysis. For the US and the UK, the reported findings indicate the presence of socioeconomic inequalities in infection risks as well as the severity of the course of the disease, with socioeconomically less privileged populations being hit harder. There are far fewer findings for Germany to date, as is the case for most other European countries. However, the scant evidence available so far already indicates that social inequalities are a factor in COVID-19. Most of these analyses have been ecological studies with only few studies considering socioeconomic inequalities at the individual level. Such studies at the individual level are particularly desirable as they could help to increase our understanding of the underlying pathways that lead to the development of inequalities in infection risks and the severity of disease and thereby could provide a basis to counteract the further exacerbation of health inequalities.

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