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ECDC Fellowship Programme

As seen in: Wiley Online Library, Harm Reduction Journal, Oxford University Press (OUP), PLOS ONE, Frontiers, Archives of Public Health, Biomed Central (BMC), The Lancet
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Articles

Prevalence of diphtheria and antimicrobial-resistant wound infections among asylum seekers in Heidelberg, Germany, August-October 2024

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By ECDC Fellowship Programme, Bernadette Walter, Integration Baden-Wuerttemberg
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Walter B, Lück K, Adam M, Winter B, Krauze P, Rau J, et al. (2026) Prevalence of diphtheria and antimicrobial-resistant wound infections among asylum seekers in Heidelberg, Germany, August–October 2024. PLoS One 21(6): e0350513.
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Impact of environmental factors and climate conditions on the occurrence of Vibrio and Shewanella infections in Norway, 2014–2018

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By Beatriz Martín Valcárcel, Andrew Luke, ECDC Fellowship Programme
| link.springer.com
Background Vibrio and Shewanella spp. (VS) are climate-sensitive bacteria found in marine environments, which sometimes cause severe human infections. VS infections have risen globally, particularly in Northern Europe. In this study, we aimed to describe the epidemiology of VS infections in Norway and to explore marine environmental factors and climate conditions as predictors for public health responses.
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The potential of routine surveillance data for identifying the needs of people living with HIV among migrants: Description of German HIV notifications in the context of the Ukrainian refugee reception, 2022-2023 | BMC Public Health | Springer Nature Link

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By Robert Koch-Institute, ECDC Fellowship Programme
| link.springer.com
Background Since the start of Russia’s war against Ukraine, more than one million people from Ukraine – a country with high Human Immunodeficiency Virus (HIV)-prevalence – have fled to Germany. We aimed to estimate the number of people living with HIV (PLHIV) with a link to Ukraine reported to the German HIV notification system, analyse their characteristics and estimate the proportion of prior known infections to better understand the care needs of this population.
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