Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Liuhuaying Yang"'
Autor:
Amélie Desvars-Larrive, Anna Elisabeth Vogl, Gavrila Amadea Puspitarani, Liuhuaying Yang, Anja Joachim, Annemarie Käsbohrer
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract The eco-epidemiology of zoonoses is often oversimplified to host-pathogen interactions while findings derived from global datasets are rarely directly transferable to smaller-scale contexts. Through a systematic literature search, we compile
Externí odkaz:
https://doaj.org/article/0198074ae2924f10bdbabdd35c6a1fd6
Autor:
Elma Dervić, Johannes Sorger, Liuhuaying Yang, Michael Leutner, Alexander Kautzky, Stefan Thurner, Alexandra Kautzky-Willer, Peter Klimek
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract We aim to comprehensively identify typical life-spanning trajectories and critical events that impact patients’ hospital utilization and mortality. We use a unique dataset containing 44 million records of almost all inpatient stays from 20
Externí odkaz:
https://doaj.org/article/8ef9efff8f294d0b990682ce613b0837
Autor:
Amélie Desvars-Larrive, Anna Elisabeth Vogl, Gavrila Amadea Puspitarani, Liuhuaying Yang, Anja Joachim, Annemarie Käsbohrer
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/6c77a15df16b4c62baa6bad9cb93cb41
Autor:
Afra Nerpel, Liuhuaying Yang, Johannes Sorger, Annemarie Käsbohrer, Chris Walzer, Amélie Desvars-Larrive
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-13 (2022)
Measurement(s) SARS-CoV-2 event in animal hosts Technology Type(s) Manual data collection from text sources Factor Type(s) ID • primary_source • archive_event_number • link_web • secondary_source • secondary_source_ID • secondary_source_w
Externí odkaz:
https://doaj.org/article/aaf47b0fc1ac4b91869b9b1fa24f46be
Autor:
Michaela Kaleta, Jana Lasser, Elma Dervic, Liuhuaying Yang, Johannes Sorger, D. Ruggiero Lo Sardo, Stefan Thurner, Alexandra Kautzky-Willer, Peter Klimek
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
As mass quarantines, absences due to sickness, or other shocks thin out patient-physician networks, the system might be pushed to a tipping point where it loses its ability to deliver care. Here, the authors propose a data-driven framework to quantif
Externí odkaz:
https://doaj.org/article/e28e9e50df3d4f6297ceae4c3570f3e4
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c21b123637b350d94a7bb5cc0f4b7b7c
https://doi.org/10.2139/ssrn.4451526
https://doi.org/10.2139/ssrn.4451526