Policy makers must adopt agile signal detection tools to strengthen epidemiological surveillance and improve pandemic preparedness

Publisher: Health Policy Authors: Cédric Mahé, Aimo Kannt, AIOLOS Consortium View publication Abstract The SARS-COV2 pandemic has highlighted the urgent need for agile and responsive disease surveillance systems. To strengthen epidemiological surveillance and improve pandemic preparedness, policymakers must adopt real-time signal detection tools that integrate multisource data, including non-traditional health data, advanced analytics, and artificial […]

Artificial Intelligence (AI) ToOLs for Outbreak Detection and response: a transnational platform for surveillance, monitoring and decision support

Event: ISPOR Europe 2023, Copenhagen, Denmark  Authors: M. Génin, J. Botz, L. Coudeville, M. Eisenlauer, T. Fauvel, F. Huschka, N. Lambert, D. Wang, V. Bosch Castells, C. Commaille-Chapus, B. Frandji, M. Haberstroh, JY. Robin, P. Roehn, H. Sippel, P. Thiele, E. Thommes, C. Weber, B. Amzal, H. Fröhlich, A. Kannt, C. Mahé View Poster Objectives […]

High-Dose Influenza Vaccine Is Associated With Reduced Mortality Among Older Adults With Breakthrough Influenza Even When There Is Poor Vaccine-Strain Match

Publisher: Clinical Infectious DiseasesAuthors: S.S. Chaves, S. Naeger, K. Lounaci, Y. Zuo, M.M. Loiacono, Q. Pilard, J. Nealon, M. Génin, C. Mahe View publication Background High-dose (HD) influenza vaccine offers improved protection from influenza virus infection among older adults compared with standard-dose (SD) vaccine. Here, we explored whether HD vaccine attenuates disease severity among older adults with breakthrough influenza. […]

Modeling approaches for early warning and monitoring of pandemic situations as well as decision support

Publisher: Frontiers in Public HealthAuthors: J. Botz, D. Wang, N. Lambert, N. Wagner, M. Génin, E. Thommes, S. Madan, L. Coudeville, H.Fröhlich View publication The COVID-19 pandemic has highlighted the lack of preparedness of many healthcare systems against pandemic situations. In response, many population-level computational modeling approaches have been proposed for predicting outbreaks, spatiotemporally forecasting disease spread, and […]

Epidemiology, treatment patterns, clinical outcomes, and disease burden among patients with immune‐mediated thrombotic thrombocytopenic purpura in the United States

Publisher: Research and practice in thrombosis and haemostasis (rpth)Authors: A. Adeyemi, F. Razakariasa, A. Chiorean, R. de Passos Sousa View publication Background Immune‐mediated thrombotic thrombocytopenic purpura (iTTP) is a life‐threatening thrombotic microangiopathy. Due to its rarity, epidemiology and real‐world outcomes data are scarce.   Objectives The aim was to assess epidemiology, treatment patterns, clinical outcomes, and […]

Assay Harmonization and Use of Biological Standards To Improve the Reproducibility of the Hemagglutination Inhibition Assay: a FLUCOP Collaborative Study

Publisher: ASM Journals / mSphereAuthors: J. Waldock, L. Zheng, E.J. Remarque, A. Civet, B. Hu, S. Lartey Jalloh, R. Jane Cox, S. Ho, K. Hoschler, T. Ollinger, C.M. Trombetta, O.G. Engelhardt, C.Caillet View publication Background The hemagglutination inhibition (HAI) assay is an established technique for assessing influenza immunity, through measurement of antihemagglutinin antibodies. Improved reproducibility of […]